text:   of stellar-origin gravitational-wave sources with space-based detectors",11,"['New software paper from @tomjwagg, myself, and Selma de Mink on arXiv today: <LINK>!\nIf 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 https://t.co/iNAxUGqYEE\nAnd 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. \n👀👀👀 (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:\nWe used @rodluger's showyourwork package (https://t.co/4LNGL6q85T), so you can see *exactly* what code was used to compile the figures in the paper. You can see the paper source code here: https://t.co/zhG48TziuS"", '@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:\n&gt; pip install legwork\n\nCongratulations!! 🥳', '@AstroVivi @exoplaneteer @tomjwagg Thanks Vivi!!']",21,11,1927