Data Release: Characterizing Compact Object Binaries in the Lower Mass Gap with Gravitational Waves

This data release contains the parameter estimation results for "Characterizing Compact Object Binaries in the Lower Mass Gap with Gravitational Waves" (https://arxiv.org/abs/2507.01189). bilby_pe_results.tar.gz: This tar file contains the parameter estimation results for each of the simulations referenced in the paper. The results are bilby result files in json format that can be read in using either bilby or json. For example: import bilby from bilby.gw.result import CBCResult import json filepath = '/bilby_pe_results/varied_parameter_samples/maxL/maxL_prod1_zero_noise_data0_1369419318-7212143_analysis_L1_merge_result.json' result1 = bilby.core.result.read_in_result(filepath) result2 = CBCResult.from_json(filepath) result3 = json.load(open(filepath,'r')) The unzipped directory bilby_pe_results is organized such that each subdirectory contains the parameter estimation results of the simulations corresponding to a certain section of the paper. varied_parameter_samples: contains results for the simulations described in Section 3.1: GW230529-like systems. This directory is further divided based on the parameter sample used (maxL, equal_mass, secondary_peak). varied_m1: contains results for the simulations described in Section 3.2: Varying the primary mass. This directory is further divided into the results for spinning and non-spinning systems (with_spin and zero_spin, respectively). The difference between the results with 'lower' in their filename compared to those with 'upper' in their name is the prior on the chirp mass that is used. noise_realizations: contains results for the simulations described in Section 4: Varying the noise realization. This directory is further divided based on the parameter sample used (maxL, equal_mass, secondary_peak). Each of the 10 files within each subdirectory used a different realization of Gaussian noise. varied_snr: contains results for the simulations described in Section 5: Increasing the signal-to-noise ratio. This directory is further divided based on the parameter sample used (maxL, equal_mass). Each file uses a different optimal signal-to-noise ratio for the simulated waveform. The two-detector (L1 and H1) results are also included. waveform_models: contains results for the simulations described in Section 6: Comparing waveform models. This directory is further divided based on the parameter sample used (maxL, equal_mass, secondary_peak) and then the IMRPhenom waveform model used (pv2, xp, and xphm), corresponding to IMRPhenomPv2, IMRPhenomXP, and IMRPhenomXPHM.