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'])本数据集发布包含论文《利用自旋分类法拆解自旋与非自旋双黑洞群体》（https://arxiv.org/abs/2507.23663）的分析输入与结果。 hyper.tar.gz：该压缩包包含论文中展示的全部层级推断结果，均为JSON格式的bilby（bilby）结果文件，可通过JSON库或bilby软件读取。 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：包含全部11个采用非奇异Beta模型的混合比例群体数据 mixed_pop*_beta_singular_result.json：包含全部11个采用奇异Beta模型的混合比例群体数据 >>> 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：该压缩包包含非自旋群体的全部单事件bilby结果文件，格式为JSON，可使用上述层级推断运行的相同命令读取。 single_spin_pe.tar.gz：该压缩包包含单自旋群体的全部单事件bilby结果文件。 both_spin_pe.tar.gz：该压缩包包含混合比例分析中使用的全部全自旋群体的单事件bilby结果文件。此类文件采用HDF5格式而非JSON，但仍可通过bilby以完全相同的方式读取，或使用h5py（h5py）库读取。 >>> 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'])