Data details

We here provide the data used in the population analysis of the events in the IAS-HM catalog. Two files are included:

1. Parameter estimation (PE) samples – provided as a .zip archive containing .feather files for each event.

2. Event metadata dictionary – containing the inverse false alarm rate (IFAR) and the reference astrophysical probability ($p_{\rm astro}$) for each event.

The reference $p_{\rm astro}$ values are computed using a fiducial astrophysical model, taken directly from the Zenodo repository released by the LVK collaboration.

This information (together with the injection summaries available on Zenodo) is sufficient to compute the population likelihood, accounting for both marginal and confident events. Our population includes all events with IFAR $> 0.2$ yr.

⚠️ Note

Some of the PE samples (for the new events) were generated using the NAUTILUS sampler. These samples include a "weights" column, which must be used during population likelihood computation.

Acknowledgements

This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA. This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation, as well as the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council. Virgo is funded, through the European Gravitational Observatory (EGO), by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale di Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by institutions from Belgium, Germany, Greece, Hungary, Ireland, Japan, Monaco, Poland, Portugal, Spain. KAGRA is supported by Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan Society for the Promotion of Science (JSPS) in Japan; National Research Foundation (NRF) and Ministry of Science and ICT (MSIT) in Korea; Academia Sinica (AS) and National Science and Technology Council (NSTC) in Taiwan.