Treffer: Observing scenarios simulations for HLVK-Configuration for O4 Runs, using 20 million injections. This simulation led to 17,009 BNS useful for training Parameter Estimations of EM counterparts of GW. (July 2024 edition).

We have conducted a simulation of the HLVK-configuration deployed during the ongoing O4 run. This project supports the training of kilonova regression with machine learning processes, requiring thousands of BNS to pass the threshold cutoff. Here we have 17,009 BNS passing the SNR threshold, along with 3,148 NSBH and 121,718 BBH, from 20 million CBCs injected. The upper-lower limit between NS and BH is 3 sun masses. Due to the large file sizes, we have split them into three parts and uploaded them to Zenodo with the following DOIs: The first files is located : runs_part_aa and runs_part_ab : https://zenodo.org/doi/10.5281/zenodo.12693652 The second files is located : runs_part_ac and runs_part_ad : https://zenodo.org/doi/10.5281/zenodo.12694779 The third files is located : runs_part_ae and runs_part_af : https://zenodo.org/doi/10.5281/zenodo.12696695 Download them or use this Python script from GitHub to download all of them by running the script: hchunk-files-downloader. After downloading them (6 files ), you will need to combine them in a single file using the following process: 1.Combine the parts:cat runs_part_* > runs.zip 2.Verify the combined file:ls -lh runs.zipfile runs.zip 3.Unzip the combined file:unzip runs.zip In the runs folder, we have three subfolders: O4: This contains the .fits files for skymap localization and all GW parameters of the CBCs that passed the threshold cutoff of 8. statistics_results: This contains the summary results of the statistical predictions of GW detections. subpopulations: This folder is the split of BNS, NSBH, and BBH events. It is useful for those who need quick parameters of BNS and NSBH for their lightcurve simulations or EM counterpart statistical estimation. For more information, visit: Observing Scenarios Simulations Contact: weizmann.kiendrebeogo@oca.eu or kiend.weizman7@gmail.com