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other possible solutions to (this issue (e.g. cold spots on the DD surface) see (2011).
other possible solutions to this issue (e.g. cold spots on the BD surface) see \citet{bouchy11}.
For a low sdB mass of ~0.25M. the companions mass-raclius relation is also consistent with theory.
For a low sdB mass of $\simeq0.25\,M_{\rm \odot}$ the companion's mass-radius relation is also consistent with theory.
In this case the companion mass would be 0.045AZ...
In this case the companion mass would be $0.045\,M_{\rm \odot}$.
A third possibility mav be that the progenitor of the πα was originally more massive.
A third possibility may be that the progenitor of the sdB was originally more massive.
In this case the sdD mass could be as low as ~0.2M... ancl Che svstem as well as the substellar companion would be much vounger.
In this case the sdB mass could be as low as $\simeq0.3\,M_{\rm \odot}$ and the system as well as the substellar companion would be much younger.
Since voung BDs are considerably larger. this may. also lead to a consistent solution (see Fig. 4)).
Since young BDs are considerably larger, this may also lead to a consistent solution (see Fig. \ref{mr-relation}) ).
In the cases discussed above. the mass of the companion ranges between 0.045.romsM. and 0.068.trsM...
In the cases discussed above, the mass of the companion ranges between $0.045_{-0.002}^{+0.003}\,M_{\rm \odot}$ and $0.068_{-0.003}^{+0.003}\,M_{\rm \odot}$.
The most conservative theoretical lower limit for core hvdrogen-burning (~(LOTM... is right at the border of this range.
The most conservative theoretical lower limit for core hydrogen-burning \citep[$\simeq0.07\,M_{\rm \odot}$ is right at the border of this range.
We therefore conclude that Che companion is most likely a brown dwarf.
We therefore conclude that the companion is most likely a brown dwarf.
Iowever. given that the sdD mass is not strictly constrained. the companion may also be a star of extremely low mass.
However, given that the sdB mass is not strictly constrained, the companion may also be a star of extremely low mass.
We have presented a spectroscopic and photometric analysis of the IW Vir type eclipsing sdD star JOS205+0008. discovered in the course of the MUCIIFUSS project.
We have presented a spectroscopic and photometric analysis of the HW Vir type eclipsing sdB star J08205+0008, discovered in the course of the MUCHFUSS project.
Although the mass of the sdD is not vet tightly constrained. it is important to stress that (he companion remains below the core hvdrogen-burning limit lor reasonable subclwarl masses ranging [rom 0.25M. to 0.47M..
Although the mass of the sdB is not yet tightly constrained, it is important to stress that the companion remains below the core hydrogen-burning limit for reasonable subdwarf masses ranging from $0.25\,M_{\rm \odot}$ to $0.47\,M_{\rm \odot}$.
The inclination constraint [rom eclipses means that J082054-0008 has the lowest unambigeuouslv measured companion mass vet found in a subdwarl B binary.
The inclination constraint from eclipses means that J08205+0008 has the lowest unambiguously measured companion mass yet found in a subdwarf B binary.
The question whether (he sdB is burning helium in its core or not remains open lor now.
The question whether the sdB is burning helium in its core or not remains open for now.
Time resolved high resolution spectroscopy is necessary (o measure both (he 0,4sin and the logg of the subclwarl with high accuracy.
Time resolved high resolution spectroscopy is necessary to measure both the $v_{\rm rot}\sin{i}$ and the $\log{g}$ of the subdwarf with high accuracy.
Combined with a high-quality multi-colour light curve much tighter constraints could be put on this unique binary svstem.
Combined with a high-quality multi-colour light curve much tighter constraints could be put on this unique binary system.
The [act that (he sdB is situated on the ENB is a strong argument in favour of the EILD-scenario. because post-RGB objects are very rare and not related to the ENB.
The fact that the sdB is situated on the EHB is a strong argument in favour of the EHB-scenario, because post-RGB objects are very rare and not related to the EHB.
As witnessed by the IWVir type svstems. stellar companions with masses as low as O.1.U. are able (to eject a common envelope and form an sdB star without being destrovec.
As witnessed by the Vir type systems, stellar companions with masses as low as $0.1\,M_{\rm \odot}$ are able to eject a common envelope and form an sdB star without being destroyed.
The case of J082054-0008 demonstrates that even lower mass objects. i.e. substellar objects. are sullicient.
The case of J08205+0008 demonstrates that even lower mass objects, i.e. substellar objects, are sufficient.
This finding can be used to constrain theoretical models
This finding can be used to constrain theoretical models
region where all the four transitions are spatially co-incicent.
region where all the four transitions are spatially co-incident.
In any case. thermal emission or absorption from OLL will generally not be detected with VLBI.
In any case, thermal emission or absorption from OH will generally not be detected with VLBI.
‘Table 2 lists the two candidate regions that are situated very close to cach other and hence simultaneously observable with the 107 ΟΛΗ beam.
Table \ref{sourcetable} lists the two candidate regions that are situated very close to each other and hence simultaneously observable with the $10\degr$ GMRT beam.
For the observations. we used four antennas of the GARE on which the low frequency feeds designed and developed by the Raman Research Institute. Bangalore. India(UclavaShankaretal.2009) have been installed.
For the observations, we used four antennas of the GMRT on which the low frequency feeds designed and developed by the Raman Research Institute, Bangalore, \citep{amiri} have been installed.
These feeds have frequency coverage from 30 MlIIz to 90 MlIz.
These feeds have frequency coverage from 30 MHz to 90 MHz.
Phe GMICE receiver chain was used till the baseband. unit to filter the required section of the band from 50 MlIz to 58 MllIZ centered at 54 Mllz.
The GMRT receiver chain was used till the baseband unit to filter the required section of the band from 50 MHz to 58 MHz centered at 54 MHz.
Only one sideband of the receiver was used - consequentIv the selected: band. was placed in the upper sideband(U with 54 MlITz falling at the centre of the sideband.
Only one sideband of the receiver was used - consequently the selected band was placed in the upper sideband(USB) with 54 MHz falling at the centre of the sideband.
The reasonS13) for doing so will be explained below.
The reason for doing so will be explained below.
We used the CMBRE Software SD)(Itoval.2009) [or recording the raw voltage data.
We used the GMRT Software \citep{gsb} for recording the raw voltage data.
The GSB is a cluster of high-performance PCs connected. by ethernet ancl communicating through the ALPE protocol.
The GSB is a cluster of high-performance PCs connected by ethernet and communicating through the MPI protocol.
Lt operates in several modes such as raw voltage recorder. realtime interferometric correlator. pulsar receiver. ollline interferometer and beamformer. with facility to do inbuilt xuidpass filtering in the first three modes.
It operates in several modes such as raw voltage recorder, realtime interferometric correlator, pulsar receiver, offline interferometer and beamformer, with facility to do inbuilt bandpass filtering in the first three modes.
We exploited the jigh bandwidth sampler to record 8.333. MlIE2 of the band at the Nvquist rate.
We exploited the high bandwidth sampler to record 8.333 MHz of the band at the Nyquist rate.
At the time the observation was carried out. the GSB was operational for. dual-sideband: and. one »xolarization.
At the time the observation was carried out, the GSB was operational for dual-sideband and one polarization.
However. by re-wiring the inputs to the GSB. we obtained both polarizations but one sideband.
However, by re-wiring the inputs to the GSB, we obtained both polarizations but one sideband.
This was he reason for putting the band of interest - 50 MllIz to 58 Mllz - in the upper sideband of the baseband. receiver.
This was the reason for putting the band of interest - 50 MHz to 58 MHz - in the upper sideband of the baseband receiver.
To reduce data volume. a decimating subroutine was added o the recording program to desample the voltage data to νοδι rate.
To reduce data volume, a decimating subroutine was added to the recording program to desample the voltage data to Nyquist rate.
Lt is to be noted that though the baseband ilter spans 50-58 MlIz. the GSB samples 50-58.333. MIIZ rvecause the sampling frequency of the GSB is 33.33 MIL.
It is to be noted that though the baseband filter spans 50-58 MHz, the GSB samples 50-58.333 MHz because the sampling frequency of the GSB is 33.33 MHz.
The observations were carried out on 12 March. 2009. recording the data for about five hours.
The observations were carried out on 12 March 2009, recording the data for about five hours.
Before. recording he data on the target. a lew minutes of test. data was acquired: with default. gains and its RAIS was calculated.
Before recording the data on the target, a few minutes of test data was acquired with default gains and its RMS was calculated.
The gains of the samplers were then adjusted so that the ‘all range of the S-bit sampler accommodated 6o. where e is the RATS.
The gains of the samplers were then adjusted so that the full range of the 8-bit sampler accommodated $6\sigma$, where $\sigma$ is the RMS.
A few such iterations were performed until the eains converged.
A few such iterations were performed until the gains converged.
The final gain table was Loaded into the samplers ancl data recording was commenced.
The final gain table was loaded into the samplers and data recording was commenced.
Though the sampler clocks with a period of 33 ns. i.e. 33 Msps. every other sample was discarded to achieve Nyquist rate and keep the data volume within limits.
Though the sampler clocks with a period of 33 ns, i.e. 33 Msps, every other sample was discarded to achieve Nyquist rate and keep the data volume within limits.
At the end of five hours of observation. we had about 270 GB of data per antenna per polarization. there being a total of four antennas with two polarizations cach.
At the end of five hours of observation, we had about 270 GB of data per antenna per polarization, there being a total of four antennas with two polarizations each.
Data were recorded as a contiguous time-series with a sampling period of 66 ns(post-clecimation)
Data were recorded as a contiguous time-series with a sampling period of 66 ns(post-decimation).
Each polarisation from cach of the four antennas was recorded separately on individual disks.
Each polarisation from each of the four antennas was recorded separately on individual disks.
The format of the recorded data necessitated writing of special software to process them.
The format of the recorded data necessitated writing of special software to process them.
The aim was to detect. if any. very narrow spectral lines.
The aim was to detect, if any, very narrow spectral lines.
Since the observing frequency. is centered around. 54 Mllz. high velocity. resolution is possible onky with very high spectral resolution.
Since the observing frequency is centered around 54 MHz, high velocity resolution is possible only with very high spectral resolution.
Llowever. since we were looking for spectral features within a limited range of LSIt velocities. data were bandpass filtered around the region ofinterest and desaimpled.
However, since we were looking for spectral features within a limited range of LSR velocities, data were bandpass filtered around the region of interest and desampled.
We used the Intel LPP routines in our program to construct bandpass filters of specified: pass and stop bands.
We used the Intel IPP routines in our program to construct bandpass filters of specified pass and stop bands.
The filter was designed such that an integer number of non-overlapping filters. M. of a specified. bandwidth completely filled the observed. bandwidth of 8.333 MIIz.
The filter was designed such that an integer number of non-overlapping filters, M, of a specified bandwidth completely filled the observed bandwidth of 8.333 MHz.
The filtered data is then decimated by the same factor M. “Phis operation is called bandpass sampling.
The filtered data is then decimated by the same factor M. This operation is called bandpass sampling.
We chose AL=90 for the 55 Alllz OL line ancl 2048 channelswithin the passband to allow a velocity resolution of 0.25 fins1 ver channel.
We chose M=90 for the 55 MHz OH line and 2048 channelswithin the passband to allow a velocity resolution of 0.25 $km~s^{-1}$ per channel.
For the 53 Alllz ΟΙ line. Al=so0 with 2048 channels. the velocity resolution obtained was 028 Ais| per channel.
For the 53 MHz OH line, M=80 with 2048 channels, the velocity resolution obtained was 0.28 $km~s^{-1}$ per channel.
Al was chosen differently to accommodate the expected line requencies in both cases within the central of the band.
M was chosen differently to accommodate the expected line frequencies in both cases within the central of the band.
After filtering and desampling. approximately every )25 second of cata was Fourier transformed. with the Intel IPP EFT routine and then squared.
After filtering and desampling, approximately every 0.25 second of data was Fourier transformed with the Intel IPP FFT routine and then squared.
The power spectrum or cach block of the time series and. hence the cumulative power spectrum. for cach polarization was obtained.
The power spectrum for each block of the time series and hence the cumulative power spectrum for each polarization was obtained.
The calculated. Doppler shift. of the expected line. during. the observation was less than the width of one channel.
The calculated Doppler shift of the expected line during the observation was less than the width of one channel.
The power spectra were visually inspected for REL.
The power spectra were visually inspected for RFI.
Phe 55 MlIz yasshbancl was found to be relatively clean ane unallected w REL exeept by a very weak. spectrally narrow. feature at around 30 fins+ LSR velocity that manifests only in the cumulative power spectrum.
The 55 MHz passband was found to be relatively clean and unaffected by RFI except by a very weak, spectrally narrow, feature at around 30 $km~s^{-1}$ LSR velocity that manifests only in the cumulative power spectrum.
Since this was away from the region of interest. ic. 40-70 Aims we chose to ignore it.
Since this was away from the region of interest, i.e. 40-70 $km~s^{-1}$, we chose to ignore it.
The cumulative spectra from all the polarizations save one. which had a bad bancdpass. were added.
The cumulative spectra from all the polarizations save one, which had a bad bandpass, were added.
Thus. ellectively the four antennas were used like four single-clish spectrometers in the incoherent mode.
Thus, effectively the four antennas were used like four single-dish spectrometers in the incoherent mode.
The 53. MlIz: passband. on the contrary. was found to be severely allected by REL to such an extent that it had to be abandoned altogether.
The 53 MHz passband, on the contrary, was found to be severely affected by RFI to such an extent that it had to be abandoned altogether.
Figure 3. shows the final cumulative averaged. spectrum obtained from seven out of the eight available polarizations of the four antennas.
Figure \ref{psfit} shows the final cumulative averaged spectrum obtained from seven out of the eight available polarizations of the four antennas.
The velocity resolution is 0.25Ams channel
The velocity resolution is $0.25\ km~s^{-1}$ per channel.
The ordinate is the baseline-subtracted. line-o-continuum flux ratio. after fitting for the baseline with a second order polynomial for the passband shown in the plot.
The ordinate is the baseline-subtracted line-to-continuum flux ratio, after fitting for the baseline with a second order polynomial for the passband shown in the plot.
At around the expected LSR velocity of 46 Fms.|. where he 1720 Mllz line is seen inverted towards W44 in as many as 25 hotspots(Claussenetal.1997).. there is a weak 4c spectral emission feature. whose peak is 0.006 in units of ine-to-continum temperature ratio. CEr-T,)/T..
At around the expected LSR velocity of 46 $km~s^{-1}$, where the 1720 MHz line is seen inverted towards W44 in as many as 25 \citep{claussen}, there is a weak $\sim$ $\sigma$ spectral emission feature, whose peak is 0.006 in units of line-to-continuum temperature ratio, $_l$ $_c$$_c$.
Phe RAIS optical depth is 0.0014 units over a 0.25 fins* channel.
The RMS optical depth is 0.0014 units over a 0.25 $km~s^{-1}$ channel.
We conclude the 55 MIIz ΟΙ line is not detected to the ta imit.
We conclude the 55 MHz OH line is not detected to the $\sigma$ limit.
However. this feature becomes more. prominent(see ligure 4)) when the spectrum is smoothed to 1&m5" commensurate with the velocity widths of the hotspots listed w Claussenetal. (1997).
However, this feature becomes more prominent(see Figure \ref{psfit_smoothed}) ) when the spectrum is smoothed to $1\ km~s^{-1}$ , commensurate with the velocity widths of the hotspots listed by \citet{claussen}. .
. We assume that. the svstem emperature is dominated by the sky temperature at these
We assume that the system temperature is dominated by the sky temperature at these
(category 4) are shown as filled circles.
(category 4) are shown as filled circles.
In order to determine (the phase of the X-ray main pulse we have excluded all data points that were deemed flawecl (i... in (he first three categories above).
In order to determine the phase of the X-ray main pulse we have excluded all data points that were deemed flawed (i.e., in the first three categories above).
Least-squares [its (weighted averages) to the results from the three dillerent peak-finding algorithms that we used lead us to conclude that the X-ray main pulse leads (he radio main pulse (as defined by the radio timing ephemerides) by 10.2540.15 milliperiod. or 34445 is. with a reduced 4? of 1.3.
Least-squares fits (weighted averages) to the results from the three different peak-finding algorithms that we used lead us to conclude that the X-ray main pulse leads the radio main pulse (as defined by the radio timing ephemerides) by $\pm$ 0.15 milliperiod, or $\pm$ 5 $\mu$ s, with a reduced $\chi^{2}$ of 1.3.
The quoted errors represent the differences between the results from the three methods.
The quoted errors represent the differences between the results from the three methods.
The statistical errors in (he three individual fits are smaller.
The statistical errors in the three individual fits are smaller.
In addition. of course. there is still the uncertainty of the 40 yas svstematic error in (he radio ephemerides.
In addition, of course, there is still the uncertainty of the 40 $\mu$ s systematic error in the radio ephemerides.
We emphasize that. although we believe these error estimates (o be realistic. a dillerent definition of the pulse phase may lead (ο larger discrepancies.
We emphasize that, although we believe these error estimates to be realistic, a different definition of the pulse phase may lead to larger discrepancies.
Ideally. one should analvze the data that are available in the different spectral bands with a uniform pulse definition.
Ideally, one should analyze the data that are available in the different spectral bands with a uniform pulse definition.
The result obtained by Kuiperetal.(2003) of. 2804-40. pis for a single INTEGRAL observation is probably to be considered consistent will our [indines. especially since it used a liming ephemeris record αἱ MJD 52685 (hat gives rise to slightly elevated phase values in our data.
The result obtained by \citet{kuip2003} of $\pm$ 40 $\mu$ s for a single INTEGRAL observation is probably to be considered consistent with our findings, especially since it used a timing ephemeris record at MJD 52685 that gives rise to slightly elevated phase values in our data.
However. the phases that thev quote for the main pulse on MJD 52682 ancl MJD 52697. derived [rom the same RATE observations that we have used. differ from our values bv 41.7 and 41.1 mülliperiods. respectively.
However, the phases that they quote for the main pulse on MJD 52683 and MJD 52697, derived from the same RXTE observations that we have used, differ from our values by +1.7 and +1.1 milliperiods, respectively.
We believe that. this difference is due to the definition of the phase that is used by these authors.
We believe that this difference is due to the definition of the phase that is used by these authors.
Ixuiperetal.(2003). define the phase of the main peak as (he position of an asvimnietric Lorentzian fit to the phase range 0.95 {ο 1.05.
\citet{kuip2003} define the phase of the main peak as the position of an asymmetric Lorentzian fit to the phase range 0.95 to 1.05.
This definition. in our opinion. is not as free of model-cepencent assumptions as our analvsis methodology: it appears that there is à svstematic offset of about 40-50 pts. Note (hat. since these authors used the same Jodrell Bank timing ephemeris records. the radio svslenmatic error does not play a role here.
This definition, in our opinion, is not as free of model-dependent assumptions as our analysis methodology; it appears that there is a systematic offset of about 40-50 $\mu$ s. Note that, since these authors used the same Jodrell Bank timing ephemeris records, the radio systematic error does not play a role here.
As to the question whether the lag between the X-ray ancl radio pulses is constant in phase (i.e. the lag is rotational in nature) or in time (ie. the lag represents a pathlength difference). the data are not conclusive.
As to the question whether the lag between the X-ray and radio pulses is constant in phase (i.e., the lag is rotational in nature) or in time (i.e., the lag represents a pathlength difference), the data are not conclusive.
The former would require the phase offset in Fie.
The former would require the phase offset in Fig.
to be constant with time. while (he latter would require the phase to increase nearly with a slope of +1.0x10* period/day.
\ref{fig2} to be constant with time, while the latter would require the phase to increase linearly with a slope of $+1.0\times10^{-8}$ period/day.
A linear fit to the good data in Fig.
A linear fit to the good data in Fig.
2. vields a slope of (43.3+2.0)x10".
\ref{fig2} yields a slope of $(+3.3\pm2.0)\times10^{-7}$.
This result is probably affected. by Malmenist bias and. possibly other sources of svstematic errors.
This result is probably affected by Malmquist bias and possibly other sources of systematic errors.
Unless our measurement accuracy can be dramatically improved. it will require at least another seven vears of monitoring before we can answer this «question defimitivelv in this manner.
Unless our measurement accuracy can be dramatically improved, it will require at least another seven years of monitoring before we can answer this question definitively in this manner.
If indeed we are dealing with a time olfset. this would correspond to a pathlength difference of about 100 km.
If indeed we are dealing with a time offset, this would correspond to a pathlength difference of about 100 km.
Additional analvsis of the RATE data reveals that the PCA and HIENXTE pulses are perfectly aligned (o within 1 milliperiod (1... no phase change over the 2 (to 30 keV energy
Additional analysis of the RXTE data reveals that the PCA and HEXTE pulses are perfectly aligned to within 1 milliperiod (i.e., no phase change over the 2 to 30 keV energy
Braudenbure ct al. (1990))
Brandenburg et al. \cite{brandenburg90}) )
extended ai 3D lydvodvuaimical code to the case of maguetoconvection. including the effect of rotation.
extended a 3D hydrodynamical code to the case of magnetoconvection, including the effect of rotation.
Subsequently. ai spontancous dynamo instability was observed in the siauulatious (Nordlund et al. 1992..
Subsequently, a spontaneous dynamo instability was observed in the simulations (Nordlund et al. \cite{nordlund92},
Drandenburg et al. 1996)).
Brandenburg et al. \cite{brandenburg96}) ).
Recent simmlations of isotropically forced helical turbulence (Brandenburg 2001)) have verified the existence of large scale dynamo action. and it was possible to identify this as the result of an à effect Gu the sense of anon-local inverse cascade).
Recent simulations of isotropically forced helical turbulence (Brandenburg \cite{brandenburg00}) ) have verified the existence of large scale dynamo action, and it was possible to identify this as the result of an $\alpha$ effect (in the sense of a inverse cascade).