Published July 6, 2026 | Version v2

Data release for: Eccentricity constraints disfavor single-single capture in nuclear star clusters as the origin of all LIGO-Virgo-KAGRA binary black holes

  • 1. Max Planck Institute for Gravitational Physics (Albert Einstein Institute)
  • 2. Department of Physics, University of Maryland
  • 3. Department of Physics & Astronomy, University of British Columbia
  • 4. LIGO Laboratory, California Institute of Technology
  • 5. University of Nottingham
  • 6. Universitat de les Illes Balears
  • 7. ELLIS Institute Tuebingen
  • 8. Max Planck Institute for Intelligent Systems

Description

Data release for the DINGO O4a eccentricity paper. It contains the per-event parameter-estimation products, population selection function, and hierarchical-inference posteriors needed to reproduce every figure, table, and number in the paper, plus the trained DINGO neural networks used for the analyses.

Event data: eccentric, quasicircular, and precessing per-event posterior samples (posteriors_eccentric.h5, posteriors_quasicircular.h5, posteriors_precessing.h5); slimmed log-uniform-eccentricity-prior posteriors used as the hierarchical-likelihood input (posteriors_log_uniform_eccentric.h5); per-event posteriors reweighted by the population-informed posterior (posteriors_population_reweighted.h5); per-event summary statistics with pre-computed Bayes factors (summary_statistics.h5); e_gw conversions (egw_conversions.h5); and the eccentricity-mean-anomaly prior hull (e_zeta_prior_hull.h5).

Selection function: the injection p_draw dataframe with detection probabilities including the analysis-window factor (injection_p_draw.h5), a fixed-injection eccentricity sweep (fixed_injection_ecc_sweep.h5), and matched-filter survival-function data (survival_function.h5).

Hierarchical inference: the selection-corrected velocity-dispersion posterior marginalized over the GWTC-4 mass/spin/redshift hyperposterior (sigma_posterior.h5), the capture-eccentricity lookup table (capture_ecc_table.h5), the external GWTC-4 hyperposterior fit (gwtc4_hyperposterior.h5), and the GC/NSC branching-fraction posterior (branching_fraction_posterior.h5).

Glitch analyses: glitch-marginalized posteriors for GW190701, GW231114_043211, and GW231223_032836.

Networks: trained DINGO networks (SEOBNRv5EHM, SEOBNRv5HM, SEOBNRv5PHM) with their training settings; see MODEL_MANIFEST.md.

Zenodo stores files flat; the companion code maps each file into the foldered layout the notebooks expect. Code to download the data and reproduce all figures: github.com/nihargupte-ph/o4a-eccentricity, archived at doi:10.5281/zenodo.21221948.

Files

MODEL_MANIFEST.md

Files (39.0 GB)

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Additional details