A Robust and Efficient F-statistic-based Framework for Consistent Bayesian Inference of Compact Binary Coalescences

Posterior Samples from Gravitational-Wave Parameter Estimation This repository contains posterior samples from Bayesian parameter estimation analyses of five gravitational-wave (GW) events: GW170817, GW190412, and three distinct analyses of GW190814. For each event, we provide four sets of posterior samples corresponding to different combinations of waveform models and treatment of instrumental calibration uncertainty. All posterior samples are stored in JSON format and organized by event and analysis configuration. The directory structure follows: /└── /├── Fs_<...>/ # F-statistic-based inference (no calibration uncertainty)│ └── Fs_<...>p2.json├── FFD<...>/ # Full Frequency-Domain (FFD) inference (no calibration uncertainty)│ └── FFD_<...>result.json├── Fs<...>calibration/ # F-statistic-based inference (with calibration uncertainty)│ └── Fs<...>calibration_p2.json└── FFD<...>calibration/ # Full Frequency-Domain (FFD) inference (with calibration uncertainty)└── FFD<...>_calibration_result.json Each event includes four JSON files: F-statistic result without calibration uncertainty FFD result without calibration uncertainty F-statistic result with calibration uncertainty FFD result with calibration uncertainty Event-Specific Details GW170817 Analyzed using a 4096 Hz sampling rate. Subdirectory: GW170817/Dy_4096Hz/ GW190412 Analyzed with an 8-second segment duration. Subdirectory: GW190412/GW190412_8s/ GW190814 — Three Independent Analyses XPHM-v1_2048Hz: Based on the IMRPhenomXPHM waveform model. Subdirectory: GW190814/XPHM-v1_2048Hz/ XPHM_2048Hz: Based on the IMRPhenomXPHM-SpinTaylor waveform model. Subdirectory: GW190814/XPHM_2048Hz/ NSBH_2048Hz: Treated as a neutron star–black hole (NSBH) system. Includes tidal deformability parameter lambda_2. Subdirectory: GW190814/NSBH_2048Hz/ File Naming Convention Files prefixed with Fs_ use the F-statistic method. Files prefixed with FFD_ use the Full Frequency-Domain (FFD) method. Directories and files containing _calibration include marginalization over instrumental calibration uncertainty. Suffixes like _p2.json or _result.json denote internal pipeline naming and do not affect content interpretation. Usage Notes All posterior samples are provided as flat JSON files containing arrays of sampled parameters. Parameter names follow standard LIGO-Virgo-KAGRA conventions (e.g., chirp_mass, mass_ratio, chi_1,chi_2, luminosity_distance, lambda_1, lambda_2, etc.). For GW170817 and GW190814 (NSBH case), tidal parameters (lambda_1, lambda_2) are included where applicable. Citation If you use this data in your research, please cite the associated publication(s) [arXiv:2509.14849] and acknowledge the LIGO-Virgo-KAGRA Collaboration for the original gravitational-wave data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.16484749
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

A Robust and Efficient F-statistic-based Framework for Consistent Bayesian Inference of Compact Binary Coalescences

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

A Robust and Efficient F-statistic-based Framework for Consistent Bayesian Inference of Compact Binary Coalescences

article en

Abstract

Posterior Samples from Gravitational-Wave Parameter Estimation This repository contains posterior samples from Bayesian parameter estimation analyses of five gravitational-wave (GW) events: GW170817, GW190412, and three distinct analyses of GW190814. For each event, we provide four sets of posterior samples corresponding to different combinations of waveform models and treatment of instrumental calibration uncertainty. All posterior samples are stored in JSON format and organized by event and analysis configuration. The directory structure follows: /└── /├── Fs_<...>/ # F-statistic-based inference (no calibration uncertainty)│ └── Fs_<...>p2.json├── FFD<...>/ # Full Frequency-Domain (FFD) inference (no calibration uncertainty)│ └── FFD_<...>result.json├── Fs<...>calibration/ # F-statistic-based inference (with calibration uncertainty)│ └── Fs<...>calibration_p2.json└── FFD<...>calibration/ # Full Frequency-Domain (FFD) inference (with calibration uncertainty)└── FFD<...>_calibration_result.json Each event includes four JSON files: F-statistic result without calibration uncertainty FFD result without calibration uncertainty F-statistic result with calibration uncertainty FFD result with calibration uncertainty Event-Specific Details GW170817 Analyzed using a 4096 Hz sampling rate. Subdirectory: GW170817/Dy_4096Hz/ GW190412 Analyzed with an 8-second segment duration. Subdirectory: GW190412/GW190412_8s/ GW190814 — Three Independent Analyses XPHM-v1_2048Hz: Based on the IMRPhenomXPHM waveform model. Subdirectory: GW190814/XPHM-v1_2048Hz/ XPHM_2048Hz: Based on the IMRPhenomXPHM-SpinTaylor waveform model. Subdirectory: GW190814/XPHM_2048Hz/ NSBH_2048Hz: Treated as a neutron star–black hole (NSBH) system. Includes tidal deformability parameter lambda_2. Subdirectory: GW190814/NSBH_2048Hz/ File Naming Convention Files prefixed with Fs_ use the F-statistic method. Files prefixed with FFD_ use the Full Frequency-Domain (FFD) method. Directories and files containing _calibration include marginalization over instrumental calibration uncertainty. Suffixes like _p2.json or _result.json denote internal pipeline naming and do not affect content interpretation. Usage Notes All posterior samples are provided as flat JSON files containing arrays of sampled parameters. Parameter names follow standard LIGO-Virgo-KAGRA conventions (e.g., chirp_mass, mass_ratio, chi_1,chi_2, luminosity_distance, lambda_1, lambda_2, etc.). For GW170817 and GW190814 (NSBH case), tidal parameters (lambda_1, lambda_2) are included where applicable. Citation If you use this data in your research, please cite the associated publication(s) [arXiv:2509.14849] and acknowledge the LIGO-Virgo-KAGRA Collaboration for the original gravitational-wave data.

Zenodo (CERN European Organization for Nuclear Research)
Dalian University of Technology (CN)
Openalex Percentile: Top 98%
Geochemistry and Geologic Mapping
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