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Galactic Populations of LISA DWD Binaries

<p>These COSMIC simulation outputs and assembled galactic populations of<br>&nbsp; &nbsp; Double White Dwarf (DWD) binaries<br>&nbsp; &nbsp; represent the work published by V. Delfavero et al,<br>&nbsp; &nbsp; in https://arxiv.org/abs/2409.15230</p> <p>The COSMIC version used in these simulations is 3.4.10</p> <p>The git repository for the accompanying code which built this dataset<br>&nbsp; &nbsp; will be available at https://gitlab.com/xevra/basil-cosmic<br>&nbsp; &nbsp; upon the publication of our article.</p> <p>Also useful is the fork of ldasoft used in this pipeline:<br>&nbsp; &nbsp; https://github.com/xevra/ldasoft</p> <p>Please cite this work if you use the included data in a publication.</p> <p>-------------------------------------------------------------------------------<br>Summary<br>-------------------------------------------------------------------------------<br>Params_[MODEL].ini<br>&nbsp; &nbsp; This initialization file was used for COSMIC,&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp;for the runs tagged with [MODEL].</p> <p>[MODEL]_[KSTAR1]_[KSTAR2]_[METALLICITY_BIN].tar.gz<br>&nbsp; &nbsp; This tarball contains the outputs from one run of COSMIC,<br>&nbsp; &nbsp; &nbsp; &nbsp; using Params_[MODEL].ini, for a type of binary indicated by<br>&nbsp; &nbsp; &nbsp; &nbsp; [KSTAR1] and [KSTAR2] according to COSMIC syntax,<br>&nbsp; &nbsp; &nbsp; &nbsp; and for the [METALLICITY_BIN]'th metallicity bin.</p> <p>[MODEL]_COSMIC.hdf5<br>&nbsp; &nbsp; This hdf5 database holds the DWD population outputs for all 60<br>&nbsp; &nbsp; &nbsp; &nbsp; COSMIC simulations in a compressed format.<br>&nbsp; &nbsp; It only holds information about binary systems at the end<br>&nbsp; &nbsp; &nbsp; &nbsp; of evolution (conv, according to COSMIC syntax).<br>&nbsp; &nbsp; It does not contain the evolutionary history of individual binaries<br>&nbsp; &nbsp; &nbsp; &nbsp; (the bpp information, according to COSMIC syntax).</p> <p>[MODEL]_m12i-000_LISA.nal.hdf5<br>&nbsp; &nbsp; This hdf5 database holds the LISA "resolved" population of DWD binaries<br>&nbsp; &nbsp; &nbsp; &nbsp; for a single realization of a Milky-Way-like galaxy.<br>&nbsp; &nbsp; It also stores many attributes indicating assumptions and various<br>&nbsp; &nbsp; &nbsp; &nbsp; population statistics.<br>&nbsp; &nbsp; The "nal" extension indicates that this database contains<br>&nbsp; &nbsp; &nbsp; &nbsp; truncated Gaussian likelihood models for the resolved population<br>&nbsp; &nbsp; &nbsp; &nbsp; of LISA DWDs,<br>&nbsp; &nbsp; &nbsp; &nbsp; which can be loaded by the gwalk code (https://gitlab.com/xevra/gwalk).<br>&nbsp; &nbsp; This database can also be explored by any hdf5 library (such as h5py).</p> <p>[MODEL]_m12i-000_LISA.hdf5<br>&nbsp; &nbsp; This hdf5 database holds all of the LISA-band binaries (f_GW &gt; 10^-4 Hz)<br>&nbsp; &nbsp; &nbsp; &nbsp; for a single galaxy realization.</p> <p>[MODEL]_m12i-000_LISA.txt.gz<br>&nbsp; &nbsp; This text file stores the inputs for ldasoft gbfisher analysis,<br>&nbsp; &nbsp; &nbsp; &nbsp; for a specific galaxy realization under assumptions<br>&nbsp; &nbsp; &nbsp; &nbsp; broadly described by [MODEL]<br><br>See README.txt for full description<br><br>-------------------------------------------------------------------------------<br>Funding<br>-------------------------------------------------------------------------------<br>VD is supported by an appointment to the NASA Postdoctoral Program at the NASA Goddard Space Flight Center administered by Oak Ridge Associated Universities under contract NPP-GSFC-NOV21-0031. ROS gratefully acknowledges support from NSF awards NSF PHY-1912632, PHY-2012057, PHY-2309172, AST-2206321, and the Simons Foundation. JB is supported by the NASA LISA Project Office.<br><br>We acknowledge software packages used in this publication, including NUMPY (Harris et al. 2020), SCIPY (Virtanen et al. 2020), MATPLOTLIB (Hunter 2007), ASTROPY (Astropy Collaboration et al. 2013, 2018), H5PY (Collette 2013), LEGWORK (Wagg et al. 2022), and ldasoft Littenberg et al. (2020). This research was done using resources provided by the Open Science Grid (Pordes et al. 2007; Sfiligoi et al. 2009), which is supported by the National Science Foundation awards #2030508 and #1836650, and the U.S. Department of Energy&rsquo;s Office of Science</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8