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2501.05514
XRISM reveals low non-thermal pressure in the core of the hot, relaxed galaxy cluster Abell 2029
We present XRISM Resolve observations of the core of the hot, relaxed galaxy cluster Abell 2029. We find that the line-of-sight bulk velocity of the intracluster medium (ICM) within the central 180 kpc is at rest with respect to the Brightest Cluster Galaxy, with a 3-sigma upper limit of |v_bulk| < 100 km/s. We robustly measure the field-integrated ICM velocity dispersion to be sigma_v = 169 +/- 10 km/s, obtaining similar results for both single-temperature and two-temperature plasma models to account for the cluster cool core. This result, if ascribed to isotropic turbulence, implies a subsonic ICM with Mach number M_3D ~ 0.21 and a non-thermal pressure fraction of 2%. The turbulent velocity is similar to what was measured in the core of the Perseus cluster by Hitomi, but here in a more massive cluster with an ICM temperature of 7 keV, the limit on non-thermal pressure fraction is even more stringent. Our result is consistent with expectations from simulations of relaxed clusters, but it is on the low end of the predicted distribution, indicating that Abell 2029 is an exceptionally relaxed cluster with no significant impacts from either a recent minor merger or AGN activity.
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13.686397
4.951894
2025-01-02
1
2025arXiv250105514X
[ "relaxed clusters", "non-thermal pressure fraction", "similar results", "ICM", "XRISM Resolve observations", "a non-thermal pressure fraction", "the cluster cool core", "isotropic turbulence", "Mach number", "XRISM Resolve" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
733
[ "10.48550/arXiv.2501.05514" ]
[ "XRISM Collaboration" ]
[ "-" ]
[ "2025arXiv250117607S" ]
[ "1979ApJ...228..939C", "1996ASPC..101...17A", "1996uxsa.conf..411K", "2000ApJ...542..914W", "2002ApJ...573L..13L", "2004A&A...426..387S", "2004ApJ...616..178C", "2007PhR...443....1M", "2008A&A...482L..29W", "2009A&A...504...33V", "2009ApJ...705.1129L", "2009M&PSA..72.5154L", "2009PASJ...61.1117B", "2010ApJ...717..908Z", "2010ApJ...720.1066C", "2010ApJ...721L..82C", "2011PASJ...63S1009T", "2012ARA&A..50..353K", "2012ApJ...756..128F", "2013ApJ...773..114P", "2013MNRAS.435.3111Z", "2014ApJ...792...25N", "2014Natur.515...85Z", "2015ApJ...806..207U", "2015Natur.528..105E", "2016A&A...587A.151K", "2016A&A...594A.116H", "2016ApJ...827..112B", "2016Natur.535..117H", "2016PASJ...68S..19O", "2017ApJ...843...76A", "2017MNRAS.468.1917R", "2017MNRAS.471.2321D", "2018ApJ...853..180Z", "2018ApJ...865...53Z", "2018MNRAS.473.4077P", "2018MNRAS.481L.120V", "2019A&A...621A..40E", "2019ApJ...871..129S", "2019SSRv..215...24S", "2020A&A...633A..42S", "2020ApJ...897...57M", "2020MNRAS.495..864A", "2020SPIE11444E..22T", "2021A&A...647A...2R", "2021MNRAS.505.4338S", "2022A&A...657L...1E", "2022A&A...666A..41E", "2022ApJ...934..169U", "2022ApJ...935L..23S", "2022MNRAS.511.4511G", "2022MNRAS.513.1932G", "2022SPIE12181E..1SI", "2023A&A...673A..91D", "2023A&A...674A..48W", "2023ApJ...944..132S", "2023MNRAS.518.4238G", "2023MNRAS.522.2325G", "2024A&A...682A..45L", "2024A&A...686A.157N", "2024A&A...686A.200T", "2024A&A...687A..58D", "2024MNRAS.528.7274H", "2024MNRAS.531..259P", "2024PASJ...76.1186X", "2024SPIE13093E..1KP", "2024SPIE13093E..1PE" ]
32552522
2501.05517
The two-dimensional pressure structure of the HD 163296 protoplanetary disk as probed by multi-molecule kinematics
[Abridged] Gas kinematics is a new and unique way to study planet-forming environments by an accurate characterization of disk velocity fields. High angular resolution ALMA observations allow deep kinematical analysis of disks, by observing molecular line emission at high spectral resolution. In particular, rotation curves are key tools for studying the disk pressure structure and estimating fundamental disk parameters, such as mass and radius. In this work, we explore the potential of a multi-molecule approach to gas kinematics to provide a 2D characterization of the HD 163296 disk. From the high quality data of the MAPS Large Program we extracted the rotation curves of rotational lines from seven distinct molecular species, spanning a wide radial and vertical range. To obtain reliable rotation curves for hyperfine lines, we extended standard methodologies to fit multi-component line profiles. We then sampled the likelihood of a thermally stratified model that reproduces all the rotation curves simultaneously, taking into account the molecular emitting layers and disk thermal structure. We obtained dynamical estimates of the stellar mass $M_\star=1.89$ M$_\odot$, the disk mass $M_\text{d}=0.12$ M$_\odot$, and scale radius $R_\text{c}=143$ au. We also explore how rotation curves and the parameter estimates depend on the adopted emitting layers: the disk mass proves to be the most affected by these systematics, yet the main trends we find do not depend on the adopted parameterization. Finally, we investigated the impact of thermal structure on gas kinematics, showing that the thermal stratification can efficiently explain the measured rotation velocity discrepancies between tracers at different heights. Our results show that such a multi-molecule approach, tracing a large range of emission layers, can provide unique constraints on the ($R,z$) pressure structure of protoplanetary disks.
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9.774621
12.842422
2025-01-02
0
2025arXiv250105517P
[ "disk thermal structure", "rotation curves", "reliable rotation curves", "fundamental disk parameters", "disk velocity fields", "molecular line emission", "multi-component line profiles", "protoplanetary disks", "disks", "thermal structure" ]
[ "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Solar and Stellar Astrophysics" ]
352
[ "10.48550/arXiv.2501.05517" ]
[ "Pezzotta, V.", "Facchini, S.", "Longarini, C.", "Lodato, G.", "Martire, P." ]
[ "-", "-", "-", "-", "-" ]
null
[ "1970hmfw.book.....A", "1974MNRAS.168..603L", "1981ApJ...251L.119S", "1999A&A...350..694B", "2000A&A...357L..65M", "2001A&A...377..566V", "2002A&A...386..622A", "2002ZNatA..57..669A", "2003A&A...399..773D", "2004A&A...425..955T", "2008ApJ...673L.195S", "2013A&A...557A.133D", "2013ChRv..113.9016H", "2013PASP..125..306F", "2014A&A...567A.117G", "2014prpl.conf..317D", "2016PhRvL.117y1101I", "2017ApJ...844..158S", "2018A&A...609A..47P", "2018A&A...616A.100Y", "2018ApJ...853..113W", "2018ApJ...860L..12T", "2018ApJ...860L..13P", "2018ApJ...868..113T", "2018ApJ...869L..41A", "2018ApJ...869L..49I", "2019A&A...625A.118K", "2019ApJ...875...38R", "2019ApJ...876...25B", "2019ApJ...883L..41C", "2019JOSS....4.1220T", "2019JOSS....4.1632T", "2019Natur.574..378T", "2020A&A...633A.137D", "2020ApJ...890..142P", "2021A&A...650A.179I", "2021AJ....162...99F", "2021ApJ...908...46B", "2021ApJ...914L..27V", "2021ApJS..257....1O", "2021ApJS..257....3L", "2021ApJS..257....4L", "2021ApJS..257....5Z", "2021ApJS..257....6G", "2021ApJS..257...11B", "2021ApJS..257...18T", "2022ApJ...928....2I", "2023A&A...669A.126P", "2023A&A...674A.113I", "2023ARA&A..61..287O", "2023ApJ...948...60L", "2023MNRAS.518.4481L", "2024A&A...686A...9M", "2024A&A...688A.136V", "2024ApJ...964..190L", "2024ApJ...970..153A" ]
32552533
2501.05518
A multi-frequency study of sub-parsec jets with the Event Horizon Telescope
The 2017 observing campaign of the Event Horizon Telescope (EHT) delivered the first very long baseline interferometry (VLBI) images at the observing frequency of 230 GHz, leading to a number of unique studies on black holes and relativistic jets from active galactic nuclei (AGN). In total, eighteen sources were observed: the main science targets, Sgr A* and M87 along with various calibrators. We investigated the morphology of the sixteen AGN in the EHT 2017 data set, focusing on the properties of the VLBI cores: size, flux density, and brightness temperature. We studied their dependence on the observing frequency in order to compare it with the Blandford-Königl (BK) jet model. We modeled the source structure of seven AGN in the EHT 2017 data set using linearly polarized circular Gaussian components and collected results for the other nine AGN from dedicated EHT publications, complemented by lower frequency data in the 2-86 GHz range. Then, we studied the dependences of the VLBI core flux density, size, and brightness temperature on the frequency measured in the AGN host frame. We compared the observations with the BK jet model and estimated the magnetic field strength dependence on the distance from the central black hole. Our results indicate a deviation from the standard BK model, particularly in the decrease of the brightness temperature with the observing frequency. Either bulk acceleration of the jet material, energy transfer from the magnetic field to the particles, or both are required to explain the observations.
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8.859596
3.75763
2025-01-02
0
2025arXiv250105518R
[ "dedicated EHT publications", "EHT", "relativistic jets", "lower frequency data", "brightness temperature", "AGN", "black holes", "flux density", "VLBI", "Sgr A" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
536
[ "10.48550/arXiv.2501.05518" ]
[ "Röder, Jan", "Wielgus, Maciek", "Lobanov, Andrei P.", "Krichbaum, Thomas P.", "Nair, Dhanya G.", "Lee, Sang-Sung", "Ros, Eduardo", "Fish, Vincent L.", "Blackburn, Lindy", "Chan, Chi-kwan", "Issaoun, Sara", "Janssen, Michael", "Johnson, Michael D.", "Doeleman, Sheperd S.", "Bower, Geoffrey C.", "Crew, Geoffrey B.", "Tilanus, Remo P. J.", "Savolainen, Tuomas", "Impellizzeri, C. M. Violette", "Alberdi, Antxon", "Baczko, Anne-Kathrin", "Gómez, José L.", "Lu, Ru-Sen", "Paraschos, Georgios F.", "Traianou, Efthalia", "Goddi, Ciriaco", "Kim, Daewon", "Lisakov, Mikhail", "Kovalev, Yuri Y.", "Voitsik, Petr A.", "Sokolovsky, Kirill V.", "Akiyama, Kazunori", "Albentosa-Ruíz, Ezequiel", "Alef, Walter", "Algaba, Juan Carlos", "Anantua, Richard", "Asada, Keiichi", "Azulay, Rebecca", "Bach, Uwe", "Ball, David", "Baloković, Mislav", "Bandyopadhyay, Bidisha", "Barrett, John", "Bauböck, Michi", "Benson, Bradford A.", "Bintley, Dan", "Blundell, Raymond", "Bouman, Katherine L.", "Bremer, Michael", "Brinkerink, Christiaan D.", "Brissenden, Roger", "Britzen, Silke", "Broderick, Avery E.", "Broguiere, Dominique", "Bronzwaer, Thomas", "Bustamante, Sandra", "Byun, Do-Young", "Carlstrom, John E.", "Ceccobello, Chiara", "Chael, Andrew", "Chang, Dominic O.", "Chatterjee, Koushik", "Chatterjee, Shami", "Chen, Ming-Tang", "Chen, Yongjun", "Cheng, Xiaopeng", "Cho, Ilje", "Christian, Pierre", "Conroy, Nicholas S.", "Conway, John E.", "Cordes, James M.", "Crawford, Thomas M.", "Cruz-Osorio, Alejandro", "Cui, Yuzhu", "Curd, Brandon", "Dahale, Rohan", "Davelaar, Jordy", "De Laurentis, Mariafelicia", "Deane, Roger", "Dempsey, Jessica", "Desvignes, Gregory", "Dexter, Jason", "Dhruv, Vedant", "Dihingia, Indu K.", "Dougall, Sean Taylor", "Dzib, Sergio A.", "Eatough, Ralph P.", "Emami, Razieh", "Falcke, Heino", "Farah, Joseph", "Fomalont, Edward", "Ford, H. Alyson", "Foschi, Marianna", "Fraga-Encinas, Raquel", "Freeman, William T.", "Friberg, Per", "Fromm, Christian M.", "Fuentes, Antonio", "Galison, Peter", "Gammie, Charles F.", "García, Roberto", "Gentaz, Olivier", "Georgiev, Boris", "Gold, Roman", "Gómez-Ruiz, Arturo I.", "Gu, Minfeng", "Gurwell, Mark", "Hada, Kazuhiro", "Haggard, Daryl", "Haworth, Kari", "Hecht, Michael H.", "Hesper, Ronald", "Heumann, Dirk", "Ho, Luis C.", "Ho, Paul", "Honma, Mareki", "Huang, Chih-Wei L.", "Huang, Lei", "Hughes, David H.", "Ikeda, Shiro", "Inoue, Makoto", "James, David J.", "Jannuzi, Buell T.", "Jeter, Britton", "Jiang, Wu", "Jiménez-Rosales, Alejandra", "Jorstad, Svetlana", "Joshi, Abhishek V.", "Jung, Taehyun", "Karami, Mansour", "Karuppusamy, Ramesh", "Kawashima, Tomohisa", "Keating, Garrett K.", "Kettenis, Mark", "Kim, Dong-Jin", "Kim, Jae-Young", "Kim, Jongsoo", "Kim, Junhan", "Kino, Motoki", "Koay, Jun Yi", "Kocherlakota, Prashant", "Kofuji, Yutaro", "Koyama, Shoko", "Kramer, Carsten", "Kramer, Joana A.", "Kramer, Michael", "Kuo, Cheng-Yu", "La Bella, Noemi", "Lauer, Tod R.", "Lee, Daeyoung", "Leung, Po Kin", "Levis, Aviad", "Li, Zhiyuan", "Lico, Rocco", "Lindahl, Greg", "Lindqvist, Michael", "Liu, Jun", "Liu, Kuo", "Liuzzo, Elisabetta", "Lo, Wen-Ping", "Loinard, Laurent", "Lonsdale, Colin J.", "Lowitz, Amy E.", "MacDonald, Nicholas R.", "Mao, Jirong", "Marchili, Nicola", "Markoff, Sera", "Marrone, Daniel P.", "Marscher, Alan P.", "Martí-Vidal, Iván", "Matsushita, Satoki", "Matthews, Lynn D.", "Medeiros, Lia", "Menten, Karl M.", "Michalik, Daniel", "Mizuno, Izumi", "Mizuno, Yosuke", "Moran, James M.", "Moriyama, Kotaro", "Moscibrodzka, Monika", "Mulaudzi, Wanga", "Müller, Cornelia", "Müller, Hendrik", "Mus, Alejandro", "Musoke, Gibwa", "Myserlis, Ioannis", "Nadolski, Andrew", "Nagai, Hiroshi", "Nagar, Neil M.", "Nakamura, Masanori", "Narayanan, Gopal", "Natarajan, Iniyan", "Nathanail, Antonios", "Navarro Fuentes, Santiago", "Neilsen, Joey", "Neri, Roberto", "Ni, Chunchong", "Noutsos, Aristeidis", "Nowak, Michael A.", "Oh, Junghwan", "Okino, Hiroki", "Olivares Sánchez, Héctor R.", "Ortiz-León, Gisela N.", "Oyama, Tomoaki", "özel, Feryal", "Palumbo, Daniel C. M.", "Park, Jongho", "Parsons, Harriet", "Patel, Nimesh", "Pen, Ue-Li", "Pesce, Dominic W.", "Piétu, Vincent", "Plambeck, Richard", "PopStefanija, Aleksandar", "Porth, Oliver", "Pötzl, Felix M.", "Prather, Ben", "Preciado-López, Jorge A.", "Principe, Giacomo", "Psaltis, Dimitrios", "Pu, Hung-Yi", "Ramakrishnan, Venkatessh", "Rao, Ramprasad", "Rawlings, Mark G.", "Ricarte, Angelo", "Ripperda, Bart", "Roelofs, Freek", "Rogers, Alan", "Romero-Cañizales, Cristina", "Roshanineshat, Arash", "Rottmann, Helge", "Roy, Alan L.", "Ruiz, Ignacio", "Ruszczyk, Chet", "Rygl, Kazi L. J.", "Sánchez, Salvador", "Sánchez-Argüelles, David", "Sánchez-Portal, Miguel", "Sasada, Mahito", "Satapathy, Kaushik", "Schloerb, F. Peter", "Schonfeld, Jonathan", "Schuster, Karl-Friedrich", "Shao, Lijing", "Shen, Zhiqiang", "Small, Des", "Sohn, Bong Won", "SooHoo, Jason", "Sosapanta Salas, León David", "Souccar, Kamal", "Stanway, Joshua S.", "Sun, He", "Tazaki, Fumie", "Tetarenko, Alexandra J.", "Tiede, Paul", "Titus, Michael", "Torne, Pablo", "Toscano, Teresa", "Trent, Tyler", "Trippe, Sascha", "Turk, Matthew", "van Bemmel, Ilse", "van Langevelde, Huib J.", "van Rossum, Daniel R.", "Vos, Jesse", "Wagner, Jan", "Ward-Thompson, Derek", "Wardle, John", "Washington, Jasmin E.", "Weintroub, Jonathan", "Wharton, Robert", "Wiik, Kaj", "Witzel, Gunther", "Wondrak, Michael F.", "Wong, George N.", "Wu, Qingwen", "Yadlapalli, Nitika", "Yamaguchi, Paul", "Yfantis, Aristomenis", "Yoon, Doosoo", "Young, André", "Young, Ken", "Younsi, Ziri", "Yu, Wei", "Yuan, Feng", "Yuan, Ye-Fei", "Zensus, J. Anton", "Zhang, Shuo", "Zhao, Guang-Yao", "Zhao, Shan-Shan" ]
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null
[ "1969ApJ...155L..71K", "1970ranp.book.....P", "1977MNRAS.179..433B", "1979ApJ...232...34B", "1981ApJ...243..700K", "1982MNRAS.199..883B", "1983ApJ...264..296M", "1989ApJ...340..162M", "1993ApJ...403...94F", "1993ApJ...407...65G", "1994ApJ...426...51R", "1995PNAS...9211439M", "1996MNRAS.280..781S", "1997mvlb.work...53B", "1998A&A...330...79L", "1998A&AS..131..451R", "1998AJ....116....8L", "1999ApJ...511..112L", "2000A&A...364..391L", "2000A&AS..143....9W", "2000ApJ...535..104H", "2002ApJ...579..530W", "2004ApJ...605..656V", "2004ApJ...609..539K", "2005AJ....130.1389L", "2005AJ....130.2473K", "2006ApJ...642L.115H", "2007ARA&A..45..565M", "2007ApJ...658..203H", "2007ApJ...658..232C", "2008AJ....136..159L", "2008ApJ...681..897H", "2008ApJS..175..314D", "2009A&A...494..527H", "2009A&A...498..723H", "2009AJ....138.1874L", "2009ApJ...703L.109S", "2010PASA...27..449N", "2011A&A...530L..11M", "2012A&A...544A..34P", "2012A&A...545A.113P", "2012ApJ...745L..28A", "2012RMxAA..48....9T", "2013ARep...57..153K", "2014A&A...566A..59A", "2014JKAS...47..303L", "2015A&A...574A..84L", "2015A&ARv..24....4B", "2015ApJ...805..180J", "2016A&A...594A..13P", "2016ApJ...817..131H", "2016ApJ...820L...9K", "2016ApJ...820L..10J", "2016ApJ...826..135L", "2016ApJ...829...11C", "2016ApJS..227....8L", "2016era..book.....C", "2017A&ARv..25....4B", "2017ApJ...846...98J", "2017MNRAS.466.4625L", "2017MNRAS.468.4992P", "2017MNRAS.472.1792G", "2018A&A...612A..67G", "2018ApJ...860..141H", "2018ApJ...862...58M", "2018ApJS..234...12L", "2018PASP..130a5002M", "2019A&A...622A..92N", "2019A&A...626A..75J", "2019ARA&A..57..467B", "2019ApJ...875L...1E", "2019ApJ...875L...2E", "2019ApJ...875L...3E", "2019ApJ...875L...4E", "2019ApJ...875L...5E", "2019ApJ...875L...6E", "2019ApJ...882...23B", "2019PASP..131g5003G", "2019PhDT........57N", "2019PhDT.......127K", "2020A&A...640A..69K", "2020AdSpR..65..705K", "2020ApJ...901...67W", "2020ApJS..247...57C", "2021A&A...649A.153C", "2021A&A...656A.143K", "2021ApJ...910L..12E", "2021ApJ...910L..13E", "2021ApJ...910L..14G", "2021ApJ...923...30L", "2021ApJ...923...67H", "2021NatAs...5.1017J", "2022A&A...660A.107F", "2022A&A...664A.166R", "2022ApJ...930L..12E", "2022ApJ...930L..13E", "2022ApJ...930L..14E", "2022ApJ...930L..15E", "2022ApJ...930L..16E", "2022ApJ...930L..17E", "2022ApJ...934..145I", "2022ApJ...940...65O", "2022ApJS..260...12W", "2022NatAs...6..103C", "2023A&A...671A.143R", "2023AJ....165..139D", "2023ApJ...943..170J", "2023ApJ...957L..20E", "2023ApJ...957L..21R", "2023MNRAS.522L..84K", "2024A&A...682L...3P", "2024A&A...692A.205B", "2024ApJ...964L..25E", "2024ApJ...964L..26E" ]
32552523
2501.05519
The MeerKAT Fornax Survey IV. A close look at the cluster physics through the densest rotation measure grid
Using the Square Kilometre Array (SKA) mid precursor MeerKAT, we acquired broadband spectro-polarimetric data in the context of the MeerKAT Fornax Survey to study the Fornax cluster's magnetic fields in detail by building the densest rotation measure (RM) grid to date. Here, we present the survey, the analysis, and a discussion of the RM grid properties. We analyzed a circular region centered on the Fornax cluster center with a radius of $\sim1.4^\circ$; that is, $\rm\sim 0.73 R_{vir}$. The mosaics have a resolution of 13arcsec and cover the frequencies between 900\,MHz and 1.4\,GHz, reaching an average noise of 16$\mu$Jy beam$^{-1}$ in total intensity and 3$\mu$Jy beam$^{-1}$ in the Q and U Stokes images. With these data, we detected 508 polarized sources over an area of $\sim$6.35 deg$^2$ corresponding to a density of $\sim$80 polarized sources/deg$^2$. This is the densest RM grid ever built. Of the polarized sources, five are cluster sources. Excluding the cluster sources, we built the Euclidean-normalized differential source counts in polarization and we went a factor of ten deeper than previous surveys. We tentatively detect for the first time an increment in the differential source counts at low polarized flux densities; that is, $\sim$9\,$\mu$Jy at 1.4\,GHz. The average degree of polarization of about 3--4\% suggests that the sub$-\mu$Jansky population is not dominated by star-forming galaxies, typically showing a degree of polarization lower than 1\%. The majority of the polarized sources are Faraday simple; in other words, their polarization plane rotates linearly with the wavelength squared. The RM shows the typical decrement going from the center to the outskirts of the Fornax cluster. However, interesting features are observed both in the RM grid and in the RM radial profiles across different directions. A combination of the ...
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14.940676
4.517318
2025-01-02
0
2025arXiv250105519L
[ "cluster sources", "RM", "polarization", "mid precursor MeerKAT", "Fornax", "the densest RM grid", "$\\sim$80 polarized sources", "the Fornax cluster center", "the cluster sources", "other words" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
590
[ "10.48550/arXiv.2501.05519" ]
[ "Loi, Francesca", "Serra, Paolo", "Murgia, Matteo", "Govoni, Federica", "Vacca, Valentina", "Maccagni, Filippo", "Kleiner, Dane", "Kamphuis, Peter" ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1951PhRv...84..161R", "1966MNRAS.133...67B", "1988ApJ...325..180K", "1988ApJ...327..544D", "2001ApJ...546..681T", "2001ApJ...548L.139D", "2001ApJ...550..503J", "2001MNRAS.327.1004B", "2002A&A...391...83B", "2004A&A...424..429M", "2005A&A...440..775K", "2005A&A...441.1217B", "2005ApJ...621..663M", "2005ApJ...633..154S", "2005MNRAS.358..726D", "2006A&A...460..425G", "2007A&A...466..805C", "2008A&A...483..699G", "2008MNRAS.391..521L", "2009ApJ...693.1392S", "2010A&A...513A..30B", "2010A&A...514A..50G", "2012A&A...539A..95O", "2012A&A...540A..38V", "2012PASA...29..214G", "2014ASInC..13...99T", "2014ApJ...785...45R", "2014ApJ...787...99S", "2014MNRAS.440.3113H", "2014MNRAS.444..606O", "2015MNRAS.448.1922S", "2016ApJ...820...42I", "2016PASA...33...42M", "2017A&A...603A.122G", "2017ApJ...851...69S", "2017ApJS..230....7P", "2017MNRAS.470.2845R", "2017MNRAS.471..301O", "2018A&A...616A.121S", "2018A&A...620A.165V", "2018ApJ...865..118S", "2018MNRAS.478.2399K", "2018ascl.soft06024M", "2019A&A...622A..16O", "2019A&A...622A..89V", "2019A&A...627A.136I", "2019MNRAS.482....2B", "2019MNRAS.483.2251Z", "2019MNRAS.490.1666M", "2019SSRv..215...16V", "2019Sci...364..981G", "2020A&A...636L...1R", "2020A&A...644L...3B", "2020ASPC..527..635J", "2020ApJ...888...61M", "2020ApJ...897...93B", "2020Galax...8...53H", "2020MNRAS.495.2607O", "2020MNRAS.499L..11B", "2020ascl.soft05003P", "2021A&A...653A.155B", "2021Galax...9...85R", "2021MNRAS.502.2518S", "2021PASA...38....9H", "2021PASA...38...20A", "2022A&A...657A..43H", "2022MNRAS.512..945C", "2022MNRAS.514.4969V", "2022MNRAS.515.1871R", "2023A&A...672A..28L", "2023A&A...673A.146S", "2023A&A...675A.108K", "2023MNRAS.518.2273C", "2023MNRAS.522.1464R", "2023MNRAS.523.1140L", "2023PASA...40...40T", "2024A&A...687A.267P", "2024A&A...690A..92R", "2024A&A...691A.334V", "2024AJ....167..226V", "2024MNRAS.528.2511T", "2024arXiv240606166R" ]
32552535
2501.05521
The $\texttt{MSG}$ model for cloudy substellar atmospheres: A grid of self-consistent substellar atmosphere models with microphysical cloud formation
State-of-the-art JWST observations are unveiling unprecedented views into the atmospheres of substellar objects in the infrared, further highlighting the importance of clouds. Current forward models struggle to fit the silicate clouds absorption feature at ~$10\,\mu$m observed in substellar atmospheres. In the MSG model, we aim to couple the MARCS 1D radiative-convective equilibrium atmosphere model with the 1D kinetic, stationary, non-equilibrium, cloud formation model DRIFT, to create a new grid of self-consistent cloudy substellar atmosphere models with microphysical cloud formation. We aim to test if this new grid is able to reproduce the silicate cloud absorption feature at ~$10\,\mu$m. We model substellar atmospheres with effective temperatures in the range 1200-2500 K and with $\log(g)=4.0$. We compute atmospheric structures that self-consistently account for condensate cloud opacities based on microphysical properties. We present an algorithm based on control theory to help converge such self-consistent models. Synthetic atmosphere spectra are computed for each model to explore the observable impact of the cloud microphysics. We additionally explore the impact of choosing different nucleation species (TiO$_2$ or SiO) and the effect of less efficient atmospheric mixing on these spectra. The new MSG cloudy grid using TiO$_2$ nucleation shows spectra which are redder in the near-infrared compared to the currently known population of substellar atmospheres. We find the models with SiO nucleation, and models with reduced mixing efficiency are less red in the near-infrared. The grid is unable to reproduce the silicate features similar to those found in recent JWST observations and Spitzer archival data. We thoroughly discuss further work that may better approximate the impact of convection in cloud-forming regions and steps that may help resolve the silicate cloud feature.
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7.14827
14.442285
2025-01-02
0
2025arXiv250105521C
[ "substellar atmospheres", "models", "Current forward models", "Synthetic atmosphere spectra", "self-consistent cloudy substellar atmosphere models", "microphysical cloud formation", "condensate cloud opacities", "$ nucleation shows spectra", "substellar objects", "different nucleation species" ]
[ "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Solar and Stellar Astrophysics" ]
321
[ "10.48550/arXiv.2501.05521" ]
[ "Campos Estrada, Beatriz", "Lewis, David A.", "Helling, Christiane", "Booth, Richard A.", "Ardévol Martínez, Francisco", "Jørgensen, Uffe G." ]
[ "-", "-", "-", "-", "-", "-" ]
null
[ "1908AnP...330..377M", "1935AnP...416..636B", "1961ApJS....6..167K", "1962ApJ...136..690D", "1964ApJ...139..192S", "1964CR....258.3189F", "1965ApJ...141..811S", "1965ApJS...11..184M", "1965Phy....31..401L", "1966MNRAS.132..255D", "1966MNRAS.132..267D", "1967ApJ...149..449J", "1968ApJ...153..987D", "1970MNRAS.149...65A", "1970MmRAS..73....1P", "1971JQSRT..11..589R", "1972A&A....19..261G", "1973ApJ...185..621C", "1974A&A....32..407N", "1975A&A....42..407G", "1978Icar...36....1R", "1979JAtS...36..718T", "1983asls.book.....B", "1984A&A...133..320G", "1985hocs.book.....P", "1986ApJ...310..238L", "1986ApJS...62..373L", "1988A&A...206..153G", "1990ApJS...72..417S", "1991hocs.book.....P", "1992A&A...261..263J", "1992RMxAA..23..195J", "1993A&A...277..578D", "1994ApJ...421..615P", "1995A&A...296..217B", "1995A&AS..112..143H", "1995Icar..114..203K", "1996Sci...272.1919M", "1997A&A...327..743H", "1997ApJ...476..199B", "1997ApJ...491..856B", "1998JPCM...10.3669U", "1999JCoAM.109...41H", "2000A&A...361..283J", "2000ApJ...542..464C", "2000JPhB...33.3417J", "2001ApJ...556..357A", "2001ApJ...556..872A", "2002A&A...395...99L", "2002A&A...395..915A", "2002ApJ...568..335M", "2002ApJ...571L.151B", "2002ApJ...575..264T", "2002ApJ...580..447R", "2003A&A...399..297W", "2003A&A...400..709D", "2003A&A...408..193J", "2003ApJ...586.1320C", "2003ApJS..149..437P", "2004A&A...413L..35M", "2004A&A...414..335W", "2004CoPhC.162..113W", "2005ARA&A..43..195K", "2005ApJ...623.1115C", "2005ApJ...624..988B", "2006A&A...455..325H", "2006ApJ...640.1063B", "2006ApJ...648..614C", "2006ApJ...649.1178N", "2007A&A...472.1041D", "2008A&A...485..547H", "2008A&A...486..951G", "2008ApJ...675L.105H", "2008ApJ...678.1372C", "2008ApJ...689.1327S", "2008ApJS..174..504F", "2008MNRAS.391.1854H", "2009A&A...506.1367W", "2009ApJ...702..154S", "2010A&A...523A..58W", "2011A&A...526A..68Z", "2011A&A...529A..44W", "2011MNRAS.415..487C", "2012RSPTA.370.2765A", "2013A&A...555A.119G", "2013ApJ...768..121A", "2013MNRAS.432.2043G", "2013RSPTA.37110581H", "2014A&A...571A..47M", "2014ApJS..210...23B", "2014ApJS..214...25F", "2014JChPh.141e4310B", "2014MNRAS.437.1828B", "2014MNRAS.442.1821B", "2015A&A...580A..12L", "2015ApJ...799..154M", "2015ApJ...804L..17T", "2015ApJ...810..158F", "2015ApJS..216...15L", "2015JChPh.143b6101B", "2015JPCA..119.8944L", "2015MNRAS.448.1704A", "2015MNRAS.449.3613P", "2015MNRAS.451..634R", "2015MNRAS.454.1931P", "2016A&A...593A..79S", "2016A&A...594A..48L", "2016ApJ...817L..19T", "2016JQSRT.168..142B", "2016MNRAS.459.3890U", "2016MNRAS.463..771M", "2016PCCP...1826913B", "2017A&A...605A..95Y", "2017A&A...608A..70J", "2017ApJ...835..261O", "2018A&A...614A...1W", "2018A&A...614A.126L", "2018ApJ...853....7K", "2018ApJ...854..172C", "2018ApJ...855...86G", "2018ApJ...860...18P", "2018ApJ...863..165G", "2018ApJS..235....8B", "2018ApJS..237....8Y", "2018JQSRT.217...29F", "2018JQSRT.217..416Y", "2018MNRAS.473.5324Y", "2018MNRAS.475...94K", "2018MNRAS.477.1520U", "2018MNRAS.478..270Y", "2018MNRAS.479.1401Y", "2018MNRAS.480.2597P", "2018MNRAS.480.3397Y", "2018Natur.557..526N", "2019A&A...622A.121O", "2019A&A...626A.133H", "2019A&A...628A.120A", "2019A&A...631A..79H", "2019AJ....157..170M", "2019AREPS..47..583H", "2019ApJ...874..111T", "2019ApJ...876..144T", "2019JQSRT.232...35H", "2019MNRAS.483..480V", "2019MNRAS.488.2836M", "2019MNRAS.490.1652G", "2019MNRAS.490.4638C", "2020A&A...640A.131M", "2020A&A...641A.178H", "2020MNRAS.496.5282Y", "2021A&A...646A..21C", "2021A&A...649A..44H", "2021ApJ...917...37A", "2021ApJ...920..146L", "2021MNRAS.506.1944B", "2022A&A...658A.147G", "2022A&A...658A.167G", "2022A&A...668A..35S", "2022ApJ...924...68V", "2022ApJ...936L..14P", "2022MNRAS.510..903Y", "2022MNRAS.511.5448O", "2022MNRAS.513.5701S", "2022RNAAS...6..248M", "2023A&A...669A.142S", "2023A&A...671A.122H", "2023ApJ...942...71M", "2023ApJ...944..138V", "2023ApJ...946L...6M", "2023ApJ...956L..32G", "2023MNRAS.524..817T", "2023MNRAS.524..835R", "2024A&A...688A.116D", "2024A&A...690A..34L", "2024A&A...690A.127J", "2024ApJ...963...73M", "2024ApJ...966L..11P", "2024ApJ...975...59M", "2024MNRAS.527.6624L", "2024MNRAS.532.2207B", "2024Natur.625...51D" ]
32552529
2501.05531
Primordial Black Hole Hot Spots and Nucleosynthesis
Upon their evaporation via Hawking radiation, primordial black holes (PBHs) may deposit energy in the ambient plasma on scales smaller than the typical distance between two black holes, leading to the formation of hot spots around them. We investigate how the corresponding rise of the local temperature during the evaporation may act as a shield against the release of low-energy photons, affecting PBH's capacity to dissociate light nuclei after Big-Bang Nucleosynthesis through photo-dissociation. We study the different ways PBH hot spots affect the flux of low-energy photons expected from PBH evaporation, and we find that such effects can be particularly relevant to the physics of photo-dissociation during Big-Bang Nucleosynthesis for PBHs with masses between $10^{11}$g and $3\times 10^{12}$g. We emphasize that the magnitude of this effect is highly dependent on the specific shape of the temperature profile around PBHs and its time evolution. This underscores the necessity for a comprehensive study of PBH hot spots and their dynamics in the future.
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9.340898
-0.542536
2025-01-02
1
2025arXiv250105531A
[ "PBH hot spots", "PBH evaporation", "hot spots", "primordial black holes", "PBH", "such effects", "PBHs", "energy", "light nuclei", "low-energy photons" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "High Energy Physics - Phenomenology" ]
435
[ "10.48550/arXiv.2501.05531" ]
[ "Altomonte, Clelia", "Fairbairn, Malcolm", "Heurtier, Lucien" ]
[ "-", "-", "-" ]
[ "2025arXiv250111925K" ]
[ "1975ApJ...201....1C", "1975CMaPh..43..199H", "1976CMaPh..46..206H", "1981PThPh..66.2052K", "1982Natur.298..538C", "1982PThPh..68.1979K", "1982PhLB..108...98M", "1982PhLB..108..103S", "1982PhRvD..26.2681H", "1989PhLB..231..237H", "1990PhLB..251..343H", "1990PhRvD..41.3052M", "1990acr..book.....B", "1991PhRvD..43.1106P", "1991PhRvD..44..376M", "1993PhLB..311...41F", "1993PhRvD..47.4244D", "1993PhRvD..48..543C", "1993PhRvD..48.2502G", "1994PhRvD..50..676M", "1994PhRvD..50.7173I", "1995ApJ...452..506K", "1995PhRvD..51.4134P", "1996PhRvD..53.3002C", "1996RPPh...59.1493S", "1998PhRvD..57.2158M", "1998hep.ph....7343K", "1999PhRvD..61b3501K", "2000hep.ph....5271R", "2009NJPh...11j5028J", "2009NuPhB.807..229D", "2010PhRvD..81e3007K", "2010PhRvD..81j4019C", "2013PhRvD..88d1301P", "2014MNRAS.445..778I", "2015MNRAS.454.4182C", "2015PhRvD..91j3007P", "2016JCAP...02..064G", "2016PhRvD..94d4029C", "2017JCAP...04..050D", "2017JCAP...12..044D", "2017PhRvD..95d3534A", "2017PhRvD..95h3006C", "2017arXiv170603868V", "2018CQGra..35f3001S", "2019EPJC...79..693A", "2019JCAP...10..077C", "2019JHEP...01..074F", "2019PhRvL.122d1104B", "2019PhRvL.122j1301F", "2019PhRvL.123y1101L", "2019PhRvL.123y1102D", "2019arXiv190706485P", "2020ARNPS..70..355C", "2020JCAP...01..024M", "2020JCAP...05..003M", "2020JCAP...11..060K", "2020MNRAS.497.1212C", "2020PhRvD.101l3514L", "2020PhRvD.102j3512K", "2020PhRvL.125j1101D", "2020PhRvL.125r1304K", "2020arXiv200616249J", "2021EPJC...81..910A", "2021JCAP...08..063S", "2021JHEP...12..145D", "2021JPhG...48d3001G", "2021RPPh...84k6902C", "2021arXiv210105040B", "2021arXiv210502840G", "2021arXiv210507481B", "2021arXiv211000005B", "2022EPJP..137..768C", "2022JCAP...10..048K", "2022JCAP...10..068B", "2022JHEP...10..116M", "2022MNRAS.515.5775A", "2022PhLB..82436791K", "2022PhRvD.105a5022C", "2022PhRvD.105b1303L", "2022PhRvD.106j3012C", "2022arXiv221105767E", "2023JCAP...01..027H", "2023JCAP...02..031G", "2023JCAP...03..020H", "2023JCAP...06..055G", "2023JCAP...11..066C", "2023JHEP...01..063B", "2023PhLB..84538123C", "2023PhRvD.108a5005C", "2023PhRvD.108j3531K", "2023PrPNP.13104040A", "2024JCAP...10..080H", "2024PhLB..85638895H", "2024PhRvD.110d3514G", "2024arXiv240902173G", "2024arXiv240902175A" ]
32552571
2501.05560
A Bright Future? Prospects for Cosmological Tests of GR with Multimessenger Gravitational Wave Events
Further bright sirens - gravitational wave events with electromagnetic counterparts - are keenly awaited, but proving elusive. The exceptional event GW170817 had a profound impact on the landscape of viable cosmological extensions of General Relativity (GR); can we expect this kind of shift to be repeated in the next decade? In this work we will assess the potential constraints from bright sirens in the LIGO-Virgo-KAGRA O5 era and third generation detector era. We set up the statistical formalism for our constraints, and generate and analyse simulated data in the context of general scalar-tensor theories. We highlight the important role that gamma-ray burst detection has in breaking key parameter degeneracies. We find that the next ten bright sirens alone will not competitively constrain cosmological gravity, but that one year of third generation observations could confidently detect mild departures from GR, e.g. the Horndeski parameter $\alpha_{\rm M}\neq 0$ is detected at greater than $3\sigma$. This justifies investment in a broad range of methods for gravitational wave cosmology (dark sirens, bright sirens and cross-correlation with large-scale structure) to ensure tests of cosmological gravity advance in both the short-term and the long-term.
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8.236667
1.858655
2025-01-02
0
2025arXiv250105560C
[ "bright sirens", "cosmological gravity advance", "cosmological gravity", "dark sirens", "viable cosmological extensions", "gravitational wave cosmology", "third generation observations", "third generation detector era", "analyse simulated data", "key parameter degeneracies" ]
[ "General Relativity and Quantum Cosmology", "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
446
[ "10.48550/arXiv.2501.05560" ]
[ "Colangeli, Elena", "Leyde, Konstantin", "Baker, Tessa" ]
[ "-", "-", "-" ]
null
[ "2000PhRvD..62h3506R", "2005ApJ...629...15H" ]
32552567
2501.05569
Space-based Ultra-High Energy Cosmic-Ray Experiments
Space-based experiments, either orbiting the Earth or from scientific balloon altitudes, measure high-energy cosmic rays by measuring from above the atmosphere the optical and radio signals generated by extensive air showers (EAS). These experiments are designed to have a large field-of-view (FoV) for observing EAS which translates to monitoring the atmosphere over a large, $\sim 10^6$ km$^2$ area on the ground. Ultra-high energy cosmic rays (UHECRs, $E_{CR} > ~\sim 1$ EeV) are measured by using the isotropic near-UV air fluorescence signal to finely sample the EAS development and to efficiently use the atmosphere as a vast calorimeter. At UHE, these immense EAS particle cascades have sufficient charged particle content to generate the relatively dim fluorescence light that propagates to the space-based instrument. Additionally, the beamed Cherenkov light and geomagnetic radio emission from EAS arrive with $> ~\sim 10$ ns impulse and are measured at small angles away from the cosmic ray trajectories. In particular for optical Cherenkov measurements, the energy thresholds can be $> ~\sim 1$ PeV, i.e. for very-high energy cosmic rays (VHECRs). ... In this chapter, the nature of observing the UHECR-induced shower development from orbiting and balloon-borne experiments is detailed, both for missions that have been flown and those currently in development. This will be accomplished by discussing experimental performance in terms of measuring the UHECR spectrum, UHECR nuclear composition, and UHECR arrival direction. The ability for these experiments to also perform VHECR and VHE and UHE cosmic neutrino measurements will also be discussed.
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6.450657
0.037975
2025-01-02
0
2025arXiv250105569K
[ "Ultra-high energy cosmic rays", "UHE cosmic neutrino measurements", "optical Cherenkov measurements", "extensive air showers", "UHECR arrival direction", "high-energy cosmic rays", "sufficient charged particle content", "EAS", "geomagnetic radio emission", "scientific balloon altitudes" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
233
[ "10.48550/arXiv.2501.05569" ]
[ "Krizmanic, John F." ]
[ "-" ]
null
[ "1955ApJ...122..530R", "1964JChPh..41.3946D", "1967PhDT........28B", "1981ICRC....8..145B", "1983JPhG....9..323P", "1985NIMPA.240..410B", "1991SSRv...58....1M", "1996SPIE.2806..102T", "1998A&AS..127....1L", "1999ICRC....1..445M", "1999ICRC....2..388K", "2003A&A...407.1157H", "2003ICRC....2..639K", "2003JGRA..108.1430D", "2004APh....20..391S", "2004APh....21..163A", "2004NuPhS.136..433S", "2005APh....22..439B", "2006JASTP..68.2000S", "2006JGRA..11112307C", "2009APh....32...10A", "2010APh....33..221B", "2010NIMPA.613...29A", "2010NIMPA.620..227A", "2010PhRvD..81l3009A", "2010PhRvL.105o1101H", "2010arXiv1011.5004G", "2011ICRC....4..316K", "2012APh....35..325A", "2012NIMPA.676...54T", "2012NIMPA.689...87A", "2012SSRv..168...23P", "2013APh....44...76A", "2014NIMPA.763..320T", "2015ExA....40...19A", "2015arXiv150905995V", "2016PhRvD..94l3018N", "2016SPIE.9899E..0GG", "2017JCli...30.5419G", "2017NIMPA.846..106O", "2017NIMPA.866..150A", "2017SSRv..212.1687K", "2019EPJWC.21005001B", "2019EPJWC.21006001K", "2019EPJWC.21601009V", "2019ICRC...36..298I", "2019ICRC...36..482Y", "2019NIMPA.922..150M", "2019NIMPA.930..112A", "2019NIMPA.936..237O", "2019PhRvD..99f3011R", "2019PhRvD..99l2001G", "2019RemS...11.2449K", "2020Aeros...7..133C", "2020JCAP...03..033K", "2020NIMPA.95862164S", "2020PhRvD.101b3012A", "2020PhRvD.102l3013V", "2020PhRvL.125l1106A", "2020arXiv200805690A", "2020arXiv200811232R", "2021ApJS..253...36B", "2021JASTP.22005672K", "2021JCAP...06..007P", "2021JInst..16P8035A", "2021NIMPA.98564614K", "2021PhRvD.103d3017C", "2021PhRvD.104f3029C", "2021PhRvD.104h3002G", "2021PhRvL.126g1103G", "2022icrc.confE..27H", "2022icrc.confE.206O", "2022icrc.confE.214D", "2022icrc.confE.307B", "2022icrc.confE.328K", "2022icrc.confE.404E", "2022icrc.confE.405F" ]
32552569
2501.05571
Stellar X-ray variability and planetary evolution in the DS Tucanae system
We present an analysis of four Chandra observations of the 45 Myr old DS Tuc binary system. We observed X-ray variability of both stars on timescales from hours to months, including two strong X-ray flares from star A. The implied flaring rates are in agreement with past observations made with XMM-Newton, though these rates remain imprecise due to the relatively short total observation time. We find a clear, monotonic decline in the quiescent level of the star by a factor 1.8 across eight months, suggesting stellar variability that might be due to an activity cycle. If proven through future observations, DS Tuc A would be the youngest star for which a coronal activity cycle has been confirmed. The variation in our flux measurements across the four visits is also consistent with the scatter in empirical stellar X-ray relationships with Rossby number. In simulations of the possible evolution of the currently super-Neptune-sized planet DS Tuc Ab, we find a range of scenarios for the planet once it reaches a typical field age of 5 Gyr, from Neptune-size down to a completely stripped super-Earth. Improved constraints on the planet's mass in the future would significantly narrow these possibilities. We advocate for further Chandra observations to better constrain the variability of this important system.
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9.045569
12.344234
2025-01-02
0
2025arXiv250105571K
[ "X-ray variability", "empirical stellar X-ray relationships", "further Chandra observations", "past observations", "DS Tuc", "DS Tuc A", "future observations", "stellar variability", "star A.", "Tuc Ab" ]
[ "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Solar and Stellar Astrophysics" ]
277
[ "10.48550/arXiv.2501.05571" ]
[ "King, George W.", "Corrales, Lía R.", "Bourrier, Vincent", "Dos Santos, Leonardo A.", "Doyle, Lauren", "Lavie, Baptiste", "Ramsay, Gavin", "Wheatley, Peter J." ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1972ApJ...171..565S", "1979ApJ...228..939C", "1981Icar...48..150W", "1988ApJ...333..236K", "1996ASPC..101...17A", "1997ApJ...483..947G", "2000ApJ...533L.151C", "2000ApJ...542..914W", "2001A&A...365L..18S", "2001A&A...365L..27T", "2001ApJ...556L..91S", "2001ApJ...557..906R", "2003A&A...397..147P", "2003ApJ...598L.121L", "2005ApJ...622..653T", "2006A&A...460..695T", "2006SPIE.6270E..1VF", "2007A&A...472..329E", "2009ARA&A..47..481A", "2009ApJ...693...23M", "2011A&A...529A.136E", "2011ApJ...743...48W", "2011ApJS..192....3P", "2012A&A...543L...4L", "2012ApJ...761...59L", "2012MNRAS.422.2024J", "2012MNRAS.425.2931O", "2013A&A...558A..33A", "2013A&A...559A.119L", "2013ApJ...775..105O", "2013ApJ...776....2L", "2013ApJS..208....4P", "2014A&A...565L...1P", "2014MNRAS.439.3225L", "2015A&A...576A..42S", "2015A&A...581A..28P", "2015ApJS..220...15P", "2016ApJ...817..107O", "2016ApJ...821...93N", "2016ApJ...831..180C", "2016MNRAS.460.1300E", "2016MNRAS.463.1780L", "2016Natur.534..658D", "2016Natur.535..526W", "2017AJ....153...64M", "2017ApJ...834...17C", "2017ApJ...847...29O", "2017MNRAS.464.3281W", "2018A&A...619A.151K", "2018A&A...620A..55F", "2018AJ....155....4M", "2018ApJS..234...34P", "2018MNRAS.476..759G", "2018MNRAS.478.1193K", "2018MNRAS.479.2351W", "2019A&A...630A..81B", "2019ApJ...880L..17N", "2019ApJS..243...10P", "2019MNRAS.487...24G", "2020A&A...636A..49C", "2020AJ....160...33R", "2020AJ....160..239B", "2020ApJ...896...48M", "2020ApJ...901...14B", "2020AstL...46..177S", "2020MNRAS.493..559B", "2020MNRAS.493..792G", "2021A&A...649A..96J", "2021A&A...650A..66B", "2021A&A...655A..30C", "2021AJ....161..171T", "2021MNRAS.501L..28K", "2022A&A...661A..23F", "2022A&A...661A.148C", "2022A&A...663A.122C", "2022A&A...666A.198P", "2022AN....34310066C", "2022ApJ...936..109P", "2022MNRAS.512...41K", "2022MNRAS.513.4380I", "2023AJ....165...85W", "2023AdSpR..71.2048P", "2023ApJ...951...18M", "2023ApJ...951...44R", "2023ApJS..265...15J", "2023MNRAS.519.4056H", "2023MNRAS.519.5304L", "2023NatAs...7...57M", "2023RNAAS...7..203D", "2024ApJ...960...62E", "2024ApJ...961..130Z", "2024MNRAS.529.2716R", "2024MNRAS.530.3500K" ]
32552577
2501.05575
A New Approach for Constraining Large-Scale Temperature Fluctuations in the Intergalactic Medium
The reionization of helium is thought to occur at $2.5\lesssim z\lesssim4$, marking the last phase transition and final global heating event of the intergalactic medium (IGM). Since it is driven by rare quasars, helium reionization should give rise to strong temperature fluctuations in the IGM between neutral and recently-ionized regions of order $\sigma (\ln T) \sim \Delta T/T = 20-50\%$. We introduce a novel method to search for reionization-induced temperature fluctuations in the IGM by using the effective optical depths of the Lyman-$\alpha$ forest towards a large number of background quasars. Higher IGM temperatures give rise to lower effective optical depths in the Lyman-$\alpha$ forest, implying that temperature fluctuations will broaden the observed optical depth distribution. We measured the distributions of effective Lyman-$\alpha$ forest optical depths across $71$ X-Shooter spectra from the XQ-100 survey in four redshift bins from $z=3.76$ to $z=4.19$ and compared them to a large-volume cosmological hydrodynamical simulation. A good agreement is found between the observations and the simulation, which does not include temperature fluctuations; therefore, we do not detect a signature of helium reionization. We then post-process the simulations to include an increasing amount of temperature fluctuations until the model becomes inconsistent with the observations. We obtain tight constraints on $\sigma (\ln T) < 0.29 \ (<0.40)$ at $2 \sigma\ (3 \sigma)$ at $z=3.76$ when averaging over scales of $100$ comoving Mpc, and weaker constraints for higher redshifts and smaller scales. Our constraints are the tightest to date, and imply that either the IGM temperature contrast caused by helium reionization is less than $\sim30\%$, or that the process has not yet significantly started at $z=3.76$.
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13.716527
5.710115
2025-01-02
0
2025arXiv250105575E
[ "temperature fluctuations", "strong temperature fluctuations", "Higher IGM temperatures", "effective Lyman-$\\alpha$ forest optical depths", "helium reionization", "lower effective optical depths", "\\ln T", "reionization-induced temperature fluctuations", "IGM", "final global heating event" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
257
[ "10.48550/arXiv.2501.05575" ]
[ "Etezad-Razavi, Saba", "Bosman, Sarah E. I.", "Davies, Frederick B." ]
[ "-", "-", "-" ]
null
[ "1967ApJ...147..396L", "1991ApJ...371...36C", "1993AJ....106..417F", "1994ApJ...433L..53M", "1994MNRAS.266..343M", "1999ApJ...523...66A", "2000ApJ...530....1M", "2000eaa..bookE2141L", "2004AJ....128.2603Y", "2005ApJ...635..761M", "2005MNRAS.357.1178B", "2006ApJ...644...61L", "2006ApJS..163..110S", "2007ApJ...670...39L", "2008A&A...480..359D", "2008A&A...491..465D", "2008ApJ...682...14F", "2009ApJ...694..842M", "2009ApJ...704L..89M", "2011A&A...530A..50P", "2011A&A...536A.105V", "2011MNRAS.415..977M", "2012ApJ...746..125H", "2013AJ....145...10D", "2013ApJ...765...39A", "2013MNRAS.430.2067B", "2013MNRAS.435.3169C", "2014ApJ...792L..34P", "2014MNRAS.445.4186C", "2015ApJ...802L..19R", "2015ApJ...813L..38D", "2015MNRAS.446.3697L", "2015MNRAS.447.2503G", "2015MNRAS.447.3402B", "2016A&A...594A..91L", "2016AJ....151...44D", "2016ApJ...828...90L", "2016MNRAS.456...47M", "2016MNRAS.460.1328D", "2016MNRAS.460.1885U", "2016MNRAS.463.3021B", "2016arXiv161100036D", "2016sf2a.conf..259P", "2017ApJ...841...87L", "2017MNRAS.471..255K", "2018ApJ...864..142D", "2018ApJ...864..143D", "2019ApJ...875..111W", "2019MNRAS.485L..24K", "2019MNRAS.488.1035K", "2019Msngr.175....3D", "2020A&A...641A...6P", "2020MNRAS.493.4256D", "2020MNRAS.494.3080N", "2021MNRAS.503.2077B", "2021MNRAS.506.4389G", "2022A&A...660A..34V", "2022MNRAS.514...55B", "2023MNRAS.523.1399D" ]
32601103
2501.05579
An Exceptionally Powerful, Radiatively Driven Ultrafast Outflow in the Rapidly Accreting AGN RE J1034+396
We report the analysis of ∼1 Ms of XMM-Newton observations of the rapidly accreting active galactic nucleus RE J1034+396. The 0.3–9 keV EPIC-pn spectra are well described by a model consisting of steep continuum emission from the corona accompanied by relativistically blurred reflection from a highly ionized accretion disk. The source is known to exhibit strong excess soft X-ray emission, which we show is well represented by thermal disk photons Comptonized by a warm plasma spanning the inner accretion flow. Additionally, the EPIC-pn data provide compelling evidence (ΔC ∼ 60 for four additional parameters) for the presence of an ultrafast outflow (UFO) with a line-of-sight velocity <inline-formula> </inline-formula>, and an emission signature consistent with reflection of the corona from modestly ionized, outflowing gas. The simultaneous 0.5–2.5 keV RGS spectra show clear absorption lines. Modelling of these data confirms the presence of the UFO and constrains its equivalent hydrogen column density, log N<SUB>H</SUB>/(atom cm<SUP>‑2</SUP>) = <inline-formula> </inline-formula>. The RGS data also reveal at least two warm absorber components with a modest outflow velocity (<inline-formula> </inline-formula> km s<SUP>‑1</SUP>). The measured properties and time evolution of the UFO in RE J1034+396 suggest that it is formed from collisionally ionized plasma, launched from the disk surface and accelerated by radiation pressure. The high terminal velocity and substantial absorbing column density imply that the outflow carries sufficient momentum and energy to transform its environment, being capable of driving out essentially all dust and gas it interacts with along the line of sight, even if the AGN were initially surrounded by a Compton-thick absorber.
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15.540357
8.080439
2025-01-03
0
2025ApJ...979..101T
[ "strong excess soft X-ray emission", "substantial absorbing column density", "steep continuum emission", "thermal disk photons", "clear absorption lines", "UFO", "RGS spectra", "∼1 Ms", "compelling evidence", "time evolution" ]
[ "Active galaxies", "17", "Astrophysics - High Energy Astrophysical Phenomena" ]
294
[ "10.3847/1538-4357/ad9f3e", "10.48550/arXiv.2501.05579" ]
[ "Taylor, Chloe S.", "Wilkins, Daniel R.", "Allen, Steven W." ]
[ "Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA; Kavli Institute for Particle Astrophysics &amp; Cosmology, Stanford University, 452 Lomita Mall, Stanford, CA 94305, USA", "Kavli Institute for Particle Astrophysics &amp; Cosmology, Stanford University, 452 Lomita Mall, Stanford, CA 94305, USA", "Department of Physics, Stanford University, 382 Via Pueblo Mall, Stanford, CA 94305, USA; Kavli Institute for Particle Astrophysics &amp; Cosmology, Stanford University, 452 Lomita Mall, Stanford, CA 94305, USA; SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA" ]
null
[ "1969ApJ...156..943T", "1973A&A....24..337S", "1974ITAC...19..716A", "1982MNRAS.199..883B", "1996A&A...305...53B", "1996ASPC..101...17A", "1998MNRAS.293L..52P", "1998PASP..110..761F", "1998SSRv...85..161G", "2000ApJ...543..686P", "2001A&A...365L...1J", "2001A&A...365L...7D", "2001A&A...365L..18S", "2001ApJS..133..221K", "2003ApJ...593L..65R", "2003ApJ...595...85C", "2003MNRAS.346.1025P", "2004ApJ...616..688P", "2008Natur.455..369G", "2009ApJ...693..822H", "2009MNRAS.394..250M", "2010A&A...521A..57T", "2010ApJ...718..551M", "2010ApJ...718..583S", "2010ApJ...718..695G", "2010MNRAS.401..507B", "2010MNRAS.403....9M", "2011ApJ...731..131G", "2011MNRAS.417..250M", "2012ARA&A..50..455F", "2012ApJS..203...21A", "2012MNRAS.420.1848D", "2012MNRAS.423.3083M", "2013ApJ...768..146G", "2013MNRAS.430...60G", "2014ApJ...782...76G", "2014MNRAS.444L.100D", "2014MNRAS.445L..16A", "2015ARA&A..53..115K", "2015MNRAS.451.4169G", "2015Sci...347..860N", "2016A&A...587A.151K", "2016A&A...594A.116H", "2017Natur.549..488R", "2018ApJ...852...35K", "2018ApJ...868..109T", "2019ApJ...885...95M", "2020MNRAS.493.1088I", "2021A&A...646A.111L", "2021MNRAS.500.2475J", "2021NatAs...5...13L", "2022MNRAS.516.5027O", "2022SPIE12181E..2EG", "2023RMxAA..59..327C", "2023RNAAS...7..246G", "2024A&A...687A.179X", "2024ApJ...967..105Z" ]
32558567
2501.05581
More than a void? The detection and characterization of cavities in a simulated galaxy's interstellar medium
The interstellar medium of galaxies is filled with holes, bubbles, and shells, typically interpreted as remnants of stellar evolution. There is growing interest in the study of their properties to investigate stellar and supernova feedback. So far, the detection of cavities in observational and numerical data is mostly done visually and, hence, is prone to biases. Therefore, we present an automated, objective method for discovering cavities in particle simulations, with demonstrations using hydrodynamical simulations of a dwarf galaxy. The suggested technique extracts holes based on the persistent homology of particle positions and identifies tight boundary points around each. With a synthetic ground-truth analysis, we investigate the relationship between data density and the detection radius, demonstrating that higher data density also allows for the robust detection of smaller cavities. By tracking the boundary points, we can measure the shape and physical properties of the cavity, such as its temperature. In this contribution, we detect 808 holes in 21 simulation snapshots. We classified the holes into supernova-blown bubbles and cavities unrelated to stellar feedback activity based on their temperature profile and expansion behaviour during the 100 million years covered by the simulation snapshots analysed for this work. Surprisingly, less than 40% of the detected cavities can unequivocally be linked to stellar evolution. Moreover, about 36% of the cavities are contracting, while 59% are expanding. The rest do not change for a few million years. Clearly, it is erroneous to interpret observational data based on the premise that all cavities are supernova-related and expanding. This study reveals that supernova-driven bubbles typically exhibit smaller diameters, larger expansion velocities, and lower kinetic ages (with a maximum of 220 million years) compared to other cavities.
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11.363926
8.231007
2025-01-05
0
2025A&C....5100923T
[ "smaller cavities", "other cavities", "cavities", "particle simulations", "higher data density", "stellar feedback activity", "observational data", "hydrodynamical simulations", "stellar evolution", "holes" ]
[ "Galaxies", "Dwarf – supernovae", "General – software", "Data analysis", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
198
[ "10.1016/j.ascom.2024.100923", "10.48550/arXiv.2501.05581" ]
[ "Taghribi, Abolfazl", "Canducci, Marco", "Mastropietro, Michele", "De Rijcke, Sven", "Peletier, Reynier Frans", "Tino, Peter", "Bunte, Kerstin" ]
[ "University of Groningen, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, P.O. Box 407 9700 AK Groningen, Netherlands;", "University of Birmingham, school of computer science, B15 2TT, Birmingham, United Kingdom", "Ghent University, Department of Physics &amp; Astronomy, Krijgslaan 281, S9, B-9000, Ghent, Belgium", "Ghent University, Department of Physics &amp; Astronomy, Krijgslaan 281, S9, B-9000, Ghent, Belgium", "University of Groningen, Kapteyn Institute, P.O. Box 800 9700 AV Groningen, Netherlands", "University of Birmingham, school of computer science, B15 2TT, Birmingham, United Kingdom", "University of Groningen, Bernoulli Institute of Mathematics, Computer Science and Artificial Intelligence, P.O. Box 407 9700 AK Groningen, Netherlands" ]
null
[ "1966MNRAS.131..371W", "1967AuJPh..20..147H", "1967PASP...79...29H", "1974ApJ...188..501C", "1975ApJ...200L.107C", "1976ApJ...208L.137H", "1987ApJ...317..190M", "1997MNRAS.289..570O", "2003ApJ...586L.133C", "2003ApJS..148..473K", "2004ApJ...613..200S", "2007MNRAS.380..551P", "2008ApJS..175..165B", "2008MNRAS.386.2101N", "2008MNRAS.387..933C", "2009ApJ...704.1538W", "2009LNP...665..291V", "2010ApJ...724..341H", "2011AJ....141...23B", "2011LNCS.6970...60V", "2011MNRAS.414..350S", "2011MNRAS.414..384S", "2011MNRAS.416..601S", "2013MNRAS.433.3005D", "2015A&C.....9....1S", "2015ApJ...815...85V", "2017A&A...607A..13V", "2017MNRAS.465.4281P", "2018MNRAS.476.3195C", "2019A&C....27...34X", "2020AJ....160...66P", "2020MNRAS.493.1034N", "2021MNRAS.504.3387M", "2023A&A...676A..67W", "2023ApJ...944L..18M", "2024MNRAS.529.4325B" ]
32552603
2501.05592
Development of SQUID Array Amplifiers for the LiteBIRD CMB Satellite
LiteBIRD is an upcoming JAXA-led mission that aims to measure primordial gravitational waves in the B-mode polarization of the cosmic microwave background. It is set to launch in 2032. The LiteBIRD detector array consists of around 5000 TES detectors which are read out using digital frequency multiplexing over a bandwidth of 1-6 MHz. The multiplexing factor ranges from 58x to 68x. We are presently developing single-stage SQUID array amplifiers for LiteBIRD readout. Due to the reduced complexity and cost, and greater heritage from ground-based experiments such as the South Pole Telescope and Simons Array, single-stage SQUID array amplification is preferable for the first-stage amplification, as long as it can meet the requirements. The LiteBIRD single-stage SQUID Array is required to have high transimpedance amplification while maintaining a low input inductance and low dynamic resistance. In addition, the input-referred current noise must be very low, and the power dissipation must remain below about 100 nW. These requirements have non-trivial interactions. To maximize performance within these requirements we have performed lumped-element SQUID simulation. We find that by optimizing SQUID internal damping elements and inductive loading, good single-stage SQUID array performance can be obtained for LiteBIRD, including significant engineering margin.
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10.670926
2.815981
2025-01-02
0
2025arXiv250105592B
[ "SQUID internal damping elements", "SQUID", "single-stage SQUID array amplification", "good single-stage SQUID array performance", "single-stage SQUID array amplifiers", "high transimpedance amplification", "low dynamic resistance", "LiteBIRD readout", "primordial gravitational waves", "digital frequency multiplexing" ]
[ "Physics - Instrumentation and Detectors", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
193
[ "10.48550/arXiv.2501.05592" ]
[ "Boyd, S. T. P.", "de Haan, Tijmen" ]
[ "-", "-" ]
null
[ "1968ApPhL..12..277S", "1968JAP....39.3113M", "1977ITM....13..859T", "1977JLTP...29..301T", "1982JLTP...47..385T", "1985ITM....21.1032T", "1985JAP....57.1691E", "1985JAP....58.1916E", "1991ITM....27.2924W", "1992JAP....71.6150R", "2007ITAS...17..699D", "2012RScI...83g3113D", "2012SPIE.8452E..0ED", "2016SPIE.9914E..1CH", "2018JLTP..193.1094E", "2020JLTP..199..182B", "2021ITAS...3160356K", "2021arXiv210311465K", "2022JATIS...8a4001M", "2022SPIE12190E..27R", "2023PTEP.2023d2F01L" ]
32552606
2501.05602
Mind the gaps: improved methods for the detection of periodicities in unevenly-sampled data
The detection of periodic signals in irregularly-sampled time series is a problem commonly encountered in astronomy. Traditional tools used for periodic searches, such as the periodogram, have poorly defined statistical properties under irregular sampling, which complicate inferring the underlying aperiodic variability used for hypothesis testing. The problem is exacerbated in the presence of stochastic variability, which can be easily mistaken by genuine periodic behaviour, particularly in the case of poorly sampled lightcurves. Here we present a method based on Gaussian Processes (GPs) modelling for period searches and characterization, specifically developed to overcome these problems. We argue that in cases of irregularly-sampled time series, GPs offer an appealing alternative to traditional periodograms, because the known distribution of the data (correlated Gaussian) allows a well-defined likelihood to be constructed. We exploit this property and draw from existing statistical methods to perform traditional likelihood ratio tests for an additional, (quasi-)periodic component, using the aperiodic variability inferred from the data as the null hypothesis. Inferring the noise from the data allows the method to be fully generalizable, with the only condition that the data can be described as a Gaussian process. We demonstrate the method by applying it to a variety of objects showing varying levels of noise and data quality. Limitations of the method are discussed and a package implementing the proposed methodology is made publicly available.
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7.007465
10.553098
2025-01-02
0
2025arXiv250105602G
[ "existing statistical methods", "periodic searches", "traditional likelihood ratio tests", "genuine periodic behaviour", "stochastic variability", "traditional periodograms", "periodic signals", "statistical properties", "period searches", "Traditional tools" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics", "Astrophysics - High Energy Astrophysical Phenomena" ]
330
[ "10.48550/arXiv.2501.05602" ]
[ "Gúrpide, A.", "Middleton, M." ]
[ "-", "-" ]
null
[ "1982ApJ...263..835S", "1986ApJ...302..757H", "1991ApJ...374..344K", "1992ApJ...400..138D", "1994astro.ph.11050S", "1995A&A...300..707T", "1996ApJ...468..369I", "2002ApJ...571..545P", "2002ApJ...572..392B", "2002MNRAS.332..231U", "2003ApJ...588..763D", "2003MNRAS.345.1271V", "2004ApJ...611.1005G", "2005A&A...431..391V", "2005MNRAS.359..345U", "2005MNRAS.362..235V", "2006gpml.book.....R", "2007A&A...469..379E", "2007AIPC..924..691B", "2008MNRAS.388.1693F", "2008Natur.455..369G", "2009ApJ...700..243M", "2009MNRAS.397.1177E", "2010ApJ...724...26M", "2010MNRAS.402..307V", "2010MNRAS.403..605B", "2011ApJ...730...52K", "2011MNRAS.415.2323I", "2012A&A...544A..80G", "2012MNRAS.420.1575K", "2013MNRAS.433..907E", "2013PASP..125..306F", "2014ApJ...788...33K", "2014MNRAS.445L..16A", "2014Natur.514..198M", "2014SPIE.9143E..20R", "2015Natur.518...74G", "2016JOSS....1...24F", "2016MNRAS.461.3145V", "2016SPIE.9913E..3EJ", "2017A&A...605A..51K", "2017AJ....154..220F", "2017ApJ...835L...9H", "2017MNRAS.466L..48I", "2018A&A...616A.186F", "2018ApJS..236...16V", "2019Sci...363..531P", "2020ApJ...902...65S", "2020MNRAS.491.4949V", "2021A&A...651A..75F", "2021MNRAS.501.5478A", "2021RNAAS...5..107J", "2022A&A...668A.134B", "2022ApJ...936...17H", "2022arXiv220111633J", "2023ApJ...946...52Z", "2023MNRAS.524.4302K", "2024MNRAS.528.6608T", "2024Natur.630..325P", "2024RNAAS...8..250G", "2024arXiv240516187Y" ]
32552607
2501.05604
The LSPE-Strip Pointing Reconstruction and Star Tracker
This paper aims to describe the Pointing Reconstruction Model (PRM) and the prototype Star Tracker, which will be mounted on LSPE-Strip, a microwave Q- and W-band CMB telescope planned for installation at the "Observatorio del Teide" in Tenerife. The PRM integrates information on the instantaneous attitude provided by the telescope control system to determine the actual pointing direction and focal plane orientation of the telescope. It accounts for various non-idealities in the telescope setup, represented by eight configuration angles, which will be calibrated using the Star Tracker. Following the derivation of the PRM formalism and its implementation, we investigate the pointing errors caused by incorrect calibration of these configuration angles to validate the required 1 arcminute maximum systematic pointing error for the LSPE-Strip survey. This paper also describes the main structure and operations of the Star Tracker and presents the results of a campaign of actual sky observations conducted with a prototype. The results demonstrate a Star Tracker RMS accuracy of approximately 3 arcseconds, while systematic errors remain below 10 arcseconds. Based on these results, we analyzed the problem of reconstructing the PRM configuration angles. Two methods for intercalibrating the Star Tracker's pointing direction with respect to the focal plane's pointing direction were examined: (1) observations of planets and (2) observations of a drone carrying both an optical beacon and a radio beacon. In the first case, an intercalibration accuracy between 1/3 arcminute and 1 arcminute is achievable. In the second case, the expected intercalibration accuracy ranges from 0.25 arcminute to 1 arcminute.
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10.072475
3.364525
2025-01-02
0
2025arXiv250105604M
[ "Star Tracker", "actual sky observations", "systematic errors", "PRM", "a Star Tracker RMS accuracy", "focal plane orientation", "the prototype Star Tracker", "the Star Tracker", "the PRM configuration angles", "incorrect calibration" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics" ]
126
[ "10.48550/arXiv.2501.05604" ]
[ "Maris, Michele", "Tomasi, Maurizio", "Baratto, Matteo", "Paonessa, Fabio", "Franceschet, Cristian", "Tavagnacco, Daniele", "Peverini, Oscar Antonio", "Villa, Fabrizio", "Zannoni, Mario", "Bersanelli, Marco", "Caccianiga, Barbara", "Mandelli, Stefano", "Mennella, Aniello", "Nati, Federico", "Sartor, Stefano", "Génova-Santos, Ricardo T.", "Rubino-Martin, Jose A.", "Cuttaia, Francesco", "Cavaliere, Francesco", "Mandelli, Luciano", "Gervasi, Massimo", "Zacchei, Andrea" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1997PhRvD..56..596H", "1997PhRvL..78.2054S", "1997PhRvL..78.2058K", "2005ApJ...622..759G", "2006hca..book.....H", "2010AJ....139.1782L", "2013PASP..125..306F", "2016ASSL..423.....M", "2022ApJ...926...54A", "2023MNRAS.519.3383R", "2024JInst..19P6016G" ]
32552609
2501.05609
Phase-resolved Hubble Space Telescope WFC3 Spectroscopy of Weakly-Irradiated Brown Dwarf GD 1400 and Energy Redistribution-Irradiation Trends in Six WD$-$BD Binaries
Irradiated brown dwarfs offer a unique opportunity to bridge the gap between stellar and planetary atmospheres. We present high-quality $\mathit{HST}$/WFC3/G141 phase-resolved spectra of the white dwarf + brown dwarf binary GD 1400, covering more than one full rotation of the brown dwarf. Accounting for brightness variations caused by ZZ Ceti pulsations, we revealed weak ($\sim$1\%) phase curve amplitude modulations originating from the brown dwarf. Sub-band light curve exploration in various bands showed no significant wavelength dependence on amplitude or phase shift. Extracted day- and night-side spectra indicated chemically similar hemispheres, with slightly higher day-side temperatures, suggesting efficient heat redistribution or dominance of radiative escape over atmospheric circulation. A simple radiative and energy redistribution model reproduced observed temperatures well. Cloud-inclusive models fit the day and night spectra better than cloudless models, indicating global cloud coverage. We also begin qualitatively exploring atmospheric trends across six irradiated brown dwarfs, from the now complete "Dancing with Dwarfs" WD$-$BD sample. The trend we find in the day-side/night-side temperature and irradiation levels is consistent with efficient heat redistribution for irradiation levels less than $\sim$10$^9$ ergs/s/cm$^2$ and decreasing efficiency above that level.
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6.305582
11.926281
2025-01-02
0
2025arXiv250105609A
[ "Irradiated brown dwarfs", "energy redistribution model", "efficient heat redistribution", "irradiation levels", "cloudless models", "ZZ Ceti pulsations", "atmospheric trends", "observed temperatures", "various bands", "radiative escape" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - Earth and Planetary Astrophysics" ]
231
[ "10.48550/arXiv.2501.05609" ]
[ "Amaro, Rachael C.", "Apai, Dániel", "Zhou, Yifan", "Lothringer, Joshua D.", "Casewell, Sarah L.", "Tan, Xianyu", "Lew, Ben W. P.", "Barman, Travis", "Marley, Mark S.", "Mayorga, L. C.", "Parmentier, Vivien" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1982ApJ...258..651F", "1988IAUS..123..305W", "1996A&AS..117..393B", "2000SPIE.4008..534D", "2001A&A...378..556K", "2001RvMP...73..719B", "2002A&A...385..166S", "2003ApJ...591.1184F", "2003ApJ...594.1011H", "2004AJ....128.1868F", "2005AJ....130.2237F", "2005MNRAS.357.1049D", "2006AJ....131.1163S", "2006MNRAS.373L..55B", "2006Natur.442..543M", "2007CSE.....9...90H", "2008ApJ...678.1372C", "2008ApJ...678.1419F", "2009A&A...500.1207S", "2009PASP..121...59K", "2010MmSAI..81..921K", "2010PASP..122..935E", "2011AIPC.1331..262B", "2011ApJ...738...71S", "2012ApJ...759L..34C", "2012ApJ...760L..31B", "2013A&A...558A..33A", "2013A&A...558A..96B", "2013ApJ...762...24S", "2013ApJ...768..121A", "2013ApJ...776..134P", "2013MNRAS.429.3492S", "2014A&A...562A.133P", "2014ApJ...782...77B", "2014ApJ...794..132R", "2014MNRAS.437.1836K", "2014MNRAS.445.2106L", "2014PASA...31...43B", "2015ARA&A..53..279M", "2015ApJ...799..229W", "2016ApJ...826....8Y", "2016ApJ...828...22P", "2017AJ....153..243Z", "2017ApJ...848...83L", "2017ApJS..231...15D", "2017MNRAS.471..948R", "2017MNRAS.471..976P", "2017NatAs...1E..32F", "2018AJ....155...11M", "2018AJ....156...17K", "2018AJ....156..123A", "2018ApJ...866....2Z", "2018MNRAS.476.1405C", "2019AJ....158..166B", "2020A&A...638A..82B", "2020AJ....159..289L", "2020ApJ...902...27T", "2020MNRAS.497.3571C", "2020NatMe..17..261V", "2020Natur.585..357H", "2020RAA....20...99Z", "2020SSRv..216..139S", "2021ApJ...908..101R", "2021MNRAS.504.3316B", "2022AJ....163....8L", "2022AJ....163...17Z", "2022AJ....163...35B", "2022ApJ...935..167A", "2022ApJ...941L..40K", "2023AJ....166....5O", "2023ApJ...948..129A", "2023ApJ...957...22Z", "2024ApJ...966....4A", "2024ApJ...968..126L", "2024ApJ...975...59M", "2024MNRAS.528.1016T", "2024MNRAS.531.1056R", "2024MNRAS.535..753C" ]
32552622
2501.05612
Thin and thick bubble walls III: wall energy
We study the energy-momentum tensor of a bubble wall beyond the approximation of an infinitely thin wall. To this end, we discuss the proper decomposition into wall and bulk contributions, and we use a systematic method to calculate the energy-momentum tensor at any order in the wall width. We consider the specific examples of spherical bubbles with different initial configurations, and we compare our approximations with a numerical computation.
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9.75499
-1.200232
2025-01-02
0
2025arXiv250105612M
[ "spherical bubbles", "different initial configurations", "wall and bulk contributions", "a bubble wall", "the energy-momentum tensor", "the proper decomposition", "a systematic method", "the specific examples", "a numerical computation", "the wall width" ]
[ "General Relativity and Quantum Cosmology", "Astrophysics - Cosmology and Nongalactic Astrophysics", "High Energy Physics - Theory" ]
293
[ "10.48550/arXiv.2501.05612" ]
[ "Mégevand, Ariel", "Agustín Membiela, Federico" ]
[ "-", "-" ]
null
[ "1973grav.book.....M", "1993ARNPS..43...27C", "1993PhRvD..47.4372K", "1993PhRvD..48.2477H", "1994PhRvD..49.2837K", "1995PhRvD..52.7182M", "2000csot.book.....V", "2004rtmb.book.....P" ]
32552614
2501.05615
Stellar obliquities of eight close-in gas giant exoplanets
The Rossiter-McLaughlin effect allows us to measure the projected stellar obliquity of exoplanets. From the spin-orbit alignment, planet formation and migration theories can be tested to improve our understanding of the currently observed exoplanetary population. Despite having the spin-orbit measurements for more than 200 planets, the stellar obliquity distribution is still not fully understood, warranting additional measurements to sample the full parameter space. We analyze archival HARPS and HARPS-N spectroscopic transit time series of eight gas giant exoplanets on short orbits and derive their projected stellar obliquity $\lambda$. We report a prograde, but misaligned orbit for HAT-P-50b ($\lambda =41^\circ\ ^{+10}_{-9}$), possibly hinting at previous high-eccentricity migration given the presence of a close stellar companion. We measured sky-projected obliquities that are consistent with aligned orbits for the rest of the planets: WASP-48b ($\lambda =-4^\circ\ \pm$ 4), WASP-59b ($\lambda =-1^\circ\ ^{+20}_{-21}$), WASP-140 Ab ($\lambda =-1^\circ\ \pm$ 3), WASP-173 Ab ($\lambda =9^\circ\ \pm$ 5), TOI-2046b ($\lambda =1^\circ\ \pm$ 6), HAT-P-41 Ab ($\lambda =-4^\circ\ ^{+5}_{-6}$), and Qatar-4b ($\lambda =-13^\circ\ ^{+15}_{-19}$). We measure the true stellar obliquity $\psi$ for four systems. We infer a prograde, but misaligned, orbit for TOI-2046b with $\psi=$42$^{+10}_{-8}$\,deg. Additionally, $\psi = 30^\circ\ ^{+18}_{-15}$ for WASP-140 Ab, $\psi = 21^\circ\ ^{+9}_{-10}$ for WASP-173 Ab, and $\psi = 32^\circ\ ^{+14}_{-13}$ for Qatar-4b. The aligned orbits are consistent with slow disk migration, ruling out violent events that would excite the orbits over the history of these systems. Finally, we provide a new age estimate for TOI-2046 of at least 700 Myr and for Qatar-4 of at least 350-500 Myr, contradicting previous results.
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6.89254
14.192149
2025-01-02
0
2025arXiv250105615Z
[ "aligned orbits", "short orbits", "misaligned orbit", "orbit", "\\lambda", "WASP-140 Ab", "=", "slow disk migration", "WASP-173 Ab", "migration theories" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
310
[ "10.48550/arXiv.2501.05615" ]
[ "Zak, J.", "Boffin, H. M. J.", "Sedaghati, E.", "Bocchieri, A.", "Balkoova, Z.", "Skarka, M.", "Kabath, P." ]
[ "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1967ApJ...150..551K", "1976Ap&SS..39..447L", "1982ApJ...263..835S", "1992StaSc...7..457G", "2003Msngr.114...20M", "2007ApJ...669.1298F", "2008A&A...486..951G", "2008ApJ...686..580C", "2008ApJ...687.1264M", "2010ARA&A..48..581S", "2010ApJS..190....1R", "2010MNRAS.401.1505B", "2010MNRAS.405.1907B", "2010MNRAS.407..507C", "2011AJ....142...86E", "2011ApJ...742...69H", "2011ApJ...743L..16O", "2011MNRAS.411.2199G", "2011MNRAS.412.2790L", "2011MNRAS.417.2166S", "2012AJ....144..139H", "2012ApJ...757...18A", "2012Natur.491..418B", "2013A&A...549A.134H", "2013A&A...550A..53B", "2013A&A...560A...4R", "2013MNRAS.435.2152K", "2013PASP..125...48M", "2014A&A...569A.111B", "2014ApJ...794L..12M", "2014MNRAS.444.3592D", "2014prpl.conf..667B", "2015AJ....150..168H", "2015JATIS...1a4003R", "2016ARA&A..54..441N", "2016ApJ...827....8N", "2016Natur.529..181V", "2017A&A...605A.114M", "2017AJ....153..200A", "2017AJ....154..137J", "2017AJ....154..220F", "2017MNRAS.464..810B", "2017MNRAS.465.3693H", "2017PASP..129j4502K", "2018ARA&A..56..175D", "2018ExA....46..135T", "2018PASP..130d4504F", "2018PASP..130k4401K", "2018RNAAS...2...31F", "2018haex.bookE...2T", "2019AJ....157..242E", "2019AJ....158..173A", "2019ARA&A..57..617M", "2019ApJS..240...13L", "2019MNRAS.482.1379H", "2019MNRAS.486.2075B", "2020A&A...635A..73B", "2020A&A...636A..53T", "2020AJ....159...81M", "2020ExA....50..303M", "2021A&A...645A..96P", "2021AJ....161...51S", "2021AJ....162...75L", "2021AJ....162..272S", "2021ApJ...909...40T", "2021ApJ...916L...1A", "2021FrASS...8...16F", "2021JOSS....6.3285F", "2022A&A...660A..99K", "2022A&A...666A.142S", "2022AJ....163..160B", "2022AJ....164..115N", "2022AN....34324012A", "2022AcA....72....1M", "2022ApJ...925L...5B", "2022ApJ...927...22S", "2022ApJ...937...36P", "2022ApJS..260....3C", "2022MNRAS.513.5955K", "2022PASP..134h2001A", "2023A&A...674A...1G", "2023A&A...674A.120A", "2023AJ....165...65R", "2023AJ....165..264B", "2023AJ....166..112D", "2023AJ....166..130S", "2023ApJ...947L...3B", "2023ApJ...950L...2S", "2023ESC.....7..260E", "2023ExA....56..605B", "2023JOSS....8.5348M", "2023MNRAS.518.2068G", "2023MNRAS.523..802J", "2023MNRAS.524.4196H", "2023Natur.623..932L", "2023RNAAS...7..264A", "2024A&A...682A..73J", "2024A&A...685A..90M", "2024A&A...686A.147Z", "2024A&A...687L...2Z", "2024A&A...689A.179O", "2024AJ....167..126R", "2024ApJ...976..234B", "2024MNRAS.535..171P", "2024Natur.632...50G", "2024Natur.635..574B", "2024RASTI...3..691K", "2024arXiv240510379C" ]
32552635
2501.05632
OpenUniverse2024: A shared, simulated view of the sky for the next generation of cosmological surveys
The OpenUniverse2024 simulation suite is a cross-collaboration effort to produce matched simulated imaging for multiple surveys as they would observe a common simulated sky. Both the simulated data and associated tools used to produce it are intended to uniquely enable a wide range of studies to maximize the science potential of the next generation of cosmological surveys. We have produced simulated imaging for approximately 70 deg$^2$ of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Wide-Fast-Deep survey and the Nancy Grace Roman Space Telescope High-Latitude Wide-Area Survey, as well as overlapping versions of the ELAIS-S1 Deep-Drilling Field for LSST and the High-Latitude Time-Domain Survey for Roman. OpenUniverse2024 includes i) an early version of the updated extragalactic model called Diffsky, which substantially improves the realism of optical and infrared photometry of objects, compared to previous versions of these models; ii) updated transient models that extend through the wavelength range probed by Roman and Rubin; and iii) improved survey, telescope, and instrument realism based on up-to-date survey plans and known properties of the instruments. It is built on a new and updated suite of simulation tools that improves the ease of consistently simulating multiple observatories viewing the same sky. The approximately 400 TB of synthetic survey imaging and simulated universe catalogs are publicly available, and we preview some scientific uses of the simulations.
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11.311765
4.362704
2025-01-02
0
2025arXiv250105632O
[ "multiple surveys", "synthetic survey imaging", "improved survey", "cosmological surveys", "simulated imaging", "matched simulated imaging", "simulated universe catalogs", "simulation tools", "previous versions", "instrument realism" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
630
[ "10.48550/arXiv.2501.05632" ]
[ "OpenUniverse", "The LSST Dark Energy Science Collaboration", "The Roman HLIS Project Infrastructure Team", "The Roman RAPID Project Infrastructure Team", "The Roman Supernova Cosmology Project Infrastructure Team", "Alarcon, A.", "Aldoroty, L.", "Beltz-Mohrmann, G.", "Bera, A.", "Blazek, J.", "Bogart, J.", "Braeunlich, G.", "Broughton, A.", "Cao, K.", "Chiang, J.", "Chisari, N. E.", "Desai, V.", "Fang, Y.", "Galbany, L.", "Hearin, A.", "Heitmann, K.", "Hirata, C.", "Hounsell, R.", "Jain, B.", "Jarvis, M.", "Jencson, J.", "Kannawadi, A.", "Kasliwal, M. K.", "Kessler, R.", "Kiessling, A.", "Knop, R.", "Kovacs, E.", "Laher, R.", "Laliotis, K.", "Lin, C.", "Lopes, I.", "Mahabal, A.", "Mandelbaum, R.", "Masiero, J.", "Mau, S.", "Meehan, C.", "Meyers, J.", "Moraes, B.", "Paladini, R.", "Pearl, A.", "Plazas Malagon, A.", "Rose, B.", "Rubin, D.", "Rusholme, B.", "Santos, A.", "Šarčević, N.", "Scolnic, D.", "Troxel, M. A.", "Van Alfen, N.", "Van Dyke, S.", "Walter, C. W.", "Wu, T.", "Yamamoto, M.", "Yan, Y.", "Zhang, T." ]
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null
[ "1978ApJ...225.1021W", "1996A&AS..117..393B", "1998ApJ...500..525S", "2000ApJ...533..682C", "2000ApJS..131..273F", "2002ApJ...567..532H", "2002ApJS..140..303L", "2002RvMP...74.1015W", "2004ApJ...617..765C", "2005AJ....130..659A", "2006A&A...453..229B", "2007ApJ...666..694W", "2008ApJ...673..864J", "2009A&A...507.1793N", "2009PASP..121.1028K", "2009arXiv0903.4875D", "2010A&A...523A...7G", "2011A&A...532A..95F", "2011ApJ...741...46R", "2011arXiv1110.3193L", "2011ascl.soft08013B", "2012MNRAS.423.2203P", "2012Natur.491..228C", "2013ARA&A..51..511K", "2013ApJ...762..109B", "2013ApJ...763...18B", "2013ApJ...764...48K", "2013ApJ...775L..16K", "2013MNRAS.431..477J", "2013MNRAS.431..912Q", "2014A&A...565A..70K", "2014A&A...568A..22B", "2014SPIE.9150E..15D", "2015A&C....10..121R", "2015ApJ...813...93S", "2016ApJ...822L..35S", "2016MNRAS.457.4340K", "2016MNRAS.461.1431R", "2016SPIE.9910E..13D", "2016SPIE.9911E..25R", "2016ascl.soft09011B", "2017ApJ...840...57Y", "2017ApJ...846..100G", "2017ApJS..233...21R", "2017MNRAS.464.2854K", "2017MNRAS.464.3568P", "2017MNRAS.469.1246K", "2017Natur.551...80K", "2018ApJ...852...72V", "2018ApJ...867...23H", "2018ApJS..236....6G", "2018MNRAS.474.1225A", "2018PASJ...70S...5B", "2018PASJ...70S...8A", "2018PASP..130k4504P", "2018arXiv181000001T", "2019ASPC..523..521B", "2019ApJ...873..111I", "2019ApJS..245...16H", "2019ApJS..245...26K", "2019MNRAS.488.3143B", "2019MNRAS.489.5802V", "2019PASP..131i4501K", "2019RAA....19....6Z", "2020ApJ...904...35P", "2020MNRAS.495.5040H", "2020NatAs...4..893N", "2021ApJ...917....9H", "2021ApJ...923..265K", "2021ApJS..253...31L", "2021MNRAS.505.2819V", "2021NatRP...3..712M", "2021OJAp....4E...7H", "2021PhRvD.103d3503P", "2021arXiv210104855L", "2021arXiv210706984J", "2021arXiv211103081R", "2022A&A...662A.112E", "2022ApJ...931...14L", "2022ApJ...936..157H", "2022ApJ...939...11P", "2022OJAp....5E...1K", "2022OJAp....5E...3H", "2022SPIE12189E..11J", "2023ApJ...943...41C", "2023ApJ...955L...6Y", "2023ApJS..267...25H", "2023MNRAS.518..562A", "2023MNRAS.521.1741H", "2023MNRAS.522.2801T", "2023arXiv230617226R", "2023arXiv230702670H", "2024MNRAS.528.2533H", "2024PASP..136l4506L", "2024arXiv241005442C" ]
32552649
2501.05649
The Emerging Class of Double-Faced White Dwarfs
We report our findings on a spectroscopic survey of seven unresolved DA+DB binary white dwarf candidates. We have discovered extreme spectroscopic variations in one of these candidates, SDSS J084716.21+484220.40. Previous analysis failed to reproduce the optical spectrum using a single object with a homogeneous atmosphere. Our time-resolved spectroscopy reveals a double-faced white dwarf that switches between a DBA and DA spectral type over 6.5 or 8.9 hours due to varying surface abundances. We also provide time-series spectroscopy of the magnetic DBA, SDSS J085618.94+161103.6 (LB 8915), and confirm an inhomogeneous atmosphere. We employ an atmosphere model with hydrogen caps and a helium belt that yields excellent fits to our time-resolved spectra. We use the oblique rotator model to derive the system geometry for both targets. With the addition of these two objects, the emerging class of double-faced white dwarfs now consists of seven members. We summarize the properties of this new class of objects, and discuss how magnetism impacts the convective processes and leads to the formation of double-faced white dwarfs. We identify cooler versions of white dwarfs with inhomogeneous atmospheres among the cool magnetic DA white dwarf sample, where the H$\alpha$ line is shallower than expected based on pure hydrogen atmosphere models.
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5.706366
11.492215
2025-01-02
1
2025arXiv250105649M
[ "white dwarfs", "pure hydrogen atmosphere models", "inhomogeneous atmospheres", "DA spectral type", "extreme spectroscopic variations", "double-faced white dwarfs", "seven unresolved DA+DB binary white dwarf candidates", "objects", "hydrogen caps", "the cool magnetic DA white dwarf sample" ]
[ "Astrophysics - Solar and Stellar Astrophysics" ]
286
[ "10.48550/arXiv.2501.05649" ]
[ "Moss, Adam", "Kilic, Mukremin", "Bergeron, Pierre", "Jewett, Gracyn", "Brown, Warren" ]
[ "-", "-", "-", "-", "-" ]
[ "2025arXiv250116021B" ]
[ "1950MNRAS.110..395S", "1973MNRAS.163..423M", "1986ApJ...307..242P", "1987fbs..conf..319F", "1991ApJ...371..719M", "1992ApJ...396..273A", "1994ApJ...423L..63S", "1997ApJS..112..527P", "2000MNRAS.315L..41M", "2001ApJ...554.1118W", "2003ApJ...595.1101S", "2005ApJ...623.1076P", "2006A&A...452..969S", "2006AJ....132..676E", "2008ApJ...672.1144T", "2011A&A...535A..25B", "2011ApJ...737...28B", "2011MNRAS.413.2827C", "2013AJ....145..155D", "2013Sci...342..218F", "2014Natur.515...88V", "2015A&A...583A..86K", "2015ASPC..493...53R", "2015ApJ...812...19T", "2015SSRv..191..111F", "2016MNRAS.462.2295H", "2017ASPC..509..169L", "2017ApJ...836L..28I", "2017ApJ...848...11B", "2017MNRAS.468..971G", "2017MNRAS.468.1946H", "2018ApJ...857...56R", "2018MNRAS.473.3693G", "2019ApJ...876...67B", "2019ApJ...882..106G", "2019MNRAS.482..649O", "2019MNRAS.488.2503C", "2020ApJ...889...87R", "2020ApJ...898...84K", "2020ApJ...901...93B", "2020MNRAS.492.3540C", "2021NatAs...5..648S", "2022A&A...658A..79L", "2022ApJ...927..128B", "2022ApJ...930....8B", "2022ApJ...934...36B", "2022ApJ...935L..12B", "2023A&A...677A.159T", "2023ApJ...946...24B", "2023MNRAS.519.4529C", "2023MNRAS.520.6135H", "2023MNRAS.523.5598M", "2023Natur.620...61C", "2024A&A...682A...5V", "2024A&A...688L..14B", "2024Ap&SS.369...43B", "2024ApJ...963L..22B", "2024ApJ...974...12J", "2024MNRAS.527.8687O", "2024MNRAS.52710111M", "2024MNRAS.528.6056H", "2024arXiv240803985C", "2024arXiv241204611K" ]
32552668
2501.05665
Dark Energy Survey Year 6 Results: Cell-based Coadds and Metadetection Weak Lensing Shape Catalogue
We present the Metadetection weak lensing galaxy shape catalogue from the six-year Dark Energy Survey (DES Y6) imaging data. This dataset is the final release from DES, spanning 4422 deg$^2$ of the southern sky. We describe how the catalogue was constructed, including the two new major processing steps, cell-based image coaddition and shear measurements with Metadetection. The DES Y6 Metadetection weak lensing shape catalogue consists of 151,922,791 galaxies detected over riz bands, with an effective number density of $n_{\rm eff}$ =8.22 galaxies per arcmin$^2$ and shape noise of $\sigma_e$ = 0.29. We carry out a suite of validation tests on the catalogue, including testing for PSF leakage, testing for the impact of PSF modeling errors, and testing the correlation of the shear measurements with galaxy, PSF, and survey properties. In addition to demonstrating that our catalogue is robust for weak lensing science, we use the DES Y6 image simulation suite (Mau, Becker et al. 2025) to estimate the overall multiplicative shear bias of our shear measurement pipeline. We find no detectable multiplicative bias at the roughly half-percent level, with m = (3.4 $\pm$ 6.1) x $10^{-3}$, at 3$\sigma$ uncertainty. This is the first time both cell-based coaddition and Metadetection algorithms are applied to observational data, paving the way to the Stage-IV weak lensing surveys.
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12.196476
3.52272
2025-01-02
0
2025arXiv250105665Y
[ "weak lensing science", "The DES Y6 Metadetection weak lensing shape catalogue", "the Metadetection weak lensing galaxy shape catalogue", "shear measurements", "DES Y6", "DES", "Metadetection algorithms", "galaxy", "PSF modeling errors", "Metadetection" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
372
[ "10.48550/arXiv.2501.05665" ]
[ "Yamamoto, M.", "Becker, M. R.", "Sheldon, E.", "Jarvis, M.", "Gruendl, R. A.", "Menanteau, F.", "Rykoff, E. S.", "Mau, S.", "Schutt, T.", "Gatti, M.", "Troxel, M. A.", "Amon, A.", "Anbajagane, D.", "Bernstein, G. M.", "Gruen, D.", "Huff, E. M.", "Tabbutt, M.", "Tong, A.", "Yanny, B.", "Abbott, T. M. C.", "Aguena, M.", "Alarcon, A.", "Andrade-Oliveira, F.", "Bechtol, K.", "Blazek, J.", "Brooks, D.", "Carnero Rosell, A.", "Carretero, J.", "Chang, C.", "Choi, A.", "Costanzi, M.", "Crocce, M.", "da Costa, L. N.", "Davis, T. M.", "De Vicente, J.", "Desai, S.", "Diehl, H. T.", "Dodelson, S.", "Doel, P.", "Doux, C.", "Drlica-Wagner, A.", "Ferté, A.", "Flaugher, B.", "Frieman, J.", "García-Bellido, J.", "Gaztanaga, E.", "Giannini, G.", "Gutierrez, G.", "Hartley, W. G.", "Herner, K.", "Hinton, S. R.", "Hollowood, D. L.", "Honscheid, K.", "Huterer, D.", "Krause, E.", "Kuehn, K.", "Lahav, O.", "Lima, M.", "Marshall, J. L.", "Mena-Fernández, J.", "Miquel, R.", "Mohr, J. J.", "Muir, J.", "Myles, J.", "Ogando, R. L. C.", "Pieres, A.", "Plazas Malagón, A. A.", "Porredon, A.", "Prat, J.", "Raveri, M.", "Rodriguez-Monroy, M.", "Roodman, A.", "Samuroff, S.", "Sanchez, E.", "Sanchez Cid, D.", "Scarpine, V.", "Sevilla-Noarbe, I.", "Smith, M.", "Suchyta, E.", "Tarle, G.", "Vikram, V.", "Weaverdyck, N.", "Wiseman, P.", "Zhang, Y." ]
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null
[ "1993ApJ...404..441K", "1996A&AS..117..393B", "1998ApJ...500..525S", "1999AJ....118.1406L", "2002AJ....123..583B", "2003A&A...412...45P", "2003MNRAS.343..459H", "2005ApJ...622..759G", "2005astro.ph.10346T", "2006MNRAS.368.1323H", "2006SPIE.6276E..08D", "2007MNRAS.376...13M", "2008A&A...482.1053K", "2008A&A...484...67P", "2009arXiv0912.0201L", "2010A&A...510A..75M", "2010MNRAS.404..350R", "2010MNRAS.404..458V", "2010MNRAS.405.2044B", "2011ASPC..442..435B", "2011MNRAS.412...65H", "2011arXiv1110.3193L", "2012MNRAS.424.2757M", "2012MNRAS.425.1951R", "2012MNRAS.427..146H", "2012MNRAS.427.2711K", "2012PhPro..37.1332T", "2013ApJS..205...12K", "2013ExA....35...25D", "2013MNRAS.434.2121C", "2013PASP..125..306F", "2014MNRAS.438.1880B", "2014MNRAS.441.2528K", "2015A&C....10..121R", "2015AJ....150..150F", "2015ApJ...807..182M", "2015MNRAS.447.1319F", "2015MNRAS.450.2963M", "2015arXiv150303757S", "2016JOSS....1...58B", "2016MNRAS.459.4467B", "2016MNRAS.460.2245J", "2016PhRvD..94b2002B", "2017ApJ...841...24S", "2017PASP..129g4503B", "2017arXiv170202600H", "2018A&A...616A...1G", "2018AJ....155...41B", "2018ARA&A..56..393M", "2018MNRAS.475.3165C", "2018MNRAS.481.1149Z", "2018PASJ...70S...4A", "2018PASP..130g4501M", "2018arXiv180901669T", "2019A&A...621A...2P", "2019A&A...624A..92K", "2019ApJ...873..111I", "2019JOSS....4.1298Z", "2019MNRAS.484.4127A", "2020ApJ...902..138S", "2020Natur.585..357H", "2021A&A...645A.104A", "2021A&A...649A...1G", "2021ApJS..254...24S", "2021ApJS..255...20A", "2021MNRAS.501.1282J", "2021MNRAS.504.4312G", "2021MNRAS.505.4249M", "2021MNRAS.505.4626J", "2022ApJS..258...11W", "2022ApJS..258...15E", "2022ApJS..262...22D", "2022MNRAS.509.3371M", "2022MNRAS.510.3207P", "2022PASJ...74..421L", "2022PhRvD.105b3514A", "2022PhRvD.105b3515S", "2022PhRvD.105h3518F", "2023MNRAS.520.2328Z", "2023MNRAS.521.4904L", "2023MNRAS.525.2441Z", "2023OJAp....6E...5M", "2023OJAp....6E..17S", "2023PhRvD.108l3518L", "2024ApJ...961...59T", "2024MNRAS.52710388L", "2024arXiv240701771A" ]
32552690
2501.05679
A new algorithm for detecting X-ray shots in Cyg X-1
The short-term X-ray variability of Cyg X-1 can be interpreted as random occurrence of mini-flares known as the shots, whose physical nature is still unclear. We propose a new algorithm for shot identification in the X-ray light curve, based on baseline detection and template fitting. Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. With NICER observations, we find that, after correction for detection sensitivity, both the shot amplitude and recurrence rate are positively scaled with the mean count rate, while the recurrence rate has a much higher dependence on the count rate. These suggest that a higher mass accretion rate will drive more and slightly larger shots. We also find that the abrupt hardening near the shot peak found in previous studies is attributed to different shot profiles in different energy bands; there is no need to involve a rapid physical process to suddenly harden the emitting spectrum.
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16.07653
9.114752
2025-01-02
0
2025arXiv250105679Q
[ "different shot profiles", "shot identification", "shots", "different energy bands", "baseline detection", "lower amplitudes", "detection sensitivity", "-", "previous studies", "previous techniques" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
179
[ "10.48550/arXiv.2501.05679" ]
[ "Qin, Jin", "Feng, Hua", "Tao, Lian" ]
[ "-", "-", "-" ]
null
[ "1972ApJ...174L..35T", "1972ApJ...177L...5T", "1979ApJ...229..318G", "1982MNRAS.198..689P", "1988Natur.336..450M", "1989Natur.342..773M", "1990A&A...227L..33B", "1991ApJ...376..295L", "1994ApJ...423L.127N", "1995ApJ...452L..49N", "1996ApJ...464L.135M", "1996ApJ...469L.115L", "1996PASJ...48...67K", "1999ApJ...510..874N", "1999ApJ...514..373F", "1999MNRAS.306L..31P", "1999NuPhS..69..344N", "2001ApJ...554..528N", "2001MNRAS.323L..26U", "2002ApJ...564..953F", "2002PASJ...54L..69N", "2005ApJ...633.1085F", "2009PASJ...61..999M", "2012SPIE.8443E..13G", "2013A&A...554A..88G", "2013ApJ...767L..34Y", "2013ApJS..209...14K", "2021Sci...371.1046M", "2022MNRAS.512.6067B" ]
32552687
2501.05683
Dark Energy Survey Year 6 Results: Synthetic-source Injection Across the Full Survey Using Balrog
Synthetic source injection (SSI), the insertion of sources into pixel-level on-sky images, is a powerful method for characterizing object detection and measurement in wide-field, astronomical imaging surveys. Within the Dark Energy Survey (DES), SSI plays a critical role in characterizing all necessary algorithms used in converting images to catalogs, and in deriving quantities needed for the cosmology analysis, such as object detection rates, galaxy redshift estimation, galaxy magnification, star-galaxy classification, and photometric performance. We present here a source injection catalog of $146$ million injections spanning the entire 5000 deg$^2$ DES footprint, generated using the Balrog SSI pipeline. Through this sample, we demonstrate that the DES Year 6 (Y6) image processing pipeline provides accurate estimates of the object properties, for both galaxies and stars, at the percent-level, and we highlight specific regimes where the accuracy is reduced. We then show the consistency between SSI and data catalogs, for all galaxy samples developed within the weak lensing and galaxy clustering analyses of DES Y6. The consistency between the two catalogs also extends to their correlations with survey observing properties (seeing, airmass, depth, extinction, etc.). Finally, we highlight a number of applications of this catalog to the DES Y6 cosmology analysis. This dataset is the largest SSI catalog produced at this fidelity and will serve as a key testing ground for exploring the utility of SSI catalogs in upcoming surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time.
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11.79892
4.027339
2025-01-02
0
2025arXiv250105683A
[ "DES Y6", "catalogs", "SSI", "survey observing properties", "object detection rates", "object detection", "DES", "galaxy magnification", "upcoming surveys", "Synthetic source injection" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Astrophysics of Galaxies" ]
302
[ "10.48550/arXiv.2501.05683" ]
[ "Anbajagane, D.", "Tabbutt, M.", "Beas-Gonzalez, J.", "Yanny, B.", "Everett, S.", "Becker, M. R.", "Yamamoto, M.", "Legnani, E.", "De Vicente, J.", "Bechtol, K.", "Elvin-Poole, J.", "Bernstein, G. M.", "Choi, A.", "Gatti, M.", "Giannini, G.", "Gruendl, R. A.", "Jarvis, M.", "Lee, S.", "Mena-Fernández, J.", "Porredon, A.", "Rodriguez-Monroy, M.", "Rozo, E.", "Rykoff, E. S.", "Schutt, T.", "Sheldon, E.", "Troxel, M. A.", "Weaverdyck, N.", "Wetzell, V.", "Aguena, M.", "Alarcon, A.", "Allam, S.", "Amon, A.", "Andrade-Oliveira, F.", "Brooks, D.", "Carnero Rosell, A.", "Carretero, J.", "Chang, C.", "Crocce, M.", "da Costa, L. N.", "Pereira, M. E. S.", "Davis, T. M.", "Desai, S.", "Diehl, H. T.", "Dodelson, S.", "Doel, P.", "Drlica-Wagner, A.", "Ferté, A.", "Frieman, J.", "García-Bellido, J.", "Gaztanaga, E.", "Gruen, D.", "Gutierrez, G.", "Hartley, W. G.", "Herner, K.", "Hinton, S. R.", "Hollowood, D. L.", "Honscheid, K.", "Huterer, D.", "James, D. J.", "Krause, E.", "Kuehn, K.", "Lahav, O.", "Marshall, J. L.", "Miquel, R.", "Muir, J.", "Myles, J.", "Pieres, A.", "Plazas Malagón, A. A.", "Prat, J.", "Raveri, M.", "Samuroff, S.", "Sanchez, E.", "Sanchez Cid, D.", "Sevilla-Noarbe, I.", "Smith, M.", "Suchyta, E.", "Tarle, G.", "Tucker, D. L.", "Walker, A. R.", "Wiseman, P.", "Zhang, Y." ]
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null
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32552702
2501.05691
Optical frequency comb integration in radio telescopes: advancing signal generation and phase calibration
Very long baseline interferometry (VLBI) enables high-angular-resolution observations in astronomy and geodesy by synthesizing a virtual telescope with baselines spanning hundreds to thousands of kilometres. Achieving high instrumental phase stability in VLBI relies on the generation of high-quality, atomic-referenced RF local oscillator (LO) and RF-comb signals for the effective downconversion of celestial RF signals and precise phase calibration, respectively. As observing frequencies move into higher ranges with wider bandwidth, conventional electronic methods face significant challenges in maintaining the quality of these signals. Here, we demonstrate that an optical frequency comb (OFC) can be used as a versatile tool to generate and distribute low-noise and atomic-referenced RF-comb and RF-LO signals in the VLBI telescope. Hydrogen maser-stabilized optical pulses are transmitted over a timing-stabilized fibre link from the observatory building to the VLBI receiver system at the telescope, where photodetection converts them into the required RF-comb and RF-LO signals. In VLBI test observation, we successfully detected VLBI fringes and extracted the RF-combs characteristics in a format suitable for VLBI instrumental phase calibration. These results highlight the high potential of OFC-based technology for enhancing next-generation broadband VLBI measurements, advancing astrophysical research and facilitating intercontinental clock comparison.
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10.646455
3.768662
2025-01-02
0
2025arXiv250105691H
[ "high instrumental phase stability", "VLBI instrumental phase calibration", "higher ranges", "VLBI test observation", "celestial RF signals", "VLBI", "VLBI fringes", "precise phase calibration", "RF-comb signals", "astrophysical research" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics", "Physics - Instrumentation and Detectors", "Physics - Optics" ]
343
[ "10.48550/arXiv.2501.05691" ]
[ "Hyun, Minji", "Ahn, Changmin", "Choi, Junyong", "Baek, Jihoon", "Jeong, Woosong", "Je, Do-Heung", "Byun, Do-Young", "Wagner, Jan", "Heo, Myoung-Sun", "Jung, Taehyun", "Kim, Jungwon" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "2013PASP..125..539H" ]
32552703
2501.05692
Astrophysical Narratives: Poetic Representations of Gamma-Ray Emission from FermiLAT via Markov Chains
The intersection of art and science offers novel ways to interpret and represent complex phenomena. This project explores the convergence of high-energy astrophysics, concrete poetry, and natural language processing (NLP) by proposing a Markov chain-based algorithm that generates poetic texts from gamma-ray emission maps of the universe. Gamma rays, the most energetic form of electromagnetic radiation, arise from violent astrophysical processes such as supernovae, pulsars, and black hole accretion, observable through instruments like the \textit{Fermi Large Area Telescope} (FermiLAT). These high-energy events are mapped and processed into matrices, treated as Markov chains, where each state's transition probability is determined by the intensity of gamma-ray sources in a region of interest.
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7.01486
0.891132
2025-01-02
0
2025arXiv250105692D
[ "Markov chains", "Gamma rays", "black hole accretion", "violent astrophysical processes", "Large Area Telescope", "novel ways", "natural language processing", "electromagnetic radiation", "concrete poetry", "Markov" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Physics - Physics and Society" ]
460
[ "10.48550/arXiv.2501.05692" ]
[ "Darío Badilla Cerdas, Carlos" ]
[ "-" ]
null
[ "2009herb.book.....D", "2011hea..book.....L" ]
32552716
2501.05704
Exoplanet Ephemerides Change Observations (ExoEcho). I. Transit Timing Analysis of Thirty-Seven Exoplanets using HST/WFC3 Data
The ExoEcho project is designed to study the photodynamics of exoplanets by leveraging high-precision transit timing data from ground- and space-based telescopes. Some exoplanets are experiencing orbital decay, and transit timing variation (TTV) is a useful technique to study their orbital period variations. In this study, we have obtained transit middle-time data from the Hubble Space Telescope (HST) observations for 37 short-period exoplanets, most of which are hot Jupiters. To search for potential long- and short-term orbital period variations within the sample, we conduct TTV model fitting using both linear and quadratic ephemeris models. Our analysis identifies two hot Jupiters experiencing strong periodic decays. Given the old age of the host stars of the hot Jupiter population, our findings call for a scenario where HJs are continuously being destructed and created. Our study demonstrates the importance of incorporating high-precision transit timing data to TTV study in the future.
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6.729765
14.305006
2025-01-02
0
2025arXiv250105704M
[ "transit timing variation", "TTV study", "hot Jupiters", "TTV model", "orbital decay", "data", "TTV", "strong periodic decays", "exoplanets", "their orbital period variations" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
277
[ "10.48550/arXiv.2501.05704" ]
[ "Ma, Xinyue", "Wang, Wenqin", "Zhang, Zixin", "Yu, Cong", "Chen, Dichang", "Xie, Jiwei", "Liu, Shangfei", "Zhou, Li", "Ma, Bo" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1978AnSta...6..461S", "1986PASP...98..609H", "1992ApJ...385..621A", "1996Sci...274..954R", "2000A&A...355..581H", "2000A&A...363.1081C", "2000PASP..112..137M", "2002A&A...385.1095P", "2002ApJ...580L.171M", "2005MNRAS.359..567A", "2005Sci...307.1288H", "2006ApJ...640.1051G", "2007ApJ...666L.121T", "2007ApJ...667L.195M", "2007ApJ...670..826B", "2007CSE.....9...90H", "2008A&A...481..529L", "2008ApJ...675L.113W", "2008ApJ...677.1324T", "2008ApJ...686..580C", "2008ApJ...688..636N", "2009A&A...496..259G", "2009A&A...501..785G", "2009AJ....137.3826W", "2009ApJ...691.1145S", "2009ApJ...693.1920H", "2009ApJ...706..785H", "2009Natur.460.1098H", "2010A&A...524A..25T", "2010ApJ...708..224H", "2010ApJ...709..159A", "2010ApJ...710.1724B", "2010ApJ...723L..60H", "2010ApJ...725.2017K", "2010MNRAS.401.1917G", "2010MNRAS.401.2665P", "2011A&A...531A..40F", "2011A&A...535L...7H", "2011AJ....141..179C", "2011AJ....142..115D", "2011ApJ...726...52H", "2011ApJ...728..138H", "2011ApJ...730...10H", "2011ApJ...730L..31H", "2011ApJ...733..127S", "2011ApJ...735..109W", "2011ApJ...742...59H", "2011MNRAS.413.1515H", "2011MNRAS.416.2108A", "2012A&A...539A.159N", "2012A&A...542A...4G", "2012A&A...547A..61S", "2012AJ....143...95L", "2012AJ....144..139H", "2012ApJ...747...82C", "2012ApJ...749..134H", "2012ApJ...754L..36N", "2012MNRAS.423..486L", "2012MNRAS.426..739H", "2012MNRAS.426.1338S", "2012PASJ...64...97S", "2012PASP..124..212S", "2013A&A...551A..80T", "2013A&A...552A...2L", "2013A&A...558A..33A", "2013ApJ...766...95L", "2013ApJ...772L...2D", "2013ApJ...778..184J", "2013ApJ...779L..23P", "2013ApJS..208...16M", "2013ApJS..208...22X", "2013MNRAS.428.2645M", "2013MNRAS.428.3671T", "2013MNRAS.428.3680G", "2013MNRAS.434...46H", "2013MNRAS.434..661C", "2013MNRAS.436....2M", "2013MNRAS.436.2974G", "2013PASP..125..306F", "2014A&A...561A..59Z", "2014A&A...562A.126M", "2014A&A...563A..40C", "2014A&A...563A..41M", "2014A&A...564L..13E", "2014A&A...568A..81L", "2014AJ....147..161S", 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32552319
2501.05725
Expanding molecular shell and possible γ-ray source associated with supernova remnant kesteven 67
We investigate the molecular environment of the supernova remnant (SNR) Kesteven 67 (G18.8+0.3) using observations in <SUP>12</SUP>CO, <SUP>13</SUP>CO, HCO<SUP>+</SUP>, and HCN lines and possible associated γ-ray emission using 16-yr Fermi-LAT observation. We find that the SNR is closely surrounded by a molecular belt in the southeastern boundary, with the both recessed in the band-like molecular gas structure along the Galactic plane. The asymmetric molecular line profiles are widely present in the surrounding gas around local-standard-of-rest velocity +20 km s<SUP>-1</SUP>. The secondary components centered at ~+16 km s<SUP>-1</SUP> in the belt and ~+26 km s<SUP>-1</SUP> in the northern clump can be ascribed to the motion of a wind-blown molecular shell. This explanation is supported by the position-velocity diagram along a line cutting across the remnant, which shows an arc-like pattern, suggesting an expanding gas structure. With the simulation of chemical effects of shock propagation, the abundance ratios N(HCO<SUP>+</SUP>)/N(<SUP>12</SUP>CO) ~2.6 × 10<SUP>-5</SUP>-3.6 × 10<SUP>-4</SUP> obtained in the belt can be more naturally interpreted by the wind-driven bubble shock than by the SNR shock. The belt and northern clump are very likely to be parts of an incomplete molecular shell of bubble driven by O-type progenitor star's wind. The analysis of 0.2-500 GeV γ-ray emission uncovers a possible point source ('Source A') about 6.5σ located in the north of the SNR, which essentially corresponds to northern molecular clump. Our spectral fit of the emission indicates that a hadronic origin is favored by the measured Galactic number ratio between CR electrons and protons ~0.01.
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4.27155
4.983926
2025-01-02
0
2025MNRAS.tmp...20S
[ "northern molecular clump", "northern clump", "HCN lines", "+20 km s", "SNR", "shock propagation", "~+16 km", "The asymmetric molecular line profiles", "CO", "CR electrons" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
194
[ "10.1093/mnras/staf008", "10.48550/arXiv.2501.05725" ]
[ "Shen, Yun-Zhi", "Chen, Yang", "Zhang, Xiao", "Tu, Tian-Yu", "Zhong, Wen-Juan", "Zhang, Qian-Qian", "Liu, Qian-Cheng" ]
[ "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China;", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China; Key Laboratory of Modern Astronomy and Astrophysics, Nanjing University, Ministry of Education, Nanjing 210023, China;", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China; Key Laboratory of Modern Astronomy and Astrophysics, Nanjing University, Ministry of Education, Nanjing 210023, China; School of Physics and Technology, Nanjing Normal University, Nanjing 210023, China", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China;", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China;", "School of Astronomy &amp; Space Science, Nanjing University, Nanjing 210023, China" ]
null
[ "1959sdmm.book.....S", "1973A&A....26..237W", "1975ApJ...200L.107C", "1975AuJPA..37...75C", "1982ApJ...262..590F", "1989ARA&A..27..469B", "1989PASA....8..187M", "1992AJ....103..943K", "1993A&A...279..541V", "1993ARA&A..31..373D", "1995IAUS..163....7V", "1996AJ....111.1304D", "1997AJ....114.2058G", "1998ApJ...508..690F", "1999AJ....118..930D", "1999ApJ...520..737C", "2000A&A...358L..79V", "2000A&AS..143....9W", "2000tcra.book...81S", "2003MNRAS.343..390F", "2004A&A...426..201D", "2005A&A...429..581M", "2006AJ....131.2525H", "2007A&A...474..541T", "2008ApJ...676.1040C", "2008ApJ...683..189H", "2009A&A...501..619P", "2009ApJ...691..516Z", "2009MNRAS.396.1629G", "2010A&A...520A..20G", "2010ApJ...712.1147J", "2010MNRAS.409..371L", "2010PhRvD..82d3002A", "2011A&A...536A..83S", "2011ApJ...727...38S", "2011ApJ...740L...4C", "2011ApJS..194...32A", "2012A&A...547A..60P", "2013ApJ...769L..16C", "2013MNRAS.429.1643N", "2013Sci...339..807A", "2014A&A...568A..41U", "2014A&A...568A..50V", "2014ASTRP...1...13S", "2014ApJ...783..100K", "2014ApJ...790...65E", "2014PhRvD..90l3014K", "2015A&A...580A..51P", "2015ApJ...809..102L", "2015ICRC...34..922Z", "2015PASP..127..266M", "2016ApJ...826...34Z", "2016ApJ...827...41Y", "2017APh....90...75M", "2017ApJ...843..119R", "2017PASJ...69...78U", "2018AJ....155..204R", "2018ApJ...854...87N", "2018ApJ...867....7S", "2019A&A...622A.100G", "2019A&A...627A..75A", "2020ApJS..247...33A", "2021A&A...653A..62C", "2022A&A...658A..28G", "2022ApJ...931..144Z", "2022ApJS..260...53A", "2022MNRAS.515..594M", "2023ApJ...952..107Z", "2023arXiv230712546B", "2024ApJ...966..178T", "2025ApJ...978...83T" ]
32552732
2501.05732
Relativistic magnetohydrodynamics in the early Universe
We review the conservation laws of magnetohydrodynamics (MHD) in an expanding homogeneous and isotropic Universe that can be applied to the study of early Universe physics during the epoch of radiation domination. The conservation laws for a conducting perfect fluid with relativistic bulk velocities in an expanding background are presented, extending previous results that apply in the limit of subrelativistic bulk motion. Furthermore, it is shown that the subrelativistic limit presents new corrections that have not been considered in previous work. Imperfect relativistic fluids are briefly described but their detailed study is not included in this work. We review the propagation of sound waves, Alfvén waves, and magnetosonic waves, as well as the Boris correction for relativistic Alfvén speeds. This review is an extension, including new results, of part of the lectures presented at the minicourse ``Simulations of Early Universe Magnetohydrodynamics'' lectured by A. Roper Pol and J. Schober at EPFL, as part of the six-week program ``Generation, evolution, and observations of cosmological magnetic fields'' at the Bernoulli Center in May 2024.
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8.575761
4.477658
2025-01-02
0
2025arXiv250105732R
[ "early Universe physics", "Early Universe Magnetohydrodynamics", "relativistic bulk velocities", "new corrections", "Imperfect relativistic fluids", "relativistic Alfvén speeds", "new results", "Alfvén waves", "cosmological magnetic fields", "previous results" ]
[ "General Relativity and Quantum Cosmology", "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
331
[ "10.48550/arXiv.2501.05732" ]
[ "Roper Pol, Alberto", "Salvino Midiri, Antonino" ]
[ "-", "-" ]
null
[ "1940PhRv...58..919E", "1968PhRvL..21..562P", "1970mtnu.book.....C", "1972gcpa.book.....W", "1973grav.book.....M", "1976AnPhy.100..310I", "1976PhLA...58..213I", "1977ApJ...211..361L", "1984gere.conf.....W", "1985fcgr.book.....S", "1990eaun.book.....K", "1996PhRvD..54.1291B", "1997PhRvL..79.1193J", "1998PhRvD..57.3264J", "1998PhRvD..58h3502S", "1998clel.book.....J", "2000JHEP...11..001A", "2001PhRvE..64e6405C", "2002JCoPh.177..176G", "2003JCAP...11..010D", "2003PhRvL..91y1301B", "2004PhRvD..70l3003B", "2005AN....326..393C", "2005PhR...417....1B", "2005qtf..book.....W", "2008cmb..book.....D", "2008cosm.book.....W", "2008flme.book.....K", "2010AN....331..110S", "2010IJMPE..19....1R", "2010PhRvD..81l3002K", "2012PhRvD..86j3005K", "2013A&ARv..21...62D", "2013PhRvD..87h3007K", "2013rehy.book.....R", "2015PhRvL.114g5001B", "2016PhyS...91j4008K", "2016RPPh...79g6901S", "2017ApJ...845L..21B", "2017ApJ...846..153R", "2017PhRvD..96l3528B", "2017PhRvL.118e5102B", "2018ApJ...858..124S", "2018MNRAS.481.3401T", "2018arXiv180608166C", "2019sgai.book.....C", "2020GApFD.114..106S", "2020GApFD.114..130R", "2020PhRvD.102h3512R", "2021ApJ...911..110B", "2021CQGra..38n5002B", "2021JCAP...04..035F", "2021PhRvD.104d3513B", "2021RPPh...84g4901V", "2022JCAP...04..019R", "2022PhRvD.105l3502R", "2022PhRvD.106j3536S", "2022cosm.book.....B", "2023NatCo..14.7523H", "2023PhRvD.108f3529B", "2024PhRvD.109d3534B", "2024PhRvD.110d3515S", "2024RPPh...87i4901F" ]
32552750
2501.05739
Dark Energy Survey Year 6 Results: Photometric Data Set for Cosmology
We describe the photometric data set assembled from the full six years of observations by the Dark Energy Survey (DES) in support of static-sky cosmology analyses. DES Y6 Gold is a curated data set derived from DES Data Release 2 (DR2) that incorporates improved measurement, photometric calibration, object classification and value added information. Y6 Gold comprises nearly $5000~{\rm deg}^2$ of $grizY$ imaging in the south Galactic cap and includes 669 million objects with a depth of $i_{AB} \sim 23.4$ mag at S/N $\sim 10$ for extended objects and a top-of-the-atmosphere photometric uniformity $&lt; 2~{\rm mmag}$. Y6 Gold augments DES DR2 with simultaneous fits to multi-epoch photometry for more robust galaxy shapes, colors, and photometric redshift estimates. Y6 Gold features improved morphological star-galaxy classification with efficiency $98.6\%$ and contamination $0.8\%$ for galaxies with $17.5 &lt; i_{AB} &lt; 22.5$. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used for cosmology analyses. After quality selections, benchmark samples contain 448 million galaxies and 120 million stars. This paper will be complemented by online data access and documentation.
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11.752072
3.989172
2025-01-02
0
2025arXiv250105739B
[ "DES Y6 Gold", "DES DR2", "more robust galaxy shapes", "DES Data Release", "Y6 Gold", "online data access", "extended objects", "DES", "photometric redshift estimates", "galaxies" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
541
[ "10.48550/arXiv.2501.05739" ]
[ "Bechtol, K.", "Sevilla-Noarbe, I.", "Drlica-Wagner, A.", "Yanny, B.", "Gruendl, R. A.", "Sheldon, E.", "Rykoff, E. S.", "De Vicente, J.", "Adamow, M.", "Anbajagane, D.", "Becker, M. R.", "Bernstein, G. M.", "Carnero Rosell, A.", "Gschwend, J.", "Gorsuch, M.", "Hartley, W. G.", "Jarvis, M.", "Jeltema, T.", "Kron, R.", "Manning, T. A.", "O'Donnell, J.", "Pieres, A.", "Rodríguez-Monroy, M.", "Sanchez Cid, D.", "Tabbutt, M.", "Toribio San Cipriano, L.", "Tucker, D. L.", "Weaverdyck, N.", "Yamamoto, M.", "Abbott, T. M. C.", "Aguena, M.", "Alarcón, A.", "Allam, S.", "Amon, A.", "Andrade-Oliveira, F.", "Avila, S.", "Bernardinelli, P. H.", "Bertin, E.", "Blazek, J.", "Brooks, D.", "Burke, D. L.", "Carretero, J.", "Castander, F. J.", "Cawthon, R.", "Chang, C.", "Choi, A.", "Conselice, C.", "Costanzi, M.", "Crocce, M.", "da Costa, L. N.", "Davis, T. M.", "Desai, S.", "Diehl, H. T.", "Dodelson, S.", "Doel, P.", "Doux, C.", "Ferté, A.", "Flaugher, B.", "Fosalba, P.", "Frieman, J.", "García-Bellido, J.", "Gatti, M.", "Gaztanaga, E.", "Giannini, G.", "Gruen, D.", "Gutierrez, G.", "Herner, K.", "Hinton, S. R.", "Hollowood, D. L.", "Honscheid, K.", "Huterer, D.", "Jeffrey, N.", "Krause, E.", "Kuehn, K.", "Lahav, O.", "Lee, S.", "Lidman, C.", "Lima, M.", "Lin, H.", "Marshall, J. L.", "Mena-Fernández, J.", "Miquel, R.", "Mohr, J. J.", "Muir, J.", "Myles, J.", "Ogando, R. L. C.", "Palmese, A.", "Plazas Malagón, A. A.", "Porredon, A.", "Prat, J.", "Raveri, M.", "Romer, A. K.", "Roodman, A.", "Samuroff, S.", "Sanchez, E.", "Scarpine, V.", "Smith, M.", "Soares-Santos, M.", "Suchyta, E.", "Tarle, G.", "Troxel, M. A.", "Vikram, V.", "Walker, A. R.", "Weller, J.", "Wiseman, P.", "Zhang, Y." ]
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null
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32552744
2501.05740
$\Lambda$CDM model against redshift-binned data: A mock analysis based on SNIa and Cosmic Chronometers
Despite the broad successes of the flat $\Lambda$CDM model and its fitness to the various cosmological observations, it confronts challenges stemming from anomalies in the measurements of the Hubble constant ($H_0$) and the amplitude of matter fluctuations ($\sigma_8$). These inconsistencies have necessitated a reassessment of the model parameters, with a particular focus on their potential dependence on redshift. This study pioneers a new investigation to probe this redshift dependency by generating mock data simulated from observational data of Type Ia supernovae (SNIa) and cosmic chronometers (CC), thereby increasing the data density in this field. By sorting the data into high-redshift and low-redshift bins, we aim to refine the cosmological constraints on the parameters of the $\Lambda$CDM model and determine whether the noted dependence on redshift is due to a lack of high-redshift observational data or if they signify intrinsic issues within the model itself. Our approach employs the Markov Chain Monte Carlo (MCMC) algorithm to minimize the $\chi^2$ function, thus tightening the cosmological constraints. Our findings within the mock analysis reveal discrepancies between the values of $\Omega_{m0}$ and $H_0$ derived from the mock data bins with high redshift and low redshift, indicating the potential deviation of the standard $\Lambda$ CDM cosmology from the high-redshift SNIa and CC data. If this deviation proposes a new physics beyond the standard model, then with better quality future data tracking the new physics, these discrepancies will be statistically significant.
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11.536539
1.366703
2025-01-02
1
2025arXiv250105740P
[ "mock data", "high redshift", "observational data", "low redshift", "better quality future data", "CC data", "redshift", "high-redshift observational data", "Monte Carlo", "the mock data bins" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
264
[ "10.48550/arXiv.2501.05740" ]
[ "Pourojaghi, Saeed", "Malekjani, Mohammad" ]
[ "-", "-" ]
[ "2025arXiv250108915S" ]
[ "1989RvMP...61....1W", "2002ApJ...573...37J", "2003ApJ...598..720S", "2003RvMP...75..559P", "2005ApJ...633..560E", "2009ApJS..180..330K", "2010JCAP...02..008S", "2010MNRAS.401.2148P", "2011ApJS..192...14J", "2012JCAP...08..006M", "2014RAA....14.1221Z", "2016JCAP...05..014M", "2017MNRAS.467.3239R", "2018ApJ...859..101S", "2020A&A...641A...6P", "2020A&A...642A.150L", "2021CQGra..38o3001D", "2022ApJ...927..164B", "2022ApJ...934L...7R", "2022ApJ...938..113S", "2022JHEAp..34...49A", "2022NewAR..9501659P", "2022PhR...984....1S", "2022PhRvD.105b3520A", "2022PhRvD.106d1301O", "2023A&A...679A..96T", "2023ApJS..265...48J", "2023PDU....4001216O", "2024EPJC...84..317M", "2024MNRAS.528L..20A", "2024PDU....4401464O" ]
32552795
2501.05781
Dark Energy Survey Year 6 Results: Point-Spread Function Modeling
We present the point-spread function (PSF) modeling for weak lensing shear measurement using the full six years of the Dark Energy Survey (DES Y6) data. We review the PSF estimation procedure using the PIFF (PSFs In the Full FOV) software package and describe the key improvements made to PIFF and modeling diagnostics since the DES year three (Y3) analysis: (i) use of external Gaia and infrared photometry catalogs to ensure higher purity of the stellar sample used for model fitting, (ii) addition of color-dependent PSF modeling, the first for any weak lensing analysis, and (iii) inclusion of model diagnostics inspecting fourth-order moments, which can bias weak lensing measurements to a similar degree as second-order modeling errors. Through a comprehensive set of diagnostic tests, we demonstrate the improved accuracy of the Y6 models evident in significantly smaller systematic errors than those of the Y3 analysis, in which all $g$ band data were excluded due to insufficiently accurate PSF models. For the Y6 weak lensing analysis, we include $g$ band photometry data in addition to the $riz$ bands, providing a fourth band for photometric redshift estimation. Looking forward to the next generation of wide-field surveys, we describe several ongoing improvements to PIFF, which will be the default PSF modeling software for weak lensing analyses for the Vera C. Rubin Observatory's Legacy Survey of Space and Time.
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12.150955
3.501084
2025-01-02
0
2025arXiv250105781S
[ "weak lensing analyses", "weak lensing measurements", "modeling diagnostics", "weak lensing shear measurement", "model diagnostics", "modeling", "PSF", "infrared photometry catalogs", "several ongoing improvements", "the Y6 weak lensing analysis" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
416
[ "10.48550/arXiv.2501.05781" ]
[ "Schutt, T.", "Jarvis, M.", "Roodman, A.", "Amon, A.", "Becker, M. R.", "Gruendl, R. A.", "Yamamoto, M.", "Bechtol, K.", "Bernstein, G. M.", "Gatti, M.", "Rykoff, E. S.", "Sheldon, E.", "Troxel, M. A.", "Abbott, T. M. C.", "Aguena, M.", "Andrade-Oliveira, F.", "Brooks, D.", "Carnero Rosell, A.", "Carretero, J.", "Chang, C.", "Choi, A.", "da Costa, L. N.", "Davis, T. M.", "De Vicente, J.", "Desai, S.", "Diehl, H. T.", "Doel, P.", "Ferté, A.", "Frieman, J.", "García-Bellido, J.", "Gaztanaga, E.", "Gruen, D.", "Gutierrez, G.", "Hinton, S. R.", "Hollowood, D. L.", "Honscheid, K.", "Kuehn, K.", "Lahav, O.", "Lee, S.", "Lima, M.", "Marshall, J. L.", "Mena-Fernández, J.", "Miquel, R.", "Mohr, J. J.", "Myles, J.", "Ogando, R. L. C.", "Pieres, A.", "Plazas Malagón, A. A.", "Porredon, A.", "Samuroff, S.", "Sanchez, E.", "Sanchez Cid, D.", "Sevilla-Noarbe, I.", "Smith, M.", "Suchyta, E.", "Tarle, G.", "Vikram, V.", "Walker, A. R.", "Weaverdyck, N." ]
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null
[ "1996A&AS..117..393B", "1998aoat.book.....H", "2003ITED...50..225H", "2003MNRAS.343..459H", "2004MNRAS.352..338J", "2005MNRAS.361.1287M", "2006hca..book.....H", "2008A&A...484...67P", "2008SPIE.7021E..07D", "2010MNRAS.404..350R", "2010SPIE.7742E..06K", "2012PASP..124.1113P", "2013Msngr.154...32E", "2013Msngr.154...35M", "2014PASP..126..750P", "2014SPIE.9154E..1ZK", "2015A&A...575A..41G", "2015AJ....150..150F", "2015ApJ...807..182M", "2015MNRAS.449.2219M", "2015ascl.soft08007J", "2016A&A...595A...1G", "2016MNRAS.460.2245J", "2016SPIE.9906E..68D", "2017PASP..129g4503B", "2018AJ....156..222X", "2018ARA&A..56..393M", "2018MNRAS.479.1491C", "2018MNRAS.481.1149Z", "2018PASP..130f5002M", "2018PASP..130g4501M", "2020JATIS...6a1005P", "2021A&A...645A.104A", "2021A&A...645A.105G", "2021A&A...649A...1G", "2021MNRAS.501.1282J", "2022MNRAS.510.1978Z", "2022PASJ...74..421L", "2022PhRvD.105b3514A", "2022PhRvD.105b3515S", "2023AJ....165..222L", "2023FrASS..1058213L", "2023MNRAS.520.2328Z", "2023MNRAS.525.2441Z", "2023PASP..135k5003E", "2023PhRvD.108l3518L", "2023PhRvD.108l3519D", "2024arXiv240701771A" ]
32552818
2501.05807
The elderly among the oldest: new evidence for extremely metal-poor RR Lyrae stars
We performed a detailed spectroscopic analysis of three extremely metal-poor RR Lyrae stars, exploring uncharted territories at these low metallicities for this class of stars. Using high-resolution spectra acquired with HARPS-N at TNG, UVES at VLT, and PEPSI at LBT, and employing Non-Local Thermodynamic Equilibrium (NLTE) spectral synthesis calculations, we provide abundance measurements for Fe, Al, Mg, Ca, Ti, Mn, and Sr. Our findings indicate that the stars have metallicities of [Fe/H] = -3.40 \pm 0.05, -3.28 \pm 0.02, and -2.77 \pm 0.05 for HD 331986, DO Hya, and BPS CS 30317-056, respectively. Additionally, we derived their kinematic and dynamical properties to gain insights into their origins. Interestingly, the kinematics of one star (HD 331986) is consistent with the Galactic disc, while the others exhibit Galactic halo kinematics, albeit with distinct chemical signatures. We compared the [Al/Fe] and [Mg/Mn] ratios of the current targets with recent literature estimates to determine whether these stars were either accreted or formed in situ, finding that the adopted chemical diagnostics are ineffective at low metallicities ([Fe/H] $\lesssim -$1.5). Finally, the established horizontal branch evolutionary models, indicating that these stars arrive at hotter temperatures on the Zero-Age Horizontal Branch (ZAHB) and then transition into RR Lyrae stars as they evolve, fully support the existence of such low-metallicity RR Lyrae stars. As a consequence, we can anticipate detecting more of them when larger samples of spectra become available from upcoming extensive observational campaigns.
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7.311062
9.214263
2025-01-02
0
2025arXiv250105807D
[ "RR Lyrae stars", "stars", "low metallicities", "such low-metallicity RR Lyrae stars", "Non-Local Thermodynamic Equilibrium", "Fe", "Galactic halo kinematics", "upcoming extensive observational campaigns", "distinct chemical signatures", "larger samples" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - Astrophysics of Galaxies" ]
338
[ "10.48550/arXiv.2501.05807" ]
[ "D'Orazi, Valentina", "Braga, Vittorio F.", "Bono, Giuseppe", "Fabrizio, Michele", "Fiorentino, Giuliana", "Storm, Nicholas", "Pietrinferni, Adriano", "Sneden, Christopher", "Sanchez-Benavente, Manuel", "Monelli, Matteo", "Sestito, Federico", "Jönsson, Henrik", "Buder, Sven", "Bobrick, Alexey", "Iorio, Giuliano", "Matsunaga, Noriyuki", "Marconi, Marcella", "Marengo, Massimo", "Martinez-Vazquez, Clara E.", "Mullen, Joseph", "Takayama, Masaki", "Testa, Vincenzo", "Cusano, Felice", "Crestani, Juliana" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1958RA......5....3B", "1959ApJ...130..507P", "1964ARA&A...2...23P", "1989ApJ...345..245C", "1991ApJ...378..119W", "1995AJ....110.2312L", "1996A&AS..117..393B", "1996AJ....112.2110L", "1998A&AS..129..431H", "2000PASP..112..925S", "2005ARA&A..43..531B", "2006AJ....131.1163S", "2006ASPC..351..112B", "2007A&A...461..261M", "2010AJ....139.1782L", "2011A&A...527A..65H", "2011ApJ...737..103S", "2011ApJS..197...29F", "2011MNRAS.413.2184B", "2011Natur.477...67C", "2011rrls.conf..210W", "2012A&A...541A.143S", "2012A&A...546A..90B", "2012MNRAS.427...27B", "2014AJ....147..136R", "2014ApJ...787....6K", "2014ApJ...797...21P", "2014PASA...31...30K", "2014SPIE.9147E..8CC", "2015A&A...576A..30I", "2015AN....336..324S", "2015ApJ...808...50M", "2015ApJS..216...29B", "2015MNRAS.449.2604D", "2015MNRAS.453..758H", "2017A&A...608A..89M", "2017ApJ...835..187C", "2017ApJ...847...15B", "2017ApJ...848...68S", "2017MNRAS.465...76M", "2018A&A...612A..65B", "2018A&A...615L..15G", "2018A&A...618A.141E", "2018ApJ...856..125H", "2018ApJ...864...57M", "2018RNAAS...2..210D", "2018ascl.soft01009A", "2019A&A...625A...1B", "2019A&A...630L...4M", "2019A&A...631A..80B", "2019AJ....157..153P", "2019ARep...63..203M", "2019ApJ...877..116W", "2019ApJ...881..104M", "2019MNRAS.482.1417B", "2019MNRAS.485.3527S", "2019most.confE...1D", "2020A&A...642A..25F", "2020A&A...643A.164S", "2020MNRAS.493.5195D", "2021AJ....161..147B", "2021ApJ...908...20C", "2021ApJ...908..102P", "2021ApJ...914...10C", "2021ApJ...919...85B", "2021MNRAS.500.1385H", "2021MNRAS.506.1031M", "2021RvMP...93a5002C", "2022A&A...664A.109P", "2022A&A...665A..10L", "2022ApJ...925...10M", "2022ApJ...931..131M", "2022MNRAS.515.4082A", "2023A&A...669A..43G", "2023A&A...674A..18C", "2023A&ARv..31....1A", "2023ApJ...945...83M", "2023ApJ...948...38J", "2023ApJS..267....8A", "2023MNRAS.520.5671H", "2023MNRAS.525.3718S", "2024A&A...683A.136B", "2024A&A...686A.295F", "2024A&A...688A.167N", "2024ApJ...977..278R", "2024MNRAS.52712196B", "2024MNRAS.530.2688J", "2024MNRAS.531..137D", "2024MNRAS.531.4762M", "2024MNRAS.533..889Z", "2024arXiv240913813S", "2024arXiv240919858B" ]
32552837
2501.05834
Census of Ly$\alpha$ Emission from $\sim 600$ Galaxies at $z=5-14$: Evolution of the Ly$\alpha$ Luminosity Function and a Late Sharp Cosmic Reionization
We present the statistical properties of Ly$\alpha$ emission in 586 galaxies at $z=4.5-14.2$, observed by multiple JWST/NIRSpec spectroscopy projects, including JADES, GLASS, CEERS, and GO/DDT programs. We obtain Ly$\alpha$ equivalent width (EW), Ly$\alpha$ escape fraction, and ionizing photon production efficiency measurements or upper limits for these galaxies, and confirm that the Ly$\alpha$ emitting galaxy fraction decreases towards higher redshifts. We derive Ly$\alpha$ luminosity functions from $z\sim 5$ to $z\sim 10-14$ with the observed Ly$\alpha$ EW distributions and galaxy UV luminosity functions, and find a $\sim3$ dex decrease in number density at $L_\mathrm{Ly\alpha}=10^{42}-10^{43}$ erg s$^{-1}$ over the redshift range. We obtain the neutral hydrogen fractions of $x_\mathrm{HI}=0.17_{-0.16}^{+0.23}$, $0.63_{-0.28}^{+0.18}$, $0.79_{-0.21}^{+0.13}$, and $0.88_{-0.13}^{+0.11}$ at $z\sim6$, $7$, $8-9$, and $10-14$, respectively, via comparisons of the reionization models developed by semi-numerical simulations with 21cmFAST explaining the observations of Ly$\alpha$, UV continuum, and Planck electron optical depth. The high $x_\mathrm{HI}$ values over $z\sim 7-14$ suggest a late and sharp reionization, with the primary reionization process occurring at $z\sim 6-7$. Such a late and sharp reionization is not easily explained by either a clumpy inter-galactic medium or sources of reionization in a classical faint-galaxy or a bright-galaxy/AGN scenario, unless a very high escape fraction or AGN duty cycle is assumed at $z\sim 6-7$.
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13.505769
6.349888
2025-01-02
0
2025arXiv250105834K
[ "Ly$\\alpha$ escape fraction", "Ly$\\alpha$ luminosity functions", "Ly$\\alpha$ emission", "Ly$\\alpha$ equivalent width", "Ly$\\alpha$", "UV luminosity functions", "reionization", "the Ly$\\alpha$ emitting galaxy fraction", "semi-numerical simulations", "AGN duty cycle" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
515
[ "10.48550/arXiv.2501.05834" ]
[ "Kageura, Yuta", "Ouchi, Masami", "Nakane, Minami", "Umeda, Hiroya", "Harikane, Yuichi", "Yoshiura, Shintaro", "Nakajima, Kimihiko", "Yajima, Hidenobu", "Thai, Tran Thi" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1965ApJ...142.1633G", "1983ApJ...266..713O", "1986ApJ...303..336G", "1998ApJ...501...15M", "2001AJ....122.2850B", "2001PhR...349..125B", "2002MNRAS.336L..33R", "2006AJ....132..117F", "2006PASJ...58..485T", "2006agna.book.....O", "2007CSE.....9...90H", "2008ApJ...680..829R", "2008ApJS..176..301O", "2010ApJ...723..869O", "2010MNRAS.406.2267F", "2011ApJ...728L...2S", "2011JMLR...12.2825P", "2011MNRAS.411..955M", "2011MNRAS.414.2139D", "2012ApJ...744...83O", "2012ApJ...744..179S", "2012MNRAS.423..862K", "2013A&A...558A..33A", "2013MNRAS.435.3001T", "2013PASP..125..306F", "2014ApJ...797...16K", "2014MNRAS.440..776Y", "2014MNRAS.440.3778J", "2014PASJ...66...63T", "2015A&A...573A..42L", "2015ApJ...813...21M", "2015MNRAS.447..499M", "2015MNRAS.449.4204L", "2015MNRAS.453.1843S", "2016JOSS....1...24F", "2016MNRAS.459.2342M", "2017A&A...608A...6D", "2017ApJ...842L..22Z", "2017ApJ...844...85O", "2017MNRAS.469.1166D", "2017MNRAS.472.2651G", "2018A&A...619A.147P", "2018AJ....156..123A", "2018ApJ...854...73I", "2018ApJ...856....2M", "2018ApJ...864..142D", "2018ApJ...869..150M", "2018PASJ...70...55I", "2018PASJ...70S..13O", "2018PASJ...70S..16K", "2018PhRvD..98d3006C", "2019ApJ...878...12H", "2019MNRAS.485.3947M", "2019MNRAS.485L..24K", "2020A&A...641A...6P", "2020ApJ...892..109N", "2020ApJ...896...23W", "2020ApJ...897L..14Y", "2020ApJ...902..117H", "2020ApJ...904..144J", "2020JOSS....5.2582M", "2020MNRAS.495.3602W", "2020NatMe..17..261V", "2020Natur.585..357H", "2021AJ....162...47B", "2021ApJ...919..120M", "2021ApJ...922..167Z", "2021ApJ...923..229G", "2021MNRAS.508.1853B", "2022ApJ...926..230N", "2022ApJ...932...76Z", "2022ApJ...935..110T", "2022ApJ...935..167A", "2022MNRAS.510.4582N", "2022MNRAS.511.4005K", "2022MNRAS.512.3243S", "2022MNRAS.512.4909G", "2022MNRAS.512.5390G", "2022MNRAS.512.5960M", "2022MNRAS.514...55B", "2022MNRAS.517.3263B", "2022MNRAS.517.5104C", "2023A&A...678A.139T", "2023ApJ...942...59J", "2023ApJ...946L..13F", "2023ApJ...947L..24M", "2023ApJ...949L..40B", "2023ApJ...951L..22A", "2023ApJ...955..115Z", "2023ApJ...956..139I", "2023ApJ...959...39H", "2023ApJS..269...33N", "2023MNRAS.525.4093G", "2023NatAs...7..622C", "2023Natur.622..707A", "2023arXiv230602465E", "2023arXiv231012340E", "2023arXiv231118731S", "2024A&A...688A.106N", "2024A&A...688L..26S", "2024A&A...690A.288B", "2024ApJ...960...56H", "2024ApJ...965..134D", "2024ApJ...967...28N", "2024ApJ...969..162D", "2024ApJ...971...75M", "2024ApJ...971..124U", "2024ApJ...973....8H", "2024ApJ...975..208T", "2024MNRAS.531.2701T", "2024MNRAS.533..676S", "2024MNRAS.533L..49Z", "2024MNRAS.535.2998S", "2024Natur.633..318C", "2024arXiv240406531D", "2024arXiv240618186D", "2024arXiv240618352H", "2024arXiv240816608W", "2024arXiv240915453A", "2024arXiv240920533C", "2024arXiv241114532S", "2024arXiv241115495U", "2024arXiv241119893Y", "2024arXiv241200799Q", "2025MNRAS.536.2355J", "2025MNRAS.536.2839F", "2025MNRAS.538L..16Q" ]
32559345
2501.05843
Black hole-disc coevolution in the presence of magnetic fields: refining the Thorne limit with emission from within the plunging region
The accretion of material onto a black hole modifies the properties of that hole owing to the capture of both matter and radiation. Adding matter to the hole through an accretion disc generally acts to increase the hole's spin parameter, while the capture of radiation generally provides a retarding torque. The balance between the torques provided by adding matter and radiation leads to a maximum spin parameter that can be obtained by a black hole which grows by accretion, known as the Thorne limit. In the simplest theory of thin disc accretion this Thorne limit has the value a<SUB>•, lim</SUB> ≃ 0.998. The purpose of this paper is to highlight that any modification to theories of accretion flows also modify this limiting value, and to compute precisely the modification arising from a particular extension of accretion theory: the inclusion of bright emission from within the plunging region which is sourced from the magnetohydrodynamic stresses ubiquitously observed in simulations. This extra emission further suppresses black hole spin-up and results in new, lower, limits on the final black hole spin. These limits depend on the details of the magnetic stresses acting within the plunging region, but typical values seen in simulations and observations would lower the limit to a<SUB>•, lim</SUB> ≃ 0.99, a subtle but not negligible deviation.
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7.978832
5.001667
2025-01-02
0
2025MNRAS.tmp...50M
[ "accretion theory", "thin disc accretion", "accretion flows", "accretion", "typical values", "black hole spin-up", "the final black hole spin", "bright emission", "theories", "radiation" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "General Relativity and Quantum Cosmology" ]
257
[ "10.1093/mnras/staf060", "10.48550/arXiv.2501.05843" ]
[ "Mummery, Andrew" ]
[ "Oxford Theoretical Physics, Beecroft Building, Clarendon Laboratory, Parks Road, Oxford, OX1 3PU, United Kingdom" ]
null
[ "1970Natur.226...64B", "1972ApJ...178..347B", "1973blho.conf..343N", "1973grav.book.....M", "1974ApJ...191..499P", "1974ApJ...191..507T", "1977MNRAS.179..433B", "1991ApJ...376..214B", "1998A&A...331L...1S", "1999ApJ...515L..73K", "1999ApJ...522L..57G", "2000ApJ...528..161A", "2008ApJ...687L..25S", "2010ApJ...711..959N", "2012ARA&A..50..455F", "2016ApJ...819...48S", "2020MNRAS.498.3302W", "2022MNRAS.514..780W", "2022MNRAS.514.3965D", "2022PhRvL.129p1101M", "2023MNRAS.521.2439M", "2024FrASS..1124796P", "2024MNRAS.531..366M", "2024MNRAS.533L..83M" ]
32552876
2501.05866
Extreme exomoons in WASP-49 Ab: dynamics and detectability
WASP-49Ab, a low-density, Saturn-like planet in a tight orbit around a Sun-like star within a wide binary system, is a compelling candidate for hosting a volcanic moon, as suggested by the detection of Doppler-shifted sodium.This study evaluates the stability of potential satellites around WASP-49Ab under the influence of planetary oblateness, relativistic effects, and perturbations from a close companion star, focusing on their impact on light curve parameters such as transit duration and impact parameter variations, driven by the evolution of the planet's orbit in this extreme environment. Using N-body simulations and semi-analytical methods, we analysed moon's dynamics across varied initial conditions and gravitational frameworks including the potential of an oblate planet and the effects of the general relativity. We find that `selenity', a moon survival indicator, is high in close orbits with low eccentricity, near the Roche limit, especially for masses greater than Io's. Stability decreases as eccentricity or distance from the planet increases. Additionally, We observe a strong destabilising resonance near 1.4 planetary radii when planetary eccentricities are slightly greater than zero. This study confirms the potential for stable exomoons around WASP-49Ab despite its hostile environment, emphasizing the importance of incorporating diverse physical effects in stability analyses, aiding future detection efforts.
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7.769692
15.027517
2025-01-02
0
2025arXiv250105866S
[ "close orbits", "planetary eccentricities", "low eccentricity", "diverse physical effects", "impact parameter variations", "relativistic effects", "semi-analytical methods", "stability analyses", "moon", "light curve parameters" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
354
[ "10.48550/arXiv.2501.05866" ]
[ "Sucerquia, Mario", "Cuello., Nicolás" ]
[ "-", "-" ]
null
[ "1910AN....183..345V", "1962AJ.....67..591K", "1962P&SS....9..719L", "1966Icar....5..375G", "2000A&AS..147..205C", "2002ApJ...575.1087B", "2004ApJ...616.1193B", "2006MNRAS.373.1227D", "2006Natur.441..834C", "2007Icar..191..337S", "2008ApJ...685..543J", "2009MNRAS.392..181K", "2009MNRAS.396.1797K", "2012A&A...537A.128R", "2012A&A...544A..72L", "2015MNRAS.449..828H", "2017A&A...602A..36W", "2017MNRAS.471.3019A", "2018A&A...610A..39H", "2018MNRAS.480.3800H", "2018SciA....4.1784T", "2019ApJ...877L..15K", "2019ApJ...887..261M", "2019MNRAS.489.2313S", "2020A&A...638A..43R", "2020MNRAS.491.2885T", "2020MNRAS.492.3499S", "2021AJ....162...58Q", "2022A&A...657A.103V", "2022MNRAS.512.1032S", "2023A&A...672A..78M", "2024ApJ...973L..53O", "2024arXiv241202847G" ]
32552877
2501.05875
BASSET: Bandpass-Adaptive Single-pulse SEarch Toolkit -- Optimized Sub-Band Pulse Search Strategies for Faint Narrow-Band FRBs
The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. We present a new search algorithm for narrow-band pulses to update the existing standard pipeline, Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET). The BASSET employs a time-frequency correlation analysis to identify and remove the noise involved by the zero-detection frequency band, thereby enhancing the signal-to-noise ratio (SNR) of the pulses. The BASSET algorithm was implemented on the FAST real dataset of FRB 20190520B, resulting in the discovery of additional 79 pulses through reprocessing. The new detection doubles the number of pulses compared to the previously known 75 pulses, bringing the total number of pulses to 154. In conjunction with the pulse calibration and the Markov Chain Monte Carlo (MCMC) simulated injection experiments, this work updates the quantified parameter space of the detection rate. Moreover, a parallel-accelerated version of the BASSET code was provided and evaluated through simulation. BASSET has the capacity of enhancing the detection sensitivity and the SNR of the narrow-band pulses from the existing pipeline, offering high performance and flexible applicability. BASSET not only enhances the completeness of the low-energy narrow-band pulse detection in a more robust mode, but also has the potential to further elucidate the FRB luminosity function at a wider energy scale.
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6.430273
3.233444
2025-01-02
0
2025arXiv250105875C
[ "pulses", "narrow-band pulses", "FRB 20190520B", "BASSET", "fast radio bursts", "the pulse calibration", "additional 79 pulses", "The existing single-pulse search algorithms", "the low-energy narrow-band pulse detection", "Monte Carlo" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics" ]
177
[ "10.48550/arXiv.2501.05875" ]
[ "Cao, J. -H.", "Wang, P.", "Li, D.", "Pan, Q. -H.", "Mao, K.", "Niu, C. -H.", "Zhang, Y. -K.", "Qu, Q. -Y.", "Lu, W. -J.", "Zhang, J. -S.", "Zhu, Y. -H.", "Wang, Y. -D.", "Chen, H. -X.", "Chen, X. -L.", "Gügercinoğlu, E.", "Fang, J. -H.", "Feng, Y.", "Gao, H.", "Huang, Y. -F.", "Li, J.", "Miao, C. -C.", "Tsai, C. -W.", "Yao, J. -M.", "You, S. -P.", "Zhao, R. -S.", "Liu, Q. -Z.", "Weng, S. -M.", "Yew, S. -H.", "Zhang, J.", "Zhang, L.", "Zhou, D. -K.", "Zhu, W. -W." ]
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null
[ "2002ASPC..278..293O", "2011IJMPD..20..989N", "2012ApJ...748...73S", "2013A&A...558A..33A", "2013Sci...341...53T", "2014ApJ...790..101S", "2016MNRAS.460L..30C", "2016Natur.531..202S", "2017ApJ...835...11Z", "2017ApJ...841L..12B", "2017MNRAS.468.3746C", "2018AJ....156..123A", "2018ApJ...863...48C", "2018ApJ...867L..21Z", "2018IMMag..19..112L", "2018Natur.553..182M", "2019A&ARv..27....4P", "2019ARA&A..57..417C", "2019ApJ...877L..19G", "2019ascl.soft06010C", "2020Natur.581..391M", "2020Natur.587...45Z", "2021ApJ...922..115A", "2021ApJ...923....1P", "2021Natur.598..267L", "2021SCPMA..6449501X", "2022MNRAS.509.2209M", "2022Natur.606..873N", "2022Natur.609..685X", "2022RAA....22l4001Z", "2022RAA....22l4002Z", "2022RAA....22l4003J", "2022RAA....22l4004N", "2022arXiv220813677L", "2023ApJ...950...12M", "2023ApJ...955..142Z", "2023RvMP...95c5005Z", "2023Sci...380..599A", "2023Univ....9..330X", "2024A&A...683A.183M", "2024ApJ...960..128K" ]
32558908
2501.05881
Smuggling unnoticed: Towards a 2D view of water and dust delivery to the inner regions of protoplanetary discs
Infrared spectroscopy, e.g., with JWST, provides a glimpse into the chemical inventory of the innermost region of protoplanetary discs, where terrestrial planets eventually form. The chemical make-up of regions inside snowlines is connected to the material drifting from the outer regions, which can be modeled with dust evolution models. However, infrared observations are limited by the high dust extinction in the inner disc, and only probes the abundances of gaseous species in the disc surface layers. As a result, the bulk mass of delivered volatiles is not directly relatable to what is measured through infrared spectra. In this paper, we investigate how the delivery of dust and ice after prolonged pebble drift affects the observable reservoir of water vapor in the inner disc. We develop a 1+1D approach based on dust evolution models to determine the delivery and distribution of vapor compared to the height of the τ = 1 surface in the dust continuum. We find that the observable column density of water vapor at wavelengths probed by JWST spans many orders of magnitude over time, exhibiting different radial profiles depending on dust properties, drift rate, and local processing. In the presence of a traffic-jam effect inside the snowline, the observable vapor reservoir appears constant in time despite the ongoing delivery by pebble drift, such that water is effectively smuggled unnoticed. Differences in measured column densities then originate not only from variations in bulk vapor content, but also from differences in the properties and distribution of dust particles.
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10.580279
12.480695
2025-01-02
0
2025MNRAS.tmp...64H
[ "dust properties", "dust evolution models", "water vapor", "dust", "dust particles", "bulk vapor content", "vapor", "prolonged pebble drift", "pebble drift", "measured column densities" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
305
[ "10.1093/mnras/staf057", "10.48550/arXiv.2501.05881" ]
[ "Houge, Adrien", "Krijt, Sebastiaan", "Banzatti, Andrea", "Blake, Geoffrey A.", "Pinilla, Paola", "Pontoppidan, Klaus M.", "Trapman, Leon", "Williams, Joe", "Zhang, Ke" ]
[ "Department of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK; Center for Star and Planet Formation, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, DK-1350 Copenhagen, Denmark;", "Department of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK;", "Department of Physics, Texas State University, 749 North Comanche Street, San Marcos, TX 78666, USA", "Division of Geological and Planetary Sciences, California Institute of Technology, MC 150-21, 1200 E California Boulevard, Pasadena, CA 91125, USA", "Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK", "Jet Propulsion Laboratory, California Institute of Technology, 4800 Oak Grove Drive, Pasadena, CA 91109, USA; Division of Geological and Planetary Sciences, California Institute of Technology, MC 150-21, 1200 E California Boulevard, Pasadena, CA 91125, USA", "Department of Astronomy, University of Wisconsin-Madison, Madison, WI 53706, USA", "Department of Physics and Astronomy, University of Exeter, Exeter, EX4 4QL, UK", "Department of Astronomy, University of Wisconsin-Madison, Madison, WI 53706, USA" ]
null
[ "1973A&A....24..337S", "1974MNRAS.168..603L", "1977ApJ...217..425M", "1995Icar..114..237D", "1996A&A...311..291H", "1997ApJ...480..647D", "1997Icar..129..539S", "2003A&A...399..773D", "2003ARA&A..41..241D", "2004ApJ...614..490C", "2008ApJ...676L..49S", "2008Sci...319.1504C", "2009A&A...501..383W", "2009A&A...503L...5B", "2009ApJ...696..143P", "2009Icar..200..655C", "2010ApJ...720..887P", "2011A&A...525A..11B", "2011A&A...534A..73Z", "2011ApJ...731..130S", "2011ApJ...733..102C", "2011ApJS..196...25S", "2011Icar..212..416M", "2012A&A...538A.114P", "2012A&A...539A.148B", "2012A&A...541A..91B", "2012ApJ...747...92M", "2013A&A...559A..46B", "2013ApJ...766..134N", "2013ApJ...779..178P", "2014ApJ...788...59W", "2014prpl.conf..363P", "2015A&A...582A..88W", "2015ApJ...798...34G", "2015ApJ...815L..15B", "2016A&A...585A..35P", "2016ApJ...822..111K", "2016Natur.530...63P", "2016SSRv..205...41B", "2017A&A...600A.140S", "2017A&A...605A..16F", "2017ApJ...834..152B", "2017ApJ...845...68P", "2017MNRAS.469.3994B", "2018ApJ...864...78K", "2018ApJ...869L..45B", "2018MNRAS.479.1273G", "2019ApJ...873...58M", "2019ApJ...874...24S", "2019MNRAS.487.3998B", "2020A&A...638A.156A", "2020ApJ...899..134K", "2020ApJ...903..124B", "2021A&A...645A..70P", "2021A&A...647A..15D", "2021A&A...654A..71S", "2021ApJ...921...84K", "2021MNRAS.507..818T", "2022A&A...668A.164W", "2022ApJ...927..206V", "2022ApJ...935...35S", "2023A&A...673A.139A", "2023AJ....165...72B", "2023ApJ...944L..53B", "2023ApJ...947L...6G", "2023ApJ...949..119K", "2023ApJ...954...66K", "2023ApJ...957L..22B", "2023ApJ...958L..30R", "2023ApJ...959L..25X", "2023NatAs...7..805T", "2023Natur.620..516P", "2024A&A...682A..32J", "2024A&A...683A.219W", "2024A&A...686A.135P", "2024A&A...687A.209K", "2024A&A...689A..85G", "2024A&A...689A.330T", "2024ApJ...963..158P", "2024ApJ...975...78R", "2024ApJ...977...21E", "2024MNRAS.527.9668H", "2024MNRAS.529.1524R", "2024arXiv240916255B", "2024arXiv241201895S" ]
32552893
2501.05883
Characterisation of H$\beta$ spectra from EXO 051910+3737.7 X-rays binaries
We investigate the spectral characteristics of the Be/X-ray binary system, EXO 051910+3737.7, in which Be/X-ray systems are the largest sub-class of high-mass X-ray binaries. Spectroscopic observations are taken by the Thai National Telescope (TNT) with a Medium-RESolution spectrograph (MRES) instrument for seven nights spanning from 2020 to 2021. Our primary focus is directed towards the analysis of two Balmer lines, namely H$\alpha$ and H$\beta$, given that Be stars typically exhibit emission features in at least one of these hydrogen Balmer lines during certain phases. Our observations reveal split Balmer emission lines throughout the entire duration of our monitoring. Double Gaussian profiles were employed for line fitting to characterize these lines. The presence of double peaks in the Balmer lines indicates the presence of asymmetries within the circumstellar disc. We then analyze V/R variations and the changes in H$\beta$ spectra. Our analysis of V/R variation which Violet (V) and Red (R) peak intensity components, revealed rapid fluctuations occurring within a single day, although determining the precise periodicity was constrained by instrumental limitations and the duration of observability. Furthermore, employing observed the wavelength differences ($\Delta\lambda$) in conjunction with typical Be star parameters allowed us to estimate the radius ($r_{\beta}$) of the H$\beta$ emitting envelope. The average value was calculated to be 2.585$r_*$, with a standard deviation of 0.050$r_*$.
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6.013206
6.272609
2025-01-02
0
2025arXiv250105883N
[ "Balmer emission lines", "line", "Balmer", "typical Be star parameters", "H$\\beta$ spectra", "-", "double peaks", "emission features", "these hydrogen Balmer lines", "high-mass X-ray binaries" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - High Energy Astrophysical Phenomena" ]
178
[ "10.48550/arXiv.2501.05883" ]
[ "Nuchvanichakul, Pornisara", "Irawati, Puji", "Rittipruk, Pakakaew", "Gandhi, Poshak", "Knigge, Christian", "Charles, Phil", "Wannawichian, Suwicha" ]
[ "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1986A&AS...63...87D", "2015A&ARv..23....2W", "2022yCat.1355....0G" ]
32552888
2501.05886
Estimating variability power spectra of active galaxies from irregular time series
A common feature of Active Galactic Nuclei (AGN) is their random variations in brightness across the whole emission spectrum, from radio to $\gamma$-rays. Studying the nature and origin of these fluctuations is critical to characterising the underlying variability process of the accretion flow that powers AGN. Random timing fluctuations are often studied with the power spectrum; this quantifies how the amplitude of variations is distributed over temporal frequencies. Red noise variability -- when the power spectrum increases smoothly towards low frequencies -- is ubiquitous in AGN. The commonly used Fourier analysis methods, have significant challenges when applied to arbitrarily sampled light curves of red noise variability. Several time-domain methods exist to infer the power spectral shape in the case of irregular sampling but they suffer from biases which can be difficult to mitigate, or are computationally expensive. In this paper, we demonstrate a method infer the shape of broad-band power spectra for irregular time series, using a Gaussian process regression method scalable to large datasets. The power spectrum is modelled as a power-law model with one or two bends with flexible slopes. The method is fully Bayesian and we demonstrate its utility using simulated light curves. Finally, Ark 564, a well-known variable Seyfert 1 galaxy, is used as a test case and we find consistent results with the literature using independent X-ray data from XMM-Newton and Swift. We provide publicly available, documented and tested implementations in Python and Julia.
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16.206535
7.051583
2025-01-02
0
2025arXiv250105886L
[ "Red noise variability", "red noise variability", "irregular time series", "independent X-ray data", "Random timing fluctuations", "simulated light curves", "irregular sampling", "light curves", "Active Galactic Nuclei", "low frequencies" ]
[ "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
318
[ "10.48550/arXiv.2501.05886" ]
[ "Lefkir, Mehdy", "Vaughan, Simon", "Huppenkothen, Daniela", "Uttley, Phil", "Anilkumar, Vysakh" ]
[ "-", "-", "-", "-", "-" ]
null
[ "1939thpr.book.....J", "1978ComAp...7..103P", "1981ApJS...45....1S", "1981MNRAS.194..987M", "1984ARA&A..22..471R", "1989ASIC..262...27V", "1993MNRAS.261..612P", "1995A&A...300..707T", "1999ApJ...514..682E", "2001A&A...365L...1J", "2001A&A...365L..18S", "2001MNRAS.323L..26U", "2002MNRAS.332..231U", "2003ApJ...593...96M", "2003ApJ...598..935M", "2003MNRAS.345.1271V", "2004AIPC..735..395S", "2004ASPC..314..759G", "2004ApJ...611.1005G", "2004MNRAS.348..783M", "2005MNRAS.359..345U", "2005MNRAS.363..586U", "2005SSRv..120..165B", "2006MNRAS.367..801A", "2006Natur.444..730M", "2006csxs.book..157M", "2006gpml.book.....R", "2007A&A...469..379E", "2007CSE.....9...90H", "2007MNRAS.378..649S", "2007MNRAS.382..985M", "2009ApJ...698..895K", "2009ApJ...700..243M", "2009MNRAS.397.1177E", "2010MNRAS.402..307V", "2010MNRAS.403..196M", "2011arXiv1111.4246H", "2012A&A...544A..80G", "2012ARA&A..50..455F", "2013ApJ...765..106Z", "2013ApJ...777...24Z", "2014ApJ...788...33K", "2014ApJ...795....2E", "2016JOSS....1...24F", "2016MNRAS.459.2787K", "2016MNRAS.461.3145V", "2016S&C....26..383B", "2017A&ARv..25....2P", "2017AJ....154..220F", "2017arXiv170102434B", "2017pbi..book.....B", "2018arXiv180106147T", "2018arXiv180406788T", "2019ApJ...873..111I", "2019ApJ...875L...1E", "2019ApJ...881...39H", "2019JOSS....4.1143K", "2019JOSS....4.1393H", "2019MNRAS.489.1957W", "2019MNRAS.490.2262E", "2019PASP..131j8005B", "2020A&A...638A..95D", "2020ApJ...895...90S", "2020Natur.585..357H", "2020arXiv200804733Z", "2020arXiv201101808G", "2021ApJ...919...58Z", "2021arXiv210310522S", "2022ApJ...930L..12E", "2022arXiv220907954B", "2023ARA&A..61..329A", "2023ApJ...946...52Z", "2023NatAs...7.1282R", "2023StSur..17..169B" ]
32552928
2501.05913
Dust processing in the terrestrial planet-forming region of the PDS 70 disk
Dust grains in protoplanetary disks are the building blocks of planets. Investigating the dust composition and size, and their variation over time, is crucial for understanding the planet formation process. The PDS 70 disk is so far the only protoplanetary disk with concrete evidence for the presence of young planets. Mid-infrared spectra were obtained for PDS 70 by the Infrared Spectrograph (IRS) on the Spitzer Space Telescope (SST) and the Mid-Infrared Instrument (MIRI) on the James Webb Space Telescope (JWST) in 2007 and 2022, respectively. In this work, we investigate the dust mineralogy through a detailed decomposition of the observed mid-infrared spectra. The results show that both the dust size and crystallinity increased by a factor of about two during the two epochs of observation, indicating evident dust processing in the terrestrial planet-forming region of the PDS 70 disk. The dust size (~0.8 micron) and crystallinity (~6%) in the PDS 70 disk are similar to those of other disks, which implies that the two nascent planets, PDS 70b and PDS 70c located at radial distances of ~22AU and ~34AU, do not have a significant impact on the dust processing in the inner disk. The flux densities at wavelengths longer than ~16 micron measured by JWST/MIRI are only ~60% of those obtained by Spitzer/IRS. Based on self-consistent radiative transfer modeling, we found that such a strong variability in mid-infrared fluxes can be produced by adjustments to the dust density distribution and structure of the inner disk probably induced by planet-disk interaction.
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9.447645
12.9604
2025-01-02
0
2025arXiv250105913L
[ "evident dust processing", "Dust grains", "protoplanetary disks", "mid-infrared fluxes", "other disks", "Mid-infrared spectra", "young planets", "PDS 70b", "planets", "PDS" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
301
[ "10.48550/arXiv.2501.05913" ]
[ "Liu, Yao", "Li, Dafa", "Wang, Hongchi", "Feng, Haoran", "Fang, Min", "Du, Fujun", "Henning, Thomas", "Perotti, Giulia" ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1977ApJ...217..425M", "1987ARA&A..25...23S", "1993ApJ...407..806C", "1995A&A...300..503D", "1995ApJS..101..309C", "1995Icar..114..237D", "1996MNRAS.282.1321Z", "1997ApJ...480..647D", "1997ApJ...490..368C", "2000A&A...364..282F", "2001ApJ...560..957D", "2002A&A...382..241M", "2002ApJ...565L.109H", "2002MNRAS.336..197G", "2003A&A...408..193J", "2003ApJ...588..373W", "2004A&A...421.1075D", "2005A&A...432..909M", "2005A&A...437..189V", "2005A&A...441..563V", "2005ApJ...620..459Y", "2005Sci...310..834A", "2006A&A...451..357S", "2006ApJ...638..314D", "2007A&A...462..667M", "2007ApJ...659.1637S", "2007Natur.448.1022J", "2008ApJ...683..479B", "2008MNRAS.384..449F", "2009ApJ...695.1024J", "2009ApJ...704L..15M", "2009ApJS..180...84W", "2009Natur.459..224A", "2010ApJ...721..431J", "2011ApJ...728...49E", "2012A&A...539A.148B", "2012A&A...546A...7L", "2012ApJ...748...71F", "2012ApJ...758L..19H", "2012ApJ...760..111D", "2013ApJ...771..129A", "2013ApJS..207...30W", "2013ChRv..113.9016H", "2013PASP..125..306F", "2014A&A...564A.125B", "2014A&A...570A.118F", "2015ApJ...798L..44M", "2016ApJ...828...46A", "2016ApJ...833..104F", "2017AJ....153..240A", "2018A&A...617A..44K", "2018A&A...617L...2M", "2018A&A...619A.171B", "2018ApJ...869L..50P", "2019A&A...625A.118K", "2019A&A...631L...2M", "2019A&A...632A..25M", "2019ApJ...879L..25I", "2019MNRAS.487..691P", "2019NatAs...3..749H", "2019PASP..131f4301W", "2020ApJ...895L..18B", "2020MNRAS.492..572A", "2021AJ....162...99F", "2021ApJ...916L...2B", "2022ApJ...938..134S", "2022SCPMA..6569511L", "2023A&A...674A...1G", "2023A&A...675A.111A", "2023A&A...677A..76P", "2023NatAs...7..905F", "2023Natur.620..516P", "2024A&A...685L...1C", "2024A&A...686A.135P", "2024A&A...687A.209K", "2024A&A...687A.275J", "2024A&A...690A.100K", "2024A&A...691A.148J", "2024ARA&A..62..157B", "2024ApJ...966..167G", "2024ApJ...970..137G", "2024ApJ...972..163L", "2024ApJ...974L..25D", "2024MNRAS.534.2412P", "2024PASP..136e4302H" ]
32601483
2501.05916
Potential-density pairs for Galaxy discs with exponential or sech 2 vertical profile
We present axially symmetric analytical potential-density pairs with surface density similar to the Miyamoto-Nagai model, but with more realistic vertical structure. Our models closely approximate an exponential, a sech 2, or a cored exponential vertical density profile. The latter profile has a density core of adjustable width, which provides more flexibility when modelling galaxy discs.
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9.887107
5.579118
2025-01-02
0
2025OJAp....8E...5D
[ "surface density", "more flexibility", "a cored exponential vertical density profile", "adjustable width", "galaxy discs", "axially symmetric analytical potential-density pairs", "a density core", "more realistic vertical structure", "the Miyamoto-Nagai model", "The latter profile" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
236
[ "10.33232/001c.128290", "10.48550/arXiv.2501.05916" ]
[ "Dehnen, Walter", "Jafaritabar, Shera" ]
[ "Heidelberg University", "Heidelberg University" ]
null
[ "1911MNRAS..71..460P", "1942ApJ....95..329S", "1963ApJ...138..385T", "1975PASJ...27..533M", "1976PASJ...28....1N", "1992ApJ...397...44L", "1995MNRAS.277.1341K", "1996MNRAS.279..240C", "1998MNRAS.294..429D", "2008ApJ...673..864J", "2008gady.book.....B", "2009AJ....137.4149F", "2014MNRAS.443....2E", "2015MNRAS.448.2934S", "2016MNRAS.459.3349R", "2018MNRAS.479.4720D", "2018MNRAS.481.1501B", "2018Natur.561..360A", "2020MNRAS.499.2523S", "2021MNRAS.507.5246M", "2023MNRAS.518.2651D" ]
32601052
2501.05924
Comparing radial migration in dark matter and MOND regimes
Context. Multiple studies on radial migration in disc galaxies have proven the importance of the effect of resonances with non- axisymmetric components on the evolution of galactic discs. However, the dynamical effects of classic Newtonian dynamics with dark matter (DM) differ from MOdified Newtonian Dynamics (MOND) and might trigger different radial migration. A thorough analysis of radial migration considering these two gravitational regimes might shed some light on different predictions of DM and MOND theories. Aims. We aim to quantitatively and qualitatively compare the effects of resonances and stellar radial migration (churning) in a Milky Way-like (MW-like) galaxy in the DM and MOND regimes. We performed numerical simulations of a MW-like galaxy to analyse the effect of non-axisymmetric structures (galactic bar and spiral arms) considering various parameters of the spiral structure. Methods. We conducted a two-dimensional numerical simulation consisting of the integration of 2 · 10<SUP>6</SUP> stars in a static rotating galactic potential for 6 Gyr. We analysed the changes in the stellar disc caused by stellar radial migration. To study the effects of radial migration and resonances in detail, we analysed the change in the star's position, the guiding radius, as well as the frequency phase space. We investigated DM and MOND approaches. Results. The outcome of the simulation shows that the radial migration is much more pronounced in the MOND regime compared to the DM one. Increasing both the spiral amplitude and the spiral pattern speed results in more prominent radial migration. Compared to the DM approach, in the MOND regime, we observe up to five times as many stars with a maximum change in the guiding radius of more than 1.5 kpc during the time interval from 2–6 Gyr. Increasing the amplitude of the spiral structure amplifies this effect. On the other hand, increasing the spiral pattern speed reduces the difference between DM and MOND. Analysis of the frequency phase space reveals that the most prominent resonances in all DM and MOND configurations are the co-rotation resonance with the spiral arms (m = p = 1), outer Lindblad resonance with the galactic bar and spiral arms, and the co-rotation resonance (m = 2, p = 1) with the superposition of the galactic bar and spiral arms, 2Ω = Ω<SUB>b</SUB> + Ω<SUB>sp</SUB>.
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9.970365
7.357238
2025-01-02
0
2025A&A...693A.216N
[ "radial migration", "stellar radial migration", "different radial migration", "spiral arms", "galactic bar", "outer Lindblad resonance", "resonances", "galactic discs", "DM", "disc galaxies" ]
[ "Galaxy: disk", "Galaxy: kinematics and dynamics", "Galaxy: structure", "Astrophysics - Astrophysics of Galaxies" ]
247
[ "10.1051/0004-6361/202452112", "10.48550/arXiv.2501.05924" ]
[ "Nagy, R.", "Janák, F.", "Šturc, M.", "Jurčík, M.", "Puha, E." ]
[ "Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48, Bratislava, Slovakia;", "Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48, Bratislava, Slovakia;", "Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48, Bratislava, Slovakia;", "Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48, Bratislava, Slovakia; Astros Solutions s. r. o., Nad Lúčkami 35, 841 04, Bratislava, Slovakia", "Faculty of Mathematics, Physics, and Informatics, Comenius University, Mlynská dolina, 842 48, Bratislava, Slovakia" ]
null
[ "1979ApJ...233...67R", "1986A&A...155...11C", "1996ApJ...462..563N", "1998ApJ...492..495F", "2002MNRAS.336..785S", "2005AJ....130..576Q", "2007MNRAS.379.1155C", "2008ApJ...675L..65R", "2008ApJ...683L.103B", "2008ApJ...684L..79R", "2008MNRAS.388.1175H", "2009MNRAS.396..203S", "2009MNRAS.397.1599Q", "2009MNRAS.399.1145S", "2010ApJ...722..112M", "2011A&A...527A.147M", "2011A&A...534A..75B", "2011ApJ...737....8L", "2011MNRAS.414.1607L", "2011MNRAS.418.1423A", "2012A&A...548A.127M", "2012ApJ...752...97Y", "2012MNRAS.422.1363S", "2012MNRAS.427..358K", "2013A&A...553A.102D", "2013ApJ...769....4W", "2013MNRAS.433..976R", "2013MNRAS.436.1479K", "2014A&A...572A..92M", "2014ApJ...794..173V", "2015A&A...578A..58H", "2015A&A...580A.126K", "2015MNRAS.446..823M", "2015MNRAS.447.3576D", "2016AJ....152..157L", "2016ARA&A..54..667S", "2016ApJ...818L...6L", "2016MNRAS.459..199G", "2016PhRvL.117t1101M", "2017A&A...600A..70A", "2017A&A...604A...4R", "2017MNRAS.465...76M", "2018A&A...616A..86H", "2018ApJ...865...96F", "2019A&A...621A..48L", "2019ApJ...871..120E", "2019ApJ...882..111D", "2019MNRAS.490.4740B", "2019arXiv190404074K", "2020ApJ...896...15F", "2020MNRAS.493.1419F", "2020MNRAS.495.2673C", "2021ApJ...919...52Z", "2021MNRAS.500.2645T", "2021MNRAS.504.5919M", "2022MNRAS.509..844T", "2022MNRAS.511.5639L", "2022MNRAS.514.5085O", "2023A&A...679A.122V", "2023MNRAS.523..991G", "2024MNRAS.531.1422D", "2024MNRAS.531.1520M", "2024MNRAS.531L..14L", "2024MNRAS.533..538L", "2024MNRAS.535..392L" ]
32552954
2501.05944
Modeling the Saddle-like GeV-TeV Spectrum of HESS J1809-193: $\gamma$-Rays Arising from Reverse-Shocked Pulsar Wind Nebula?
Evolution of pulsar wind nebulae (PWNe) could be expected to leave imprints in $\gamma$-rays. We suggest that intriguing GeV-TeV spectral energy distribution (SED) of HESS J1809$-$193 and Fermi-LAT source J1810.3$-$1925e is very likely to be the $\gamma$-ray signature of PWN J1809$-$193 in light of the scenario that the PWN was struck by the reverse shock of the parent supernova remnant. Based on evolutionary theory of PWNe, we consider that, when the PWN was disrupted during collision by the reverse shock, some very high-energy electrons escaped impulsively. The remaining electrons stayed in the relic PWN, which was displaced from the pulsar. The very high-energy part of the remaining electrons were depleted by the strong magnetic field that was enhanced by the reverse shock compression in the reverberation stage, leaving the other part of them generating GeV emission. The particles injected from the pulsar after the disruption enter the relic PWN through the newly formed tunnel called the cocoon. The $\gamma$-ray emission from the escaped electrons can account for the TeV spectrum of component A of HESS J1809$-$193 or the TeV halo, while the electrons remaining after disruption can account for the GeV spectrum of J1810.3$-$1925e. Thus, combination of contributions from these two populations of electrons naturally reproduces the saddle-like SED of HESS J1809$-$193 and J1810.3$-$1925e from 5 GeV to 30 TeV, together with the spectral hardening around 100 GeV. We also show that the post-disruption injection of electrons can explain the spectrum of the relatively faint $\gamma$-ray emission of component B of HESS J1809$-$193.
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4.894855
4.686292
2025-01-02
0
2025arXiv250105944S
[ "PWN J1809$-$193", "HESS J1809$-$193", "electrons", "PWN", "TeV", "HESS", "pulsar wind nebulae", "\\gamma$-rays", "GeV emission", "GeV-TeV spectral energy distribution" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
243
[ "10.48550/arXiv.2501.05944" ]
[ "Sun, Jiaxu", "Chen, Yang", "Bao, Yiwei", "Zhang, Xiao", "Zhou, Xin" ]
[ "-", "-", "-", "-", "-" ]
null
[ "1958RvMP...30.1077S", "1970RvMP...42..237B", "1995PhRvD..52.3265A", "1999ApJS..120..299T", "2004BASI...32..335G", "2005AJ....129.1993M", "2006ARA&A..44...17G", "2006NRAON.108....4B", "2007A&A...472..489A", "2007ApJ...670..655K", "2007whsn.conf...40V", "2008AIPC.1085..285R", "2008ICRC....2..815K", "2010ApJ...715.1248T", "2010MNRAS.408L..80L", "2010PASJ...62..179A", "2011ApJ...743L...7H", "2011MNRAS.410..381B", "2015ApJ...808..100T", "2016A&A...587A..71C", "2016ApJ...818..122A", "2017MNRAS.470.2539P", "2017Sci...358..911A", "2018A&A...617A..78T", "2018ApJ...859...69A", "2018ApJ...865...86S", "2018ApJ...868..119K", "2019ApJ...877...54B", "2019ApJ...881..148B", "2019PASA...36...14V", "2020ApJ...901..157K", "2020MNRAS.499.2051B", "2020PhRvL.124b1102A", "2022ApJ...931...67M", "2022ApJ...939...70D", "2023A&A...670A...8M", "2023A&A...672A.103H", "2023ApJ...949...90L", "2023ApJ...950..177K", "2023MNRAS.520.2451B", "2024A&A...684L...1O", "2024A&A...690A.116M", "2024ApJ...961...61B", "2024ApJ...972...21A" ]
32552980
2501.05978
The CIELO Project: The Chemo-dynamical properties of gaLaxies and the cosmic web
The CIELO project introduces a novel set of chemo-dynamical zoom-in simulations designed to simultaneously resolve galaxies and their nearby environments. The initial conditions include a diverse range of cosmic structures, such as local groups, filaments, voids, and walls, allowing for a detailed exploration of galaxies within the broader context of the cosmic web. This study presents the initial conditions and characterizes the global properties of CIELO galaxies and their environments. It focuses on galaxies with stellar masses ranging from log [8,11] solar masses and examines key scaling relations, including the mass-size relation, the Tully-Fisher relation, and the mass-metallicity relation for both stars and star-forming gas. The DisPerSe algorithm was used to determine the positions of CIELO galaxies within the cosmic web, with a specific focus on the Pehuen haloes. The selection of local group volumes was guided by criteria based on the relative positions and velocities of the two primary galaxies. The Pehuen regions were chosen to map walls, filaments, and voids. Synthetic images in the SDSS i, r, and g bands were generated using the SKIRT radiative transfer code. Additionally, a dynamical decomposition was performed to classify galaxy morphologies into bulge, disc, and stellar halo components (abridged).
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11.794948
4.569341
2025-01-02
0
2025arXiv250105978T
[ "CIELO galaxies", "galaxy morphologies", "galaxies", "key scaling relations", "local group volumes", "stellar halo components", "stellar masses", "cosmic structures", "local groups", "CIELO" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
285
[ "10.48550/arXiv.2501.05978" ]
[ "Tissera, Patricia", "Bignone, Lucas", "Gonzalez-Jara, Jenny", "Muñoz, Ignacio", "Cataldi, Pedro", "Miranda, Valentina", "Barrientos-Acevedo, Daniela", "Tapia-Contrera, Brian", "Pedrosa, Susana", "Padilla, Nelson", "Dominguez-Tenreiro, Rosa", "Casanueva-Villareal, Catalina", "Sillero, Emanuel", "Silva-Mella, Benjamin", "Shailesh, Isha", "Jara-Ferreira, Francisco" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1977A&A....54..661T", "1978MNRAS.183..341W", "1979MNRAS.186..503T", "1980ApJ...236..351D", "1985ApJ...292..371D", "1986A&A...154..279M", "1986ApJ...303...39D", "1991ApJ...379...52W", "1995ApJS..101..181W", "1996A&A...315..105R", "1998MNRAS.295..319M", "1999ApJS..125..439I", "2000A&A...363L..29S", "2001MNRAS.323..529H", "2001MNRAS.325...34M", "2001MNRAS.328..726S", "2002MNRAS.330..821L", "2003ApJ...586L.133C", "2003MNRAS.344.1000B", "2004ApJ...613..898T", "2005MNRAS.362...41G", "2005MNRAS.364..552S", "2005Natur.433..604D", "2006MNRAS.371.1125S", "2007MNRAS.376.1465K", "2008ApJ...672L.107E", "2008MNRAS.389.1137S", "2009ARA&A..47..481A", "2009ApJS..182..608K", "2009LNP...665..291V", "2009MNRAS.399..497D", "2010MNRAS.404.1111G", "2011ApJS..196...22B", "2011MNRAS.410.1660D", "2011MNRAS.415.2101H", "2011MNRAS.417..580P", "2012ApJ...746..108T", "2012MNRAS.419.2133H", "2012MNRAS.420..255T", "2013A&A...553A.102D", "2013A&A...554A..58S", "2013ApJ...762..109B", "2013MNRAS.429.1258D", "2013MNRAS.432.1862C", "2013MNRAS.436.3031V", "2013arXiv1302.6221S", "2014A&A...571A..16P", "2014ApJ...788...28V", "2014MNRAS.445..581H", "2015A&A...580A..87C", "2015A&A...584A..43P", "2015ApJ...810..137J", "2015MNRAS.453..960M", "2015MNRAS.454.2092O", "2016A&A...587A..70S", "2016A&A...592A..93T", "2016MNRAS.456.2982T", "2016MNRAS.457.2605C", "2017A&A...602A..46J", "2017MNRAS.467.2430M", "2017MNRAS.468.4170M", "2017MNRAS.469..151B", "2017MNRAS.472.2356M", "2017MNRAS.472.4404S", "2018ApJ...859....2L", "2018ApJ...859...11S", "2018MNRAS.478.3447E", "2018MNRAS.481..835O", "2018NatAs...2..483V", "2019A&ARv..27....3M", "2019MNRAS.484.2166S", "2019MNRAS.485.1320M", "2019MNRAS.486.2827D", "2019MNRAS.490.3196P", "2020A&A...641A.173G", "2020A&A...642A..19M", "2020A&C....3100381C", "2020MNRAS.495.2827C", "2021A&ARv..29....5M", "2021ApJ...923...28F", "2021MNRAS.506.5703K", "2021MNRAS.508.4844N", "2022MNRAS.511.1667T", "2022MNRAS.514.6157R", "2022NatAs...6..897S", "2023A&A...680A.111D", "2023ApJ...946...99C", "2023ApJ...954..115K", "2023ApJS..269...33N", "2023MNRAS.519.1149B", "2023MNRAS.523.1919C", "2023MNRAS.524..907B", "2024A&A...684A..75C", "2024A&A...688A.183C", "2024A&A...691A..19V", "2024MNRAS.530.1369J", "2024MNRAS.531..290M", "2024MNRAS.532.1814G", "2024MNRAS.532.3417W", "2024MNRAS.532L..14B", "2024MNRAS.534.1682O" ]
32552992
2501.05993
Fast Multi-tone Phase Calibration Signal Extraction
This paper discusses a fast algorithm for analyzing the phases of a multi-tone phase calibration signal. The multi-tone method is superior to its single-tone counterpart. The PCal signal is a wide-band frequency comb derived from an ultra-stable frequency standard which is then coupled into the input stage of the radio astronomy receiver chain. The frequency comb allows to determine the signal delay, frequency response and phase shifts induced by the radio telescope instrumentation. The instrumentation delay is one of the several delay components that have to be compensated for in multi-telescope aperture synthesis. The frequency response also helps to monitor the instrumentation. To extract the information from the digitized baseband output of the receiver chain calls for fast numerical methods. A simple fast algorithm is presented in this paper. Two implementations are provided. One is based on precomputed look-up tables. The other is based on fast digital sinewave generators. Both lend themselves to parallel software processing on multi-core and SIMD-capable platforms as well as processing with FPGA gateware. We present optimized reference implementations for Intel/AMD, IBM Cell and nVidia GPU platforms.
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10.837596
3.784492
2025-01-02
0
2025arXiv250105993W
[ "multi-telescope aperture synthesis", "fast numerical methods", "fast digital sinewave generators", "a multi-tone phase calibration signal", "phase shifts", "nVidia GPU platforms", "optimized reference implementations", "The multi-tone method", "frequency response", "an ultra-stable frequency standard" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics" ]
112
[ "10.48550/arXiv.2501.05993" ]
[ "Wagner, Jan", "Pogrebenko, Sergei" ]
[ "-", "-" ]
null
null
32553023
2501.06011
SECRET: Stochasticity Emulator for Cosmic Ray Electrons
The spectrum of cosmic-ray electrons depends sensitively on the history and spatial distribution of nearby sources. Given our limited observational handle on cosmic-ray sources, any model remains necessarily probabilistic. Previously, predictions were performed in a Monte Carlo fashion, summing the contributions from individual, simulated sources to generate samples from the statistical ensemble of possible electron spectra. Such simulations need to be re-run if the cosmic-ray transport parameters (e.g. diffusion coefficient, maximum energy) are changed, rendering any parameter study computationally expensive. In addition, a proper statistical analysis of observations and comparison with such probabilistic models requires the joint probability distribution of the full spectrum instead of only samples. Note that parametrising this joint distribution is rendered difficult by the non-Gaussian statistics of the cosmic-ray fluxes. Here, we employ machine learning to compute the joint probability distribution of cosmic-ray electron fluxes. Specifically, we employ masked autoregressive density estimation (MADE) for a representation of the high-dimensional joint probability distribution. In a first step, we train the network on a Monte Carlo simulation for a fixed set of transport parameters, thus significantly accelerating the generation of samples. In a second step, we extend this setup to SECRET (Stochasticity Emulator for Cosmic Ray Electrons), allowing to reliably interpolate over the space of transport parameters. We make the MADE and SECRET codes available at https://git.rwth-aachen.de/pmertsch/secret .
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6.533478
0.219458
2025-01-02
0
2025arXiv250106011F
[ "transport parameters", "spatial distribution", "Monte Carlo", "such probabilistic models", "simulated sources", "Such simulations", "nearby sources", "Cosmic Ray Electrons", "autoregressive density estimation", "cosmic-ray electron fluxes" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Astrophysics of Galaxies", "Physics - Computational Physics" ]
235
[ "10.48550/arXiv.2501.06011" ]
[ "Frediani, Nikolas", "Krämer, Michael", "Mertsch, Philipp", "Nippel, Kathrin" ]
[ "-", "-", "-", "-" ]
null
[ "1964ocr..book.....G", "1998ApJ...507..327P", "2004ApJ...601..340K", "2005AJ....130..569V", "2015arXiv150203509G" ]
32553024
2501.06013
Timing and spectral studies of the Be/X-ray binary EXO 2030+375 using Insight-HXMT observations
We report the X-ray spectral and timing analysis of the high mass X-ray binary EXO 2030+375 during the 2021 type-II outburst based on the Insight-HXMT observations. Pulsations can be detected in the energy band of 1-150 keV. The pulse profile shows energy and luminosity dependence and variability. We observed transitions in the pulse profile shape during the rising and the decaying phase of the outburst. The pulse fraction exhibits an anti-correlation with luminosity and a non-monotonic energy dependence, with a possible dip near 30 keV during the outburst peak. The hardness-intensity diagrams (7-10 keV/4-7 keV) suggest state transitions during the early and late phases of the outburst. These transitions are consistent with the luminosity at which the pulse profile shape changes occur, revealing the source reaching the critical luminosity and transitioning between super-critical and sub-critical accretion regimes. We performed the average and phase-resolved spectral analysis, where the flux-resolved average spectra show a stable spectral evolution with luminosity. The phase-resolved spectral analysis reveals that the dependence of spectral parameters on the pulse phase varies with different luminosities.
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5.597169
5.929708
2025-01-02
0
2025arXiv250106013D
[ "different luminosities", "luminosity", "state transitions", "-critical and sub-critical accretion regimes", "spectral parameters", "a non-monotonic energy dependence", "energy and luminosity dependence", "the high mass X-ray binary EXO", "the pulse profile shape changes", "analysis" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
175
[ "10.48550/arXiv.2501.06013" ]
[ "Du, Yu-Jia", "Ducci, Lorenzo", "Ji, Long", "Bu, Qing-Cui", "Kong, Ling-Da", "Wang, Peng-Ju", "Tuo, Youli", "Santangelo, Andrea" ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1976MNRAS.175..395B", "1976Natur.259..292M", "1985IAUC.4066....1P", "1987A&A...180..275L", "1989ApJ...338..359P", "1996ASPC..101...17A", "1999MNRAS.302..700R", "2000ApJ...542..914W", "2007A&A...464L..45K", "2008A&A...482..907K", "2008A&A...491..833K", "2009AstL...35..433L", "2009PASJ...61..999M", "2011Ap&SS.332....1R", "2012A&A...544A.123B", "2013A&A...551A...1R", "2013ApJ...763...79M", "2014A&A...572A.119S", "2015MNRAS.447.1847M", "2015MNRAS.448.2175L", "2016xnnd.confE..44F", "2017A&A...605A..39T", "2018MNRAS.479L.134T", "2019A&A...622A..61S", "2019MNRAS.484.3797J", "2020ApJ...902...18K", "2020JHEAp..27...14L", "2020JHEAp..27...64L", "2020MNRAS.491.1851J", "2020SCPMA..6349502Z", "2020SCPMA..6349503L", "2020SCPMA..6349504C", "2020SCPMA..6349505C", "2021AJ....161..147B", "2021ApJ...917L..38K", "2022ApJ...935..125W", "2022ApJ...938..149H", "2022MNRAS.515.5407T", "2023A&A...675A..29M", "2023MNRAS.521..893F", "2024A&A...688A.213T", "2024A&A...688A.214B" ]
32553035
2501.06021
Thermal emission from bow shocks III: Variable diffuse X-ray emission from stellar-wind bow shocks driven by dynamical instabilities
X-ray emission from wind-driven bow shocks is both difficult to measure and predict, but may give important insights into the energy budget of the hot phase of the ISM by quantifying mixing at the interface between hot and warm gas phases. We investigate the effect of magnetic fields and numerical resolution on predicted X-ray emission and other observable properties of bow shocks, to study convergence properties and assess robustness of predicted observables from simulations. A suite of 2D and 3D HD and MHD simulations of bow shocks were run and analysed to generate synthetic emission maps and lightcurves in X-ray and infrared emission. Resolving the Kelvin-Helmholtz (KH) instability at the wind-ISM contact discontinuity is crucial for obtaining converged results and for predicting X-ray emission and the properties of the hot shocked wind. When sufficient spatial resolution is used, we measure time variation of X-ray emission of at least an order of magnitude on a timescale comparable to the advection timescale of the wake downstream from the bow shock. Good correspondence is found between 2D and 3D simulations with comparable resolution, and 3D simulations can achieve the required resolution with reasonable computing resources. Development of the KH instability is inhibited for shear flows parallel to the ISM magnetic field, compared with what is seen in the perpendicular direction, resulting in synthetic IR emission maps of bow shocks that are smooth when seen from one perspective but show strong distortions from another. Measuring the X-ray morphology and luminosity in bow shocks may be useful for constraining mixing and energy-transfer rates between hot and warm gas phases of the ISM. Dynamical instabilities at the wind-ISM interface are a crucial ingredient in determining the properties of the hot-gas phase in stellar bow-shocks, in particular to capture its time dependence.
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9.702948
10.909025
2025-01-02
0
2025arXiv250106021M
[ "predicted X-ray emission", "X-ray emission", "bow shocks", "synthetic emission maps", "synthetic IR emission maps", "comparable resolution", "ray", "-", "3D simulations", "numerical resolution" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Astrophysics of Galaxies" ]
205
[ "10.48550/arXiv.2501.06021" ]
[ "Mackey, Jonathan", "Mathew, Arun", "Ali, Ahmad A.", "Haworth, Thomas J.", "Brose, Robert", "Green, Sam", "Moutzouri, Maria", "Walch, Stefanie" ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1972A&A....20..223D", "1977ApJ...211..135C", "1977ApJ...217..425M", "1977ApJ...218..377W", "1981JCoPh..43..357R", "1984ApJ...278L.115M", "1989ApJ...337..141M", "1990MNRAS.244P..26B", "1993ApJ...407...83S", "1994ApJ...428..186V", "1996ASPC..101...17A", "1996ApJ...460..777F", "1996ApJ...461..927D", "1998A&A...338..273C", "1998NewA....3..571B", "2000A&A...362..295V", "2000ApJ...545..475R", "2004ApJ...614.1007P", "2005A&A...436.1049M", "2005JCoPh.208..315M", "2006ApJ...638..262F", "2006ApJ...648.1043E", "2007CSE.....9...90H", "2008A&ARv..16..209P", "2009ARA&A..47..481A", "2009MNRAS.393...99W", "2009MNRAS.398..157H", "2010MNRAS.407.1933J", "2011ApJ...737..100T", "2011ApJS..192....9T", "2011MNRAS.418.2618L", "2012ApJ...751L..10M", "2012ApJS..198....7M", "2012MNRAS.421.1283A", "2012MNRAS.427L..50G", "2013ARep...57..573P", "2014MNRAS.444.2754M", "2014ascl.soft08004N", "2015A&A...573A..10M", "2016A&A...586A.114M", "2016ApJ...821...79T", "2016MNRAS.456..136A", "2017AJ....154..201K", "2017MNRAS.464.3229M", "2018AJ....156..123A", "2018ApJS..235...43T", "2018MNRAS.478.1218T", "2019A&A...625A...4G", "2019A&C....27...63H", "2019ApJS..244...20Z", "2019MNRAS.487..737J", "2020ApJ...894L..24F", "2020GeoRL..4788227S", "2020MNRAS.495.3041T", "2020Natur.585..357H", "2021A&A...650A..36B", "2021ApJ...914...89L", "2021ApJ...914...90L", "2021MNRAS.502.3179T", "2021MNRAS.504..983M", "2021MNRAS.506.5170M", "2021SciA....7.9511L", "2021ascl.soft03026G", "2022A&A...663A..10B", "2022A&A...665A..35G", "2023MNRAS.526.3099M", "2024ApJ...970...18L", "2024MNRAS.533.1670M" ]
32553025
2501.06022
Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study
We present a comprehensive comparison of different Markov Chain Monte Carlo (MCMC) sampling methods, evaluating their performance on both standard test problems and cosmological parameter estimation. Our analysis includes traditional Metropolis-Hastings MCMC, Hamiltonian Monte Carlo (HMC), slice sampling, nested sampling as implemented in dynesty, and PolyChord. We examine samplers through multiple metrics including runtime, memory usage, effective sample size, and parameter accuracy, testing their scaling with dimension and response to different probability distributions. While all samplers perform well with simple Gaussian distributions, we find that HMC and nested sampling show advantages for more complex distributions typical of cosmological problems. Traditional MCMC and slice sampling become less efficient in higher dimensions, while nested methods maintain accuracy but at higher computational cost. In cosmological applications using BAO data, we observe similar patterns, with particular challenges arising from parameter degeneracies and poorly constrained parameters.
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11.468538
3.05903
2025-01-02
0
2025arXiv250106022S
[ "nested sampling", "parameter accuracy", "cosmological parameter estimation", "different probability distributions", "nested methods", "slice sampling", "Markov Chain Monte Carlo", "simple Gaussian distributions", "Hamiltonian Monte Carlo", "parameter degeneracies" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
361
[ "10.48550/arXiv.2501.06022" ]
[ "Staicova, Denitsa" ]
[ "-" ]
null
[ "2015MNRAS.450L..61H", "2015MNRAS.453.4384H", "2017arXiv170403338G", "2018arXiv181211592B", "2020MNRAS.493.3132S", "2022A&A...668A.135S", "2022JHEAp..34...49A", "2024A&A...688A.156B" ]
32069090
2501.06029
Bound-State Beta Decay of <inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Tl</mml:mi></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow><mml:mrow><mml:mn>81</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow></mml:math></inline-formula> Ions and the LOREX Project
Stable <inline-formula><mml:math display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Tl</mml:mi></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math></inline-formula> ions have the lowest known energy threshold for capturing electron neutrinos (<inline-formula><mml:math display="inline"><mml:msub><mml:mi>ν</mml:mi><mml:mi>e</mml:mi></mml:msub></mml:math></inline-formula>) of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>E</mml:mi></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>ν</mml:mi></mml:mrow><mml:mrow><mml:mi>e</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:msub><mml:mo>≥</mml:mo><mml:mn>50.6</mml:mn><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>keV</mml:mi></mml:mrow></mml:math></inline-formula>. The Lorandite Experiment (LOREX), proposed in the 1980s, aims at obtaining the longtime averaged solar neutrino flux by utilizing natural deposits of Tl-bearing lorandite ores. To determine the <inline-formula><mml:math display="inline"><mml:msub><mml:mi>ν</mml:mi><mml:mi>e</mml:mi></mml:msub></mml:math></inline-formula> capture cross section, it is required to know the strength of the weak transition connecting the ground state of <inline-formula><mml:math display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Tl</mml:mi></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math></inline-formula> and the 2.3 keV first excited state in <inline-formula><mml:math display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:mi>Pb</mml:mi></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math></inline-formula>. The only way to experimentally address this transition is to measure the bound-state beta decay (<inline-formula><mml:math display="inline"><mml:msub><mml:mi>β</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:math></inline-formula>) of fully ionized <inline-formula><mml:math display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:msup><mml:mrow><mml:mi>Tl</mml:mi></mml:mrow><mml:mrow><mml:mn>81</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math></inline-formula> ions. After three decades of meticulous preparation, the half-life of the <inline-formula><mml:math display="inline"><mml:msub><mml:mi>β</mml:mi><mml:mi>b</mml:mi></mml:msub></mml:math></inline-formula> decay of <inline-formula><mml:math display="inline"><mml:mrow><mml:mmultiscripts><mml:mrow><mml:msup><mml:mrow><mml:mi>Tl</mml:mi></mml:mrow><mml:mrow><mml:mn>81</mml:mn><mml:mo>+</mml:mo></mml:mrow></mml:msup></mml:mrow><mml:mrow><mml:mn>205</mml:mn></mml:mrow></mml:mmultiscripts></mml:mrow></mml:math></inline-formula> has been measured to be <inline-formula><mml:math display="inline"><mml:mrow><mml:msubsup><mml:mrow><mml:mn>291</mml:mn></mml:mrow><mml:mrow><mml:mo>-</mml:mo><mml:mn>27</mml:mn></mml:mrow><mml:mrow><mml:mo>+</mml:mo><mml:mn>33</mml:mn></mml:mrow></mml:msubsup><mml:mtext> </mml:mtext><mml:mtext> </mml:mtext><mml:mi>days</mml:mi></mml:mrow></mml:math></inline-formula> using the Experimental Storage Ring (ESR) at GSI, Darmstadt. The longer measured half-life compared to theoretical estimates reduces the expected signal-to-noise ratio in the LOREX, thus challenging its feasibility.
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7.0967
-2.485828
2024-01-13
0
2024PhRvL.133w2701S
[ "mrow><mml", "math display=\"inline\"><mml", "mrow></mml", "formula", "inline", "formula><mml", "math></inline", "mi", "math></inline-formula> ions", "mrow><mml:mi" ]
[ "Nuclear Physics", "Nuclear Experiment", "Astrophysics - Solar and Stellar Astrophysics", "Physics - Instrumentation and Detectors" ]
344
[ "10.1103/PhysRevLett.133.232701", "10.48550/arXiv.2501.06029" ]
[ "Sidhu, R. S.", "Leckenby, G.", "Chen, R. J.", "Mancino, R.", "Neff, T.", "Litvinov, Yu. A.", "Martínez-Pinedo, G.", "Amthauer, G.", "Bai, M.", "Blaum, K.", "Boev, B.", "Bosch, F.", "Brandau, C.", "Cvetković, V.", "Dickel, T.", "Dillmann, I.", "Dmytriiev, D.", "Faestermann, T.", "Forstner, O.", "Franczak, B.", "Geissel, H.", "Gernhäuser, R.", "Glorius, J.", "Griffin, C. J.", "Gumberidze, A.", "Haettner, E.", "Hillenbrand, P. -M.", "Kienle, P.", "Korten, W.", "Kozhuharov, Ch.", "Kuzminchuk, N.", "Langanke, K.", "Litvinov, S.", "Menz, E.", "Morgenroth, T.", "Nociforo, C.", "Nolden, F.", "Pavićević, M. K.", "Petridis, N.", "Popp, U.", "Purushothaman, S.", "Reifarth, R.", "Sanjari, M. S.", "Scheidenberger, C.", "Spillmann, U.", "Steck, M.", "Stöhlker, Th.", "Tanaka, Y. K.", "Trassinelli, M.", "Trotsenko, S.", "Varga, L.", "Wang, M.", "Weick, H.", "Woods, P. J.", "Yamaguchi, T.", "Zhang, Y. H.", "Zhao, J.", "Zuber, K.", "E121 Collaboration", "Lorex Collaboration" ]
[ "School of Physics and Astronomy, The University of Edinburgh, EH9 3FD Edinburgh, United Kingdom; GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany;", "TRIUMF, Vancouver, British Columbia V6T 2A3, Canada; Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z1, Canada;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany; Institute of Modern Physics, Chinese Academy of Sciences, 730000 Lanzhou, People's Republic of China", "Institut für Kernphysik (Theoriezentrum), Fachbereich Physik, Technische Universität Darmstadt, Schlossgartenstraße 2, 64289 Darmstadt, Germany; GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; Helmholtz Forschungsakademie Hessen für FAIR (HFHF), GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; Institut für Kernphysik (Theoriezentrum), Fachbereich Physik, Technische Universität Darmstadt, Schlossgartenstraße 2, 64289 Darmstadt, Germany; Helmholtz Forschungsakademie Hessen für FAIR (HFHF), GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "Department of Chemistry and Physics of Materials, University of Salzburg, Jakob-Haringer-Strasse 2a, 5020 Salzburg, Austria", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "Max-Planck-Institut für Kernphysik, 69117 Heidelberg, Germany;", "University of Štip, Faculty of Mining and Geology, Goce Delčev 89, 92000 Štip, North Macedonia;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "University of Belgrade, Faculty of Mining and Geology, Ðušina 7, 11000 Belgrade, Serbia;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; II. Physikalisches Institut, Justus-Liebig-Universität Gießen, 35392 Gießen, Germany;", "TRIUMF, Vancouver, British Columbia V6T 2A3, Canada; Department of Physics and Astronomy, University of Victoria, Victoria, British Columbia V8P 5C2, Canada;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "Physik Department, Technische Universität München, D-85748 Garching, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; II. Physikalisches Institut, Justus-Liebig-Universität Gießen, 35392 Gießen, Germany", "Physik Department, Technische Universität München, D-85748 Garching, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "TRIUMF, Vancouver, British Columbia V6T 2A3, Canada;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; I. Physikalisches Institut, Justus-Liebig-Universität Gießen, 35392 Gießen, Germany;", "Physik Department, Technische Universität München, D-85748 Garching, Germany", "IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, 91191, France;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "Department of Chemistry and Physics of Materials, University of Salzburg, Jakob-Haringer-Strasse 2a, 5020 Salzburg, Austria", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "J.W. Goethe Universität, 60438 Frankfurt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany; II. Physikalisches Institut, Justus-Liebig-Universität Gießen, 35392 Gießen, Germany; Helmholtz Research Academy Hesse for FAIR (HFHF), GSI Helmholtz Center for Heavy Ion Research, Campus Gießen, 35392 Gießen, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "High Energy Nuclear Physics Laboratory, RIKEN, 2-1 Hirosawa, Wako, Saitama 351-0198, Japan;", "Institut des NanoSciences de Paris, CNRS, Sorbonne Université, Paris, France;", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "Physik Department, Technische Universität München, D-85748 Garching, Germany; GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany", "Institute of Modern Physics, Chinese Academy of Sciences, 730000 Lanzhou, People's Republic of China", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "School of Physics and Astronomy, The University of Edinburgh, EH9 3FD Edinburgh, United Kingdom", "Saitama University, Saitama 338-8570, Japan;", "Institute of Modern Physics, Chinese Academy of Sciences, 730000 Lanzhou, People's Republic of China", "GSI Helmholtzzentrum für Schwerionenforschung, Planckstraße 1, 64291 Darmstadt, Germany;", "Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Zellescher Weg 19, 01062 Dresden, Germany;", "-", "-" ]
null
[ "1961PhRv..124..495B", "1976Sci...193.1117F", "1977RvMP...49...77B", "1982PhRvC..26.1167M", "1983NSE....83..393S", "1983NuPhA.404..578T", "1987NIMPB..24...18F", "1987PhDT........85K", "1987PhRvA..36.1522K", "1988NIMPA.271..257K", "1988NIMPA.271..277K", "1988NIMPA.271..287P", "1988PhRvD..38.2006B", "1988RvMP...60..297B", "1991PhRvC..44..233W", "1992NIMPB..70..286G", "1992PhLB..285..376A", "1992PhRvA..45.7894P", "1992PhRvL..69.2164J", "1994PhLB..328..234A", "1996PhRvL..77.5190B", "1997NuPhA.626..491N", "1999RvMP...71.1213K", "2002A&A...390.1115B", "2002PhRvL..89a1301A", "2003NIMPB.204..553K", "2004NIMPA.532..357S", "2005PhRvL..95e2501O", "2005RvMP...77..427C", "2008CaJPh..86..675G", "2008JPhCS.136b2003H", "2010NIMPA.621..278P", "2011NIMPA.659...69N", "2011RPPh...74a6301L", "2011RvMP...83..195A", "2013ARA&A..51...21H", "2013PhRvC..87b5803Z", "2013PhST..156a4088S", "2014Natur.512..383B", "2015PhST..166a4051P", "2015PhST..166a4062T", "2018NIMPA.895...62P", "2018Natur.562..505B", "2019EPJC...79....1J", "2020NDS...166....1K", "2020PhRvC.101c1302K", "2020PhRvC.102d5501H", "2020PrPNP.11503811S", "2021ChPhC..45c0001K", "2021ChPhC..45c0003W", "2021PhRvC.104b4304L", "2023EPJWC.27906010L", "2023PhRvC.107c2801L", "2024JHEP...02..064G", "2024Natur.635..321L", "2024PhRvD.110c0001N" ]
32553048
2501.06036
Memory time fluctuations and instabilities in random media
The role of memory time fluctuations for instabilities in random media is considered. It is shown that fluctuations can result in infinitely fast growth of statistical moments. The effect is demonstrated in the framework of light propagation in the Universe, which contains curvature fluctuations while remaining homogeneous and isotropic on average.
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10.974041
-0.455782
2025-01-02
0
2025arXiv250106036P
[ "curvature fluctuations", "memory time fluctuations", "fluctuations", "light propagation", "random media", "statistical moments", "instabilities", "Universe", "infinitely fast growth", "the Universe" ]
[ "Physics - Plasma Physics", "Astrophysics - Solar and Stellar Astrophysics" ]
143
[ "10.48550/arXiv.2501.06036" ]
[ "Pavlenko, S.", "Illarionov, E.", "Sokoloff, D." ]
[ "-", "-", "-" ]
null
null
32553049
2501.06037
Ultraluminous X-ray sources in Globular Clusters
This paper investigates the formation, populations, and evolutionary paths of UltraLuminous X-ray Sources (ULXs) within Globular Clusters (GCs). ULXs, characterised by their extreme X-ray luminosities, present a challenge to our understanding of accretion physics and compact object formation. While previous studies have largely focused on field populations, this research examines the unique environment of GCs, where dynamical interactions play a significant role. Using the MOCCA Monte Carlo code, we explore how dynamics influences ULX populations within these dense stellar clusters. Our findings reveal that dynamical processes, such as binary hardening and exchanges, can both facilitate and impede ULX formation in GCs. The study explores the impact of parameters including the initial binary fraction, tidal filling, and multiple stellar populations on the evolution of ULXs. We find that non-tidally filling clusters exhibit significantly larger ULX populations compared to tidally filling ones. The results indicate that the apparent scarcity of ULXs in GCs may be related to the older stellar populations of GCs relative to the field. Furthermore, the study identifies a population of "escaper" ULXs, which originate in GCs but are ejected and emit X-rays outside the cluster. These escapers may significantly contribute to the observed field ULX population.
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6.794586
7.046322
2025-01-02
0
2025arXiv250106037W
[ "ULX populations", "field populations", "multiple stellar populations", "populations", "ULX formation", "UltraLuminous X-ray", "UltraLuminous X-ray Sources", "ULXs", "ULX", "the observed field ULX population" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Astrophysics of Galaxies" ]
272
[ "10.48550/arXiv.2501.06037" ]
[ "Wiktorowicz, Grzegorz", "Giersz, Mirek", "Askar, Abbas", "Hypki, Arkadiusz", "Helstrom, Lucas" ]
[ "-", "-", "-", "-", "-" ]
null
[ "1971Ap&SS..13..284H", "1971ApJ...164..399S", "1973A&A....24..337S", "1985ApJ...298...80C", "1986AcA....36...19S", "1993Natur.364..421K", "1995MNRAS.277.1491K", "1997ApJ...474..223G", "2000MNRAS.315..543H", "2001MNRAS.322..231K", "2002MNRAS.329..897H", "2003ApJ...591L.131P", "2004MNRAS.348L..28K", "2004MNRAS.352....1F", "2005ApJ...621L.109I", "2005ApJ...624L..17S", "2005MNRAS.360..974H", "2007Natur.445..183M", "2008ApJS..174..223B", "2008MNRAS.386..553I", "2009MNRAS.393L..41K", "2010ApJ...712L...1I", "2010ApJ...721..323S", "2011MNRAS.410.1655M", "2012ApJ...749...91F", "2012ApJ...751....4K", "2012ApJ...760..135R", "2012Sci...337..444S", "2013ApJ...764..124W", "2013MNRAS.429.1221H", "2013MNRAS.432..506P", "2014ApJS..213...34K", "2014Natur.514..202B", "2015AJ....149...91P", "2015ApJ...802L...5F", "2015ApJ...805...92O", "2015ApJ...810...20W", "2015MNRAS.454.3150G", "2015MNRAS.454.4197R", "2016MNRAS.459..771H", "2016Natur.538..356I", "2017ARA&A..55..303K", "2017ApJ...846...17W", "2017MNRAS.468.2429B", "2017MNRAS.469.3088K", "2018ARA&A..56...83B", "2018ApJ...863...43W", "2019A&ARv..27....8G", "2019ApJ...871..231H", "2019ApJ...875...53W", "2020MNRAS.497..596D", "2020MNRAS.497..917L", "2020MNRAS.498.4287H", "2021A&A...649L...2Z", "2021ApJ...918...60W", "2021AstL...47..831K", "2021MNRAS.504.1545D", "2022MNRAS.509.1587W", "2022MNRAS.509.2493K", "2022MNRAS.511.4060K", "2022MNRAS.515.3632A", "2022MNRAS.517.4768H", "2022Univ....8..359M", "2023MNRAS.518.3386T", "2023MNRAS.526.2506L", "2024A&A...690A.112H", "2024arXiv241106421G", "2025A&A...693A..41H" ]
32553053
2501.06050
ZF-UDS-7329: A relic galaxy in the early Universe
The formation time scales of quiescent galaxies can be estimated in two different ways: by their star formation history and by their chemistry. Previously, the methods yielded conflicting results, especially when considering $\alpha$-enhanced objects. This is primarily due to the time resolution limitations of very old stellar populations, which prevent accurately constraining their star formation histories. We analysed the JWST observations of the extremely massive galaxy ZF-UDS-7329 at z$\sim$3.2 and show that the higher time resolution necessary to match the chemical formation time scales using stellar population synthesis can be achieved by studying galaxies at high redshift. We compare the massive galaxy to the well-known relic galaxy NGC~1277, arguing that ZF-UDS-7329 is an early Universe example of the cores of present-day massive elliptical galaxies or, if left untouched, a relic galaxy.
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12.43075
6.685229
2025-01-02
0
2025arXiv250106050H
[ "quiescent galaxies", "galaxies", "stellar population synthesis", "conflicting results", "present-day massive elliptical galaxies", "resolution limitations", "the chemical formation time scales", "high redshift", "the massive galaxy", "The formation time scales" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
396
[ "10.48550/arXiv.2501.06050" ]
[ "Hartmann, Eduardo A.", "Martín-Navarro, Ignacio", "Huertas-Company, Marc", "Benedetti, João P. V.", "Iglesias-Navarro, Patricia", "Vazdekis, Alexandre", "Montes, Mireia" ]
[ "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1992ApJ...398...69W", "1997ApJS..111..203V", "2001MNRAS.322..231K", "2003ApJ...586...17W", "2003MNRAS.341...33K", "2004PASP..116..138C", "2005ApJ...621..673T", "2007CSE.....9...90H", "2008MNRAS.390...71C", "2010ApJ...725.2312O", "2010MNRAS.404.1639V", "2011MNRAS.418L..74D", "2012ApJ...751L..44W", "2013ApJ...773L...8Q", "2013MNRAS.431..440F", "2013MNRAS.435.2274W", "2014ApJ...780L..20T", "2015MNRAS.447.1033M", "2015MNRAS.448.3484M", "2015MNRAS.448L..82F", "2015MNRAS.449.1177V", "2015MNRAS.451.1081M", "2016MNRAS.456L.104M", "2016MNRAS.457.4272S", "2017ApJ...841...68V", "2017MNRAS.467.1929F", "2017MNRAS.468.4216Y", "2020A&A...641A...6P", "2020Natur.585..357H", "2021A&A...646A..28S", "2022ApJ...931...57S", "2022ApJ...935..167A", "2023A&A...669A..95L", "2023A&A...675A.143C", "2023ApJ...947...20V", "2023MNRAS.518.2511L", "2023MNRAS.520.3974C", "2023MNRAS.526.3273C", "2024A&A...687L..14P", "2024MNRAS.527.8793S", "2024MNRAS.531.2864M", "2024MNRAS.534..325C", "2024MNRAS.534..523C", "2024Natur.628..277G", "2024Natur.630...54B", "2024arXiv240903829W", "2024arXiv241002076N", "2025MNRAS.tmp..122T" ]
32553070
2501.06056
Periodic Variability of the Central Stars of Planetary Nebulae Surveyed through the Zwicky Transient Facility
A consensus has been reached in recent years that binarity plays an important role in the formation and evolution of a significant fraction of planetary nebulae (PNe). Utilizing the archived photometric data from the Zwicky Transient Facility survey, we conducted a comprehensive data mining in search for brightness variations in a large sample of Galactic PNe. This effort leads to identification of 39 PNe, whose central stars exhibit periodic variation in light curves. Among these objects, 20 are known binary central stars of PNe, while the remaining 19 are new discoveries. Additionally, we identified 14 PNe with central stars displaying anomalous variation in light curves, as well as eight variables based on the high-cadence photometric data. Among the new discoveries of periodicity, we found compelling evidence of binary systems at the centres of two archetypal quadrupolar PNe. We also report on very peculiar brightness variation observed in the central core of the compact PN NGC6833. Several PNe in our sample deserve follow-up observations, both high-dispersion spectroscopy and high-precision photometry, to reveal the true nature of their central binarity or even multiplicity.
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9.883467
10.345675
2025-01-02
0
2025arXiv250106056C
[ "binary central stars", "central stars", "brightness variations", "Galactic PNe", "Several PNe", "anomalous variation", "periodic variation", "PNe", "binary systems", "light curves" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - Astrophysics of Galaxies" ]
225
[ "10.48550/arXiv.2501.06056" ]
[ "Chen, Pinjian", "Fang, Xuan", "Chen, Xiaodian", "Liu, Jifeng" ]
[ "-", "-", "-", "-" ]
null
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32107031
2501.06075
The ultraviolet luminosity function of star-forming galaxies between redshifts of 0.4 and 0.6
We combine ultraviolet imaging of the <inline-formula><tex-math id="TM0001" notation="LaTeX">$13^{H}$</tex-math></inline-formula> survey field, taken with the XMM-Newton Optical Monitor telescope (XMM-OM) and the Neil Gehrels Swift Observatory Ultraviolet and Optical Telescope (UVOT) in the UVM2 band, to measure rest-frame ultraviolet 1500 Å luminosity functions of star-forming galaxies with redshifts z between 0.4 and 0.6. In total the UVM2 imaging covers a sky area of 641 arcmin<inline-formula><tex-math id="TM0003" notation="LaTeX">$^{2}$</tex-math></inline-formula>, and we detect 273 galaxies in the UVM2 image with <inline-formula><tex-math id="TM0004" notation="LaTeX">$0.4\lt z\lt 0.6$</tex-math></inline-formula>. The luminosity function is fit by a Schechter function with best-fitting values for the faint end slope <inline-formula><tex-math id="TM0005" notation="LaTeX">$\alpha =-1.8^{+0.4}_{-0.3}$</tex-math></inline-formula> and characteristic absolute magnitude <inline-formula><tex-math id="TM0006" notation="LaTeX">$M^{*} = -19.1^{+0.3}_{-0.4}$</tex-math></inline-formula>. In common with XMM-OM based studies at higher redshifts, our best-fitting value for <inline-formula><tex-math id="TM0007" notation="LaTeX">$M^{*}$</tex-math></inline-formula> is fainter than previous measurements. We argue that the purging of active galactic nuclei from the sample, facilitated by the cospatial X-ray survey carried out with XMM-Newton is important for the determination of <inline-formula><tex-math id="TM0008" notation="LaTeX">$M^{*}$</tex-math></inline-formula>. At the brightest absolute magnitudes (<inline-formula><tex-math id="TM0009" notation="LaTeX">$M_{1500}\lt -18.5$</tex-math></inline-formula>), the average UV colour of our galaxies is consistent with that of minimal-extinction local analogues, but the average UV colour is redder for galaxies at fainter absolute magnitudes, suggesting that higher levels of dust attenuation enter the sample at absolute magnitudes somewhat fainter than <inline-formula><tex-math id="TM0010" notation="LaTeX">$M^{*}$</tex-math></inline-formula>.
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12.781472
6.510054
2025-01-02
0
2025MNRAS.536..518P
[ "inline", "fainter absolute magnitudes", "formula", "<", "absolute magnitudes", "galaxies", "XMM", "higher redshifts", "active galactic nuclei", "Optical Telescope" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
211
[ "10.1093/mnras/stae2498", "10.48550/arXiv.2501.06075" ]
[ "Page, M. J.", "Dwelly, T.", "McHardy, I.", "Seymour, N.", "Mason, K. O.", "Sharma, M.", "Kennea, J. A.", "Sasseen, T. P.", "Breeveld, A. A.", "Matthews, A. E." ]
[ "Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK", "tdastro.com, Camden Rd., Bath BA1 5JD, UK", "Department of Physics and Astronomy, University Southampton, Southampton SO17 1BJ, UK", "International Centre for Radio Astronomy Research, Curtin University, Bentley WA 6102, Australia", "Satellite Applications Catapult, Fermi Avenue, Harwell Campus, Didcot, Oxfordshire OX11 0QR, UK", "Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK", "Department of Astronomy and Astrophysics, The Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802, USA", "Tyto Athene, 5383 Hollister Avenue, Santa Barbara, CA 93111, USA", "Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK", "Mullard Space Science Laboratory, University College London, Holmbury St Mary, Dorking, Surrey RH5 6NT, UK" ]
null
[ "1976ApJ...203..297S", "1976ApJ...208..177L", "1979ApJ...232..352S", "1983ApJ...266..713O", "1986ApJ...303..336G", "1994ApJ...429..582C", "1994MNRAS.270..947B", "1996ApJ...462L..17S", "1996ApJ...467...38K", "1996MNRAS.283.1388M", "1998ApJ...495..698G", "1998ApJ...500..525S", "1998MNRAS.295..641M", "1998MNRAS.300..303T", "1999ApJ...521...64M", "1999MNRAS.308..119S", "2000A&A...363..476B", "2000MNRAS.311..433P", "2000MNRAS.312...83F", "2000MNRAS.312..442S", "2001A&A...365L..36M", "2003ApJ...599...38B", "2003MNRAS.342..802M", "2004MNRAS.352..131S", "2005ApJ...619L...1M", "2005ApJ...619L..11X", "2005ApJ...619L..15W", "2005ApJ...619L..19T", "2005ApJ...619L..43A", "2005ApJ...619L..55S", "2005MNRAS.362.1371L", "2005SSRv..120...95R", "2006MNRAS.369..156P", "2008ApJ...676..767T", "2008ApJS..175..297A", "2008MNRAS.383..383K", "2008MNRAS.383..627P", "2008MNRAS.386..697R", "2009ApJ...692..778R", "2009ApJ...705..936B", "2010ApJ...725L.150O", "2010MNRAS.406.1687B", "2011AIPC.1358..373B", "2011ApJ...737..103S", "2011MNRAS.417..717W", "2012A&A...539A..31C", "2012ARA&A..50..531K", "2012MNRAS.422.2816B", "2012MNRAS.426..903P", "2013MNRAS.429.1113H", "2013MNRAS.436.1684P", "2014ApJ...793..115B", "2014ApJ...793L...5K", "2015ARA&A..53...51S", "2015ApJ...808..178H", "2016MNRAS.456.3194P", "2017JApA...38...28T", "2017MNRAS.466.1061P", "2020MNRAS.494.1894M", "2021AJ....162...47B", "2021MNRAS.506..473P", "2022MNRAS.511.4882S", "2023ApJ...951L...1P", "2023ApJS..265....5H", "2023MNRAS.518.6011D", "2024ApJ...962....8S", "2024MNRAS.527.5004M", "2024MNRAS.531.2040S", "2024MNRAS.532.1059B" ]
32558911
2501.06082
Variation of the low-mass end of the stellar initial mass function with redshift and metallicity
We report the stellar mass functions obtained from 20 radiation hydrodynamical simulations of star cluster formation in 500 M<SUB>⊙</SUB> molecular clouds with metallicities of 3, 1, 1/10 and 1/100 of the solar value, with the clouds subjected to levels of the cosmic microwave background radiation that are appropriate for star formation at redshifts z = 0, 3, 5, 7, and 10. The calculations include a thermochemical model of the diffuse interstellar medium and treat dust and gas temperatures separately. We find that the stellar mass distributions obtained become increasingly bottom light as the redshift and/or metallicity are increased. Mass functions that are similar to a typical Galactic initial mass function are obtained for present-day star formation (z = 0) independent of metallicity, and also for the lowest-metallicity (1/100 solar) at all redshifts up to z = 10, but for higher metallicities there is a larger deficit of brown dwarfs and low-mass stars as the metallicity and redshift are increased. These effects are a result of metal-rich gas being unable to cool to as lower temperatures at higher redshift due to the warmer cosmic microwave background radiation. Based on the numerical results we provide a parameterisation that may be used to vary the stellar initial mass function with redshift and metallicity; this could be used in simulations of galaxy formation. For example, a bottom-light mass function reduces the mass-to-light ratio compared to a typical Galactic stellar initial mass function, which may reduce the estimated masses of high-redshift galaxies.
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12.025358
6.642194
2025-01-02
0
2025MNRAS.tmp...55B
[ "Mass functions", "higher redshift", "star formation", "star cluster formation", "redshift", "a typical Galactic stellar initial mass function", "the stellar initial mass function", "higher metallicities", "lower temperatures", "galaxy formation" ]
[ "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Solar and Stellar Astrophysics" ]
513
[ "10.1093/mnras/staf059", "10.48550/arXiv.2501.06082" ]
[ "Bate, Matthew R." ]
[ "Department of Physics and Astronomy, University of Exeter, Stocker Road, Exeter EX4 4QL, United Kingdom;" ]
null
[ "1953ApJ...118..513H", "1962ApJ...135..715S", "1969MNRAS.145..271L", "1973ApJ...179..731F", "1976MNRAS.176..367L", "1976MNRAS.176..483R", "1978ApJ...221..788C", "1978ApJS...36..595D", "1980ApJ...235..405F", "1986ApJ...311..637C", "1988ApJ...325L..29H", "1990ApJ...348..647B", "1990nmns.work..269B", "1992AJ....103..711D", "1992ApJ...398...69W", "1993MNRAS.265..731G", "1995MNRAS.277..362B", "1996ApJS..106..307V", "1996MNRAS.280..167J", "1997AJ....114.1365B", "1997ApJ...489L.179T", "1997ApJS..111..203V", "1997JCoPh.136...41M", "1997MNRAS.288.1060B", "1998ApJ...508L..95B", "1998MNRAS.296..442W", "1998MNRAS.301..569L", "2000AJ....120..165T", "2000ApJ...528..325B", "2001A&A...376..650Z", "2001ApJ...546..980O", "2001MNRAS.322..231K", "2003ApJ...588L..17F", "2003MNRAS.339..577B", "2003MNRAS.339L..12C", "2003PASP..115..763C", "2005A&A...430.1059B", "2005ASSL..327...41C", "2005ApJ...623L...5F", "2005MNRAS.356.1191B", "2005MNRAS.356.1201B", "2005MNRAS.359..809C", "2005MNRAS.363..363B", "2005MNRAS.364..384P", "2005MNRAS.364.1367W", "2006A&A...450..881H", "2006MNRAS.367...32W", "2006MNRAS.370.1106G", "2007MNRAS.374.1347P", "2007PASA...24..159P", "2008ApJ...683..238K", "2008MNRAS.383..857F", "2009ApJ...693..486G", "2009ApJ...698.1590G", "2009MNRAS.392..590B", "2009MNRAS.392.1363B", "2009MNRAS.399..432N", "2010ApJ...709.1195T", "2010ApJ...724..511A", "2010MNRAS.404....2G", "2010MNRAS.408...97K", "2010MNRAS.409L..30F", "2010Natur.468..940V", "2011AJ....142....8S", "2011ApJ...735...49M", "2011ApJ...735L..13V", "2011MNRAS.415..545T", "2011MNRAS.415.1647G", "2011MNRAS.415.2215B", "2012AJ....144...78W", "2012ApJ...747...69C", "2012ApJ...753L..32S", "2012ApJ...754...71K", "2012ApJ...760...71C", "2012MNRAS.419.3115B", "2012MNRAS.422L..33D", "2012MNRAS.423.3601N", "2012MNRAS.426..377G", "2012MNRAS.426.2994S", "2012Natur.484..485C", "2013ApJ...765....8T", "2013ApJ...766...97M", "2013MNRAS.429.1725M", "2013MNRAS.429L..15F", "2013MNRAS.432.1862C", "2013MNRAS.432.2496D", "2013MNRAS.433..170H", "2013MNRAS.433.3017L", "2013MNRAS.434.1964S", "2013MNRAS.435.2274W", "2013MNRAS.436.2892N", "2014ApJ...792L..37M", "2014ApJ...796...75C", "2014MNRAS.438.1483S", "2014MNRAS.439.3420M", "2014MNRAS.442..285B", "2015ApJ...806L..31M", "2015ApJ...807...11G", "2015MNRAS.446..493P", "2015MNRAS.448.3484M", "2015MNRAS.448L..82F", "2015MNRAS.448L..94S", "2015MNRAS.449..662L", "2015MNRAS.449.2643B", "2015MNRAS.449.3441S", "2015MNRAS.452.2434S", "2016MNRAS.459.3677L", "2016MNRAS.460.3272K", "2017ApJ...840...72L", "2017ApJ...841...68V", "2017ApJ...845..157N", "2017MNRAS.464..453D", "2017MNRAS.464.3597L", "2018A&A...611A..89L", "2018ARA&A..56..673G", "2018ApJ...854..147B", "2018ApJ...864L..22S", "2018ApJS..238...19T", "2018MNRAS.475.5618B", "2018MNRAS.476..771C", "2018MNRAS.477.1270P", "2018MNRAS.478.2650J", "2018MNRAS.479.5448B", "2018MNRAS.480.2562J", "2018Natur.558..260Z", "2019A&A...623A...5D", "2019ApJ...875...61M", "2019ApJ...883..140H", "2019MNRAS.482.2515B", "2019MNRAS.482L.139E", "2019MNRAS.483..985B", "2019MNRAS.484.2341B", "2019MNRAS.485.4852G", "2019MNRAS.489.1719W", "2020ARA&A..58..577S", "2020ApJ...890..130T", "2020MNRAS.494.5619S", "2021A&A...649A..18G", "2021MNRAS.500.1697C", "2021MNRAS.500.3594R", "2021MNRAS.502.3646G", "2021MNRAS.503.1138N", "2021MNRAS.507.2448M", "2021MNRAS.508.4175C", "2021MNRAS.508.5279E", "2022ApJ...937L..35M", "2022ApJ...940L..14N", "2022ApJ...940L..53V", "2022MNRAS.512..216G", "2022MNRAS.514.4639C", "2022MNRAS.515.4929G", "2022MNRAS.516.5712T", "2023ApJ...943..137Y", "2023ApJ...945...53V", "2023ApJ...951L..40S", "2023MNRAS.518.5190M", "2023MNRAS.519..688B", "2023MNRAS.520.2180C", "2023MNRAS.523.4353E", "2023Natur.616..266L", "2023arXiv230816268G", "2023arXiv231018464W", "2024A&A...681A..64K", "2024A&A...682A..30L", "2024A&A...684A..36T", "2024ApJ...963...74W", "2024ApJ...973L..32V", "2024ApJ...975..152Y", "2024MNRAS.527.7306T", "2024MNRAS.529.3712W", "2024MNRAS.530.2453C", "2024Natur.632..513A", "2024Natur.633..318C", "2024Natur.635..311X", "2024arXiv240208696M", "2024arXiv240410770B" ]
32553098
2501.06095
The Spectre of Underdetermination in Modern Cosmology
The scientific status of physical cosmology has been the subject of philosophical debate ever since detailed mathematical models of the Universe emerged from Einstein's general theory of relativity. Such debates revolve around whether and to what extent cosmology meets established demarcation criteria for a discipline to be scientific, as well as determining how to best characterize cosmology as a science, given the unique challenges and limitations faced by a discipline which aims to study the origin, composition, and fate of the Universe itself. The present article revisits, in light of the dramatic progress in cosmology in recent decades, an earlier debate held in the 1950s between Herman Bondi and Gerald Whitrow regarding the scientific status of cosmology. We analyse cosmology's transition from an emerging science to a cornerstone of modern physics, highlighting its empirical successes in establishing the $\Lambda$-Cold Dark Matter ($\Lambda$CDM) model and in its delivery of various successful novel predictions. Despite this remarkable scientific success and progress, we argue that modern cosmology faces a further profound challenge: the permanent underdetermination of the microphysical nature of its exotic energy components: inflation, dark matter, and dark energy. Drawing historical parallels with the role of spectroscopy in revealing the microphysical nature of atomic physics, we argue that the epistemic barriers obstructing us from ascertaining the microphysical nature of these exotic energy components are significant, in turn casting doubt upon whether cosmology can ever transcend these particular epistemic challenges. We conclude by reflecting on the prospects for future breakthroughs and/or non-empirical arguments which could decide this issue conclusively.
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10.958068
0.853203
2025-01-02
0
2025arXiv250106095F
[ "modern cosmology", "physical cosmology", "cosmology", "detailed mathematical models", "modern physics", "philosophical debate", "established demarcation criteria", "Such debates", "various successful novel predictions", "dark energy" ]
[ "Physics - History and Philosophy of Physics", "Astrophysics - Cosmology and Nongalactic Astrophysics", "General Relativity and Quantum Cosmology", "High Energy Physics - Theory" ]
916
[ "10.48550/arXiv.2501.06095" ]
[ "Ferreira, Pedro G.", "Wolf, William J.", "Read, James" ]
[ "-", "-", "-" ]
null
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32553139
2501.06139
SkyReconNet: A Deep Learning Inpainting Approach for Enhanced CMB Map Reconstruction
We introduce a novel neural network architecture, SkyReconNet, which is tailored to reconstruct missing information in the masked regions of the full-sky Cosmic Microwave Background (CMB) map. Inpainting the CMB maps is a particularly formidable challenge when dealing with extensive and irregular masks, such as galactic masks which can obscure substantial fractions of the sky. Our network addresses this challenge by combining the strengths of the dilated convolutional layers, with their expanded receptive fields and standard convolutional layers, to capture both the global and local features in a CMB map. This hybrid design enables our network to accurately predict CMB fluctuations in the masked regions by effectively leveraging the information from the surrounding unmasked areas. The network is trained on simulated CMB maps generated using the Code for Anisotropies in the Microwave Background (CAMB) package. The galactic region of these simulated maps are excluded using the Planck 2018 common mask provided by the Planck CMB mission. During training, the network optimizes its weights by minimizing a composite loss function that combines the Structural Similarity Index Measure (SSIM) and mean squared error (MSE). SSIM preserves the essential structural features of the CMB, ensuring an accurate and coherent reconstruction of the full-sky CMB map, while MSE minimizes the pixel-wise deviations, enhancing the overall accuracy of the predictions. The predicted CMB maps and their corresponding angular power spectra align closely with the targets, achieving the performance limited only by the fundamental uncertainty of cosmic variance. Our results demonstrate that this approach effectively addresses the challenges posed by large irregular masks, offering a significant inpainting tool in CMB and other cosmological analyses.
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12.893716
2.062024
2025-01-02
0
2025arXiv250106139L
[ "simulated CMB maps", "CMB fluctuations", "CMB", "large irregular masks", "galactic masks", "standard convolutional layers", "The predicted CMB maps", "a CMB map", "the CMB maps", "missing information" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics" ]
263
[ "10.48550/arXiv.2501.06139" ]
[ "Lambaga, Reyhan D.", "Sudevan, Vipin", "Chen, Pisin" ]
[ "-", "-", "-" ]
null
[ "2000ApJ...538..473L", "2002PrPNP..48..243M", "2003ApJ...583....1B", "2003ApJS..148....1B", "2003ApJS..148...97B", "2003PhRvD..68l3523T", "2004ApJ...612..633E", "2004ITIP...13..600W", "2005ApJ...622..759G", "2006ApJ...643..616J", "2006MNRAS.367.1714L", "2008ApJ...672L..87E", "2008ApJ...676...10E", "2008StMet...5..289A", "2009A&A...493..835D", "2010A&A...519A...4P", "2010ApJS..191..423H", "2011A&A...534A..51D", "2011A&A...536A...1P", "2011MNRAS.418..505C", "2011PhRvD..84j3002F", "2012A&A...544A..27P", "2012ApJ...750L...9K", "2012MNRAS.424.1694B", "2013A&A...558A.118H", "2014A&A...571A..22P", "2014A&A...571A..24P", "2014arXiv1412.6980K", "2015APh....63...55A", "2015CQGra..32l4007D", "2015arXiv151107122Y", "2017ApJ...842...62S", "2018JLTP..193.1112G", "2018PhRvD..98l3518F", "2019A&C....2800307C", "2019ITIP...28.1625Z", "2019JCAP...10..053M", "2019PhRvD.100f3514F", "2020A&A...641A...4P", "2020ApJ...903..104P", "2020ApJ...905..143P", "2021JCAP...03..012V", "2021arXiv210307461Z", "2022A&A...666A..89C", "2022ApJS..260...13W", "2022MNRAS.514.3002A", "2022arXiv220308024A", "2022arXiv221211696C", "2023ApJ...945...77P", "2023ApJ...947...29Y", "2023ApJS..267....2Y", "2024ApJS..274....4Y", "2024JCAP...09..038G", "2024arXiv240619367S" ]
32553148
2501.06140
The GALAH survey: Improving chemical abundances using star clusters
Large spectroscopic surveys aim to consistently compute stellar parameters of very diverse stars while minimizing systematic errors. We explore the use of stellar clusters as benchmarks to verify the precision of spectroscopic parameters in the fourth data release (DR4) of the GALAH survey. We examine 58 open and globular clusters and associations to validate measurements of temperature, gravity, chemical abundances, and stellar ages. We focus on identifying systematic errors and understanding trends between stellar parameters, particularly temperature and chemical abundances. We identify trends by stacking measurements of chemical abundances against effective temperature and modelling them with splines. We also refitted spectra in three clusters with the Spectroscopy Made Easy and Korg packages to reproduce the trends in DR4 and to search for their origin by varying temperature and gravity priors, linelists, and spectral continuum. Trends are consistent between clusters of different ages and metallicities, can reach amplitudes of ~0.5 dex and differ for dwarfs and giants. We use the derived trends to correct the DR4 abundances of 24 and 31 chemical elements for dwarfs and giants, respectively, and publish a detrended catalogue. While we couldn't pinpoint the trends' origins, we found that: i) photometric priors affect derived abundances, ii) temperature, metallicity, and continuum levels are degenerate in spectral fitting, and it is hard to break the degeneracy even by using independent measurements, iii) the extent of the linelist used in spectral synthesis is essential for cool stars, and iv) different spectral fitting codes produce significantly different iron abundances for stars of all temperatures. We conclude that clusters can be used to characterise the systematic errors of parameters produced in large surveys, but further research is needed to explain the origin of the trends.
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8.950933
9.305064
2025-01-02
0
2025arXiv250106140K
[ "stellar clusters", "stellar parameters", "chemical abundances", "derived abundances", "different spectral fitting codes", "spectroscopic parameters", "effective temperature", "clusters", "Trends", "trends" ]
[ "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Solar and Stellar Astrophysics" ]
396
[ "10.48550/arXiv.2501.06140" ]
[ "Kos, Janez", "Buder, Sven", "Beeson, Kevin L.", "Bland-Hawthorn, Joss", "De Silva, Gayandhi M.", "D'Orazi, Valentina", "Freeman, Ken", "Hayden, Michael", "Lewis, Geraint F.", "Lind, Karin", "Martell, Sarah L.", "Sharma, Sanjib", "Zucker, Daniel B.", "Zwitter, Tomaž", "Stello, Dennis", "de Grijs, Richard" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1981MNRAS.194..809L", "1990ApJS...72..387S", "1995A&AS..112..525P", "1996A&AS..118..595V", "1999A&A...343..519M", "2002A&A...392..619H", "2002MNRAS.333..279L", "2006AJ....131.1163S", "2007A&A...461..261M", "2007SSRv..130..105G", "2008A&A...486..951G", "2009A&A...503..541L", "2009ARA&A..47..481A", "2009ApJ...694.1498M", "2011A&A...528A.103L", "2012AJ....144..120M", "2012MNRAS.427..127B", "2012ascl.soft05004P", "2013A&A...557A..26M", "2014MNRAS.444.2525C", "2014MNRAS.445.4287T", "2015A&A...582A..49H", "2015A&A...584L...2G", "2015ApJ...808...16N", "2015JATIS...1c5002S", "2015MNRAS.449.2604D", "2015MNRAS.452.1068C", "2015PhyS...90e4005R", "2016A&A...585A..75D", "2016A&A...586A.120O", "2016ApJ...817...49B", "2016MNRAS.455.3735A", "2016MNRAS.461.1000S", "2017A&A...597A..16P", "2017ApJ...835...77M", "2017ApJ...840...99D", "2017MNRAS.464..264A", "2017MNRAS.464.1259K", "2017MNRAS.465.3203M", "2017MNRAS.467.1313V", "2017MNRAS.468.1249M", "2018A&A...616A.181M", "2018A&A...620A.172Z", "2018ARA&A..56...83B", "2018ApJ...856..130O", "2018ApJ...858...31S", "2018MNRAS.475.2978F", "2018MNRAS.477.2966L", "2018MNRAS.478.4513B", "2018RNAAS...2..152J", "2019A&A...621A.115C", "2019A&A...628A.123Z", "2019A&A...631A.166K", "2019ARA&A..57..227K", "2019ApJ...879...69T", "2019MNRAS.483.3255L", "2019MNRAS.485.5666P", "2019Msngr.175....3D", "2020A&A...640A...1C", "2020A&A...642A..62A", "2020A&A...642A.182A", "2020A&A...643A.114C", "2020ApJ...895...52S", "2020ApJ...903...55P", "2021A&A...645A.106H", "2021A&A...649A...2L", "2021A&A...653A.141A", "2021A&A...654A.151C", "2021AJ....161..147B", "2021AJ....161..254S", "2021MNRAS.503.3279S", "2021MNRAS.505.5978V", "2021MNRAS.506..150B", "2021MNRAS.506.4232K", "2021MNRAS.506.4676M", "2022A&A...666A..43M", "2022A&A...667A.103Z", "2022A&A...668A...4F", "2022A&A...668A..16S", "2022MNRAS.511..341C", "2022MNRAS.516.3631G", "2022MNRAS.517.5325H", "2023A&A...669A..43G", "2023A&A...671A..61N", "2023A&A...671A.171W", "2023A&A...672A..46A", "2023A&A...674A..38G", "2023A&A...677A..59R", "2023AJ....165...68W", "2023MNRAS.519.3992Z", "2023MNRAS.525.3718S", "2023MNRAS.526.2378L", "2024A&A...686A..42H", "2024AJ....167...83W", "2024ApJ...975...89S", "2024MNRAS.528.1393S", "2024MNRAS.529.2483B", "2024MNRAS.530.2688J", "2024MNRAS.532.2860R", "2024MNRAS.534.3005G", "2024arXiv240919858B", "2024arXiv241012272B" ]
32559462
2501.06149
Understanding what helium absorption tells us about atmospheric escape from exoplanets
Atmospheric escape is now considered the major contributing factor in shaping the demographic of detected exoplanets. However, inferences about the exoplanet populations strongly depend on the accuracy of the models. Direct observational tests of atmospheric models are still in their infancy. Helium escape from planetary atmospheres has rapidly become the primary observational probe, already observed in ≳20 exoplanets. Grounding our understanding in the basic physics of atmospheric escape, we present a new theoretical model to predict the excess absorption from the helium absorption line. We constrain the atmosphere properties, such as mass-loss rates and outflow temperatures, by implementing a Parker wind solution with an energy limited evaporating outflow. Importantly, we self-consistently link the mass-loss rates and outflow temperatures, which are critical to understanding helium absorption as the triplet-level population is typically exponentially sensitive to temperature. Furthermore, helium absorption is typically optically thin and the absorption is dominated far from the planet. Therefore, the absorption depth is not a measure of the size of the helium outflow. Our simulations show that the helium triplet population in the atmosphere rapidly approaches a statistical equilibrium between populations by recombination and depopulation caused by electron collisions. We suggest that the helium excess absorption can be quantified by a scaled equivalent width, which positively correlates with the mass-loss rate. We also show that the helium absorption scales with incident radiation, particularly with the XEUV to FUV flux ratios.
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7.277181
14.500427
2025-01-02
0
2025MNRAS.tmp...82B
[ "helium absorption", "Helium escape", "Atmospheric escape", "atmospheric escape", "outflow temperatures", "atmospheric models", "populations", "planetary atmospheres", "the helium excess absorption", "the helium absorption line" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
375
[ "10.1093/mnras/staf073", "10.48550/arXiv.2501.06149" ]
[ "Ballabio, Giulia", "Owen, James E." ]
[ "Imperial Astrophysics, Imperial College London, Blackett Laboratory, Prince Consort Road, London SW7 2AZ, UK;", "Imperial Astrophysics, Imperial College London, Blackett Laboratory, Prince Consort Road, London SW7 2AZ, UK; Department of Earth, Planetary, and Space Sciences, University of California, Los Angeles, CA 90095, USA;" ]
null
[ "1958ApJ...128..664P", "1999isw..book.....L", "2000ApJ...537..916S", "2003ApJ...598L.121L", "2003Natur.422..143V", "2004A&A...419L..13B", "2004Icar..170..167Y", "2005A&A...436L..47B", "2005MNRAS.364..649F", "2007A&A...461.1185L", "2007P&SS...55.1426G", "2009ApJ...693...23M", "2010A&A...520A..27G", "2010ApJ...723..116K", "2012ApJ...761...59L", "2012MNRAS.422.2024J", "2012MNRAS.425.2931O", "2013ApJ...775..105O", "2013ApJ...776....2L", "2014ApJS..214...25F", "2016A&A...586A..75S", "2016A&A...589A..75M", "2016ApJ...816...34O", "2016ApJ...820...89F", "2016ApJ...824..101Y", "2016ApJ...824..102L", "2016ApJ...831..180C", "2016NatCo...711201L", "2017AJ....154..109F", "2017ApJ...847...29O", "2018AJ....156..264F", "2018ApJ...855L..11O", "2018MNRAS.476..759G", "2018MNRAS.479.4786V", "2018MNRAS.479.5012O", "2018Natur.557...68S", "2018Sci...362.1384A", "2018Sci...362.1388N", "2019A&A...629A.110A", "2019AREPS..47...67O", "2019ApJ...873...89M", "2019ApJ...881..133O", "2019MNRAS.487...24G", "2020A&A...636A..13L", "2020AJ....159..115K", "2020AJ....159..278V", "2020ApJ...890...88O", "2020MNRAS.493..792G", "2021AJ....162..116R", "2021AJ....162..284S", "2021ApJ...914...99W", "2021MNRAS.503.1526R", "2021MNRAS.504.4634G", "2022A&A...659A..62D", "2022A&A...667A..54L", "2022AJ....163...68Z", "2022AJ....164...24K", "2022ApJ...926..226M", "2022MNRAS.512.1751P", "2022MNRAS.516.4585G", "2023AJ....165...62Z", "2023ApJ...947L..19R", "2023ApJ...953L..25Z", "2023IAUS..370...56D", "2023MNRAS.518.4357O", "2023MNRAS.523..286S", "2023SciA....9F8736Z", "2024A&A...682A.115B", "2024A&A...683L...2H", "2024A&A...688A..43L", "2024A&A...689A.179O", "2024AJ....167..142G", "2024AJ....168..102A", "2024AJ....168..141M", "2024ApJ...960..123T", "2024MNRAS.527.4657A", "2024MNRAS.527.5117S", "2024MNRAS.528.1615O", "2024MNRAS.529.2716R", "2024arXiv240303325B", "2024arXiv240515221M", "2024arXiv241003228L", "2024arXiv241019381N", "2024arXiv241205258S" ]
32553166
2501.06156
Modeling the Impact of Moderate External UV Irradiation on Disk Chemistry
The chemistry within a protoplanetary disk is greatly affected by external radiation from the local stellar environment. Previous work has focused on extreme radiation fields, representative of the center of something like the Orion Nebula Cluster. However, even in such environments, many disks exist at the edges of a cluster where the lower stellar density leads to radiation fields weaker by orders of magnitude compared to the center. We present new chemical models of a T-Tauri disk in the presence of a moderately increased interstellar radiation field (ISRF). Such an environment has a background UV strength of 10 to 100 times higher than the galactic average ISRF. Moderate radiation fields are among the most prevalent disk-harboring environments and have interesting implications for the chemistry of the outer disk radii. We find that the external UV radiation creates an outer ionization front that impacts the cold disk chemistry to varying degrees, depending on outer disk structure. Certain molecules like C$^+$, N$_2$H$^+$, C, and CS are more strongly impacted by the ISRF in their abundance, column density, and observable emission. Other abundant species like HCO$^+$ and CO are less affected by the external UV flux in the outer disk under such moderate UV conditions. Further, we demonstrate that the chemistry occurring in the inner tens of au is relatively unchanged, which suggests that even in moderately externally irradiated disks, the inner disk chemistry may be more similar to isolated disks like those in, e.g., the Taurus and Lupus star-forming regions.
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10.211411
12.591114
2025-01-02
0
2025arXiv250106156G
[ "outer disk structure", "isolated disks", "many disks", "radiation fields", "Moderate radiation fields", "extreme radiation fields", "external radiation", "such moderate UV conditions", "the inner disk chemistry", "such environments" ]
[ "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Solar and Stellar Astrophysics" ]
307
[ "10.48550/arXiv.2501.06156" ]
[ "Gross, Rachel E.", "Cleeves, L. Ilsedore" ]
[ "-", "-" ]
null
[ "1968BAN....19..421H", "1974MNRAS.168..603L", "1985ApJ...291..722T", "1996A&A...311..690L", "1998ApJ...499..758J", "2003ARA&A..41...57L", "2003ApJ...591L.159B", "2004ApJ...611..360A", "2004MNRAS.350..565H", "2005A&A...432..369S", "2005ApJ...621L..33O", "2006FaDi..133..231V", "2008ApJ...675.1361F", "2008CP....343..292V", "2009A&A...495..881V", "2009ApJ...690.1539G", "2010A&A...523A..25B", "2010ARA&A..48...47A", "2011ApJ...726...29F", "2011ApJ...739...78B", "2011ApJ...740....7B", "2012A&A...541A..91B", "2012AJ....143...91K", "2012ApJ...747..114W", "2012ApJ...757...78M", "2013A&A...559A..46B", "2013ApJ...766L..23W", "2013Sci...341..630Q", "2014ApJ...784...82M", "2014ApJ...796..120W", "2014Sci...345.1590C", "2015ApJ...799..204C", "2015ApJ...807....2C", "2015ApJ...808...69B", "2016ApJ...816L..21C", "2016ApJ...819...13C", "2016ApJ...831..101B", "2016ApJ...832..110C", "2017A&A...599A.101V", "2017A&A...602A.105H", "2017AJ....153..233F", "2017MNRAS.468L.108H", "2018ApJ...860...77E", "2018MNRAS.475.5460H", "2018MNRAS.478.2700W", "2019ApJ...882..160Q", "2019MNRAS.485.1489W", "2019MNRAS.490.5478W", "2020ApJ...894...74B", "2020RSOS....701271P", "2021ApJ...909...55A", "2021ApJ...912..136S", "2021ApJ...913...95P", "2021ApJS..257....7B", "2021ApJS..257...11B", "2021ApJS..257...13A", "2022ApJ...926L...2T", "2022ApJ...932..114L", "2023A&A...669A.126P", "2023A&A...678A.146B", "2023ApJ...947....7B", "2023ApJ...959L..27L", "2024ApJ...969..165D", "2024ApJ...972...88L", "2024MNRAS.528..388K" ]
32553170
2501.06169
Using a minimally parametrised SHAM to constrain the link between dark matter and galaxies
Models of the galaxy-halo connection are needed to understand both galaxy clusters and large scale structure. To make said models, we need a robust method that assigns galaxies to halos and matches the observed and simulated stellar-halo mass relation. We employ an empirical Subhalo Abundance Matching (SHAM) model implemented in the halos module of SkyPy which assigns blue and red galaxies based on the Peng et al. (2010) (arXiv:1003.4747v2) model containing three parameters: $M_\mu$ (halo mass where half the galaxies assigned should be quenched), $\sigma$ (transition width from star forming to quenched) and $b$ (baseline quenched fraction at low mass). We test two sets of galaxy stellar mass functions for four populations of galaxies (central/satellite, blue/red) and run parameter estimation using Approximate Bayesian Computation over each model when compared to a set of applicable literature models. For the Weigel et al. (2016) (arXiv:1604.00008v1) galaxies we find best fit values of log $M_\mu = 11.94^{+0.02}_{-0.02}$, $\sigma = 0.49^{+0.04}_{-0.04}$ and $b = 0.31^{+0.01}_{-0.01}$. For the Birrer et al. (2014) (arXiv:1401.3162v2) galaxies we find best fit values of log $M_\mu = 11.93^{+0.01}_{-0.01}$, $\sigma = 0.53^{+0.04}_{-0.04}$ and $b = 0.51^{+0.05}_{-0.04}$. Overall, we demonstrate that these constraints produce a model that is consistent with literature models for the central galaxies. Future research will focus on the normalisation of the satellite galaxies in order to better constrain the $b$ parameter.
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11.742223
5.23847
2025-01-02
0
2025arXiv250106169D
[ "galaxy stellar mass functions", "galaxies", "literature models", "applicable literature models", "said models", "Models", "best fit values", "parameter estimation", "blue and red galaxies", "Approximate Bayesian Computation" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
277
[ "10.48550/arXiv.2501.06169" ]
[ "Davidson, F. L.", "Bacon, D.", "Amara, A.", "Koyama, K.", "Hartley, W. G.", "de la Bella, L. F.", "Tam, S. I.", "Umetsu, K.", "Noller, J." ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1974ApJ...187..425P", "1976ApJ...203..297S", "1991ApJ...379...52W", "1991ApJ...381...14L", "1997ApJ...490..493N", "1999MNRAS.308..119S", "2000MNRAS.318..203S", "2004ApJ...609...35K", "2004MNRAS.348..333D", "2004MNRAS.353..189V", "2005AJ....129.2562B", "2006MNRAS.368...21L", "2007ApJ...671..153Y", "2008ApJ...674.1217P", "2008ApJ...688..709T", "2009MNRAS.392.1080S", "2010ApJ...710..903M", "2010ApJ...717..379B", "2010ApJ...721..193P", "2011ApJ...740..102K", "2011MNRAS.410.2309G", "2012ApJ...752...41Y", "2012ApJ...756....2R", "2012ApJ...757....4P", "2013ApJ...770...57B", "2013MNRAS.428.3121M", "2014ApJ...793...12B", "2015ApJ...799..130R", "2015arXiv150303973Y", "2015ascl.soft04014A", "2016JOSS....1...24F", "2016MNRAS.459.2150W", "2018AJ....156..123A", "2018ARA&A..56..435W", "2018ApJS..239...35D", "2018MNRAS.476..741D", "2018MNRAS.477.1822M", "2018PhR...733....1D", "2019MNRAS.488.3143B", "2020A&A...641A...6P", "2021JOSS....6.3056A", "2021MNRAS.501.3215O", "2021MNRAS.506.3205S", "2021arXiv211211110D", "2022ApJ...925..145T" ]
32559528
2501.06185
QPEs as Lense-Thirring precession of super-Eddington flows
Quasi-periodic eruptions (QPEs) are a recently identified class of X-ray transient associated with tidal disruption events by supermassive black holes, and for which there are multiple possible explanations. In this paper we present a simple model which requires the black hole be spinning, be misaligned with the accretion flow (both conditions of which are almost certainly met) and that the accretion rate is a few times the Eddington limit. We speculate that the resulting Lense-Thirring torques force the disc and entrained outflows to precess, leading to increased X-ray flux when the wind-cone is oriented at lower inclinations to the observer. We test the range of parameters for which this model could explain the period and brightness of the QPE events discovered thus far, and make qualitative comparisons between the observed X-ray spectra and lightcurves to those extracted from GR-RMHD simulations. Overall, we find some areas of promising concordance, and identify challenges related to the details of current simulations.
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16.931263
7.013546
2025-01-02
0
2025MNRAS.tmp...44M
[ "X-ray transient", "increased X-ray flux", "supermassive black holes", "tidal disruption events", "promising concordance", "qualitative comparisons", "multiple possible explanations", "current simulations", "the observed X-ray spectra", "lower inclinations" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
391
[ "10.1093/mnras/staf052", "10.48550/arXiv.2501.06185" ]
[ "Middleton, M.", "Gúrpide, A.", "Kwan, T. M.", "Dai, L.", "Arcodia, R.", "Chakraborty, J.", "Dauser, T.", "Fragile, P. C.", "Ingram, A.", "Miniutti, G.", "Pinto, C.", "Kosec, P." ]
[ "School of Physics, and Astronomy, University of Southampton, Southampton, Southampton SO17 1BJ, UK", "School of Physics, and Astronomy, University of Southampton, Southampton, Southampton SO17 1BJ, UK", "Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong;", "Department of Physics, The University of Hong Kong, Pokfulam Road, Hong Kong;", "Center for Astrophysics, Harvard &amp; Smithsonian, Cambridge, MA, USA;", "Center for Astrophysics, Harvard &amp; Smithsonian, Cambridge, MA, USA", "Dr. Karl Remeis-Observatory and Erlangen Centre for Astroparticle Physics, Sternwartstr. 7, 96049 Bamberg, Germany", "Department of Physics &amp; Astronomy, College of Charleston, Charleston, SC, USA", "School of Mathematics, Statistics and Physics, Newcastle University, Herschel Building, Newcastle upon Tyne, NE1 7RU, UK;", "Centro de Astrobiología (CAB), CSIC-INTA, Camino Bajo del Castillo s/n, 28692 Villanueva de la Cañada, Madrid, Spain", "INAF, IASF, Palermo, Italy", "Center for Astrophysics, Harvard &amp; Smithsonian, Cambridge, MA, USA" ]
null
[ "1973A&A....24..337S", "1979Natur.279..701A", "1996ASPC..101...17A", "1996MNRAS.281..357P", "1998ApJ...495..189C", "1999ApJ...516...97N", "2000ApJ...537..152K", "2000ApJ...542..914W", "2006ApJ...651..366K", "2007ApJ...668..417F", "2007MNRAS.377.1187P", "2008Natur.455..369G", "2010MNRAS.402.1614D", "2010MNRAS.403....9M", "2012ApJ...752..154T", "2012MNRAS.420.1825J", "2012PhRvL.108f1302S", "2013ApJ...776L..10L", "2013MNRAS.434.2948D", "2013PASP..125..306F", "2014MNRAS.438L..51M", "2014MNRAS.441.3177M", "2015MNRAS.446.1312M", "2015MNRAS.447.3243M", "2015MNRAS.454.3134M", "2016A&A...594A.116H", "2016MNRAS.455.1946F", "2016MNRAS.457.1568M", "2016Natur.533...64P", "2017MNRAS.466.2236D", "2017PASJ...69...92K", "2018ApJ...859L..20D", "2018MNRAS.473..431M", "2018MNRAS.475..154M", "2019MNRAS.487.4965Z", "2019MNRAS.489..282M", "2019Natur.573..381M", "2019Sci...363..531P", "2020A&A...636L...2G", "2021ApJ...908....4V", "2021ApJ...909...82R", "2021ApJ...920L..25S", "2021ApJ...921L..32X", "2021ApJ...921L..40C", "2021MNRAS.501.5478A", "2021MNRAS.503.1703I", "2021MNRAS.508.3569K", "2021Natur.592..704A", "2021SSRv..217...12D", "2022A&A...659L...2W", "2022A&A...661A..55Z", "2022A&A...662A..49A", "2022ApJ...926..101M", "2022ApJ...933..225W", "2022ApJ...934L...7R", "2022ApJ...937L..28T", "2022ApJ...941...24K", "2022MNRAS.509.1119M", "2023A&A...670A..93M", "2023A&A...674L...1M", "2023A&A...675A.100F", "2023A&A...675A.152Q", "2023ApJ...945...86L", "2023ApJ...952...32P", "2023ApJ...957...34L", "2023ApJ...957L...9T", "2023MNRAS.524.1269K", "2023MNRAS.524.6247L", "2023MNRAS.526...69T", "2023MNRAS.526L..31K", "2024A&A...684A..64A", "2024A&A...690A..80A", "2024A&A...692A..15G", "2024ApJ...965...12C", "2024ApJ...973...45A", "2024ApJ...973..101L", "2024ApJ...974..166M", "2024MNRAS.528.1142B", "2024Natur.630..325P", "2024Natur.634..804N", "2024PhRvD.110h3019Z", "2024arXiv240916908B", "2025ApJ...978...10K", "2025ApJ...978...91Y" ]
32553195
2501.06188
The Radiowave Hunt for Young Stellar Object Emission and Demographics (RADIOHEAD): A Radio Luminosity${-}$Spectral Type Dependence in Taurus${-}$Auriga YSOs
We measure the radio continuum fluxes at the locations of all Gaia${-}$confirmed members of Taurus${-}$Auriga using Karl G. Jansky Very Large Array Sky Survey data (VLASS; 2${-}$4 GHz, $\sigma_{\rm{VLASS}}{\sim}110{-}140 \mu$Jy, $2.5''$ resolution) spanning 3 VLASS epochs (2019, 2021, and 2023). We present 35 detections coincident with young Taurus${-}$Auriga stars (29 in individual VLASS images, 6 via stacking). We find a strong dependence on spectral type, wherein the fractional detection rate of radio emission coincident with early-type young stellar objects (YSOs) is systematically higher than late-type YSOs, ranging from 25% $\pm$ 13% for B${-}$F YSOs, 21% $\pm$ 11% for G YSOs, 18.4% $\pm$ 6.3% for K0${-}$K4 YSOs, 15.5% $\pm$ 5.4% for K5${-}$K9 YSOs, 7.0% $\pm$ 2.7% for M0${-}$M2 YSOs, 2.3% $\pm$ 0.9% for M3${-}$M6 YSOs, and 1.9% $\pm$ 1.9% for YSOs with SpTs later than M7. We present cumulative density distributions of radio luminosity densities that demonstrate a significant luminosity enhancement for early- versus late-type YSOs. We find 25% of the detected sources to be significantly variable. We discuss possible interpretations of this dependence, which may reflect stellar magnetic activity, binary interactions, or stellar flaring. We find that mid-infrared YSO class is a strong indicator of radio detectability consistent with higher frequency Taurus-Auriga VLA surveys, with class III stars detected at a rate of 8.8% $\pm$ 1.6%, class IIs at 2.0% $\pm$ 1.2%, and combined class 0s, Is and Fs at 8.0% $\pm$ 5.4%.
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9.348515
11.909447
2025-01-02
0
2025arXiv250106188R
[ "radio luminosity densities", "radio emission coincident", "radio detectability", "mid-infrared YSO class", "spectral type", "individual VLASS images", "stellar magnetic activity", "combined class", "class IIs", "B${-}$F YSOs" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Astrophysics of Galaxies" ]
322
[ "10.48550/arXiv.2501.06188" ]
[ "Rahman, Ramisa Akther", "Bennett Lovell, Joshua", "Koch, Eric W.", "Wilner, David J.", "Andrews, Sean M.", "Monsch, Kristina", "Ha, Dan" ]
[ "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1984ApJ...280L..23S", "1984ApJ...282..699B", "1985ApJ...293..192F", "1986AJ.....92..895K", "1990AJ....100.1610O", "1991ApJ...382..261P", "1992A&A...257..557W", "1992ApJ...401..667A", "1993ApJ...405L..63G", "1994A&A...285..621B", "1995ApJS..101..117K", "1996A&A...312..439W", "1998A&AS..132..173L", "1998AJ....116.2953A", "2000ApJ...534L.101W", "2002A&A...382..152M", "2002ARA&A..40..217G", "2003AJ....125..858J", "2003AJ....125.2123W", "2004ApJ...616..998W", "2005ASPC..347...29T", "2006A&A...446..211R", "2006A&A...446..485G", "2006A&A...453..959M", "2006AJ....131.1163S", "2007A&A...468..353G", "2007ASPC..376..127M", "2009ApJ...703.1964F", "2009ApJS..181..321E", "2010A&A...521A..32S", "2010ApJS..186..111L", "2010ApJS..186..259R", "2011ARA&A..49...67W", "2012ApJ...745..119N", "2012ApJ...751L..42P", "2013A&A...558A..33A", "2013ARA&A..51..269D", "2013ApJ...766...53L", "2013ApJ...771..110M", "2013ApJ...771..129A", "2013ApJ...775...63D", "2014A&A...571A...1P", "2014ApJ...784..126E", "2014ApJ...786...97H", "2014ApJ...790...49K", "2015ApJ...801...91D", "2015ApJ...805....9O", "2016A&A...590A...1R", "2016A&A...595A...2G", "2016A&ARv..24....6B", "2016ApJ...818..116P", "2017AJ....153...46L", "2017AJ....153..209R", "2017ApJ...838..150K", "2017ApJS..230....7P", "2018A&A...616A...1G", "2018A&ARv..26....3A", "2018AJ....156..123A", "2018ApJ...869...17L", "2019A&A...630A.137G", "2019AJ....158...54E", "2019JOSS....4.1317D", "2020A&A...641A.136W", "2020A&A...643A.148G", "2020AJ....160..186L", "2020PASP..132c5001L", "2021A&A...649A...1G", "2021AJ....162..110K", "2021ApJ...921...72M", "2021MNRAS.500.4878L", "2022A&A...664A.105F", "2022AJ....163...25L", "2022AJ....163...64E", "2022AJ....164..151L", "2022ApJ...931...43L", "2022ApJ...935..167A", "2023A&A...674A...1G", "2023AJ....165...37L", "2023ApJ...959..140M", "2023MNRAS.522.1394G", "2024AJ....168..288A", "2024ApJ...962L..12L", "2024arXiv240814612D" ]
32553489
2501.06249
Scalable Cosmic AI Inference using Cloud Serverless Computing with FMI
Large-scale astronomical image data processing and prediction is essential for astronomers, providing crucial insights into celestial objects, the universe's history, and its evolution. While modern deep learning models offer high predictive accuracy, they often demand substantial computational resources, making them resource-intensive and limiting accessibility. We introduce the Cloud-based Astronomy Inference (CAI) framework to address these challenges. This scalable solution integrates pre-trained foundation models with serverless cloud infrastructure through a Function-as-a-Service (FaaS) Message Interface (FMI). CAI enables efficient and scalable inference on astronomical images without extensive hardware. Using a foundation model for redshift prediction as a case study, our extensive experiments cover user devices, HPC (High-Performance Computing) servers, and Cloud. CAI's significant scalability improvement on large data sizes provides an accessible and effective tool for the astronomy community. The code is accessible at https://github.com/UVA-MLSys/AI-for-Astronomy.
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10.594236
4.435742
2025-01-02
0
2025arXiv250106249S
[ "pre-trained foundation models", "modern deep learning models", "astronomical images", "high predictive accuracy", "substantial computational resources", "large data sizes", "redshift prediction", "serverless cloud infrastructure", "CAI", "celestial objects" ]
[ "Computer Science - Computer Vision and Pattern Recognition", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
259
[ "10.48550/arXiv.2501.06249" ]
[ "Staylor, Mills", "Dolatpour Fathkouhi, Amirreza", "Khairul Islam, Md", "O'Hara, Kaleigh", "Ghiles Goudjil, Ryan", "Fox, Geoffrey", "Fox, Judy" ]
[ "-", "-", "-", "-", "-", "-", "-" ]
null
[ "2011ApJS..193...29A", "2013MNRAS.435.2835W", "2018arXiv181004805D", "2020CSE....22c..52G", "2020arXiv201011929D", "2022ExA....53....1S" ]
32553501
2501.06257
Resolution Limiting Factors in Low-Energy Cascade Zenith Reconstruction with the IceCube Upgrade
The IceCube Neutrino Observatory includes low energy extensions such as the existing DeepCore subarray and the upcoming IceCube Upgrade, which will consist of seven new strings of photosensors with denser instrumentation than the existing array. The setup will allow for the study of neutrino oscillations with greater sensitivity compared to the existing instrumentation, improve neutrino mass ordering studies, and test for the unitarity of the PMNS mixing matrix with high precision. A critical component in these low-energy physics analyses is the accurate reconstruction of event information, particularly the zenith angle of incoming neutrinos. In this study, we discuss the processes that limit the zenith resolution, which include the transverse spread of the hadronic shower, in-ice photon scattering, module resolutions, and module noise. By considering approximations to these processes, we aim to approach the intrinsic zenith resolution limits for purely hadronic events.
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5.517846
-0.725593
2025-01-02
0
2025arXiv250106257D
[ "neutrino mass ordering studies", "low energy extensions", "module resolutions", "denser instrumentation", "neutrino oscillations", "IceCube Upgrade", "event information", "incoming neutrinos", "greater sensitivity", "the intrinsic zenith resolution limits" ]
[ "Physics - Instrumentation and Detectors", "Astrophysics - High Energy Astrophysical Phenomena", "High Energy Physics - Experiment" ]
233
[ "10.48550/arXiv.2501.06257" ]
[ "Dutta, Kaustav", "Böser, Sebastian", "Weldert, Jan", "Rongen, Martin" ]
[ "-", "-", "-", "-" ]
null
[ "1937PhRv...52..378C", "2010NIMPA.614...87A", "2010NIMPA.618..139A", "2013APh....44..102R", "2013NIMPA.711...73A", "2017JHEP...05..008A", "2017JInst..12P3012A", "2019ICRC...36.1031I", "2019PhRvL.122d1101B", "2020JInst..15P6032A", "2020NIMPA.97063678L", "2020PTEP.2020h3C01P", "2020PhRvL.125n1801A", "2021JInst..16C2007L", "2021PhRvD.104g2006A", "2022ARNPS..72..365K", "2022EPJC...82..807A", "2022JInst..17P1003A", "2022icrc.confE1053M", "2024JInst..19P7038A", "2024TCry...18...75A" ]
32553506
2501.06260
Soft Error Rate in Space: A Unified Analytical Approach
A new physics-based model for analytical calculation of Soft Error Rate (SER) in digital memory circuits under the influence of heavy ions in space orbits is proposed. This method is based on parameters that are uniquely determined from the results of ground tests under nor-mal ion incidence. It is shown that preliminary averaging over the total solid angle within the standard inverse cosine model allows one to take into account the effect of isotropic flow, which increases the effective SER. The model includes the ability to estimate the contribution to SER of the low LET spectrum region, which is very important for modern ICs with low Single Event Upset tolerance.
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9.893755
3.339661
2025-01-02
0
2025arXiv250106260Z
[ "heavy ions", "digital memory circuits", "Soft Error Rate", "Single Event Upset", "isotropic flow", "ground tests", "SER", "modern ICs", "analytical calculation", "preliminary averaging" ]
[ "Physics - Applied Physics", "Astrophysics - Instrumentation and Methods for Astrophysics", "Condensed Matter - Materials Science", "High Energy Physics - Phenomenology", "Physics - Instrumentation and Detectors" ]
285
[ "10.48550/arXiv.2501.06260" ]
[ "Zebrev, G. I.", "Samotaev, N. N.", "Useinov, R. G.", "Mateiko, A. A.", "Rodin, A. S." ]
[ "-", "-", "-", "-", "-" ]
null
[ "1980ITNS...27..941B", "1983ITNS...30.4533P", "1988ITNS...35.1570B", "1997ITNS...44.2150T", "2001ITNS...48.1893D", "2010ITNS...57.3725Z", "2013ITNS...60.1824P", "2015NIMPA.775...41Z", "2017ITNS...64.2129Z" ]
32552030
2501.06290
A Catalog of Stellar and Dust Properties for 500,000 Stars in the Southwest Bar of the Small Magellanic Cloud
We present a catalog of individual stellar and dust extinction properties along close to 500,000 sight lines in the southwest bar of the Small Magellanic Cloud (SMC). The catalog is based on multiband Hubble Space Telescope photometric data spanning near-ultraviolet to near-infrared wavelengths from the Small Magellanic Cloud Investigation of Dust and Gas Evolution survey (SMIDGE) covering a 100 × 200 pc area. We use the probabilistic technique of the Bayesian Extinction And Stellar Tool (BEAST) to model the spectral energy distributions of individual stars in SMIDGE and include the effects of observational uncertainties in the data. We compare BEAST-derived dust extinction properties with tracers of the interstellar medium, such as the emission from the <SUP>12</SUP>CO (2–1) transition (I(CO)), the dust mass surface density (Σ<SUB>dust</SUB>) from far-IR emission, the H I column density (N(H I)) from the 21 cm transition, and the mass fraction of polycyclic aromatic hydrocarbons (PAHs; q <SUB>PAH</SUB>, derived from IR emission). We find that the dust extinction (A(V)) in the SMIDGE field is strongly correlated with Σ<SUB>dust</SUB> and I(CO), and less so with N(H I) and q <SUB>PAH</SUB>, and suggest potential explanations. Our extinction measurements are also sensitive to the presence of the 2175 Å bump in the extinction curve toward UV bright stars. While most do not show evidence for the bump, we identify ∼200 lines of sight that are 2175 Å bump candidates. Furthermore, we find distinct structures in the dust extinction–distance distributions that provide insights into the 3D geometry of the SMC.
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11.279202
9.380595
2025-01-02
0
2025ApJ...978..144Y
[ "multiband Hubble Space Telescope photometric data", "individual stellar and dust extinction properties", "BEAST-derived dust extinction properties", "IR emission", "individual stars", "SMIDGE", "Hubble Space Telescope", "distance distributions", "UV bright stars", "polycyclic aromatic hydrocarbons" ]
[ "Interstellar dust", "Interstellar dust extinction", "Interstellar medium", "Small Magellanic Cloud", "Hertzsprung Russell diagram", "Magellanic Clouds", "Dwarf galaxies", "Galaxy structure", "Spectral energy distribution", "Stellar properties", "836", "837", "847", "1468", "725", "990", "416", "622", "2129", "1624", "Astrophysics - Astrophysics of Galaxies" ]
324
[ "10.3847/1538-4357/ad8eb7", "10.48550/arXiv.2501.06290" ]
[ "Yanchulova Merica-Jones, Petia", "Gordon, Karl", "Sandstrom, Karin", "Murray, Claire E.", "Clifton Johnson, L.", "Dalcanton, Julianne J.", "Roman-Duval, Julia", "Chastenet, Jeremy", "Williams, Benjamin F.", "Weisz, Daniel R.", "Dolphin, Andrew E." ]
[ "Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA", "Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA; Sterrenkundig Observatorium, Universiteit Gent, Gent, Belgium", "Department of Astronomy &amp; Astrophysics, University of California San Diego, 9500 Gilman Drive, La Jolla, San Diego, CA 92093, USA", "Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA; Department of Physics &amp; Astronomy, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, USA", "Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA) and Department of Physics and Astronomy, Northwestern University, 1800 Sherman Avenue, Evanston, IL 60201, USA", "Astronomy Department, University of Washington, Seattle, WA 98195, USA; Center for Computational Astrophysics, Flatiron Institute, 162 Fifth Avenue, New York, NY 10010, USA", "Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, MD 21218, USA", "Sterrenkundig Observatorium, Universiteit Gent, Gent, Belgium", "Astronomy Department, University of Washington, Seattle, WA 98195, USA", "Department of Astronomy, University of California, 501 Campbell Hall #3411, Berkeley, CA 94720-3411, USA", "Raytheon; 1151 E. Hermans Road, Tucson, AZ 85756, USA; Steward Observatory, University of Arizona, 933 N. Cherry Avenue, Tucson, AZ 85719, USA" ]
null
[ "1982A&A...113L..15L", "1984IAUS..108..353D", "1989ApJ...345..245C", "1992ApJ...384..508R", "1993A&A...271....1R", "1994A&A...292..371L", "1996ApJ...460L...1L", "1997AJ....114.1002Z", "1997ApJ...491L..11A", "1998AcA....48..147U", "1998ApJ...500..816G", "1999A&A...348..728R", "1999ApJ...515..128M", "1999PASP..111...63F", "2001ApJ...550..713M", "2001MNRAS.322..231K", "2002AJ....123..855Z", "2002MNRAS.332...91D", "2003A&A...400...21R", "2003ApJ...588..871C", "2003ApJ...594..279G", "2003ApJ...598..369V", "2003ApJS..146..417L", "2003MNRAS.339..105M", "2004ApJ...602..291W", "2004ApJ...616..912V", "2005A&A...429.1025L", "2005ApJ...628L..29E", "2005MNRAS.357..304H", "2006ApJ...636..753S", "2007ARA&A..45..565M", "2007ApJ...657..810D", "2007ApJ...663..866D", "2007ApJ...668..949B", "2007ApJS..169...83L", "2007CSE.....9...90H", "2008A&A...479..453Z", "2008ApJ...686..363H", "2008MNRAS.388.1595D", "2009A&A...496..399S", "2009A&A...508L..35K", "2009ssc..book.....G", "2010ApJ...715..701S", "2011A&A...527A.116C", "2011A&A...536A..88G", "2011AJ....142..102G", "2011ApJ...737...12L", "2011CSE....13b..22V", "2012A&A...541A..54M", "2012A&ARv..20...55H", "2012AJ....144..107H", "2012ApJ...745..173W", "2012ApJS..200...18D", "2012MNRAS.421.2109B", "2012MNRAS.427..127B", "2013A&A...554A.103P", "2013A&A...558A..33A", "2013AJ....146...62M", "2013ARA&A..51..207B", "2013ApJ...775...83C", "2013EP&S...65..213A", "2013MNRAS.428.1606F", "2013MNRAS.431..364W", "2013MNRAS.434..488M", "2014A&A...561A.122L", "2014A&A...563A..31R", "2014ARA&A..52..415M", "2014ApJ...780..172D", "2014ApJ...797...85G", "2014ApJ...797...86R", "2014ApJS..215....2H", "2014MNRAS.445..175G", "2014PASP..126..711B", "2015ApJ...814....3D", "2015ApJ...815...14C", "2015MNRAS.449.3274F", "2015MNRAS.450.2708L", "2016A&A...586A.132P", "2016AcA....66..149J", "2016ApJ...816...49S", "2016ApJ...825....5S", "2016ApJ...825...20B", "2016ApJ...826..104G", "2016ascl.soft08013D", "2017A&A...601A..55C", "2017AJ....154..199N", "2017AcA....67....1J", "2017ApJ...838...36S", "2017ApJ...847..102Y", "2018A&A...616A...1G", "2018MNRAS.478..651G", "2018MNRAS.478.5017R", "2019A&A...623A...5D", "2019ApJ...871..151R", "2019ApJ...876...62C", "2019ApJ...886..108F", "2020ApJ...889..150A", "2021A&A...649A...1G", "2021ApJ...907...50Y", "2021ApJ...921...35C", "2021ApJS..253...53W", "2022ApJ...928...90R", "2022ApJS..259...20H", "2022PASA...39....5P", "2023A&A...672A.153S", "2023ApJ...946...42C", "2023ApJ...950...86G", "2023MNRAS.518.6011D", "2024ApJ...962..120M", "2024ApJ...970...51G", "2024ApJS..275....5M" ]
32553529
2501.06293
LensNet: Enhancing Real-time Microlensing Event Discovery with Recurrent Neural Networks in the Korea Microlensing Telescope Network
Traditional microlensing event vetting methods require highly trained human experts, and the process is both complex and time-consuming. This reliance on manual inspection often leads to inefficiencies and constrains the ability to scale for widespread exoplanet detection, ultimately hindering discovery rates. To address the limits of traditional microlensing event vetting, we have developed LensNet, a machine learning pipeline specifically designed to distinguish legitimate microlensing events from false positives caused by instrumental artifacts, such as pixel bleed trails and diffraction spikes. Our system operates in conjunction with a preliminary algorithm that detects increasing trends in flux. These flagged instances are then passed to LensNet for further classification, allowing for timely alerts and follow-up observations. Tailored for the multi-observatory setup of the Korea Microlensing Telescope Network (KMTNet) and trained on a rich dataset of manually classified events, LensNet is optimized for early detection and warning of microlensing occurrences, enabling astronomers to organize follow-up observations promptly. The internal model of the pipeline employs a multi-branch Recurrent Neural Network (RNN) architecture that evaluates time-series flux data with contextual information, including sky background, the full width at half maximum of the target star, flux errors, PSF quality flags, and air mass for each observation. We demonstrate a classification accuracy above 87.5%, and anticipate further improvements as we expand our training set and continue to refine the algorithm.
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8.436475
7.012532
2025-01-02
0
2025arXiv250106293V
[ "legitimate microlensing events", "Traditional microlensing event vetting methods", "further classification", "widespread exoplanet detection", "flux errors", "Recurrent Neural Network", "further improvements", "LensNet", "early detection", "pixel bleed trails" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics", "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Astrophysics of Galaxies", "Computer Science - Artificial Intelligence", "85-08", "J.2" ]
384
[ "10.48550/arXiv.2501.06293" ]
[ "Viaña, Javier", "Hwang, Kyu-Ha", "de Beurs, Zoë", "Yee, Jennifer C.", "Vanderburg, Andrew", "Albrow, Michael D.", "Chung, Sun-Ju", "Gould, Andrew", "Han, Cheongho", "Jung, Youn Kil", "Ryu, Yoon-Hyun", "Shin, In-Gu", "Shvartzvald, Yossi", "Yang, Hongjing", "Zang, Weicheng", "Cha, Sang-Mok", "Kim, Dong-Jin", "Kim, Seung-Lee", "Lee, Chung-Uk", "Lee, Dong-Joo", "Lee, Yongseok", "Park, Byeong-Gon", "Pogge, Richard W." ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1986ApJ...304....1P", "1992ApJ...396..104G", "1994AcA....44..227U", "1994ApJ...426L..69U", "1996ApJ...461...84A", "2000AcA....50..421W", "2001MNRAS.327..868B", "2004ApJ...606L.155B", "2005ApJ...628L.109U", "2006Natur.439..437B", "2009arXiv0912.0201L", "2013A&A...549A.147B", "2013MNRAS.431.2975A", "2013arXiv1304.3455G", "2014ApJ...788...48S", "2014arXiv1412.6980K", "2015ApJS..216...12W", "2016JKAS...49...37K", "2016MNRAS.457.4089S", "2016MNRAS.458.3012W", "2017PASP..129j4502K", "2017arXiv170804058L", "2018AJ....155...76K", "2018MNRAS.476.2962N", "2018arXiv180403352K", "2018arXiv180607545K", "2019A&C....2800298G", "2019AJ....158..257B", "2019ASPC..523..127C", "2019ApJ...871...70D", "2019ApJS..241....3P", "2019PASP..131a8002B", "2019PASP..131a8003M", "2019PASP..131g8001G", "2020A&A...633A..98W", "2020AcA....70..169M", "2020ApJ...897..180Z", "2021AJ....162..163Z", "2021AJ....162..180Y", "2021RAA....21..239Z", "2022A&A...657A..18R", "2022ApJ...933...83S", "2022ApJ...933L..23L", "2022ApJ...937L..24M", "2022arXiv220112209G", "2023arXiv230613792S", "2025ApJS..276...10A" ]
32559192
2501.06295
VIRAC2: NIR astrometry and time series photometry for 500M+ stars from the VVV and VVVX surveys
We present VIRAC2, a catalogue of positions, proper motions, parallaxes and Z, Y, J, H, and <inline-formula><tex-math id="TM0005" notation="LaTeX">$K_s$</tex-math></inline-formula> near-infrared photometric time series of 545 346 537 unique stars. The catalogue is based on a point spread function fitting reduction of nearly a decade of VISTA VVV and VVVX images, which cover <inline-formula><tex-math id="TM0006" notation="LaTeX">$560~{\rm deg}^2$</tex-math></inline-formula> of the Southern Galactic plane and bulge. The catalogue is complete at the <inline-formula><tex-math id="TM0007" notation="LaTeX">$\gt 90$</tex-math></inline-formula> per cent level for <inline-formula><tex-math id="TM0008" notation="LaTeX">$11\lt K_s~{\rm mag}\lt 16$</tex-math></inline-formula> sources, but extends to <inline-formula><tex-math id="TM0009" notation="LaTeX">$K_s\approx {}17.5$</tex-math></inline-formula> mag in most fields. Astrometric performance for <inline-formula><tex-math id="TM0010" notation="LaTeX">$11\lt K_s~{\rm mag}\lt 14$</tex-math></inline-formula> sources is typically <inline-formula><tex-math id="TM0011" notation="LaTeX">$\approx {}0.37~{\rm mas~yr}^{-1}$</tex-math></inline-formula> per dimension for proper motion, and <inline-formula><tex-math id="TM0012" notation="LaTeX">$1~{\rm mas}$</tex-math></inline-formula> for parallax. At <inline-formula><tex-math id="TM0013" notation="LaTeX">$K_s=16$</tex-math></inline-formula> the equivalent values are around <inline-formula><tex-math id="TM0014" notation="LaTeX">$1.5~{\rm mas~yr}^{-1}$</tex-math></inline-formula> and <inline-formula><tex-math id="TM0015" notation="LaTeX">$5~{\rm mas}$</tex-math></inline-formula>. These uncertainties are validated against Gaia DR3 and Hubble Space Telescope astrometry. The complete catalogues are available via the ESO archive. We perform an initial search of the catalogue for nearby ultracool dwarf candidates. In total, we find 26 new sources whose parallaxes place them within 50 parsecs of the Sun. Among them we find two high-confidence T dwarfs and a number of other sources that appear to lie close to the L/T transition.
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6.988144
12.074096
2025-01-03
0
2025MNRAS.536.3707S
[ "inline", "other sources", "Hubble Space Telescope astrometry", "nearby ultracool dwarf candidates", "proper motion", "proper motions", "<", "Gaia DR3", "notation=\"LaTeX\">$11\\lt K_s~{\\rm", "notation=\"LaTeX\">$11\\lt K_s~{\\rm mag}\\lt 14$</tex-math></inline-formula> sources" ]
[ "Astrophysics - Astrophysics of Galaxies", "Astrophysics - Solar and Stellar Astrophysics" ]
320
[ "10.1093/mnras/stae2797", "10.48550/arXiv.2501.06295" ]
[ "Smith, Leigh C.", "Lucas, Philip W.", "Koposov, Sergey E.", "Gonzalez-Fernandez, Carlos", "Alonso-García, Javier", "Minniti, Dante", "Sanders, Jason L.", "Bedin, Luigi R.", "Belokurov, Vasily", "Evans, N. Wyn", "Hempel, Maren", "Ivanov, Valentin D.", "Kurtev, Radostin G.", "Saito, Roberto K." ]
[ "Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK", "Centre for Astrophysics Research, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK;", "Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK; Institute for Astronomy, University of Edinburgh, Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK; Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK;", "Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK", "Centro de Astronomía (CITEVA), Universidad de Antofagasta, Av. Angamos 601, Antofagasta, Chile; Millennium Institute of Astrophysics, Nuncio Monseñor Sotero Sanz 100, Office 104, Providencia, Santiago, Chile", "Instituto de Astrofísica, Dep. de Ciencias Físicas, Facultad de Ciencias Exactas, Universidad Andres Bello, Av. Fernández Concha 700, Santiago, Chile; Vatican Observatory, Specola Vaticana, V-00120, Vatican City, Vatican City State", "Department of Physics and Astronomy, University College London, London WC1E 6BT, UK;", "INAF - Osservatorio Astronomico di Padova, Vicolo dell'Osservatorio 5, Padova I-35122, Italy;", "Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK;", "Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK", "Instituto de Astrofísica, Dep. de Ciencias Físicas, Facultad de Ciencias Exactas, Universidad Andres Bello, Av. Fernández Concha 700, Santiago, Chile; Max-Planck Institute for Astronomy, Königstuhl 17, D-69117 Heidelberg, Germany", "European Southern Observatory, Karl-Schwarzschild-Str. 2, D-85748 Garching bei München, Germany", "Instituto de Física y Astronomía, Universidad de Valparaíso, Av. Gran Bretaña 1111, Playa Ancha, Valparaíso, Chile; The Millennium Institute of Astrophysics (MAS), Av. Vicuña Mackenna 4860, 782-0436 Macul, Santiago, Chile", "Departamento de Física, Universidade Federal de Santa Catarina, Trindade 88040-900, Florianópolis, Brazil" ]
null
[ "1980CRASB.290..321T", "1985MNRAS.214..575I", "1987PASP...99..191S", "1993AJ....105.1813W", "1993PASP..105.1342S", "1996PASP..108..851S", "1998ApJ...500..525S", "2000A&AS..143....9W", "2003PASP..115..953B", "2004A&A...425L..29C", "2004ApJS..154....1W", "2004SPIE.5493..411I", "2005AJ....130.1247L", "2005ASPC..347...29T", "2006AJ....131.1163S", "2006ASPC..351..735K", "2006ApJ...651..502P", "2006MNRAS.367..454H", "2007AJ....134.1162L", "2007MNRAS.378..901F", "2007prpl.conf..427B", "2008A&A...477L...1D", "2008AJ....135.2177L", "2008ApJ...674.1217P", "2008MNRAS.383..831P", "2008Sci...322.1348M", "2009PASP..121..213C", "2010A&A...512A..37S", "2010AJ....139.1808S", "2010AJ....140.1868W", "2010MNRAS.408L..56L", "2010NewA...15..433M", "2011A&A...530A.138C", "2011ApJS..197...19K", "2011MNRAS.414L..90B", "2012AJ....143...70A", "2012AJ....144..148G", "2012ApJS..201...19D", "2012MNRAS.427.3280F", "2013A&A...557L...8B", "2013A&A...560A..21I", "2013ApJS..205....6M", "2013MNRAS.433..457B", "2013Sci...341.1492D", "2014ApJ...781....4L", "2014ApJ...787..126L", "2014ApJ...792..119D", "2014MNRAS.440.2036D", "2014MNRAS.443.2327S", "2014SPIE.9149E..1TF", "2015A&A...574A.115M", "2015A&A...575A..25S", "2015MNRAS.450.1664L", "2015MNRAS.454.4476S", "2015sptz.prop12023B", "2016A&A...595A...1G", "2016ApJ...817..112S", "2016ApJ...833...96L", "2016ApJS..225...10F", "2016arXiv161205560C", "2016sptz.prop13117B", "2017A&A...608A.140C", "2017MNRAS.464.1247K", "2017MNRAS.464.3040Z", "2018A&A...616A...2L", "2018A&A...619A...4A", "2018A&A...619L...8R", "2018A&A...620A.175K", "2018AJ....156...69M", "2018ApJ...856...23G", "2018ApJS..234....1B", "2018ApJS..234...39S", "2018MNRAS.474.1826S", "2018MNRAS.474.5459G", "2018MNRAS.480.5447Z", "2019ApJS..240...19K", "2019MNRAS.487.5188S", "2019MNRAS.487L...7M", "2019MNRAS.489.3519C", "2019MNRAS.489.5301C", "2020A&C....3300411N", "2020AAS...23527418C", "2020ApJ...889...74M", "2020ApJ...899..123M", "2020ApJS..251....7F", "2021A&A...649A...2L", "2021A&A...649A...6G", "2021A&A...650A.201R", "2021A&A...650L..11M", "2021A&A...651A..47A", "2021AJ....161...42B", "2021ApJ...907L..33S", "2021ApJS..253....7K", "2021MNRAS.505.1992S", "2021MNRAS.506.2269E", "2021MNRAS.506.2482H", "2021MNRAS.508.3877G", "2022A&A...660A.131M", "2022ApJ...924...68V", "2022ApJ...939...72O", "2022MNRAS.509.2566M", "2022MNRAS.512.1857S", "2022MNRAS.513.5799P", "2022MNRAS.514.2407S", "2022MNRAS.514.4845K", "2022MNRAS.517..257S", "2022RNAAS...6..189S", "2023A&A...677A.185L", "2023AJ....166..103S", "2023ApJ...959...63S", "2023ApJS..264...28S", "2023MNRAS.523.2369S", "2024A&A...683A..33G", "2024A&A...683A.150M", "2024A&A...685A..93N", "2024A&A...687A..94G", "2024A&A...689A.148S", "2024ApJS..271...55K", "2024MNRAS.528.1789L", "2024MNRAS.528.5495L", "2024MNRAS.529.1308K", "2024MNRAS.530.2972S" ]
32553541
2501.06296
Goku: A 10-Parameter Simulation Suite for Cosmological Emulation
We present Goku, a suite of cosmological $N$-body simulations, and the corresponding 10-dimensional emulator, GokuEmu, for the nonlinear matter power spectrum. The simulations span the base parameters of $\Lambda$CDM cosmology and its extensions, including dynamical dark energy ($w_0$, $w_a$), the sum of the neutrino masses ($\sum m_\nu$), the effective number of neutrinos ($N_\text{eff}$), and the running of the scalar spectral index ($\alpha_\text{s}$). Designed within the MF-Box framework, which integrates multi-scale and multi-fidelity simulations, the suite includes high-fidelity simulations evolving $3000^3$ particles in $1\,(\text{Gpc}/h)^3$ volumes and low-fidelity simulations with $750^3$ particles across varying box sizes. This approach achieves percent-level accuracy in high-likelihood regions and 5% accuracy across broader parameter ranges, while reducing computational costs by over 90% compared to single-fidelity methods. The simulations adopt an accurate treatment of massive neutrinos, enhancing predictions of the matter power spectrum on nonlinear scales. Key innovations include an adaptive sampling strategy and the use of beam search to optimize generalization accuracy. The emulator is valid for redshifts $z \leq 3$ and scales $0.01 \lesssim k / (h \, \text{Mpc}^{-1}) \lesssim 10$. Beyond the matter power spectrum, the simulations also support analyses of other statistical measures, such as the halo mass function. The emulator and its training data are publicly available at https://github.com/astro-YYH/GokuEmu, providing a valuable resource for cosmological parameter inference and model testing.
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11.712502
3.247559
2025-01-02
0
2025arXiv250106296Y
[ "cosmological parameter inference", "massive neutrinos", "generalization accuracy", "other statistical measures", "-scale and multi-fidelity simulations", "dynamical dark energy", "high-fidelity simulations", "$ particles", "low-fidelity simulations", "cosmological $N$-body simulations" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
530
[ "10.48550/arXiv.2501.06296" ]
[ "Yang, Yanhui", "Bird, Simeon", "Ho, Ming-Feng" ]
[ "-", "-", "-" ]
null
[ "1970A&A.....5...84Z", "1976ASAJ...60...10L", "1977PhLB...66..202S", "1985ApJ...292..371D", "2000ApJ...538..473L", "2001IJMPD..10..213C", "2003MNRAS.339..289S", "2003PhRvL..90i1301L", "2006MNRAS.373..369C", "2006PhR...429..307L", "2007MNRAS.376L..11A", "2007PhRvD..76f4004H", "2008MNRAS.387.1575A", "2008PhRvD..78h7303F", "2009ARNPS..59..397C", "2009ApJ...705..156H", "2009arXiv0912.0201L", "2010ARA&A..48..495F", "2010ApJ...715..104H", "2011ARNPS..61...69W", "2011MNRAS.415.3649V", "2011arXiv1104.2932L", "2011arXiv1110.3193L", "2012MNRAS.420.2551B", "2013MNRAS.428.3375A", "2013neco.book.....L", "2014A&A...571A..16P", "2014PASJ...66R...1T", "2015JCAP...11..011P", "2016ApJ...820..108H", "2016MNRAS.462L...1A", "2016arXiv161100036D", "2017ApJ...847...50L", "2017RSPSA.47360751P", "2018MNRAS.481.1486B", "2018PhRvD..98d3526A", "2019ApJ...872...53M", "2019ApJ...874...95Z", "2019ApJ...875...69D", "2019ApJ...884...29N", "2019JCAP...08..013D", "2019MNRAS.486.1448S", "2019arXiv190205569A", "2020A&A...641A...6P", "2020A&A...641A..10P", "2020ApJ...901....5B", "2020ApJS..250....2V", "2020JCAP...05..042I", "2021A&A...645A.104A", "2021ApJ...908L...6R", "2021MNRAS.502.1401M", "2021MNRAS.505.2840E", "2021MNRAS.506.2871S", "2021MNRAS.506.4070A", "2021MNRAS.507.2614E", "2021arXiv210414568A", "2021arXiv210800306J", "2022ApJ...934L...7R", "2022ApJ...938..110B", "2022CMAME.389k4378G", "2022JCAP...11..035G", "2022MNRAS.509.2551H", "2022MNRAS.511.1771S", "2022MNRAS.512.3703B", "2022PhRvD.105b3520A", "2023ApJ...952...80K", "2023JCAP...05..025N", "2023JCAP...10..037B", "2023MNRAS.518.4818B", "2023MNRAS.520.3443M", "2023MNRAS.526.2903H", "2023arXiv230704976D", "2024A&A...682A..37T", "2024A&A...691A.323S", "2024JCAP...07..029F", "2024arXiv240403002D", "2024arXiv240806153F", "2024arXiv240910666N", "2024arXiv241000913S" ]
32553540
2501.06297
Improved SED-Fitting Assumptions Result in Inside-Out Quenching at $z\sim0.5$ and Quenching at All Radii Simultaneously at $z\sim1$
Many studies conclude that galaxies quench from the inside-out by examining profiles of specific star-formation rate (sSFR). These are usually measured by fitting spectral energy distributions (SEDs) assuming a fixed dust law and uniform priors on all parameters. Here, we examine the effects of more physically motivated priors: a flexible dust law, an exponential prior on the dust attenuation $A_V$, and Gaussian priors that favor extended star-formation histories. This results in model colors that better trace observations. We then perform radial SED fits to multi-band flux profiles measured from Hubble images for 1,440 galaxies at $0.4&lt;z&lt;1.5$ of stellar masses $10^{10}-10^{11.5}\ M_{\odot}$ using both the traditional and the more physically motivated assumptions. This results in SFR and $A_V$ profiles that agree with measurements from spectroscopy and $A_V$ profiles that behave correctly as a function of inclination. Since green valley galaxies at $z\sim1.3$ are expected to evolve into quiescent galaxies at $z\sim0.9$, we compare their sSFR profiles using the more physically motivated assumptions. Their slopes are similar at all masses ($0.06 - 0.08~\textrm{dex}~\textrm{kpc}^{-1}$), and the normalizations for the quiescent galaxies are lower. Therefore, the sSFR profiles decline with time as quenching occurs at all radii simultaneously. We compare profiles of green valley galaxies at $z\sim0.9$ and quiescent galaxies at $z\sim0.5$. The former are shallower at all masses by $\sim0.1~\textrm{dex}~\textrm{kpc}^{-1}$. The sSFR profiles steepen with time as galaxies quench from the inside-out. In summary, galaxies at $z\sim1$ quench at all radii simultaneously while galaxies at $z\sim0.7$ quench from the inside-out.
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12.133407
6.590419
2025-01-02
1
2025arXiv250106297D
[ "quiescent galaxies", "profiles", "multi-band flux profiles", "galaxies", "green valley galaxies", "stellar masses", "Gaussian priors", "fitting spectral energy distributions", "A_V$", "quench" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
359
[ "10.48550/arXiv.2501.06297" ]
[ "de la Vega, Alexander", "Kassin, Susan A.", "Pacifici, Camilla", "Charlot, Stephane", "Curtis-Lake, Emma", "Chevallard, Jacopo", "Heckman, Timothy M.", "Koekemoer, Anton M.", "Wang, Weichen" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
[ "2025arXiv250109066D" ]
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32553545
2501.06298
The impact of memory-burdened primordial black holes on high-scale leptogenesis
We explore the impact of the back-reaction of evaporation on the quantum state of Primordial Black Holes (PBHs), known as ``memory burden", on the baryon asymmetry production in the Universe through high-scale leptogenesis. Focusing on PBH masses ranging from 1 to 1000 grams, we investigate the interplay between the non-thermal production of heavy sterile neutrinos and the entropy injection within this non-standard cosmological framework. By assuming appropriate values for the memory-burden parameters, $q=1/2$ and $k=1$, we derive mutual exclusion limits between PBHs and thermal leptogenesis in the mixed parameter space. Our analysis reveals that the primary contribution of PBHs to baryon asymmetry stems from entropy injection. Indeed, we find that, differently from earlier studies based on the semi-classical Hawking evaporation, the memory-burden effect suppresses the non-thermal source term in the PBH mass range explored. This has significant implications for understanding baryogenesis in such alternative cosmological scenarios.
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9.311262
-0.961507
2025-01-02
0
2025arXiv250106298C
[ "thermal leptogenesis", "such alternative cosmological scenarios", "the non-thermal production", "the non-thermal source term", "baryon asymmetry", "PBH masses", "Primordial Black Holes", "this non-standard cosmological framework", "mutual exclusion limits", "heavy sterile neutrinos" ]
[ "High Energy Physics - Phenomenology", "Astrophysics - Cosmology and Nongalactic Astrophysics", "High Energy Physics - Theory" ]
268
[ "10.48550/arXiv.2501.06298" ]
[ "Calabrese, Roberta", "Chianese, Marco", "Saviano, Ninetta" ]
[ "-", "-", "-" ]
null
[ "1967SvA....10..602Z", "1969PhLB...28..493G", "1974MNRAS.168..399C", "1974Natur.248...30H", "1975ApJ...201....1C", "1975CMaPh..43..199H", "1976CMaPh..46..206H", "1985PhLB..155...36K", "1988NuPhB.308..885K", "1990PhRvD..42.3344H", "1993bhmw.conf...22P", "2001NuPhB.618..171C", "2004NuPhB.695..169H", "2005ARNPS..55..311B", "2005AnPhy.315..305B", "2006hep.ph....8347S", "2007JHEP...09..090N", "2008PhR...466..105D", "2012ConPh..53..315D", "2013arXiv1301.3062F", "2014PhRvL.113n1602D", "2016PhRvD..94h3504C", "2018arXiv181002336D", "2020A&A...641A..10P", "2020JCAP...08..014L", "2020JHEP...09..178E", "2020PhRvD.102i5018G", "2020PhRvD.102j3523D", "2021JCAP...03..007B", "2021JCAP...03..015B", "2021JCAP...03..053P", "2021JCAP...04..062D", "2021JCAP...08..021D", "2021JHEP...02..071D", "2021JPhG...48d3001G", "2021PhLB..81536129B", "2021PhRvD.104g5007B", "2021PhRvD.104h3523S", "2021PhRvD.104j3021P", "2021PhRvD.104l3507D", "2021PhRvD.104l3536B", "2021RPPh...84k6902C", "2021arXiv210414496J", "2021arXiv210700532C", "2021arXiv211002821C", "2022JCAP...06..017S", "2022JCAP...10..089P", "2022PhRvD.105a5022C", "2022PhRvD.105a5023C", "2022PhRvD.106a5020B", "2022PhRvD.106c5019B", "2023PhRvD.107j4021I", "2023PhRvD.107l3537C", "2023PhRvD.108a5005C", "2024JCAP...03..044G", "2024JCAP...07..002H", "2024JCAP...09..020B", "2024JCAP...09..059B", "2024JCAP...10..065B", "2024JCAP...11..026B", "2024JCAP...12..016J", "2024JHEP...10..142B", "2024MNRAS.532..451T", "2024PhRvD.109j3001C", "2024PhRvD.110c6004A", "2024PhRvD.110e6029D", "2024arXiv240906365K", "2024arXiv240912125D", "2024arXiv241007037Z", "2024arXiv241007604C", "2024arXiv241016403B", "2024arXiv241119286A", "2024arXiv241213254B", "2025arXiv250104076B" ]
32553542
2501.06299
Constraints on Primordial Magnetic Fields from the Lyman-{\alpha} forest
We present the first constraints on primordial magnetic fields from the Lyman-$\alpha$ forest using full cosmological hydrodynamic simulations. At the scales and redshifts probed by the data, the flux power spectrum is extremely sensitive to the extra power induced by primordial magnetic fields in the linear matter power spectrum, at a scale that we parametrize with $k_{\rm peak}$. We rely on a set of more than a quarter million flux models obtained by varying thermal, reionization histories and cosmological parameters. We find a hint of extra power that is well fitted by the PMF model with $B\sim 0.2$ nG, corresponding to $k_{\rm peak}\sim 20$ Mpc$^{-1}$. However, when applying very conservative assumptions on the modelling of the noise, we obtain a 3$\sigma$ C.L. lower limit $k_{\rm peak}&gt; 30$ Mpc$^{-1}$ which translates into the tightest bounds on the strength of primordial intergalactic magnetic fields: $B &lt; 0.30$ nG (for fixed, nearly scale-invariant $n_{\rm B}=-2.9$).
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12.287052
-0.520887
2025-01-02
0
2025arXiv250106299P
[ "primordial magnetic fields", "primordial intergalactic magnetic fields", "extra power", "full cosmological hydrodynamic simulations", "k_{\\rm peak}&gt", "nG", "k_{\\rm", "the flux power spectrum", "the linear matter power spectrum", "3$\\sigma$" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "High Energy Physics - Theory" ]
509
[ "10.48550/arXiv.2501.06299" ]
[ "Pavičević, Mak", "Iršič, Vid", "Viel, Matteo", "Bolton, James", "Haehnelt, Martin G.", "Martin-Alvarez, Sergio", "Puchwein, Ewald", "Ralegankar, Pranjal" ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1994SPIE.2198..362V", "1996ApJ...468...28K", "2000SPIE.4008..534D", "2004MNRAS.354..684V", "2004PhRvD..70l3003B", "2005JCAP...01..009D", "2005MNRAS.364.1105S", "2013ApJ...770...47K", "2019MNRAS.484.2620K", "2020MNRAS.495.4475M", "2021MNRAS.504.2517M", "2021MNRAS.506.2871S", "2022MNRAS.511.4005K", "2022MNRAS.517.3916P", "2023MNRAS.519.6162P", "2024arXiv241002676R" ]
32558541
2501.06301
Deep radio interferometric search for decametre radio emission from the exoplanet Tau Boötis b
Context. Detection of electron cyclotron maser (ECM) emission from exoplanets in the 10–40 MHz radio band is likely the only way to measure an exoplanet's magnetic field directly. However, no definitive detection of exoplanetary ECM emission has been made to date. A detection of the hot Jupiter Tau Boötis b was reported but with an observing mode that is not immune to confusion from off-axis interference, making the detection tentative. Aims. We searched for radio emissions from Tau Boötis b using the Low Frequency Array (LOFAR) in interferometric mode, which employs direction-of-arrival information to discriminate genuine signals from interference. Our aim was to confirm the previous tentative detection or establish an upper limit in the case of a non-detection. Methods. We conducted observations using LOFAR's Low Band Antenna in interferometric mode, which totalled 64 hours spread over 8 nights. We created a custom data-processing pipeline to mitigate common challenges in decametric radio astronomy, including radio frequency interference, ionospheric distortions, and sidelobe noise from nearby bright radio sources. We used this pipeline to image the field around Tau Boötis b, searching for both quiescent and bursting emission from the direction of Tau Boötis b. Results. Despite the high sensitivity of the interferometric observations and extensive data processing, no significant emission was detected from Tau Boötis b in Stokes V. We establish an upper limit of 2 sigma at 24 mJy for any continuous emission from the exoplanet. The previous tentative detection of 400 mJy is thus not confirmed by the interferometric observations. Conclusions. The previous tentative detection is unlikely to be a bona fide astrophysical signal. Our upper limit is lower than the flux density predicted by scaling laws, meaning either the scaling laws need to be revised or the emission from this particular system is beamed away from Earth.
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7.664519
14.247641
2025-01-02
0
2025A&A...693A.162C
[ "Tau Boötis b", "radio emissions", "Tau Boötis", "exoplanetary ECM emission", "Tau Boötis b. Results", "radio frequency interference", "interferometric mode", "detection", "decametric radio astronomy", "nearby bright radio sources" ]
[ "methods: data analysis", "techniques: image processing", "planets and satellites: aurorae", "Astrophysics - Earth and Planetary Astrophysics", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
226
[ "10.1051/0004-6361/202452868", "10.48550/arXiv.2501.06301" ]
[ "Cordun, C. M.", "Vedantham, H. K.", "Brentjens, M. A.", "van der Tak, F. F. S." ]
[ "ASTRON, Netherlands Institute for Radio Astronomy, Oude Hoogeveensedijk 4, Dwingeloo, 7991PD, The Netherlands; Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands;", "ASTRON, Netherlands Institute for Radio Astronomy, Oude Hoogeveensedijk 4, Dwingeloo, 7991PD, The Netherlands; Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands;", "ASTRON, Netherlands Institute for Radio Astronomy, Oude Hoogeveensedijk 4, Dwingeloo, 7991PD, The Netherlands;", "SRON Netherlands Institute for Space Research, Landleven 12, 9747AD, Groningen, The Netherlands; Kapteyn Astronomical Institute, University of Groningen, PO Box 800, 9700 AV, Groningen, The Netherlands;" ]
null
[ "1961JGR....66.1043D", "1964Natur.203.1008B", "1977BAAS....9..453Y", "1980ApJS...44..151T", "1986ApJ...309L..59W", "1986Icar...67...88H", "1991A&A...248..485D", "1992AdSpR..12h..99Z", "1996GeoRL..23.2653H", "1997ApJ...474L.115B", "1998JGR...10320159Z", "1999JGR...10414025F", "2000ApJ...545.1058B", "2004ApJ...602L..53I", "2004ApJ...612..511L", "2005A&A...437..717G", "2005ApJ...632.1122S", "2005MNRAS.356.1053S", "2006ApJ...652..746F", "2007A&A...475..359G", "2007AJ....134.1245C", "2007ApJ...668.1182L", "2007MNRAS.374L..42C", "2007MNRAS.379..641C", "2007P&SS...55..598Z", "2007P&SS...55..618G", "2008MNRAS.385.1179D", "2009MNRAS.395..335S", "2009MNRAS.398.1383F", "2010A&A...522A..13R", "2010AJ....139...96L", "2010ascl.soft10017O", "2011A&A...531A..29H", "2011MNRAS.414.2125N", "2011MNRAS.418.1822W", "2012A&A...544A..23L", "2012MNRAS.423L..30S", "2013A&A...549A..11O", "2013A&A...552A..65L", "2013A&A...556A...2V", "2013ApJ...762...34H", "2013MNRAS.435.1451F", "2014A&A...562A.108S", "2014MNRAS.441.2361V", "2014MNRAS.444..606O", "2015aska.confE.120Z", "2016ApJ...828...22P", "2016MNRAS.459.4325M", "2017MNRAS.467.3447L", "2017MNRAS.469.3505W", "2017SSRv..213..219B", "2017pre8.conf..285G", "2017pre8.conf..317W", "2018A&A...615A.179D", "2018A&A...618A..84Z", "2018MNRAS.478.1763L", "2018MNRAS.478.2835L", "2018MNRAS.479.5266J", "2018MNRAS.480.3680W", "2019A&A...622A...5D", "2019A&A...630A..52R", "2019MNRAS.485.4529K", "2020A&A...635A.150D", "2020A&A...642A..85D", "2020A&A...644A.157D", "2020MNRAS.494.5044T", "2020Natur.585..357H", "2021A&A...645A..59T", "2021A&A...648A...5M", "2021ApJ...915...37W", "2022ApJ...939...24A", "2023JApA...44....2M", "2023MNRAS.524.6267K", "2024NatAs...8..786G" ]
32559426
2501.06303
WISDOM Project - XXII. A 5 % precision CO-dynamical supermassive black hole mass measurement in the galaxy NGC 383
We present a measurement of the supermassive black hole (SMBH) mass of the nearby lenticular galaxy NGC 383, based on Atacama Large Millimeter/sub-millimeter Array (ALMA) observations of the <SUP>12</SUP>CO(2-1) emission line with an angular resolution of <inline-formula><tex-math id="TM0001" notation="LaTeX">$0\hbox{$.\!\!^{\prime \prime }$}050\times 0\hbox{$.\!\!^{\prime \prime }$}024$</tex-math></inline-formula> (≈16 × 8 pc<SUP>2</SUP>). These observations spatially resolve the nuclear molecular gas disc down to ≈41, 300 Schwarzschild radii and the SMBH sphere of influence by a factor of ≈24 radially, better than any other SMBH mass measurement using molecular gas to date. The high resolution enables us to probe material with a maximum circular velocity of ≈1040 km s<SUP>-1</SUP>, even higher than those of the highest-resolution SMBH mass measurements using megamasers. We detect a clear Keplerian increase (from the outside in) of the line-of-sight rotation velocities, a slight offset between the gas disc kinematic (i.e. the position of the SMBH) and morphological (i.e. the centre of the molecular gas emission) centres, an asymmetry of the innermost rotation velocity peaks and evidence for a mild position angle warp and/or non-circular motions within the central <inline-formula><tex-math id="TM0002" notation="LaTeX">$\approx 0\hbox{$.\!\!^{\prime \prime }$}3$</tex-math></inline-formula>. By forward modelling the mass distribution and ALMA data cube, we infer a SMBH mass of (3.58 ± 0.19) × 10<SUP>9</SUP> M<SUB>⊙</SUB> (1σ confidence interval), more precise (5%) but consistent within ≈1.4σ with the previous measurement using lower-resolution molecular gas data. Our measurement emphasises the importance of high spatial resolution observations for precise SMBH mass determinations.
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14.521144
7.709122
2025-01-02
0
2025MNRAS.tmp...59Z
[ "high spatial resolution observations", "molecular gas", "precise SMBH mass determinations", "ALMA data cube", "lower-resolution molecular gas data", "1σ confidence interval", "any other SMBH mass measurement", "Atacama Large Millimeter", "the nuclear molecular gas disc", "≈1040 km s" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
226
[ "10.1093/mnras/staf055", "10.48550/arXiv.2501.06303" ]
[ "Zhang, Hengyue", "Bureau, Martin", "Ruffa, Ilaria", "Cappellari, Michele", "Davis, Timothy A.", "Dominiak, Pandora", "Elford, Jacob S.", "Iguchi, Satoru", "Lelli, Federico", "Sarzi, Marc", "Williams, Thomas G." ]
[ "Sub-department of Astrophysics, Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK;", "Sub-department of Astrophysics, Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK", "School of Physics &amp; Astronomy, Cardiff University, Queens Buildings, The Parade, Cardiff, CF24 3AA, UK; INAF - Istituto di Radioastronomia, via P. Gobetti 101, 40129 Bologna, Italy;", "Sub-department of Astrophysics, Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK;", "School of Physics &amp; Astronomy, Cardiff University, Queens Buildings, The Parade, Cardiff, CF24 3AA, UK;", "Sub-department of Astrophysics, Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK;", "School of Physics &amp; Astronomy, Cardiff University, Queens Buildings, The Parade, Cardiff, CF24 3AA, UK;", "Department of Astronomical Science, SOKENDAI (The Graduate University of Advanced Studies), Mitaka, Tokyo 181-8588, Japan; National Astronomical Observatory of Japan, National Institutes of Natural Sciences, Mitaka, Tokyo 181-8588, Japan;", "INAF, Arcetri Astrophysical Observatory, Largo Enrico Fermi 5, I-50125 Florence, Italy;", "Armagh Observatory and Planetarium, College Hill, Armagh BT61 9DG, UK", "Sub-department of Astrophysics, Department of Physics, University of Oxford, Denys Wilkinson Building, Keble Road, Oxford, OX1 3RH, UK;" ]
null
[ "1968MNRAS.138..259M", "1974A&AS...15..417H", "1974MNRAS.167P..31F", "1977A&A....54..661T", "1984ARA&A..22..319B", "1994A&A...285..723E", "1994AJ....108...33S", "1995AJ....110.2037J", "1996ApJ...470..444F", "2000ApJ...539L...9F", "2000ApJ...539L..13G", "2000ApJ...545L..93L", "2001ApJ...550...65S", "2001ApJ...553...47F", "2002AJ....123.1316B", "2002ApJ...578..787C", "2002MNRAS.333..400C", "2002MNRAS.336.1161L", "2005ARA&A..43..625L", "2005ApJ...620..673O", "2005ApJ...628..169S", "2005ApJ...629..719H", "2007ASPC..376..127M", "2008MNRAS.390...71C", "2009MNRAS.398.1117V", "2009MNRAS.399.1839K", "2010A&A...518A...9O", "2011A&A...532A..71R", "2011ApJ...727...20K", "2011SPIE.8127E..0JK", "2011arXiv1101.1499D", "2012A&A...544A..18V", "2012MNRAS.419.2497B", "2012NewAR..56...93A", "2013ARA&A..51..511K", "2013ApJ...764..184M", "2013ApJ...770...86W", "2013MNRAS.429..534D", "2013MNRAS.432.1709C", "2013Natur.494..328D", "2014MNRAS.437.3405L", "2014MNRAS.443..911D", "2015ApJ...806...39O", "2015MNRAS.450..128D", "2015MNRAS.451.3021D", "2016ApJ...822L..28B", "2016ApJ...831..134V", "2017ApJ...834...52G", "2017FrASS...4...42M", "2017MNRAS.464.4789M", "2017MNRAS.468.4663O", "2017MNRAS.468.4675D", "2018MNRAS.473.3818D", "2018MNRAS.473.5237K", "2018NatAs...2..198H", "2019A&A...623A..79C", "2019A&A...624A..42K", "2019ApJ...881...10B", "2019ApJ...883..193N", "2019MNRAS.484.4239R", "2019MNRAS.485.4359S", "2019MNRAS.489.3739R", "2019MNRAS.490..319N", "2020ApJ...892...68N", "2020ApJ...898...75I", "2020MNRAS.496.4061D", "2020MNRAS.499.5719R", "2021ApJ...908...19B", "2021ApJ...919...77C", "2021FrASS...8..157D", "2021MNRAS.503.5984S", "2021MNRAS.504.4123N", "2022ApJ...934..162K", "2022MNRAS.509.2920N", "2022MNRAS.516.4066L", "2023ApJ...958..186C", "2023MNRAS.522.6170R", "2024ApJ...975..179C", "2024MNRAS.527..706Z", "2024MNRAS.529.1597D", "2024MNRAS.530.3240Z", "2024arXiv240411260D" ]
32553536
2501.06304
Continuum Reverberation in Active Galactic Nuclei Disks Only With Sufficient X-ray Luminosity and Low Albedo
Disk continuum reverberation mapping is one of the primary ways we learn about active galactic nuclei (AGN) accretion disks. Reverberation mapping assumes that time-varying X-rays incident on the accretion disk drive variability in UV-optical light curves emitted by AGN disks, and uses lags between X-ray and UV-optical variability on the light-crossing timescale to measure the radial temperature profile and extent of AGN disks. However, recent reverberation mapping campaigns have revealed oddities in some sources such as weakly correlated X-ray and UV light curves, longer than anticipated lags, and evidence of intrinsic variability from disk fluctuations. To understand how X-ray reverberation works with realistic accretion disk structures, we perform 3D multi-frequency radiation magnetohydrodynamic simulations of X-ray reprocessing by the UV-emitting region of an AGN disk using sophisticated opacity models that include line opacities for both the X-ray and UV radiation. We find there are two important factors that determine whether X-ray irradiation and UV emission will be well-correlated, the ratio of X-ray to UV luminosity and significant absorption. When these factors are met, the reprocessing of X-rays into UV is nearly instantaneous, as is often assumed, although linear reprocessing models are insufficient to fully capture X-ray reprocessing in our simulations. Nevertheless, we can still easily recover mock lags in our light curves using software that assumes linear reprocessing. Finally, the X-rays in our simulation heat the disk, increasing temperatures by a factor of 2--5 in the optically thin region, which could help explain the discrepancy between measured and anticipated lags.
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16.131388
7.735651
2025-01-02
0
2025arXiv250106304S
[ "X-ray reverberation", "X-ray irradiation", "-ray reprocessing", "Disk continuum reverberation mapping", "-", "ray", "rays", "AGN disks", "realistic accretion disk structures", "weakly correlated X" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Astrophysics of Galaxies" ]
266
[ "10.48550/arXiv.2501.06304" ]
[ "Secunda, Amy", "Jiang, Yan-Fei", "Greene, Jenny E." ]
[ "-", "-", "-" ]
null
[ "1973A&A....24..337S", "1982ApJ...255..419B", "1988smbh.proc...26A", "1989ApJ...342...64A", "1991ApJ...376..214B", "1995A&A...300..707T", "1996ApJ...464..943I", "1999MNRAS.302L..24C", "2000ApJ...533..631K", "2003ApJ...593...96M", "2004ApJ...613..682P", "2005ApJ...622..129S", "2007MNRAS.380..669C", "2009ApJ...698..895K", "2009MNRAS.397.2004A", "2010ApJ...712.1129M", "2011ApJ...727L..24D", "2011ApJ...735...80Z", "2012ARA&A..50..455F", "2012ApJ...758..103G", "2013ARA&A..51..511K", "2013ApJ...778...65J", "2015ApJ...800...63S", "2015ApJ...806..128D", "2015ApJ...806..129E", "2015PASP..127...67B", "2016ApJ...819..122Z", "2016ApJ...821...56F", "2016ApJ...827...10J", "2016MNRAS.456.1960S", "2017ApJ...835...65S", "2017ApJ...836..186J", "2017ApJ...840...41E", "2017ApJ...851...21G", "2018ApJ...857...53C", "2018MNRAS.475.2306B", "2019ApJ...870..123E", "2019ApJ...873..111I", "2019ApJ...885..144J", "2020ApJ...900...25J", "2020ApJ...902....7S", "2020MNRAS.498.5399H", "2021ApJ...922..151K", "2021ApJS..253...49J", "2021MNRAS.503.4163K", "2021Sci...373..789B", "2022ApJ...926..225H", "2022ApJ...935...93P", "2022ApJ...940...20G", "2022ApJ...940L..22S", "2022ApJ...941...57P", "2022ApJS..263....4J", "2022MNRAS.513.1046N", "2022MNRAS.514..164S", "2023ApJ...947...62K", "2023ApJ...953...43Y", "2023ApJ...954...33L", "2023ApJ...956...81S", "2023ApJ...958..195C", "2023Galax..11..102A", "2024ApJ...965L..29S", "2024ApJ...967...25R", "2024ApJ...977..223L", "2024OJAp....7E..19H", "2024arXiv241018423F", "2024arXiv241019630B", "2025MNRAS.tmp...27B" ]
32553559
2501.06315
Maximum Likelihood Detection of Instrumental Glitches in LISA TDI Data
The orbiting LISA instrument is designed to detect gravitational waves in the millihertz band, produced by sources including galactic binaries and extreme mass ratio inspirals, among others. The detector consists of three spacecraft, each carrying a pair of free-falling test masses. A technology-demonstration mission, LISA Pathfinder, was launched in 2015, and observed several sudden changes in test mass acceleration, referred to as "glitches." Similar glitches in the full LISA mission have the potential to contaminate the Time-Delay Interferometry outputs that are the detector's primary data product. In this paper, we describe an optimization technique using maximum likelihood estimation for detecting and removing glitches with a known waveform.
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7.969215
2.025613
2025-01-02
0
2025arXiv250106315S
[ "test mass acceleration", "extreme mass ratio inspirals", "LISA Pathfinder", "maximum likelihood estimation", "LISA", "several sudden changes", "Similar glitches", "glitches", "galactic binaries", "gravitational waves" ]
[ "General Relativity and Quantum Cosmology", "Astrophysics - Instrumentation and Methods for Astrophysics" ]
234
[ "10.48550/arXiv.2501.06315" ]
[ "Sauter, Orion", "Wass, Peter", "Sanchez, Wiler", "Inchauspé, Henri" ]
[ "-", "-", "-", "-" ]
null
[ "2017arXiv170200786A", "2021LRR....24....1T", "2022PhRvD.105d2002B", "2022arXiv220412142B", "2023LRR....26....2A", "2024PhRvD.109h3027H" ]
32553569
2501.06333
VLA+VLBA to ngVLA Transition Option Concepts
The next-generation Very Large Array (ngVLA) is intended to be the premier centimeter-wavelength facility for astronomy and astrophysics, building on the substantial scientific legacies of the Karl G. Jansky Very Large Array (VLA) and the Very Long Baseline Array (VLBA). The ngVLA would open a new window on the Universe through ultra-sensitive imaging of thermal line and continuum emission to milliarcsecond resolution, while delivering unprecedented broad-band continuum imaging and polarimetry of non-thermal emission. The ngVLA would provide a critical electromagnetic complement to a suite of particle detectors and gravitational-wave observatories, as well as space- and ground-based telescopes operating from infrared to gamma-ray wavelengths, hence enabling multi-messenger and multi-band astronomy and astrophysics. Current construction plans call for the ngVLA to leverage some of the physical infrastructure of both the VLA and the VLBA, potentially drawing on overlapping personnel and information infrastructure. Multiple options can be envisioned for a VLA+VLBA to ngVLA transition. In order to assess risks and benefits of possible transition plans, the ngVLA project established the VLA+VLBA to ngVLA Transition Advisory Group (TAG). The primary deliverable from the TAG is a ``VLA+VLBA to ngVLA Transition Option Concepts'' report (this report) that includes a prioritized list of transition options.
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13.767995
9.269384
2025-01-02
0
2025arXiv250106333C
[ "ngVLA transition", "ngVLA Transition Option Concepts", "ngVLA Transition Advisory Group", "ngVLA", "non-thermal emission", "ultra-sensitive imaging", "multi-band astronomy", "possible transition plans", "transition options", "Current construction plans" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics", "General Relativity and Quantum Cosmology" ]
289
[ "10.48550/arXiv.2501.06333" ]
[ "Corsi, Alessandra", "Lazio, Joseph W.", "Baum, Stefi", "Giacintucci, Simona", "Heald, George", "Henning, Patricia", "Heywood, Ian", "Iono, Daisuke", "Johnson, Megan", "Lam, Michael T.", "Leroy, Adam", "Loinard, Laurent", "Looney, Leslie", "Matthews, Lynn", "Molter, Ned", "Murphy, Eric", "Schinnerer, Eva", "Tetarenko, Alex", "Umana, Grazia", "van der Horst, Alexander" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "2013ApJ...763L..21C", "2019MNRAS.484.3376L", "2020AJ....160..234D", "2021ApJ...911....4L", "2021ApJ...911L..11E", "2022ApJ...940..137L", "2023arXiv230519973W" ]
32559211
2501.06340
Morphological Classification of Galaxies Through Structural and Star Formation Parameters Using Machine Learning
We employ the XGBoost machine learning (ML) method for the morphological classification of galaxies into two (early-type, late-type) and five (E, S0-S0a, Sa-Sb, Sbc-Scd, Sd-Irr) classes, using a combination of non-parametric (C, A, S, A<SUB>S</SUB>, Gini, M<SUB>20</SUB>, c<SUB>5090</SUB>), parametric (Sérsic index, n), geometric (axial ratio, BA), global colour (g - i, u - r, u - i), colour gradient (Δ(g - i)), and asymmetry gradient (ΔA<SUB>9050</SUB>) information, all estimated for a local galaxy sample (z &lt; 0.15) compiled from the Sloan Digital Sky Survey (SDSS) imaging data. We train the XGBoost model and evaluate its performance through multiple standard metrics. Our findings reveal better performance when utilizing all fourteen parameters, achieving accuracies of 88% and 65% for the two-class and five-class classification tasks, respectively. In addition, we investigate a hierarchical classification approach for the five-class scenario, combining three XGBoost classifiers. We observe comparable performance to the "direct" five-class classification, with discrepancies of only up to 3%. Using SHAP (an advanced interpretation tool), we analyse how galaxy parameters impact the model's classifications, providing valuable insights into the influence of these features on classification outcomes. Finally, we compare our results with previous studies and find them consistently aligned.
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11.616817
4.979757
2025-01-02
0
2025MNRAS.tmp...77A
[ "classification outcomes", "galaxy parameters", "better performance", "comparable performance", "galaxies", "colour gradient", "previous studies", "global colour", "XGBoost", "asymmetry gradient" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
302
[ "10.1093/mnras/staf085", "10.48550/arXiv.2501.06340" ]
[ "Aguilar-Argüello, G.", "Fuentes-Pineda, G.", "Hernández-Toledo, H. M.", "Martínez-Vázquez, L. A.", "Vázquez-Mata, J. A.", "Brough, S.", "Demarco, R.", "Ghosh, A.", "Jiménez-Teja, Y.", "Martin, G.", "Pearson, W. J.", "Sifón, C." ]
[ "Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, A.P. 20-126, 04510, México, CDMX, México", "Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, A.P. 20-126, 04510, México, CDMX, México", "Universidad Nacional Autónoma de México. Instituto de Astronomía . A.P. 70-264, 04510. Ciudad de México, México", "Universidad Nacional Autónoma de México. Instituto de Astronomía . A.P. 70-264, 04510. Ciudad de México, México", "Universidad Nacional Autónoma de México. Instituto de Astronomía . A.P. 70-264, 04510. Ciudad de México, México", "School of Physics, University of New South Wales, NSW 2052, Australia;", "Institute of Astrophysics, Facultad de Ciencias Exactas, Universidad Andrés Bello, Sede Concepción, Talcahuano, Chile;", "DiRAC Institute and the Department of Astronomy, University of Washington, Seattle, WA, U.S.A", "Instituto de Astrofísica de Andalucía-CSIC, Glorieta de la Astronomía s/n, E-18008 Granada, Spain", "School of Physics &amp; Astronomy, University of Nottingham, University Park, Nottingham NG7 2RD, UK;", "National Centre for Nuclear Research, Pasteura 7, 02-093 Warszawa, Poland;", "Instituto de Física, Pontificia Universidad Católica de Valparaíso, Casilla 4059, Valparaíso, Chile" ]
null
[ "1926ApJ....64..321H", "1936rene.book.....H", "1963BAAA....6...41S", "1987ASSL..131.....M", "1995MNRAS.274.1107N", "1996A&AS..117..393B", "1997PatRe..30.1145B", "2000ApJ...529..886C", "2001AJ....122.1707G", "2001AJ....122.1861S", "2003ApJ...594..186B", "2003ApJS..147....1C", "2004AJ....128..163L", "2004MNRAS.349...87D", "2004MNRAS.352..815Y", "2005ApJ...629..143B", "2005ApJ...630....1Z", "2005ApJ...635..243F", "2005ApJ...635L..29P", "2006ApJ...650..148L", "2006MNRAS.373..469B", "2006PaReL..27..861F", "2007AJ....134..579F", "2007ApJ...658..898P", "2007ApJS..172....1S", "2007MNRAS.381..401L", "2007MNRAS.382..270I", "2008MNRAS.389.1179L", "2008SerAJ.176....1I", "2009ARA&A..47..159B", "2009ApJ...691..394M", "2009ApJ...691.1828P", "2009ApJS..182..216K", "2009ApJS..182..543A", "2009MNRAS.393.1324B", "2009MNRAS.396..818S", "2009MNRAS.399..966S", "2010ApJS..186..427N", "2010MNRAS.404..792M", "2011A&A...532A..74B", "2011AJ....142...31B", "2011ApJ...736..141S", "2011MNRAS.410..166L", "2011MNRAS.412..727C", "2011MNRAS.413..971D", "2011MNRAS.416.1680C", "2011MNRAS.418.1452L", "2011arXiv1110.3193L", "2012MNRAS.421..872C", "2013MNRAS.435.2835W", "2014ARA&A..52..291C", "2015ApJ...798....7B", "2015ApJ...814...55F", "2015ApJS..221....8H", "2015MNRAS.450.1441D", "2015MNRAS.452.2087L", "2016ApJ...821L..26C", "2016MNRAS.456.3032P", "2016arXiv161100037D", "2017ApJ...844...59B", "2018MNRAS.474.5232S", "2018MNRAS.477L.101R", "2018MNRAS.481.2018T", "2019A&A...631A...9B", "2019AJ....157..168D", "2019ApJ...872...76N", "2019ApJ...873..111I", "2019MNRAS.483.4140R", "2019MNRAS.487.4995G", "2019MNRAS.488.3929C", "2019NatRP...1..450R", "2019PASP..131j8002P", "2019arXiv191212699B", "2020A&A...638A.134D", "2020A&C....3000334B", "2020ApJ...895..112G", "2020MNRAS.491.1408M", "2020MNRAS.491.1554W", "2021A&A...646A.151P", "2021A&A...648A.122V", "2021ApJ...911L..33H", "2021MNRAS.503.4446C", "2021MNRAS.506..659C", "2021MNRAS.508.2307V", "2022AJ....163...86Z", "2022MNRAS.509.3966W", "2022MNRAS.509.4024D", "2022MNRAS.511.3330T", "2022MNRAS.512.2222V", "2022MNRAS.513.1459M", "2022PASP..134k4508W", "2023ApJS..268...34D", "2023MNRAS.518.2177G", "2023MNRAS.521.1292P", "2023MNRAS.522....1N", "2024ApJ...971..142G", "2024MNRAS.52710059G", "2024MNRAS.531.4990P", "2024MNRAS.533..292M", "2024arXiv240402973W" ]
32553575
2501.06342
The TESS-Keck Survey XXIV: Outer Giants may be More Prevalent in the Presence of Inner Small Planets
We present the results of the Distant Giants Survey, a three-year radial velocity (RV) campaign to search for wide-separation giant planets orbiting Sun-like stars known to host an inner transiting planet. We defined a distant giant to have $a$ = 1--10 AU and $M_{p} \sin i = 70-4000$ \mearth~ = 0.2-12.5 \mj, and required transiting planets to have $a&lt;1$ AU and $R_{p} = 1-4$ \rearth. We assembled our sample of 47 stars using a single selection function, and observed each star at monthly intervals to obtain $\approx$30 RV observations per target. The final catalog includes a total of twelve distant companions: four giant planets detected during our survey, two previously known giant planets, and six objects of uncertain disposition identified through RV/astrometric accelerations. Statistically, half of the uncertain objects are planets and the remainder are stars/brown dwarfs. We calculated target-by-target completeness maps to account for missed planets. We found evidence for a moderate enhancement of distant giants (DG) in the presence of close-in small planets (CS), P(DG|CS) = $30^{+14}_{-12}\%$, over the field rate of P(DG) = $16^{+2}_{-2}\%$. No enhancement is disfavored ($p \sim$ 8%). In contrast to a previous study, we found no evidence that stellar metallicity enhances P(DG|CS). We found evidence that distant giant companions are preferentially found in systems with multiple transiting planets and have lower eccentricities than randomly selected giant planets. This points toward dynamically cool formation pathways for the giants that do not disturb the inner systems.
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7.568645
13.456479
2025-01-02
0
2025arXiv250106342V
[ "transiting planets", "multiple transiting planets", "planets", "missed planets", "distant giant companions", "distant giants", "wide-separation giant planets", "randomly selected giant planets", "an inner transiting planet", "four giant planets" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
389
[ "10.48550/arXiv.2501.06342" ]
[ "Van Zandt, Judah", "Petigura, Erik A.", "Lubin, Jack", "Weiss, Lauren M.", "Turtelboom, Emma V.", "Fetherolf, Tara", "Akana Murphy, Joseph M.", "Crossfield, Ian J. M.", "Gilbert, Greg", "Mocnik, Teo", "Batalha, Natalie M.", "Dressing, Courtney", "Fulton, Benjamin", "Howard, Andrew W.", "Huber, Daniel", "Isaacson, Howard", "Kane, Stephen R.", "Robertson, Paul", "Roy, Arpita", "Angelo, Isabel", "Behmard, Aida", "Beard, Corey", "Chontos, Ashley", "Dai, Fei", "Dalba, Paul A.", "Giacalone, Steven", "Hill, Michelle L.", "Hirsch, Lea A.", "Holcomb, Rae", "Howell, Steve B.", "Mayo, Andrew W.", "MacDougall, Mason G.", "Pidhorodetska, Daria", "Polanski, Alex S.", "Rogers, James", "Rosenthal, Lee J.", "Rubenzahl, Ryan A.", "Scarsdale, Nicholas", "Tyler, Dakotah", "Yee, Samuel W.", "Zink, Jon" ]
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null
[ "1978AnSta...6..461S", "1986ApJ...309..846L", "1994SPIE.2198..362V", "2005ApJ...622.1102F", "2008ApJ...675..790F", "2008PASP..120..531C", "2010ApJ...722..937D", "2010ApJS..190....1R", "2011AJ....142...19H", "2012ApJ...751..158H", "2012ApJ...753..160W", "2012SPIE.8446E..1SM", "2013ApJS..208....9P", "2013MNRAS.431.3444C", "2013PASP..125..306F", "2014ApJ...785..116L", "2014ApJS..210....5F", "2014PASP..126..359V", "2015ARA&A..53..409W", "2015ApJ...800L..22I", "2015ApJ...814...12V", "2015JATIS...1a4003R", "2015PNAS..112.4214B", "2015PhDT........82P", "2016A&A...595A...1G", "2016ARA&A..54..441N", "2016SPIE.9908E..70G", "2016SPIE.9908E..7HS", "2017ApJ...834...17C", "2017ApJ...836...77Y", "2017PhDT.......136F", "2018AJ....155...89P", "2018AJ....156...92Z", "2018MNRAS.481.5286F", "2018SPIE10703E..05C", "2018haex.bookE.142I", "2018haex.bookE.155B", "2019AJ....157...52B", "2019AJ....158...13N", "2020AJ....159...63B", "2020AJ....160..113B", "2020MNRAS.492..377W", "2021A&A...645A..96P", "2021ApJS..254...39G", "2021ApJS..254...42B", "2021ApJS..255....8R", "2021FrASS...8..138S", "2021MNRAS.503.1526R", "2022A&A...667A...1S", "2022AJ....163..101L", "2022AJ....163..297C", "2022ApJS..262....1R", "2023A&A...677A..33B", "2023AJ....165...60V", "2023MNRAS.519.5637K", "2023MNRAS.523.3069O", "2023NatAs...7..198Z", "2024AJ....167..250V", "2024AJ....168..196L", "2024AJ....168..268V", "2024ApJ...968L..25B", "2024ApJS..270....8W", "2024ApJS..272...32P", "2024MNRAS.535...90V", "2024RAA....24d5013Z", "2024arXiv240308226F", "2024arXiv241207950H", "2025MNRAS.536.2485W" ]
32553576
2501.06343
The Missing Link of Sulfur Chemistry in TMC-1: The Detection of c-C3H2S from the GOTHAM Survey
We present the spectroscopic characterization of cyclopropenethione (c-C3H2S) in the laboratory and detect it in space using the Green Bank Telescope (GBT) Observations of TMC-1: Hunting Aromatic Molecules (GOTHAM) survey. The detection of this molecule - the missing link in understanding the C3H2S isomeric family in TMC-1 - completes the detection of all 3 low-energy isomers of C3H2S as both CH2CCS and HCCCHS have been previously detected in this source. The total column density of this molecule (N_T of 5.72+2.65/-1.61x10^10 cm^-2 at an excitation temperature of 4.7+1.3/-1.1 K) is smaller than both CH2CCS and HCCCHS and follows nicely the relative dipole principle (RDP), a kinetic rule-of-thumb for predicting isomer abundances which suggests that, all other chemistry among a family of isomers being the same, the member with the smallest dipole should be the most abundant. The RDP now holds for the astronomical abundance ratios of both the S-bearing and O-bearing counterparts observed in TMC-1; however, CH2CCO continues to elude detection in any astronomical source.
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11.748678
11.770874
2025-01-02
0
2025arXiv250106343R
[ "TMC-1", "isomer abundances", "detection", "C3H2S", "isomers", "HCCCHS", "dipole", "RDP", "cyclopropenethione", "the astronomical abundance ratios" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
252
[ "10.48550/arXiv.2501.06343" ]
[ "Remijan, Anthony J.", "Changala, P. Bryan", "Xue, Ci", "Yuan, Elsa Q. H.", "Duffy, Miya", "Scolati, Haley N.", "Shingledecker, Christopher N.", "Speak, Thomas H.", "Cooke, Ilsa R.", "Loomis, Ryan", "Burkhardt, Andrew M.", "Fried, Zachary T. P.", "Wenzel, Gabi", "Lipnicky, Andrew", "McCarthy, Michael C.", "McGuire, Brett A." ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1972msmr.conf..115M", "1988ApJ...335L..89I", "1988JAChS.110..789B", "1989CPL...157..479R", "1989JChPh..90.1007D", "1990CPL...165..513B", "1991JChPh..94.6229L", "1993ApJ...404..232Z", "1995JChPh.103.4572W", "1997ApJ...481..396C", "1997JChPh.106.9639H", "1999MNRAS.306..691R", "2001ApJS..134..311G", "2002ApJS..138..297G", "2002JChPh.11710548P", "2003ApJS..144..287M", "2005A&A...440..949S", "2005ASPC..336...25A", "2005PCCP....7.3297W", "2005RScI...76i3106G", "2006ApJ...637..333H", "2006ApJ...642..933H", "2006PCCP....8.1057W", "2008JChPh.129r4116Z", "2010JChPh.132o4104G", "2014A&A...567A..95E", "2015ApJ...799...34L", "2015JPCA..119.1701K", "2016JChPh.144l4201C", "2016MNRAS.456.4101L", "2016MNRAS.463.4175L", "2017MNRAS.469..435V", "2017MNRAS.470.4075L", "2018ApJ...864...82D", "2018PCCP...2013870M", "2019ApJ...871..112X", "2019ApJ...878...80S", "2019MolPh.117.1381L", "2020ApJ...897..158S", "2020ApJ...900L...9X", "2020ApJ...900L..10M", "2020JChPh.152u4108M", "2021A&A...648L...3C", "2021A&A...650L..14C", "2021A&A...655A..65T", "2021MolPh.11975052M", "2021NatAs...5..188L", "2021Sci...371.1265M", "2022ApJ...938...15F", "2022EPJWC.26500041C", "2023A&A...678A.124A", "2023ApJ...948..133C", "2023ApJ...958L..41Y", "2024A&A...686A..49G", "2024ApJ...960..127G", "2024ApJ...976..105R" ]
32553594
2501.06358
From Stability to Instability: Characterizing the Eccentricities of Multi-planet Systems in the California Kepler Survey as a Means of Studying Stability
Understanding the stability of exoplanet systems is crucial for constraining planetary formation and evolution theories. We use the machine-learning stability indicator, SPOCK, to characterize the stability of 126 high-multiplicity systems from the California Kepler Survey (CKS). We constrain the range of stable eccentricities for each system, adopting the value associated with a 50% chance of stability as the characteristic eccentricity. We confirm characteristic eccentricities via a small suite of N-body integrations. In studying correlations between characteristic eccentricity and various planet-pair and system-level metrics we find that minimum period ratio correlates most strongly with characteristic eccentricity. These characteristic eccentricities are approximately 20% of the eccentricities necessary for two-body mean-motion resonance overlap, suggesting three-body dynamics are needed to drive future instabilities. Systems in which the eccentricities would need to be high (&gt; 0.15) to drive instability are likely dynamically relaxed and might be the fossils of a previous epoch of giant impacts that increased the typical planet-planet spacing.
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7.884738
14.542436
2025-01-02
0
2025arXiv250106358D
[ "characteristic eccentricities", "characteristic eccentricity", "stable eccentricities", "exoplanet systems", "Systems", "stability", "minimum period ratio", "planetary formation", "These characteristic eccentricities", "the characteristic eccentricity" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
260
[ "10.48550/arXiv.2501.06358" ]
[ "Doty, Matthew J.", "Weiss, Lauren M.", "He, Matthias Y.", "Petit, Antoine C." ]
[ "-", "-", "-", "-" ]
null
[ "1990CeMDA..49..177S", "1993Icar..106..247G", "1996Icar..119..261C", "1997A&A...317L..75L", "1999ssd..book.....M", "2006ApJ...639..423M", "2007IJMPB..21.3981Z", "2011ApJ...739...31L", "2011MNRAS.418.1043Q", "2012ApJ...761...92F", "2013ApJ...774..129D", "2014ApJ...783L...6W", "2014ApJ...790..146F", "2015ApJ...807...44P", "2015ApJ...808..126V", "2016ApJ...822...54D", "2016ApJ...823..118M", "2016PNAS..11311431X", "2017A&A...605A..72L", "2018AJ....155...48W", "2018AJ....156...95H", "2018AJ....156..264F", "2019AJ....157..198M", "2020A&A...641A.176P", "2020AJ....159..281G", "2020AJ....160...98V", "2020AJ....160..108B", "2020AJ....160..276H", "2020PNAS..11718194T", "2021A&A...649A..26L", "2021AJ....162...55Y", "2021AJ....162..220T", "2021CeMDA.133...39P", "2024AJ....167..271V", "2024ApJ...960...89B", "2024ApJ...971....5W", "2024ApJ...972...53L" ]
32553615
2501.06377
Open-source Flux Transport (OFT). I. HipFT -- High-performance Flux Transport
Global solar photospheric magnetic maps play a critical role in solar and heliospheric physics research. Routine magnetograph measurements of the field occur only along the Sun-Earth line, leaving the far-side of the Sun unobserved. Surface Flux Transport (SFT) models attempt to mitigate this by modeling the surface evolution of the field. While such models have long been established in the community (with several releasing public full-Sun maps), none are open source. The Open Source Flux Transport (OFT) model seeks to fill this gap by providing an open and user-extensible SFT model that also builds on the knowledge of previous models with updated numerical and data acquisition/assimilation methods along with additional user-defined features. In this first of a series of papers on OFT, we introduce its computational core: the High-performance Flux Transport (HipFT) code (github.com/predsci/hipft). HipFT implements advection, diffusion, and data assimilation in a modular design that supports a variety of flow models and options. It can compute multiple realizations in a single run across model parameters to create ensembles of maps for uncertainty quantification and is high-performance through the use of multi-CPU and multi-GPU parallelism. HipFT is designed to enable users to easily write extensions, enhancing its flexibility and adaptability. We describe HipFT's model features, validations of its numerical methods, performance of its parallel and GPU-accelerated code implementation, analysis/post-processing options, and example use cases.
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11.866266
15.496809
2025-01-02
0
2025arXiv250106377C
[ "model parameters", "previous models", "flow models", "such models", "Global solar photospheric magnetic maps", "Flux Transport", "Surface Flux Transport", "data assimilation", "multi-GPU parallelism", "maps" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Physics - Computational Physics" ]
191
[ "10.48550/arXiv.2501.06377" ]
[ "Caplan, Ronald M.", "Stulajter, Miko M.", "Linker, Jon A.", "Downs, Cooper", "Upton, Lisa A.", "Attie, Raphael", "Arge, Charles N.", "Henney, Carl J." ]
[ "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1961ApJ...133..572B", "1964ApJ...140.1547L", "1969SoPh....9..131A", "1970SoPh...12...23H", "1974SoPh...36..495S", "1977A&A....61..797S", "1983ApJ...270..288S", "1984SoPh...92....1D", "1986ApJ...302L..71C", "1989ApJ...347..529W", "1989Sci...245..712W", "1990ApJ...351..309S", "1991ApJ...375..761W", "1993SoPh..146..377U", "1994JCoPh.115..200L", "1996AIPC..382..104M", "1996Sci...272.1284H", "1997ApJ...487..424S", "2000SoPh..195..247W", "2002JGeod..76..279H", "2003ASPC..307...13K", "2003SPIE.4853..194K", "2003SoPh..212..165S", "2005ChEnS..60.2609S", "2005LRSP....2....5S", "2006ApJ...641..577M", "2009SIAMR..51...82S", "2010ApJ...725.1082H", "2011SoPh..274..361R", "2012SoPh..275..207S", "2013AIPC.1539...11A", "2013OcMod..72...53M", "2014ApJ...780....5U", "2014ApJ...792..142U", "2014JCoPh.257..594M", "2014JCoPh.270..784M", "2014SSRv..186..491J", "2014SoPh..289.3617L", "2015ApJ...811..105H", "2015SoPh..290.1105H", "2015SpWea..13..141H", "2017ApJ...848...70L", "2017MWRv..145.3817L", "2020A&A...642A..11S", "2022ApJ...941..197C", "2022FrASS...907290H", "2023ApJ...946..105B", "2023ApJ...959...77L", "2023ApJ...959L...4M", "2023MNRAS.519.6297F", "2024ApJ...964..188K", "2024ApJ...975..258A", "2024ApJ...975..288D", "2024SoPh..299..161Y" ]
32553620
2501.06378
A Predicted Great Dimming of T Tauri: Has it Begun?
The optical star in the T Tauri triple system is the prototype of young sun-like stars in our galaxy. This complex and dynamic system has evidence for misaligned disks and outflows, and molecular material in a circumbinary ring that obscures the southern infrared binary, T Tau South. Observations by members of the American Association of Variable Star Observers (AAVSO) show that T Tau North, the optical star, has dimmed by up to ~2 magnitudes in the visual over the course of the past decade. The dimming across the B, V, R and I bands has a color character typical of changes in ISM extinction, suggesting an increase in obscuration along the line of sight to T Tau North. Material associated with the circumbinary ring around T Tau South has been predicted to occult the optical star via wide-scale orbital motion of the system. Through analysis of the geometrical configuration and motion of dust structures in the system, it seems that a great dimming of T Tau North by line-of-sight material associated with the T Tau South binary has, in fact, begun. Based on the extent and motion of the circumbinary ring material associated with the southern binary, T Tau North will likely experience dimming events for decades to come and may disappear entirely from the optical sky as the densest mid-plane region of the ring traverses our line of sight.
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9.188112
12.305833
2025-01-02
0
2025arXiv250106378B
[ "T Tau North", "T Tau South", "the T Tau South binary", "molecular material", "Variable Star Observers", "the T Tauri triple system", "dimming events", "motion", "ISM extinction", "dust structures" ]
[ "Astrophysics - Solar and Stellar Astrophysics" ]
344
[ "10.48550/arXiv.2501.06378" ]
[ "Beck, Tracy L." ]
[ "-" ]
null
[ "1864MNRAS..24...65H", "1890MNRAS..51...94B", "1950ApJ...111...11H", "1972JOSA...62...55R", "1974AJ.....79..745L", "1982ApJ...255L.103D", "1989ApJ...345..245C", "1990ARA&A..28...37M", "1992AJ....103..953G", "1994AJ....108.1906H", "2000ApJ...531L.147K", "2001AJ....122..413B", "2002ApJ...568..771D", "2003AJ....126.3076W", "2010A&A...517A..19G", "2013A&A...558A..33A", "2013ApJ...772...60R", "2016A&A...587A..35K", "2016ascl.soft08006G", "2018AJ....156...58B", "2018AJ....156..123A", "2020AJ....160...35S", "2020ApJ...898..109F", "2020ApJ...902..132B" ]
32553628
2501.06379
Macroscopic properties of the XTE J1814-338 as a dark matter admixed strange star
In this letter, I discuss the macroscopic properties of the ultracompact object XTE J1814-338, whose inferred mass and radius read $M$ = 1.21 $\pm$ 0.05 $M_\odot$ and R = 7.0 $\pm$ 0.4 km. By using the neutralino as WIMP dark matter with a fixed Fermi momentum, I calculated the maximum possible mass of this object, the moment of inertia, the gravitational redshift, the dimensionless tidal parameter, and the total amount of dark matter for a 1.2$M_\odot$ star.
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6.108122
6.42235
2025-01-02
0
2025arXiv250106379L
[ "WIMP dark matter", "dark matter", "XTE J1814", "\\pm$", "M$", "Fermi", "radius", "the maximum possible mass", "inertia", "R" ]
[ "Astrophysics - High Energy Astrophysical Phenomena", "High Energy Physics - Phenomenology" ]
188
[ "10.48550/arXiv.2501.06379" ]
[ "Lopes, Luiz L." ]
[ "-" ]
null
[ "1971PhRvD...4.1601B", "2013PhLB..725..200G", "2017PhRvD..96h3004P", "2022Galax..10...14D", "2023JCAP...05..034L", "2024MNRAS.535.1507K", "2024arXiv240813157P", "2024arXiv240915969Y", "2024arXiv241117105L" ]
32553616
2501.06383
No-go Theorem for Cosmological Parity Violation
A no-go theorem for parity-violation in even $D$-dimensional spacetimes invariant under $ISO(d)$ and dilatations (as well as the implications for odd $D$) is derived. For the case of real massless scalar and gravitons (as well as any massless even integer spin-$s$ field) at $\mathcal{I}^+$, the reality of wavefunction coefficients in Fourier space to all orders in perturbation theory (any order in loops) coming from a local, unitary, IR- and UV-finite theory, which start from the initial \CRT-invariant Bunch-Davies state in the infinite past, is proven. From this it is inferred that a parity-odd correlator with any massless scalar fields and even integer spin-$s$ fields vanishes in the presence of any number of interactions of massless fields. The same is true for correlators with an even number of conformally-coupled and massless odd integer spin-$s$ external fields, which is used to derive the cosmological analogue of Furry's theorem. The fundamental implications of \CRT symmetry for theories with chemical potentials, such as Chern-Simons and Axion inflation, is also discussed. Given the recent interest in parity-violation coming from observational claims of parity-violation detection, these results provide clear constraints on parity-violating models of inflation and establish the measurement of any parity-odd correlator as an exceptionally sensitive probe of new physics beyond vanilla inflation.
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11.521402
-0.293571
2025-01-02
1
2025arXiv250106383T
[ "massless fields", "perturbation theory", "real massless scalar", "theories", "correlators", "vanilla inflation", "parity-violation detection", "inflation", "chemical potentials", "even integer spin-$s$ fields vanishes" ]
[ "High Energy Physics - Theory", "Astrophysics - Cosmology and Nongalactic Astrophysics", "General Relativity and Quantum Cosmology" ]
582
[ "10.48550/arXiv.2501.06383" ]
[ "Thavanesan, Ayngaran" ]
[ "-" ]
[ "2024arXiv241202739G" ]
[ "2004JCAP...04..001A", "2004JHEP...05..074H", "2006JHEP...08..082J" ]
32553631
2501.06388
Realizability-Preserving Discontinuous Galerkin Method for Spectral Two-Moment Radiation Transport in Special Relativity
We present a realizability-preserving numerical method for solving a spectral two-moment model to simulate the transport of massless, neutral particles interacting with a steady background material moving with relativistic velocities. The model is obtained as the special relativistic limit of a four-momentum-conservative general relativistic two-moment model. Using a maximum-entropy closure, we solve for the Eulerian-frame energy and momentum. The proposed numerical method is designed to preserve moment realizability, which corresponds to moments defined by a nonnegative phase-space density. The realizability-preserving method is achieved with the following key components: (i) a discontinuous Galerkin (DG) phase-space discretization with specially constructed numerical fluxes in the spatial and energy dimensions; (ii) a strong stability-preserving implicit-explicit (IMEX) time-integration method; (iii) a realizability-preserving conserved to primitive moment solver; (iv) a realizability-preserving implicit collision solver; and (v) a realizability-enforcing limiter. Component (iii) is necessitated by the closure procedure, which closes higher order moments nonlinearly in terms of primitive moments. The nonlinear conserved to primitive and the implicit collision solves are formulated as fixed-point problems, which are solved with custom iterative solvers designed to preserve the realizability of each iterate. With a series of numerical tests, we demonstrate the accuracy and robustness of this DG-IMEX method.
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8.601289
4.471297
2025-01-02
0
2025arXiv250106388H
[ "moment realizability", "higher order moments", "primitive moments", "moments", "numerical tests", "relativistic velocities", "custom iterative solvers", "a realizability-preserving numerical method", "a realizability-preserving implicit collision", "The proposed numerical method" ]
[ "Mathematics - Numerical Analysis", "Astrophysics - High Energy Astrophysical Phenomena", "Physics - Computational Physics" ]
203
[ "10.48550/arXiv.2501.06388" ]
[ "Hunter, Joseph", "Endeve, Eirik", "Laiu, M. Paul", "Xing, Yulong" ]
[ "-", "-", "-", "-" ]
null
[ "1978JQSRT..20..541M", "1984JQSRT..31..149L", "1986CoPhR...3..165M", "1987JCoPh..69..283L", "2001NSE...137..298A", "2002IJNMF..40..413L", "2002astro.ph..6281A", "2011JQSRT.112.1323V", "2011JQSRT.112.2486L", "2011PThPh.125.1255S", "2012ApJ...755...11K", "2013rehy.book.....R", "2014ApJ...796...22F", "2014ApJS..214...16N", "2016ApJ...831...98R", "2019LRR....23....1M", "2020ApJ...900...71A", "2020LRCA....6....4M", "2021ApJ...920...82F", "2021ApJS..253...21P", "2021PhRvD.103b3018K", "2023ApJ...949..103W", "2023LRCA....9....1F" ]
32553638
2501.06395
The heating efficiency of hot Jupiters from a data-driven perspective
The inflated radii of hot Jupiters have been explored by various theoretical mechanisms. By connecting planetary thermal evolution models with the observed properties of hot Jupiters using hierarchical Bayesian models, a theoretical parameter called the heating efficiency has been introduced to describe the heating of the interiors of these planets. Previous studies have shown that the marginal distribution of this heating efficiency parameter has a single-peak distribution along the planetary equilibrium temperature (Teq). Since the foundation of these Bayesian inference models are the observed properties of hot Jupiters, there must be a corresponding feature in the observed data that leads to the inferred single-peak distribution of the heating efficiency. This study aims to find the underlying cause of the single-peak heating efficiency distribution without relying on specific theoretical models. By analyzing the relationship between different observed physical properties, we obtained a similar single-peak distribution of the radius expansion efficiency of hot Jupiters along Teq, which can be explained by the correlation with the stellar effective temperature. However, a detailed investigation suggests that this single-peak distribution is actually the result of straightforward physical processes. Specifically, the increase in heating efficiency can be attributed to the increase in incident stellar flux, while the decrease in heating efficiency can be attributed to the rise in gravitational binding energy associated with the increase in planetary mass.
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7.642595
14.755443
2025-01-02
0
2025arXiv250106395J
[ "heating efficiency", "hot Jupiters", "different observed physical properties", "planetary thermal evolution models", "specific theoretical models", "hierarchical Bayesian models", "the single-peak heating efficiency distribution", "incident stellar flux", "various theoretical mechanisms", "planetary mass" ]
[ "Astrophysics - Earth and Planetary Astrophysics" ]
201
[ "10.48550/arXiv.2501.06395" ]
[ "Jin, Sheng", "Wu, Dong-Hong", "Cao, Yi-Xuan", "Guo, Zi-Yi" ]
[ "-", "-", "-", "-" ]
null
[ "1967ApJ...150..551K", "1992StaSc...7..457G", "1995Natur.378..355M", "2000ApJ...529L..41H", "2000ApJ...529L..45C", "2000ApJ...534L..97B", "2001ApJ...548..466B", "2002A&A...385..156G", "2002A&A...385..166S", "2004A&A...419L..13B", "2006ApJ...650..394A", "2007ApJ...659.1661F", "2007ApJ...661..502B", "2007ApJ...661L..81C", "2007ApJ...665.1489K", "2007Natur.447..183K", "2008A&A...482..315B", "2008ApJ...678.1419F", "2010A&A...520A..27G", "2010ApJ...714....1A", "2010ApJ...714L.238B", "2010ApJ...721.1113Y", "2010ApJ...724..313P", "2010ApJ...725.2166H", "2010SSRv..152..423F", "2011ApJ...729L...7L", "2011ApJ...736L..29M", "2011ApJ...738....1B", "2011ApJS..197...12D", "2011MNRAS.416.2108A", "2012A&A...540A..99E", "2012ApJ...757...47H", "2013ApJ...763...13W", "2013ApJ...768...14W", "2014ApJ...789L..20D", "2014MNRAS.437.1378M", "2015A&A...575A..71A", "2015ApJ...801...41R", "2015ApJ...813...47M", "2015ApJ...815...78K", "2016ApJ...819..116G", "2016ApJ...820...93S", "2016ApJ...825...19W", "2016ApJ...831...64T", "2016MNRAS.458.4025D", "2017ApJ...834...17C", "2017ApJ...841...30T", "2017ApJ...847L...2B", "2017MNRAS.469.1768J", "2018A&A...616A..76S", "2018A&A...617A.110P", "2018AJ....155..214T", "2018AJ....156...10M", "2018AJ....156...17K", "2018ApJ...855L..30A", "2018ApJ...857L..20B", "2018ApJ...866...27L", "2018RNAAS...2...36K", "2019A&A...632A.114S", "2019ApJ...886...26T", "2021A&A...645A..79S", "2021MNRAS.505.4515R", "2024ApJS..274...10J", "2024MNRAS.528.1016T" ]
32553645
2501.06403
Multi-episodes of remote brightenings driven by a coronal EUV jet on the Sun
Remote brightening (RB) is compact brightening at footpoints of magnetic loops, which are remotely-connecting to and confining an eruption in the solar atmosphere. Here, we report on observations of an RB resulting from an EUV jet with a speed of about 90\,km\,s$^{-1}$. The loops connecting the RB and the jet have an apparent length of about 59\,Mm. Intriguingly, the RB exhibits at least two episodes of brightenings, as characterised by two peaks in its lightcurve. The energies, which sustain the first and second peaks of the RB, are $6.3\times10^{26}$\,erg and $8.4\times10^{26}$\,erg, respectively, and take a significant proportion of the total energy. The first peak of the RB brightenings coincides with the jet's peak with a time delay of 12 seconds, while the second peak lags behind by 108 seconds. Besides the flows of the ejecta, we have identified two additional flows originating from the eruption site. One is relatively cool with a temperature of $log_{10}T/K=5.8-6.1$ and has a speed of about $275\pm15$\,km\,s$^{-1}$. The other is hot with a temperature of $log_{10}T/K=7.0-7.3$ and travels much faster with a speed of about 750$\pm$\,70\,km\,s$^{-1}$. We attribute the second peak of RB directly to this hot flow, which our numerical experiments suggest is the result of a slow shock wave. Considering the minimal time delay between the first peak of RB and the eruption, we infer this first episode is due to heating by nonthermal electrons. Our research demonstrates that the dynamics in an RB can offer vital insights into the nature of the corresponding eruption and help understand how the energy is distributed throughout the solar atmosphere.
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16.474924
0.996227
2025-01-02
0
2025arXiv250106403Z
[ "RB", "compact brightening", "Remote brightening", "brightenings", "magnetic loops", "first", "second", "the RB brightenings", "vital insights", "the second peak lags" ]
[ "Astrophysics - Solar and Stellar Astrophysics" ]
153
[ "10.48550/arXiv.2501.06403" ]
[ "Zhang, Chao", "Huang, Zhenghua", "Wei, Hengyuan", "Qi, Youqian", "Shi, Mijie", "Fu, Hui", "Zuo, Xiuhui", "Liu, Weixin", "Sun, Mingzhe", "Xiong, Ming", "Xia, Lidong" ]
[ "-", "-", "-", "-", "-", "-", "-", "-", "-", "-", "-" ]
null
[ "1982SoPh...77..263T", "1983ApJ...265.1084K", "1985ApJ...288..401R", "1992PASJ...44L.161S", "2002ApJ...569.1026W", "2005ApJ...618.1012W", "2005ApJ...630.1160B", "2006ApJ...642.1205L", "2006JApA...27..267U", "2007ApJS..170..228M", "2007PASJ...59S.745S", "2007SoPh..240..227W", "2009ApJ...700..559M", "2009SoPh..258...53C", "2010ApJ...714.1762P", "2012A&A...548A..62H", "2012ApJ...760..101W", "2012ApJ...761...62C", "2012SoPh..275...17L", "2012SoPh..275..207S", "2013ApJ...769..112D", "2013ApJ...776...16P", "2013ApJ...777...16Y", "2013ApJ...778..139S", "2014ApJ...781L..23W", "2014ApJ...793L..28Y", "2014ApJ...797...88H", "2015ApJ...807..143C", "2015ApJ...809...45Z", "2015ApJ...813...33F", "2016A&A...596A..36P", "2016ApJ...818....9M", "2016ApJ...820...77W", "2016SSRv..201....1R", "2018ApJ...856L..17S", "2018ApJ...859..122L", "2020A&A...642A.195K", "2020ApJ...897..113H", "2020ApJ...899...34L", "2020SoPh..295...75D", "2022ApJ...936L..13X", "2022ApJS..260...19Z", "2022LRSP...19....1P", "2023ApJ...953..172W", "2023ApJ...958..116W", "2023ApJ...959...67C" ]
32553661
2501.06413
Probing Signals of Self-Interacting Dark Matter Core Collapse in \textsc{Hi}-Rich Galaxies
We analyze rotation curves of five \textsc{Hi}-rich galaxies recently discovered with MeerKAT. These galaxies exhibit sharply rising rotation curves, while their baryonic components are not dynamically dominant, suggesting that their dark matter halos have high inner densities. When fitting the standard Navarro-Frenk-White (NFW) halo model, four galaxies require extremely high halo concentrations, exceeding the cosmological median by $5\sigma$. In contrast, self-interacting dark matter (SIDM) halos in the core-collapse phase naturally account for the high densities in these galaxies. For halos with masses around $10^{11}~{\rm M_\odot}$, those in cosmic filaments exhibit concentrations consistent with the cosmological average, while halos in cosmic nodes show relatively higher concentrations that align with the SIDM fits but remain insufficient for the NFW fits. Our analysis indicates that these \textsc{Hi}-rich galaxies may have formed in cosmic nodes of dark matter with significant self-interactions.
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10.67462
5.954786
2025-01-02
0
2025arXiv250106413K
[ "dark matter", "cosmic nodes", "high inner densities", "halos", "cosmic filaments", "rotation curves", "concentrations", "extremely high halo concentrations", "their dark matter halos", "self-interacting dark matter" ]
[ "Astrophysics - Astrophysics of Galaxies", "High Energy Physics - Phenomenology" ]
294
[ "10.48550/arXiv.2501.06413" ]
[ "Kong, Demao", "Yu, Hai-Bo" ]
[ "-", "-" ]
null
[ "1986ApJ...301...27B", "1990ApJ...356..359H", "1994ApJ...427L...1F", "1994Natur.370..629M", "1997ApJ...490..493N", "2000PhRvL..84.3760S", "2001AJ....122.2396D", "2001ApJ...552L..23D", "2001NewA....6...79S", "2002ApJ...568..475B", "2004ApJ...616...16G", "2005MNRAS.364.1105S", "2007MNRAS.378...41S", "2008AJ....136.2648D", "2010Natur.463..203G", "2011MNRAS.415.1125K", "2012MNRAS.421.3464P", "2012MNRAS.423.3740V", "2013MNRAS.430...81R", "2013MNRAS.431L..20Z", "2013MNRAS.433.3539G", "2013PASP..125..306F", "2014MNRAS.437..415D", "2014MNRAS.441.3359D", "2014PhRvL.113b1302K", "2015AJ....149..180O", "2015ApJ...804..131P", "2015MNRAS.452.3650O", "2015MNRAS.454.2981C", "2016MNRAS.456.3542T", "2016MNRAS.459.2573R", "2016MNRAS.462.3628R", "2017MNRAS.468.2283C", "2017MNRAS.471.3547F", "2017PhRvL.119k1102K", "2018MNRAS.473.4392S", "2018MNRAS.476L..20R", "2018MNRAS.479..359S", "2018PhR...730....1T", "2019MNRAS.484.4563D", "2019MNRAS.487.1764T", "2019PhRvL.123l1102E", "2019PhRvX...9c1020R", "2020ApJ...896..112N", "2020JCAP...06..027K", "2020MNRAS.495...58S", "2020MNRAS.497.2393L", "2020PhRvD.101f3009N", "2020PhRvL.124n1102S", "2020PhRvL.125k1105Y", "2021ApJ...914L..26F", "2021MNRAS.503..920C", "2021MNRAS.505.5327T", "2021MNRAS.507..720S", "2021PhRvD.103f3517H", "2022JCAP...05..036F", "2022JCAP...07..031Z", "2022JCAP...09..077Y", "2022MNRAS.513.4845Z", "2022MNRAS.517.3045C", "2023ApJ...949...67Y", "2023ApJ...958L..39N", "2023MNRAS.521.4630J", "2023MNRAS.526..758Z", "2023PhRvD.107d3014S", "2024A&A...687A.270R", "2024ApJ...965L..19K", "2024ApJ...968L..13Z", "2024JCAP...02..032Y", "2024MNRAS.529.2327F", "2024MNRAS.529.3469G", "2024MNRAS.533.4007Y", "2024PhRvD.110j3044Y", "2024arXiv240715005R", "2025ApJ...978L..23Z", "2025MNRAS.536.3338C", "2025PDU....4701807Y" ]
31276053
2501.06439
Optimization of x-ray event screening using ground and in-orbit data for the Resolve instrument onboard the XRISM satellite
The XRISM (X-Ray Imaging and Spectroscopy Mission) satellite was successfully launched and put into low- Earth orbit on September 6, 2023 (UT). The Resolve instrument onboard XRISM hosts an x-ray microcalorimeter detector, which was designed to achieve a high-resolution (&lt;=7 eV FWHM at 6 keV), high-throughput, and nondispersive spectroscopy over a wide energy range. It also excels in a low background with a requirement of &lt; 2 × 10<SUP>−3</SUP> s<SUP>−1</SUP> keV<SUP>−1</SUP> (0.3-12.0 keV), which is equivalent to only one background event per spectral bin per 100 ks exposure. Event screening to discriminate x-ray events from background is a key to meeting the requirement. We present the result of the Resolve event screening using the data sets on the ground and in the orbit based on the heritage of the preceding x-ray microcalorimeter missions, in particular, the Soft X-ray Spectrometer (SXS) onboard ASTRO-H. We optimize and evaluate 19 screening items of three types based on (1) the event pulse shape, (2) relative arrival times among multiple events, and (3) good time intervals. We show that the initial screening, which is applied for science data products in the performance verification phase, reduces the background rate to 1.8×10<SUP>−3</SUP> s<SUP>−1</SUP> keV<SUP>−1</SUP> meeting the requirement. We further evaluate the additional screening utilizing the correlation among some pulse shape properties of x-ray events and show that it further reduces the background rate particularly in the &lt;2 keV band. Over 0.3-12 keV, the background rate becomes 1.0 × 10<SUP>−3</SUP> s<SUP>−1</SUP> keV<SUP>−1</SUP>.
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9.940516
3.557707
2024-01-09
1
2024SPIE13093E..63M
[ "x-ray events", "multiple events", "Event", "background", "the preceding x-ray microcalorimeter missions", "an x-ray microcalorimeter detector", "low- Earth orbit", "science data products", "Spectroscopy Mission", "the event pulse shape" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics" ]
144
[ "10.1117/12.3019453", "10.48550/arXiv.2501.06439" ]
[ "Mochizuki, Yuto", "Tsujimoto, Masahiro", "Kilbourne, Caroline A.", "Eckart, Megan E.", "Ishisaki, Yoshitaka", "Kanemaru, Yoshiaki", "Leutenegger, Maurice A.", "Mizumoto, Misaki", "Porter, Frederick S.", "Sato, Kosuke", "Sawada, Makoto", "Yamada, Shinya" ]
[ "The Univ. of Tokyo (Japan)", "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (Japan)", "NASA Goddard Space Flight Ctr. (United States)", "Lawrence Livermore National Lab. (United States)", "Tokyo Metropolitan Univ. (Japan)", "Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (Japan)", "NASA Goddard Space Flight Ctr. (United States)", "Univ. of Teacher Education Fukuoka (Japan)", "NASA Goddard Space Flight Ctr. (United States)", "Saitama Univ. (Japan)", "Rikkyo Univ. (Japan)", "Rikkyo Univ. (Japan)" ]
[ "2024ApJ...977L..21M" ]
[ "1983ApJ...272..118C", "1997NewA....2..501F", "1999SPIE.3765..741B", "2004PhLB..592....1P", "2007PASJ...59S..77K", "2016SPIE.9905E..0VK", "2018JATIS...4a1217I", "2018JATIS...4b1404C", "2018JLTP..193..505T", "2020RScI...91h3110L", "2021JATIS...7b8005M", "2021JATIS...7c7001T" ]
32553694
2501.06450
Forty years of the Ellis-Baldwin test
Modern cosmology is built on the assumption that the Universe is homogeneous and isotropic on large scales - but this is challenged by results of the Ellis-Baldwin test that show an unexplained anomaly in the distribution of distant galaxies and quasars.
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11.55832
1.761552
2025-01-02
0
2025arXiv250106450S
[ "large scales", "distant galaxies", "Modern cosmology", "Universe", "Ellis", "results", "quasars", "an unexplained anomaly", "the Ellis-Baldwin test", "the assumption" ]
[ "Astrophysics - Cosmology and Nongalactic Astrophysics", "General Relativity and Quantum Cosmology" ]
553
[ "10.48550/arXiv.2501.06450" ]
[ "Secrest, Nathan", "von Hausegger, Sebastian", "Rameez, Mohamed", "Mohayaee, Roya", "Sarkar, Subir" ]
[ "-", "-", "-", "-", "-" ]
null
[ "2022ApJ...937L..31S" ]
32553686
2501.06451
On Legacy of Starobinsky Inflation
Alexei Alexandrovich Starobinsky was one of the greatest cosmologists of all times, who made fundamental contributions to gravitational theory and cosmology based on geometrical ideas in physics, in the spirit of Einstein. One of his big achievements is the famous Starobinsky model of cosmological inflation in the early universe, proposed in 1979-1980. In this memorial paper, the Starobinsky inflation model is systematically reviewed from the modern perspective. Its deformation to include production of primordial black holes is proposed, and possible quantum corrections in the context of superstring theory and the Swampland Program are discussed. Starobinsky inflation also leads to the universal reheating mechanism for particle production after inflation.
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11.0262
-0.856026
2025-01-02
0
2025arXiv250106451K
[ "Starobinsky inflation", "cosmological inflation", "gravitational theory", "superstring theory", "inflation", "primordial black holes", "possible quantum corrections", "Starobinsky", "particle production", "geometrical ideas" ]
[ "General Relativity and Quantum Cosmology", "Astrophysics - Cosmology and Nongalactic Astrophysics", "High Energy Physics - Theory" ]
626
[ "10.48550/arXiv.2501.06451" ]
[ "Ketov, Sergei V." ]
[ "-" ]
null
[ "1997PhLB..409..177G", "1997PhRvL..78.1861L", "2003JHEP...05..013M", "2006PhRvD..73f4006K", "2009CQGra..26m5006K", "2009PhLB..674...59G", "2010AIPC.1241..613K", "2010JCAP...06..005A", "2010JHEP...11..023H", "2010PhLB..692..272K", "2011JCAP...03..011K", "2011PhLB..700..157G", "2011PhLB..705..410K", "2011PhRvD..83f3512K", "2012JCAP...08..022K", "2012MPLA...2750225K", "2012PhRvD..86b3529K", "2013IJMPA..2830021K", "2013JHEP...12..040K", "2013PTEP.2013l3B04K", "2014JHEP...12..062K", "2014PhLB..736..272K", "2014PhRvD..89h5042K", "2015JCAP...07..050E", "2015JPhCS.610a2011G", "2015PhLB..741..242K", "2015PhLB..746..217B", "2016CQGra..33c5010L", "2016JCAP...03..008E", "2016JHEP...01..019E", "2017JCAP...03..061A", "2017PhRvD..95j3507K", "2017PhRvD..96l3530N", "2017arXiv170200786A", "2018EPJC...78..642A", "2018ForPh..6600052K", "2018JCAP...04..016F", "2018MPLA...3350032A", "2018PhRvD..98h3511A", "2018PhRvD..98h6004D", "2018arXiv180608362O", "2018arXiv180909975K", "2019AN....340..126K", "2019CQGra..36g5012A", "2019EPJC...79..713A", "2019ForPh..6700037P", "2019JCAP...02..056A", "2019JHEP...08..160S", "2019arXiv190210541H", "2020EPJC...80..917A", "2020JCAP...09..037P", "2020JPhA...53h4001K", "2020PhRvD.101g5012A", "2021PhLB..81436069A", "2021PhRvL.126d1303D", "2021PhRvL.127o1301A", "2022A&A...657A..91E", "2022ApJ...926...54A", "2022EPJC...82..681A", "2022JCAP...12..032K", "2022MPLA...3750135F", "2022PhR...989....1V", "2022PhRvD.105h3524T", "2022PhRvD.106f3535G", "2023ApJ...951L...8A", "2023Astro...2...47F", "2023JCAP...11..023J", "2023JHEP...09..038B", "2023Univ....9..323S", "2024CQGra..41s5014I", "2024IJMPD..3340008F", "2024JHEP...07..018B", "2024JHEP...07..186L", "2024PhRvD.110f3552T", "2024PhRvD.110j4032B", "2024PhRvL.132v1003K", "2024Univ...10..354S", "2024arXiv240606923K" ]
32553700
2501.06453
Comparison of Equations of State for Neutron Stars with First-Order Phase Transitions: A Qualitative Study
The equation of state is fundamental in describing matter under the extreme conditions characteristic of neutron stars and is central to advancing our understanding of dense matter physics. A critical challenge, however, lies in accurately modelling first-order phase transitions while ensuring thermodynamic consistency and aligning with astrophysical observations. This study explores two frameworks for constructing EoSs with first-order phase transitions: the polytropic interpolation method and the randomized speed-of-sound interpolation approach. It is found that the mass-radius relation and pressure vs. energy density relation are blind towards the thermodynamic consistency check. The polytropic interpolation method can exhibit discontinuities in the chemical potential for first-order phase transition, raising concerns regarding potential causality violations and thermodynamic inconsistencies. In contrast, the speed of sound interpolation approach ensures continuity in the chemical potential, offering a more thermodynamically consistent and reliable framework. Moreover, the sound speed method effectively captures the softer segment of the mass-radius spectrum, a capability not achieved by the consistent piecewise-polytropic approach due to its monotonic stiffness constraints. The speed of sound definition involving number density and chemical potential reveals the thermodynamic inconsistency, making it a more consistent and robust definition. These findings underscore the importance of thermodynamic consistency in EoS construction and highlight the advantages of the randomized speed-of-sound method for modelling phase transitions in dense matter.
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4.776989
1.87473
2025-01-02
0
2025arXiv250106453V
[ "thermodynamic consistency", "modelling phase transitions", "sound interpolation approach", "thermodynamic inconsistencies", "dense matter", "dense matter physics", "energy density relation", "sound definition", "first-order phase transition", "first-order phase transitions" ]
[ "Astrophysics - High Energy Astrophysical Phenomena" ]
190
[ "10.48550/arXiv.2501.06453" ]
[ "Verma, Anshuman", "Saha, Asim Kumar", "Mallick, Ritam" ]
[ "-", "-", "-" ]
null
[ "1939PhRv...55..364T", "1971ApJ...170..299B", "2000ApJ...530L..69B", "2002A&A...385..301H", "2004Sci...304..536L", "2006NuPhA.777..479L", "2007Natur.445E...7A", "2007PhLB..654..170K", "2008A&A...479..515Z", "2009ApJ...697.1549X", "2010IJMPD..19.1569F", "2010Natur.467.1081D", "2012A&A...540A.100W", "2013ApJ...773...11H", "2014ApJ...780..135C", "2014ApJ...781L..25F", "2014ApJ...789..127K", "2014GReGr..46.1713L", "2014PhRvL.113e2502B", "2015ApJ...805...89L", "2015CQGra..32b4001A", "2015CQGra..32g4001L", "2015PhRvL.115m0402S", "2016ApJ...831..127Z", "2017ApJ...835..185Y", "2017ApJ...848...65B", "2018JChEd..95.2086J", "2018Univ....4...94A", "2019JPhG...46k3002B", "2019PhRvL.122f1102B", "2019PhRvL.122l2701M", "2020ApJ...896L..44A", "2020NatCo..11.2581M", "2020NatPh..16..907A", "2021ASSL..461....1M", "2021PhRvL.126n1104V", "2022ApJ...932..133A", "2022EPJWC.27407002M", "2022PhRvL.128t2701K", "2023ApJ...955..100G", "2024EPJC...84.1291C", "2024LRR....27....3K", "2024PhRvD.110d3017Z", "2024PhRvD.110j3045T", "2025ApJ...978....8G" ]
32559396
2501.06462
Polycyclic Aromatic Hydrocarbons as an Extraterrestrial Atmospheric Technosignature
Polycyclic aromatic hydrocarbons (PAHs) are prevalent in the Universe and interstellar medium but are primarily attributed to anthropogenic sources on Earth, such as fossil fuel combustion and firewood burning. Drawing upon the idea of PAHs being suitable candidates for technosignatures, we investigate the detectability of those PAHs that have available absorption cross sections in the atmospheres of Earth-like exoplanets (orbiting G-type stars at a distance of 10 pc) with an 8 m mirror of the Habitable Worlds Observatory (HWO). Specifically, we focus on Naphthalene, Anthracene, Phenanthrene, and Pyrene. Our simulations indicate that under current-Earth-like conditions, detecting PAH signatures between 0.2 and 0.515 μm is infeasible. To account for the historical decline in PAH production post the industrial revolution, we explore varying PAH concentrations to assess instrumental capabilities of detecting civilizations resembling modern Earth. We also evaluate telescope architectures (6 m, 8 m, and 10 m mirror diameters) to put our results into the context of the future HWO mission. With these four molecules, PAH detection remains infeasible, even at concentrations 10 times higher than current levels. While larger mirrors provide some advantages, they fail to resolve the spectral signatures of these molecules with significant signal-to-noise ratios. The UV absorption features of PAHs—caused by π-orbital → π*-orbital electronic transitions—serve as valuable markers, due to their distinct and detectable nature, preserved by the aromatic stability of PAHs. Additional lab measurements are necessary to gather absorption cross-sectional data beyond UV for more abundant PAHs. This may help further in improving the detectability of these molecules.
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7.341076
14.500486
2025-01-02
0
2025PSJ.....6....4D
[ "varying PAH concentrations", "PAH signatures", "PAH production post", "PAH detection", "absorption cross-sectional data", "available absorption cross sections", "more abundant PAHs", "PAH", "mirror diameters", "PAHs" ]
[ "Exoplanet atmospheres", "Technosignatures", "Exoplanet atmospheric composition", "487", "2128", "2021", "Astrophysics - Earth and Planetary Astrophysics" ]
276
[ "10.3847/PSJ/ad98eb", "10.48550/arXiv.2501.06462" ]
[ "Dubey, Dwaipayan", "Kopparapu, Ravi", "Ercolano, Barbara", "Molaverdikhani, Karan" ]
[ "Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstr. 1, D-81679 München, Germany; Exzellenzcluster \"Origins,\" Boltzmannstr. 2, D-85748 Garching, Germany;", "NASA Goddard Space Flight Center, 8800 Greenbelt Road, Greenbelt, MD 20771, USA;", "Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstr. 1, D-81679 München, Germany; Exzellenzcluster \"Origins,\" Boltzmannstr. 2, D-85748 Garching, Germany", "Universitäts-Sternwarte, Fakultät für Physik, Ludwig-Maximilians-Universität München, Scheinerstr. 1, D-81679 München, Germany; Exzellenzcluster \"Origins,\" Boltzmannstr. 2, D-85748 Garching, Germany;" ]
null
[ "1960Natur.186..670B", "1960Sci...131.1667D", "1966ilun.book.....S", "1968JMoSp..26....1K", "1978GeCoA..42..289L", "1980ASSL...83..177O", "1980Icar...42..149W", "1980Icar...42..442F", "1992JQSRT..48...79S", "1997JPPA..104...25T", "1997Sci...278.1068P", "2000ARA&A..38..427E", "2002ApJ...568..377C", "2004A&A...426..105M", "2004Natur.431...47R", "2005ApJ...627..534A", "2005ApJ...628..555H", "2006A&A...460..519R", "2006AsBio...6..490E", "2006dies.conf..247C", "2007ApJ...657..810D", "2007P&SS...55..383E", "2008ARA&A..46..289T", "2008ApJ...680..371W", "2008AtmEn..42.2895R", "2009ASPC..420..415C", "2009ApJ...705.1237G", "2010AsBio..10..121S", "2012AcAau..72...15H", "2012ApJ...744...20S", "2012ApJ...760..120K", "2012AsBio..12...61S", "2012AsBio..12..290L", "2013ACP....13.5189W", "2013ApJ...770..132L", "2013EnST...47.6415S", "2013GeoRL..40.1489D", "2013JBIS...66..144F", "2014ApJ...792...27W", "2014ApJ...792L...7L", "2015IJAsB..14..401K", "2015JQSRT.156...17G", "2015PASP..127..941C", "2016ApJ...816...17W", "2016IJAsB..15..333S", "2016MNRAS.459.1233K", "2016ScTEn.563.1008Z", "2017ACP....17.2839Z", "2017AJ....154...82P", "2017ARA&A..55..433K", "2017AtmEn.160..132E", "2017MNRAS.470L..82L", "2017PhR...713....1G", "2018ApJS..234...32B", "2018AsBio..18..630M", "2018AsBio..18..663S", "2018AsBio..18..709C", "2018AsBio..18..739F", "2018AsBio..18..779W", "2018JQSRT.217...86V", "2018arXiv180906857W", "2018arXiv181208681N", "2019A&A...632A..44T", "2019AJ....158...27L", "2019ApJ...879L..20O", "2019ApJ...887L..14B", "2019AsBio..19..927L", "2019NatAs...3.1086T", "2020ApJS..251...22M", "2020AsBio..20..572H", "2021ApJ...908..164K", "2021arXiv210508081T", "2021lcfb.book.....L", "2022MNRAS.512..430E", "2022PSJ.....3...60H", "2023A&A...678A..53D", "2023ApJ...955L..22L", "2023NatAs...7.1317L", "2023Natur.618...39G", "2024ApJ...970L...2C", "2024NatAs...8...39B" ]
32553726
2501.06477
Efficient Framework for Solving Plasma Waves with Arbitrary Distributions
Plasma, which constitutes 99\% of the visible matter in the universe, is characterized by a wide range of waves and instabilities that play a pivotal role in space physics, astrophysics, laser-plasma interactions, fusion research, and laboratory experiments. The linear physics of these phenomena is described by kinetic dispersion relations (KDR). However, solving KDRs for arbitrary velocity distributions remains a significant challenge, particularly for non-Maxwellian distributions frequently observed in various plasma environments. This work introduces a novel, efficient, and unified numerical framework to address this challenge. The proposed method rapidly and accurately yields all significant solutions of KDRs for nearly arbitrary velocity distributions, supporting both unstable and damped modes across all frequencies and wavevectors. The approach expands plasma species' velocity distribution functions using a series of carefully chosen orthogonal basis functions and employs a highly accurate rational approximation to transform the problem into an equivalent matrix eigenvalue problem, eliminating the need for initial guesses. The efficiency and versatility of this framework are demonstrated, enabling simplified studies of plasma waves with arbitrary distributions. This advancement paves the way for uncovering new physics in natural plasma environments, such as spacecraft observations in space plasmas, and applications like wave heating in fusion research.
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8.146788
4.32099
2025-01-02
0
2025arXiv250106477X
[ "arbitrary velocity distributions", "plasma waves", "space plasmas", "arbitrary distributions", "natural plasma environments", "various plasma environments", "non-Maxwellian distributions", "space physics", "plasma species velocity distribution functions", "new physics" ]
[ "Physics - Plasma Physics", "Astrophysics - High Energy Astrophysical Phenomena", "Astrophysics - Solar and Stellar Astrophysics", "Physics - Computational Physics", "Physics - Space Physics" ]
324
[ "10.48550/arXiv.2501.06477" ]
[ "Xie, Huasheng" ]
[ "-" ]
null
[ "1992wapl.book.....S", "2005ipp..book.....G", "2014CoPhC.185..670X", "2015JGRA..120.7107A", "2016PlST...18...97X", "2017JGRA..122...89A", "2021Natur.596..583J", "2021arXiv210316014X" ]
32553732
2501.06498
Study Self-lensing/Eclipsing Signals in Edge-on Double White-Dwarf Systems
Stellar lightcurves from edge-on double white dwarf systems(DWDs) have periodic lensing/eclipsing signals at times of alignment between two components as seen by the observer. Here, we study the characterization and detection of these signals. In common DWDs, the Einstein radii have similar orders of magnitude with WDs' radii, and the projected source and lens radii normalized to the Einstein radius ($\rho_{\star}$, and $\rho_{\rm l}$) are $\sim 1$. Both of them are reduced with the orbital period and the lens mass. If $\rho_{\rm l}\simeq 1$ the lensing-induced minor image is always blocked by the lens which results lower magnification factors. If $\rho_{\rm l}\lesssim 1$ and in transit events the finite-lens effects decrease the lightcurves' width. When $\rho_{\rm l}\gtrsim1$ (happens for close DWDs including one low-mass and one massive WD) deep or complete eclipses dominate to lensing effects. The self-lensing signals maximize for massive DWDs in wide orbits. We study the detect-ability of lensing/eclipsing signals in edge-on DWDs in observations by The NASA's Transiting Exoplanet Survey Satellite(TESS), The Vera Rubin Observatory(LSST) and The Nancy Grace Roman Space Telescope. We simulate stellar lightcurves due to edge-on DWDs and generate synthetic data points based on their observing strategies. Detection efficiency maximizes for extremely low-mass WDs in close orbits, and the numbers of DWDs within 100 pc and an observing cone with detectable lensing/eclipsing signals in one $27.4$-day TESS and $62$-day Roman observing window are $\sim1$ and $&lt;1$, respectively. Detecting these signals by LSST is barely possible because of its long cadence.
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8.068775
6.802288
2025-01-02
0
2025arXiv250106498S
[ "lensing effects", "massive DWDs", "close DWDs", "lens radii", "common DWDs", "detectable lensing/eclipsing signals", "periodic lensing/eclipsing signals", "lensing/eclipsing signals", "lower magnification factors", "Stellar lightcurves" ]
[ "Astrophysics - Solar and Stellar Astrophysics", "Astrophysics - Earth and Planetary Astrophysics" ]
183
[ "10.48550/arXiv.2501.06498" ]
[ "Sajadian, Sedighe" ]
[ "-" ]
null
[ "1971ARA&A...9..183P", "1972ApJ...175..417N", "1973A&A....26..215M", "1994ApJ...430..505W", "1995ApJ...446..541G", "1996astro.ph..6105G", "1997ChPhL..14..155Q", "1998LRR.....1...12W", "1999A&A...350..928T", "2000AJ....120.1579Y", "2001A&A...368..939N", "2002A&A...394..489B", "2002ApJ...579..430A", "2003ApJ...594..449A", "2004A&A...419.1057W", "2008EAS....29....1M", "2009AJ....137.4186L", "2009arXiv0912.0201L", "2010ApJ...723.1072B", "2010ApJ...725L.200S", "2010MNRAS.407..373S", "2010MNRAS.408.2188B", "2012PASP..124.1279C", "2014MNRAS.439.3007S", "2014SPIE.9143E..20R", "2014Sci...344..275K", "2015ApJS..219...12A", "2016ApJ...820...53H", "2016CQGra..33c5010L", "2017A&A...602A..16T", "2017PASP..129d4401M", "2017arXiv170200786A", "2018AJ....155..144K", "2018AJ....156..102S", "2018MNRAS.479.5157B", "2019ApJ...871..148L", "2019ApJ...881L...3M", "2019ApJ...886L..12B", "2019ApJS..241....3P", "2019PASP..131a8002B", "2020ApJ...889...49B", "2020ApJ...898...84K", "2020IJMPA..3550075R", "2020MNRAS.493.2805K", "2020MNRAS.498.1298S", "2020arXiv201201242A", "2021MNRAS.506.3266S", "2021MNRAS.507..374W", "2021MNRAS.508.5991S", "2021RNAAS...5..269G", "2022ApJ...925...89C", "2023AJ....165...96S", "2023MNRAS.521.6383S", "2023MNRAS.525.1814M", "2024AJ....168..298S", "2024ApJ...961L..45S", "2024MNRAS.532.2534M", "2025AJ....169....3S", "2025AJ....169...34S", "2025ApJ...978..169N", "2025MNRAS.536.2770J" ]
32553759
2501.06513
New look at old friends: EVN imaging of prominent radio-loud active galactic nuclei with extremely large radio-optical positional offsets
When comparing modern fundamental reference frames in the radio (International Celestial Reference Frame) and optical (Gaia), a couple of bright radio reference sources appear to have very large radio-optical offsets, from tens up to hundreds of milliarcseconds (mas). The amount of these positional misalignments exceeds the uncertainty of each individual technique by at least an order of magnitude. In most cases, complex and extended radio structure and its time variability, and thus the difficulty in pinpointing the true location of the central engine, is responsible for the large apparent offsets. Sometimes distant parts of the radio structure are not properly detected due to a lack of shorter interferometer baselines. For our 5-GHz very long baseline interferometry (VLBI) experiment using antennas of the European VLBI Network and the enhanced Multi Element Radio Linked Interferometer Network, we selected 10 bright radio-loud active galactic nuclei with extremely large radio-optical offsets. Sensitive imaging involving a wide range of projected baseline lengths, as well as phase-referencing to nearby sources shed light on the possible causes of positional inconsistencies. Here we show results for 3 selected sources from this project.
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15.350429
5.319781
2025-01-02
0
2025arXiv250106513F
[ "bright radio reference sources", "projected baseline lengths", "nearby sources", "shorter interferometer baselines", "modern fundamental reference frames", "International Celestial Reference Frame", "complex and extended radio structure", "positional inconsistencies", "the enhanced Multi Element Radio Linked Interferometer Network", "the radio structure" ]
[ "Astrophysics - Astrophysics of Galaxies" ]
184
[ "10.48550/arXiv.2501.06513" ]
[ "Frey, S.", "Titov, O.", "Melnikov, A.", "Lambert, S." ]
[ "-", "-", "-", "-" ]
null
[ "1983AJ.....88..688S", "1985A&A...143..292F", "1989A&A...217...44F", "1990A&A...231..333F", "1994BAAS...26..987S", "1995ASPC...82..227D", "1998A&A...338..840P", "1998AJ....115.1295K", "2003ASSL..285..109G", "2007A&A...470...97L", "2007ApJ...658..203H", "2010A&A...518A..23C", "2011A&A...529A..91T", "2012ApJ...760...77A", "2016A&A...595A...1G", "2016A&A...595A...5M", "2016MNRAS.459..820T", "2017A&A...598L...1K", "2017ApJ...835L..30M", "2017JGeod..91..711N", "2017MNRAS.467L..71P", "2019ApJ...871..143P", "2020A&A...644A.159C", "2020MNRAS.496.1811K", "2020RNAAS...4..108T", "2021FrASS...8....9K", "2021RNAAS...5...60F", "2022MNRAS.512..874T", "2023A&A...674A...1G", "2024A&A...684A.202L", "2024ApJ...961..240K", "2024ApJS..274...28C", "2025ApJS..276...38P" ]
32553767
2501.06532
Determination of galaxy photometric redshifts using Conditional Generative Adversarial Networks (CGANs)
Accurate and reliable photometric redshifts determination is one of the key aspects for wide-field photometric surveys. Determination of photometric redshift for galaxies, has been traditionally solved by use of machine-learning and artificial intelligence techniques trained on a calibration sample of galaxies, where both photometry and spectrometry are determined. On this paper, we present a new algorithmic approach for determining photometric redshifts of galaxies using Conditional Generative Adversarial Networks (CGANs). Proposed CGAN implementation, approaches photometric redshift determination as a probabilistic regression, where instead of determining a single value for the estimated redshift of the galaxy, a full probability density is computed. The methodology proposed, is tested with data from Dark Energy Survey (DES) Y1 data and compared with other existing algorithm such as a Random Forest regressor.
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11.856082
4.580713
2025-01-02
0
2025arXiv250106532G
[ "photometric redshift determination", "photometric redshift", "photometric redshifts", "galaxies", "other existing algorithm", "Conditional Generative Adversarial Networks", "Accurate and reliable photometric redshifts determination", "Dark Energy Survey", "Proposed CGAN implementation", "data" ]
[ "Astrophysics - Instrumentation and Methods for Astrophysics", "Astrophysics - Cosmology and Nongalactic Astrophysics", "Computer Science - Artificial Intelligence" ]
243
[ "10.48550/arXiv.2501.06532" ]
[ "Garcia-Fernandez, M." ]
[ "-" ]
null
[ "1996A&AS..117..393B", "2000A&A...363L..29S", "2004PASP..116..345C", "2010ApJ...715..823G", "2011JMLR...12.2825P", "2011ascl.soft08009A", "2011ascl.soft08010B", "2011ascl.soft08011B", "2013MNRAS.432.1483C", "2014MNRAS.445.1482S", "2014arXiv1411.1784M", "2016A&C....16...34H", "2016MNRAS.462..726A", "2016PASP..128j4502S", "2017MNRAS.465.1959C", "2018A&A...609A.111D", "2018AJ....155....1G", "2018ApJS..235...33D", "2018ApJS..239...18A", "2018MNRAS.476.1071G", "2019MNRAS.482.2807C", "2019NatAs...3..212S", "2019arXiv191201703P", "2021A&A...651A..55S", "2022A&A...668A...8L", "2022A&C....3800510L", "2022ARA&A..60..363N", "2023arXiv231016304C", "2024MNRAS.52712140L", "2024MNRAS.535.1844L", "2025JCAP...01..097P" ]