2024/10/23 by Buscicchio, R., Torrado, J., Caprini, C. +8 · 2 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysical Phenomena and Observations #FOS: Physical sciences #General Relativity and Quantum Cosmology (gr-qc) #High Energy Astrophysical Phenomena (astro-ph.HE) #Pulsars and Gravitational Waves Research
paper · pdf · doi:10.48550/arxiv.2410.18171
openalex publication_date 2024/10/23 · openalex created_date 2024/11/13 · openalex updated_date 2026/07/30
Data set The contents of SNRmin2z1LISASNR.tar.gz consist of approximately 10k folders, each corresponding to each of the samples of the public GWTC-3 fiducial sBHB population model posterior, and containing the following files: population.yaml: population parameters of this sample. background.txt: frequencies and characteristic strain squared of the sBHB confusion noise in the LISA band for this population. populationdetectorframeSNR.h5: subset of loud sBHB sources, including but not limited to those with LISA SNR larger than 4 (missing in some samples). For a description of the population parameters in population.yaml and the individual source parameters in populationdetectorframeSNR.h5, see the contents of the Demo.ipynb notebook. To be able to run the notebooks described below, uncompress the SNRmin2z1LISASNR.tar.gz file inside a data/ subfolder under that of the notebook. Demo notebook For examples of how to load and process the catalogues, see the Demo.ipynb notebook. This notebook requires the following Python packages: numpy, scipy, pandas, matplotlib, pyyaml, tqdm Some of the plots in the notebook require the extrapops simulation package: git clone [email protected]:JesusTorrado/extrapops.git cd extrapops pip install . References For detailed descriptions of the generation of the data set, see the references mentioned in the Zenodo page. Questions and comments Please use the GitHub issue tracker or contact the corresponding authors of the papers cited under the "described by" header of the Zenodo entry.