Published April 22, 2025 | Version v1
Dataset Open

Data release for paper "Eccentric or circular? A reanalysis of binary black hole gravitational wave events for orbital eccentricity signatures"

Creators

  • 1. ROR icon Universitat de les Illes Balears
  • 2. ROR icon University of Zurich
  • 3. ROR icon Max Planck Institute for Gravitational Physics
  • 4. ROR icon Institute of Space Sciences
  • 5. Nikhef

Description

This data release for the paper "Eccentric or circular? A reanalysis of binary black hole gravitational wave events for orbital eccentricity signatures" contains posterior samples for the 17 binary black hole merger events analysed, obtained from public GWOSC data with the bilby Bayesian inference package, dynesty nested sampler and a set of waveform models (IMRPhenomTHM, IMRPhenomTEHM, IMRPhenomTPHM, and NRSur7dq4).

The provided compressed file contains 86 hdf5 bilby posterior files, which can be read easily using bilby standard tools (concretely bilby.read_in_result(file), see bilby docs for details). If you make use of these samples, please cite both this data release and the paper.

File list: name structure

eventNumber_fref_coordinatesused_nlivepoints_priorormodel_date_dataused_IDevent_analysis_detectorsconsidered_merge_result.hdf5

In general, each event includes two IMRPhenomTEHM runs, differing only in the prior used for the eccentricity parameter: either "Uni" for uniform, or "LogUni" for log-uniform priors using EOB (eob) coordinates at a reference frequency of 10Hz (fref10). Additionally, each event includes a quasi-circular run using the IMRPhenomTHM (THM) model.

For a set of four special events (GW190701, GW190929, GW200129, and GW200208-22) extra runs are included. These variations involve:

  • a different number of live points (e.g., nlive2000 instead of nlive1000)
  • the use of precessing models such as IMRPhenomTPHM (TPHM) or NRSur7dq4 (NRSur)
  • changes in detector configuration (detectorsconsidered)
  • changes in the data set (dataused, where "data0" refers to the GWOSC dataset). For GW200129 specifically, glitch mitigation techniques were varied leading to different datasets.

A detailed correspondence between these extra runs and their purposes can be found in Table I of the paper.

Notes (English)

The authors would like to thank Nihar Gupte for the LSC Publication \& Presentation Committee review of this manuscript.
We thankfully acknowledge the computer resources (MN5 Supercomputer), technical expertise and assistance provided by Barcelona Supercomputing Center (BSC)  through funding from the Red Española de Supercomputación (RES) (AECT-2024-3-0027); and the computer resources (Picasso Supercomputer), technical expertise and assistance provided by the SCBI (Supercomputing and Bioinformatics) center of the University of Málaga (AECT-2025-1-0035).
This research has made use of data or software obtained from the Gravitational Wave Open Science Center (gwosc.org), a service of the LIGO Scientific Collaboration, the Virgo Collaboration, and KAGRA.
This material is based upon work supported by NSF's LIGO Laboratory which is a major facility fully funded by the National Science Foundation.
LIGO is funded by the U.S. National Science Foundation. Virgo is funded by the French Centre National de Recherche Scientifique (CNRS), the Italian Istituto Nazionale della Fisica Nucleare (INFN) and the Dutch Nikhef, with contributions by Polish and Hungarian institutes.

Maria de Lluc Planas is supported by the Spanish Ministry of Universities via an FPU doctoral grant (FPU20/05577).
A. Ramos-Buades is supported by the Veni research programme which is (partly) financed by the Dutch Research Council (NWO) under the grant VI.Veni.222.396; acknowledges support from the Spanish Agencia Estatal de Investigación grant PID2022-138626NB-I00 funded by MICIU/AEI/10.13039/501100011033 and the ERDF/EU; is supported by the Spanish Ministerio de Ciencia, Innovación y Universidades (Beatriz Galindo, BG23/00056) and co-financed by UIB.
CG is supported by the Swiss National Science Foundation (SNSF) Ambizione grant PZ00P2\_223711.
This work was supported by the Universitat de les Illes Balears (UIB); the Spanish Agencia Estatal de Investigación grants PID2022-138626NB-I00, PID2019-106416GB-I00, RED2022-134204-E, RED2022-134411-T, funded by MCIN/AEI/10.13039/501100011033; the MCIN with funding from the European Union NextGenerationEU/PRTR (PRTR-C17.I1); Comunitat Autonòma de les Illes Balears through the Direcció General de Recerca, Innovació I Transformació Digital with funds from the Tourist Stay Tax Law (PDR2020/11 - ITS2017-006), the Conselleria d’Economia, Hisenda i Innovació grant numbers SINCO2022/18146 and SINCO2022/6719, co-financed by the European Union and FEDER Operational Program 2021-2027 of the Balearic Islands; the “ERDF A way of making Europe”. 

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