text: 407,54,1461363725361811459,773137323907223552,katie breivik,"New software paper from @tomjwagg, myself, and Selma de Mink on arXiv today: <LINK>! If you’ve ever tried to calculate the average LISA signal to noise ratio for binary systems, you know there are A LOT of opportunities for missed factors of 2 or 10/3 or 98/5. <LINK> We ran into this and rederived the SNR so many times that we said ENOUGH! Enter LEGWORK. A python package that does the legwork (😎) for calculating lowest order post-Newtonian gravitational wave evolution of binary populations and SNRs for GW detectors like @LISACommunity. @tomjwagg is an absolute visionary when it comes to visualization, demos, and tutorials; so please do check them out here <LINK> And of course, let us know if you run into any trouble! Finally, keep an eye out for a couple of papers in the next few days on the projects that inspired us to put LEGWORK together. 👀👀👀 (spoiler: get hype for some compact binary populations y’all!!) @AstrophysicalAC @tomjwagg So glad you think so! I have definitely found myself SO frustrated chasing derivations that I figured it was worth the package just for that! @LISACommunity We are heavily stellar-origin binary biased so we really only do the lowest-order PN stuff (think sine waves with an amplitude modulation). @LISACommunity BUT! we optimized the code so that you can compute literally TENS-OF-MILLIONS of SNRS in just a couple of mins! So you win some you lose some (a lot of) LISA sources 🙃 OMG I also forgot my absolute FAVORITE part of the paper itself: We used @rodluger's showyourwork package (<LINK>), so you can see *exactly* what code was used to compile the figures in the paper. You can see the paper source code here: <LINK> @duetosymmetry @tomjwagg Hahahaha I’m so glad you caught my Easter egg joke! It does prove the point!! @duetosymmetry @tomjwagg You (and everyone else!) can do: &gt; pip install legwork Congratulations!! 🥳 @AstroVivi @exoplaneteer @tomjwagg Thanks Vivi!!",https://arxiv.org/abs/2111.08717,"We present LEGWORK (LISA Evolution and Gravitational Wave Orbit Kit), an open-source Python package for making predictions about stellar-origin gravitational wave sources and their detectability in LISA or other space-based gravitational wave detectors. LEGWORK can be used to evolve the orbits of sources due to gravitational wave emission, calculate gravitational wave strains (using post-Newtonian approximations), compute signal-to-noise ratios and visualise the results. It can be applied to a variety of potential sources, including binaries consisting of white dwarfs, neutron stars and black holes. Although we focus on double compact objects, in principle LEGWORK can be used for any system with a user-specified orbital evolution, such as those affected by a third object or gas drag. We optimised the package to make it efficient for use in population studies which can contain tens-of-millions of sources. This paper describes the package and presents several potential use cases. We explain in detail the derivations of the expressions behind the package as well as identify and clarify some discrepancies currently present in the literature. We hope that LEGWORK will enable and accelerate future studies triggered by the rapidly growing interest in gravitational wave sources. ","LEGWORK: A python package for computing the evolution and detectability