Dataset from: Rapid stellar and binary population synthesis with COMPAS

<p>This data set is used to produce Figure 16 of the COMPAS Paper (<a href="https://arxiv.org/abs/2109.10352">Team COMPAS et al. 2021</a>).</p> <p>The file contains the output of 10,000,000 binaries evolved using COMPAS&nbsp; v02.21.00, using adaptive importance sampling (STROOPWAFEL) , sampling from a metallicity uniform in <span class="math-tex">\(\log(Z) \in [10^{-4},0.03]\)</span>. More details can be found in the `Run_Details` group.</p> <p>*****************************<br> Contents<br> *****************************</p> <ol> <li>COMPAS simulation output:<br> The hdf5 file Includes necessary information about the simulated binaries in the following groups:<br> <br> <strong>BSE_Double_Compact_Objects<br> BSE_Common_Envelopes<br> BSE_RLOF<br> BSE_Supernovae<br> BSE_System_Parameters<br> Run_</strong><strong>Details</strong><br> <br> We point the reader to the documentation at <a href="https://compas.science/docs">https://compas.science/docs</a>, for information and instructions regarding the contained data.<br> &nbsp;</li> <li><strong>Rate Data</strong><br> The hdf5 file contains 1 groups with BBH merger rate data for every BBH with an inspiral time that is smaller than the age of the Universe. This group contains a dataset &quot;DCOmask&quot; which can be used to point from the &quot;DoubleCompactObjects&quot; to the data contained in the respective rates datasets.<br> <br> We include the rates for one realization of the metallicity-dependent SFRD as discussed in&nbsp; the manuscript.<br> The metallicity-dependent SFRD used is the phenomenological metallicity-dependent SFRD&nbsp; as described in Neijssel et al. 2019, this contained in:<br> <strong>&#39;Rates_mu00.035_muz-0.23_alpha0.0_sigma00.39_sigmaz0.0&#39;</strong></li> </ol> <p>*****************************</p> <p>The rates were calculated by running ```FastCosmicIntegration.py```&nbsp; from COMPAS&#39;s post-processing tools.<br> For a more detailed explanation of the workings of COMPAS&#39;s post-processing tools, please the docs <a href="https://compas.science/docs">https://compas.science/docs</a></p>