Constraining the Origins of Binary Black Holes using Multiple Formation Pathways

Dataset for Zevin et al. 2021. The codebase AMAZE used in this work can be found on Github. 

"models.tar.gz" contains and hdf5 file with all the astrophysical models, organized in the hierarchical structure used in the code AMAZE (*channel*/*param1*/*param2*/...). 

"gw_events.tar.gz" contains the data for all binary black hole events from GWTC1 and GWTC2, processed to have the parameters used in this project. These use the publically-available samples from the previous links, using the 'Combined' and 'PublicationSamples' posterior samples for GWTC1 and GWTC2, respectively. 

"beta_prior.tar.gz" contains prior samples for the branching fractions in the 2-channel and 5-channel case. 

"trails.tar.gz" contains all the inference output used in the study. Both underlying samples (key='model_selection/samples') and detectable samples (key='model_selection/detectable_samples') are stored as pandas dataframes in each hdf5 file. The trailing number in each hdf5 file is the trial number, each with a different random seed. 

IF USING THE ASTROPHYSICAL MODELS IN `models.tar.gz`, please cite the relevant work: 

CE/SMT models: Bavera et al. 2021

CHE models: du Buisson et al. 2020

GC models: Rodriguez et al. 2019

NSC models: Antonini et al. 2019

In addition, one should cite Zevin et al. 2021 (this work) with any use of this dataset.