Published September 9, 2026 | Version v2

Data release: Measuring orbital eccentricity with SEOBNRv6EHM

  • 1. ROR icon University of Nottingham
  • 2. ROR icon Max Planck Institute for Gravitational Physics
  • 3. ROR icon University of Maryland, College Park

Description

Posterior samples from the parameter-estimation analyses presented in:

L. Pompili, A. Gamboa, and A. Buonanno, Eccentric and unbound compact binaries in the LIGO--Virgo--KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM (2026): arXiv:2605.28716

Contents

The data release contains 27 HDF5 result files, one per gravitational-wave event analyzed with the SEOBNRv6EHM waveform model. The files contain the results of eccentric aligned-spin parameter-estimation analyses for events spanning the O1–O4 LIGO–Virgo–KAGRA observing runs, including binary black hole, neutron-star–black-hole, and binary neutron star mergers.

Each file is a Bilby result object stored in HDF5 format. It can be loaded with:

import bilby
result = bilby.read_in_result("samples/GW150914_v6EHM_result.hdf5")
posterior = result.posterior

The notebook load_results.ipynb shows how to load and plot the samples.

Citation

If you use these data, please cite the accompanying paper arXiv:2605.28716:

@article{Pompili:2026yxq,
    author = "Pompili, Lorenzo and Gamboa, Aldo and Buonanno, Alessandra",
    title = "{Eccentric and unbound compact binaries in the LIGO-Virgo-KAGRA catalog: parameter estimation and waveform systematics with SEOBNRv6EHM}",
    eprint = "2605.28716",
    archivePrefix = "arXiv",
    primaryClass = "gr-qc",
    month = "5",
    year = "2026"
}

as well as the SEOBNRv6EHM model paper arXiv:2605.28715:

@article{Gamboa:2026jht,
    author = "Gamboa, Aldo and others",
    title = "{Accurate waveforms for generic planar-orbit binary black holes: The multipolar effective-one-body model SEOBNRv6EHM}",
    eprint = "2605.28715",
    archivePrefix = "arXiv",
    primaryClass = "gr-qc",
    month = "5",
    year = "2026"
}

Files

load_results.ipynb

Files (465.3 MB)

Name Size
md5:e9246bba9c87569e87189779475b8bc9
12.6 MB Download
md5:e53f234c98f798316a37f19db9828f15
15.6 MB Download
md5:6cca7bac2b04ae8fa47cf9e5e82116b0
21.0 MB Download
md5:8105eff0d438723756a4436c171858d2
17.2 MB Download
md5:772a8b153c5254aba67f39539d2ab77a
18.3 MB Download
md5:0b1f94bc47d0b04b413c9ef1972a177c
14.8 MB Download
md5:a2ecb3ebb311df5323bcfbe28513151f
18.2 MB Download
md5:d763840974c536d424808532ed178b0e
17.9 MB Download
md5:be8312baf675b03877befe5cff77a780
15.0 MB Download
md5:4f0b6f96414af37fa5a3f71a4b8799aa
23.0 MB Download
md5:86011f7decfc97cd5488928119cd81e4
17.2 MB Download
md5:b9d78e5b60543d7c8ab8e97cfebef4c5
20.2 MB Download
md5:41ef80636776f2be37dc045354199f5b
23.7 MB Download
md5:389437d638e4ff9fb4f7d1118c60570e
15.5 MB Download
md5:8e233cb6952216d3f8d9752cd0ffa849
14.7 MB Download
md5:b048aa1130baa6eea64cb0b5e2242d73
19.7 MB Download
md5:a84fe6251a1246ec46d8a662ef8ed32c
15.6 MB Download
md5:c48958f2079a7e5cd644af8d6939d1f6
14.5 MB Download
md5:86dba1be40c4dfa82a717c90138af927
23.9 MB Download
md5:651696ddb33eb34ffd1523ac416893b1
15.5 MB Download
md5:cf57b384092b203b9322c115f0c34128
19.2 MB Download
md5:afc16fe7af77ec064f1f468f20c8add5
16.2 MB Download
md5:210214677985cf531a8b21abaf8d81d6
18.0 MB Download
md5:37138b156de8a24b25376a4d8deee66c
8.7 MB Download
md5:b72a5400f2cbea7a1221e5c84fea0c64
14.0 MB Download
md5:64350e3ad3c56fa926ca5ebd500148db
19.5 MB Download
md5:fae6754eb7a4d541809a06f2dee095e7
14.9 MB Download
md5:d25a3f0e367b0a49a94b89a9c6ab3f48
699.5 kB Preview Download
md5:a1f408f5eee3af294d79ac00230a94ef
1.3 kB Download