Catalogues of LISA-detectable sBHB inspirals and confusion backgrounds following the GWTC-3 fiducial model posterior

Data set

The contents of SNR_min_2_z1_LISA_SNR.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.
• population_detector_frame_SNR.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 population_detector_frame_SNR.h5, see the contents of the Demo.ipynb notebook.

To be able to run the notebooks described below, uncompress the SNR_min_2_z1_LISA_SNR.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 git@github.com: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.