Data Release for Disentangling spinning and nonspinning binary black hole populations with spin sorting

This data release contains the analysis inputs and results for "Disentangling spinning and nonspinning binary black hole populations with spin sorting" (https://arxiv.org/abs/2507.23663). hyper.tar.gz: This tar file contains all the hierarchical inference results presented in the paper. These are bilby result files in json format that can either be read in using json or using bilby. beta_singular_single_spin_result.json beta_singular_no_spin_result.json beta_nonsingular_single_spin_result.json beta_nonsingular_no_spin_result.json truncnorm_single_spin_result.json truncnorm_no_spin_result.json mixed_pop*_beta_result.json: All 11 mixed fraction populations with the nonsingular Beta model mixed_pop*_beta_singular_result.json: All 11 mixed fraction populations with the singular Beta model >>> import bilby >>> import json >>> result = bilby.core.result.read_in_result('truncnorm_no_spin_result.json') >>> result2 = json.load(open('truncnorm_no_spin_result.json','r')) no_spin_pe.tar.gz: This tar file contains all the individual-event bilby result files in json format for the nonspinning population. They can be read in using the same commands given above for the hierarchical inference runs. single_spin_pe.tar.gz: This tar file contains all the individual-event bilby result files for the singly-spinning population. both_spin_pe.tar.gz: This tar file contains all the individual-event bilby result files for the fully spinning population used in the mixed fraction analysis. These files are in hdf5 format rather than json, but can be read in using bilby in the exact same way, or using h5py. >>> import bilby >>> import h5py >>> result = bilby.core.result.read_in_result('both_spin_beta_75_result.hdf5')>>> with h5py.File('both_spin_beta_75_result.hdf5', 'r') as f: ... spin_1_post = np.array(f['posterior']['a_1'])