Data products for Unresolved lensed SNe Ia in LSST (arxiv: 2404.15389)

<p>This data release is a part of arxiv 2404.15389. If needed, the ipython notebooks to analyse these datasets are availble at&nbsp;<br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST</a></p> <p>There are two zip files stemming from two directories.</p> <p><strong>1. unresolved_catalog: </strong>contains the catalogs of lensed type-Ia supernovae (LSNe Ia) -- all and unresolved ones, separately.<strong> </strong>The notebook at the following path can provides statistics of the unresolved systems (please place the notebook in the same directory).<br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/unresolved_stat">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/unresolved_stat</a></p> <p>There are two subdirectories:&nbsp;<br><strong>(i) catalog data:</strong> &nbsp;contains two catalogs - one listing all LSNe Ia expected over 10 effective years of LSST observations, and another specifically detailing the unresolved systems. See the "unresolved_catalog/catalog data/read_me.txt" for more details. There is also a subdirectory called "down_sampled_data" which contains details of the downsampled unresolved LSNe Ia systems. It is needed for running the ipython notebook.<br><strong>(ii) save_micro_mag_res:</strong> needed for running the ipython notebook.</p> <p><strong>2. build_blended_lc:</strong> contains necessary data files to create blended light curves for the unresolved systems. The subdirectory, "ML_downsampled_data" contains microlensed light curves for the downsampled unresolved LSNeIa. The file "Good_cadence_systems_fiveSigmaDepth_riyz.pkl" contains multi-band cadence distributions from the LSST baseline3.2 observing strategy.<br>The required codes are availble at:<br><a href="https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/build_blended_lc">https://github.com/deltasata/Unresolved_LSNeIa_in_LSST/tree/main/build_blended_lc</a><br>please put all the codes from the above in the same directory (build_blended_lc).</p> <p>&nbsp;</p> <h3>References:</h3> <ol> <li><a href="https://ui.adsabs.harvard.edu/abs/2024arXiv240415389B/abstract">Bag, S. et al 2024, arxiv:2404.15389</a></li> <li><a href="https://ui.adsabs.harvard.edu/abs/2010MNRAS.405.2579O/abstract">Oguri, M. &amp; Marshall, P. J. 2010, MNRAS, 405, 2579</a></li> <li><a href="https://ui.adsabs.harvard.edu/abs/2018MNRAS.480.3842O/abstract">Oguri, M. 2018, MNRAS, 480, 3842</a></li> </ol>