GRAVITY-UIB
Published June 2, 2025 | Version v1
Dataset Open

Data release for paper "First eccentric inspiral-merger-ringdown analysis of neutron star-black hole mergers"

Authors/Creators

  • 1. ROR icon Universitat de les Illes Balears
  • 2. ROR icon Institute of Space Sciences

Description

This data release for the paper "First eccentric inspiral-merger-ringdown analysis of neutron star-black hole mergers" contains posterior samples for the 3 binary neutron star-black hole merger events analysed, obtained from public GWOSC data with the bilby Bayesian inference package (via parallel_bilby), dynesty nested sampler and a set of waveform models (IMRPhenomTHM, IMRPhenomTEHM).

The provided compressed file contains 11 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_sampler_priorormodel_date_nondefaultdetails_merged_result.hdf5

For all cases, fref is set to 20Hz, the coordinates are EOB, and the samplers used are the default by parallel_bilby, except for one case which uses random walk (rwalk). 
Most of the runs are obtained using IMRPhenomTEHM, allowing for two different priors used for the eccentricity parameter: either "Uni" for uniform, or "LogUni" for log-uniform priors. Additionally, each event includes at least one quasi-circular run using the IMRPhenomTHM (THM) model.

Default settings correspond to an initial frequency for the likelihood integration of 20Hz; a duration of 32 seconds for GW200105, 64s for GW200115, and 128s for GW230529; and a starting frequency for the waveform of 17Hz. In the case of GW200105, extra runs were performed varying all these quantities, indicated in the name on the "nondefaultdetails" placeholder.

Concretely:

  • 64s indicates a duration of 64s of data.
  • 33band indicates that all (l,m)<= (3,3) are in band at 20Hz, so the waveform starts at 13.2Hz.
  • 25HzL1 indicates that the likelihood integration starts at 25Hz for LIGO Livingston.

Notes (English)

The authors sincerely thank Cecilio García-Quirós, Héctor Estellés, and Maria Haney for valuable discussions; and Alicia Sintes for her insights on frequency-domain resolution for long signals.
We also thank Geraint Pratten for his very helpful review of the manuscript as part of the LSC Publication & Presentation Committee.
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, AECT-2025-1-0034).
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, EST24/00621).
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.
Jorge Valencia is supported by the Spanish Ministry of Universities via an FPU doctoral grant (FPU22/02211).
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”.

Files

NSBH_release_comp.zip

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