Published May 26, 2026 | Version v2

GWTC-5.0: Parameter estimation data release (Part 1 of 2)

Description

This material is part of several data products associated with GWTC-5.0, the fifth Gravitational-Wave Transient Catalog from the LIGO Scientific Collaboration, the Virgo Collaboration, and the KAGRA Collaboration. For more information, see the results paper (https://dcc.ligo.org/LIGO-P2600152/public), the related material linked from this page, and the GWTC-5.0 data release documentation (www.gw-openscience.org/GWTC-5.0/).

Parameter estimation data release

The release of parameter estimation results is split into two parts. The second part of the release can be found at 10.5281/zenodo.20348006.

This data release contains posterior samples (*.hdf5) for gravitational-wave candidates from the second part of the fourth observing run (O4b) as well as a summary file (IGWN-GWTC5p0-29ebe06b7_25-PESummaryTable.hdf5) that includes a table of credible intervals for all released posterior samples. We provide results for all O4b candidates that have a false alarm rate of less than 1 per year. There is one .hdf5 file per event that contains posterior samples for all parameter estimation runs on that event, as well as mixed samples where multiple waveform models have been equally weighted (for analyses where mixed samples are applicable).

In addition to containing the posterior samples, the .hdf5 files also contain metadata about the analyses, including the configuration files (which specify details such as the detector data analysed), noise power spectral densities (potentially for a superset of the detectors used in the analysis), priors, and calibration uncertainty envelopes. See the paper appendices and the provided notebook for further information

The inference of the source parameters was performed with either Bilby or RIFT. The results are formatted using PESummary.

This release is primarily composed of results from the second part of O4 (O4b). A similar release was made for the previous GWTC-4.0 catalog that contained candidates from the first part of O4 (O4a). 

Sky localization data release

The sky localization tar file (IGWN-GWTC5p0-29ebe06b7_25-Archived_Skymaps.tar.gz) contains candidate sky localizations corresponding to different parameter estimation configurations (.fits). There is one .fits file per set of posterior samples.

Python notebook

The Python notebook (GWTC5p0_PE_data_release.ipynb) explains how to read and use the data files included in this release with a selection of examples.

How to download all files from this page

If you would like to download all files on this page, we recommend zenodo_get:

pip install zenodo-get
zenodo_get RECORD_ID_OR_DOI

where the record ID for the most recent version of this page is 20276105 and IDs for other versions can be found in the Versions section at the side of this page.

Additional information

For more general background on gravitational-wave search analysis and sky maps, try the materials from a GW Open Data Workshop or the guide to LIGO–Virgo data analysis.

Notes

This material is based upon work supported by NSF's LIGO Laboratory, which is a major facility fully funded by the National Science Foundation. The authors also gratefully acknowledge the support of the Science and Technology Facilities Council (STFC) of the United Kingdom, the Max-Planck-Society (MPS), and the State of Niedersachsen/Germany for support of the construction of Advanced LIGO and construction and operation of the GEO 600 detector. Additional support for Advanced LIGO was provided by the Australian Research Council.The authors gratefully acknowledge the Italian Istituto Nazionale di Fisica Nucleare (INFN),  the French Centre National de la Recherche Scientifique (CNRS) and the Netherlands Organization for Scientific Research (NWO)for the construction and operation of the Virgo detector and the creation and support of the EGO consortium. The authors also gratefully acknowledge research support from these agencies as well as by the Council of Scientific and Industrial Research of India, the Department of Science and Technology, India, the Science & Engineering Research Board (SERB), India, the Ministry of Human Resource Development, India,the Spanish Agencia Estatal de Investigación (AEI),the Spanish Ministerio de Ciencia, Innovación y Universidades, the European Union NextGenerationEU/PRTR (PRTR-C17.I1), the ICSC - CentroNazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, funded by the European Union NextGenerationEU, the Comunitat Autònoma de les Illes Balears through the Conselleria d'Educació i Universitats, the Conselleria d'Innovació, Universitats, Ciència i Societat Digital de la Generalitat Valenciana and the CERCA Programme Generalitat de Catalunya, Spain, the Polish National Agency for Academic Exchange, the National Science Centre of Poland and the European Union - European Regional Development Fund; the Foundation for Polish Science (FNP), the Polish Ministry of Science and Higher Education, the Swiss National Science Foundation (SNSF), the Russian Science Foundation, the European Commission, the European Social Funds (ESF), the European Regional Development Funds (ERDF), the Royal Society, the Scottish Funding Council, the Scottish Universities Physics Alliance, the Hungarian Scientific Research Fund (OTKA), the French Lyon Institute of Origins (LIO), the Belgian Fonds de la Recherche Scientifique (FRS-FNRS), Actions de Recherche Concertées (ARC) and Fonds Wetenschappelijk Onderzoek - Vlaanderen (FWO), Belgium, the Paris Île-de-France Region, the National Research, Development and Innovation Office of Hungary (NKFIH), the National Research Foundation of Korea, the Natural Sciences and Engineering Research Council of Canada (NSERC), the Canadian Foundation for Innovation (CFI), the Brazilian Ministry of Science, Technology, and Innovations, the International Center for Theoretical Physics South American Institute for Fundamental Research (ICTP-SAIFR), the Research Grants Council of Hong Kong, the National Natural Science Foundation of China (NSFC), the Israel Science Foundation (ISF), the US-Israel Binational Science Fund (BSF), the Leverhulme Trust, the Research Corporation, the National Science and Technology Council (NSTC), Taiwan, the United States Department of Energy, and the Kavli Foundation. The authors gratefully acknowledge the support of the NSF, STFC, INFN and CNRS for provision of computational resources. This work was supported by MEXT, the JSPS Leading-edge Research Infrastructure Program, JSPS Grant-in-Aid for Specially Promoted Research 26000005, JSPS Grant-in-Aid for Scientific Research on Innovative Areas 2402: 24103006, 24103005, and 2905: JP17H06358, JP17H06361 and JP17H06364, JSPS Core-to-Core Program A. Advanced Research Networks, JSPS Grants-in-Aid for Scientific Research (S) 17H06133 and 20H05639, JSPS Grant-in-Aid for Transformative Research Areas (A) 20A203: JP20H05854, the joint research program of the Institute for Cosmic Ray Research, University of Tokyo, the National Research Foundation (NRF), the Computing Infrastructure Project of the Global Science experimental Data hub Center (GSDC) at KISTI, the Korea Astronomy and Space Science Institute (KASI), the Ministry of Science and ICT (MSIT) in Korea, Academia Sinica (AS), the AS Grid Center (ASGC) and the National Science and Technology Council (NSTC) in Taiwan under grants including the Science Vanguard Research Program, the Advanced Technology Center (ATC) of NAOJ, and the Mechanical Engineering Center of KEK.

Technical info

This data release includes minor updates to PE samples throughout the catalog:

  • Minor revisions to SEOBNRv5PHM waveform model results obtained using the RIFT sampler, arising from an improved calibration reweighting procedure. Approximately 85% of SEOBNRv5PHM results are affected; however, the impact of these changes is not statistically significant for the majority of cases.
  • Minor corrections applied to a subset of results to address marginal railing against prior bounds, or inconsistencies in low-frequency and reference-frequency configurations across analyses of the same event. Approximately 10% of events are affected, with no significant change to the posteriors of the affected events.

The previous data release was used in all LVK analyses released on May 26, 2026, except the GWTC-5.0 results paper (https://dcc.ligo.org/LIGO-P2600152/public), which uses this version of the candidate data release.

Additional PE results associated with this release are found in 10.5281/zenodo.20348006.

Files

GWTC5p0_PE_data_release.ipynb

Files (46.4 GB)

Name Size
md5:adc9b6b3da5264c77b1fbd41a1423b7f
2.6 MB Preview Download
md5:6a4b5d6fc3f62d350be9b73dae1796c8
268.7 MB Download
md5:132c7716bff1cbe52de1f6618981aa33
1.3 GB Download
md5:8e1ff0d50c3cbcd39a5921be0e863815
235.2 MB Download
md5:7be786533108704196e1ee7026dc2609
106.7 MB Download
md5:48b990dd71967e4a4fee450ad3abfa8c
166.3 MB Download
md5:ec82483a9f5267537b6526890c3a94cc
397.0 MB Download
md5:8942224fb3ec8e4b1030e59436559b5c
256.1 MB Download
md5:0330d1aa57f9bde9dbea622da5b8e0ab
202.7 MB Download
md5:767598f6fef4296589e86cccddba6a54
436.9 MB Download
md5:f002aa1843c86d1986f5c5a907592995
544.4 MB Download
md5:10b71e47f7a48b2126530cdc045b7c5d
452.1 MB Download
md5:bd858d8ad72f1fee9d0880d456c747f6
1.3 GB Download
md5:3fc14fafe9fb2d7a8a4f558cfc4c26bf
459.3 MB Download
md5:61b15abe35ad71a0e2b1d30341401c68
247.7 MB Download
md5:b5d0a3e7ac87fb7c95c44330c6299046
262.9 MB Download
md5:7894c7e661b26964c00c080403065b72
762.2 MB Download
md5:ae34ebd1e9b0b267f4600821346250dd
213.8 MB Download
md5:a0fb115624aeabb9a3cc61153cb437fc
236.0 MB Download
md5:717d298fa11f5e19301e61b154c4f41c
277.4 MB Download
md5:15dce52c7ef4752a666550655d0e69d5
1.3 GB Download
md5:96b2ce11033f0625c92290ab69c4cd87
383.0 MB Download
md5:fc8f9f7212487b9fcdc4eeb3cd9d9704
228.8 MB Download
md5:7344950a0816aaf2071333867f41cf6f
278.6 MB Download
md5:013daa19a3c701ebfed9b99122b11f01
299.0 MB Download
md5:38390e9bfc56b4de298412c5b42a48f6
228.8 MB Download
md5:6a8d3da32b3ba1fc6f393df0c95802ac
157.9 MB Download
md5:f1820fe91ccd615a0ef089b051504605
6.6 GB Download
md5:6bb4af7fa38cf9ade2c6e4c5b2a8464c
284.3 MB Download
md5:2ef71b169a6d2481942816360366c734
148.3 MB Download
md5:13e95de0c98035876d68ee9cb65a87c5
1.8 GB Download
md5:99e84a1b866f60ab0113cdde6cd7c569
270.6 MB Download
md5:a1d76263f4994e9ebfd5d9b23ca97613
206.2 MB Download
md5:b8e62f6d5986650ea57ceea1ec712278
367.1 MB Download
md5:603e1f5c6b6198bdd9e6a18499f5e244
219.4 MB Download
md5:463f60d570dafecbfe458afd414555f0
1.0 GB Download
md5:f846c78f601d2bebfaa8b39a39bcaa4d
252.7 MB Download
md5:b3c2c89e70d7be9975a775a86920d3f8
213.7 MB Download
md5:52a1c7ad158863f0dcacc34713bdd795
570.2 MB Download
md5:ba62bbb2da44a6abfd0219176d513495
186.8 MB Download
md5:727d68345d9c9454325877def74eb218
268.3 MB Download
md5:b160f4d400f852034ef8808e4981237e
372.9 MB Download
md5:8a3f012c8b38602ed59a87eb210dabc9
374.4 MB Download
md5:27988e20b1ce257152e43b67e07bf7c8
218.8 MB Download
md5:385c9c3ffd00ed818cf45f497652212f
277.5 MB Download
md5:52a73ccd2e04356d090d8aee5ab30228
1.2 GB Download
md5:07a6fd39afdc261867c137d66297845e
286.8 MB Download
md5:67fb8e9d52a1c0ba92ce30f9f175f439
186.9 MB Download
md5:e54717cf845774bf74071c9367f2bfce
3.7 GB Download
md5:27ecf83c35f33d892e85b8d9c97da7e7
157.4 MB Download
md5:ccd08e36cbb805dfd79b7841b6de40a1
176.9 MB Download
md5:41c936639c8a379c27691e4e903d3fd3
1.8 GB Download
md5:f4c6cfdfa94ad37d3d2f4e63d0ec57df
349.7 MB Download
md5:4322a166f918c89a4563eb657857327a
534.4 MB Download
md5:6e7d4c067430f277a368ed05350811d8
210.7 MB Download
md5:a50380256a3025eea7eed0b441ca6b3b
437.8 MB Download
md5:a110f42fc7c33fe5125c83706561a299
338.4 MB Download
md5:8fd87df7db991dd31fcac218eef03afe
222.2 MB Download
md5:e77526610aaf28f3a45377fc69942e69
200.1 MB Download
md5:b1a1e09705bec7f1ae7a1a4d5206adf0
360.6 MB Download
md5:8bddc99fe12de90407413bf7fa6be1f7
301.6 MB Download
md5:2eb447584d46d8fbe408232586d88010
250.0 MB Download
md5:f988daf7c29ef6d4cc5dad3910823c80
427.5 MB Download
md5:26f71f947b7a5a27d0eb060b7a56f6f5
253.3 MB Download
md5:1bb20b6a317ca108b000f1e0a00fc4c1
207.1 MB Download
md5:be3aa7269ceef22371fa331d21efdb83
302.5 MB Download
md5:09123fdecf85851ff86258a4ea7db8fa
1.8 GB Download
md5:f432e03faba579a04697ae463391b180
1.3 GB Download
md5:01e62d1344279846553b17dc49677a7b
189.5 MB Download
md5:c9f3095e74e25c709364941056dabfb7
1.3 GB Download
md5:03e21ed6f1978d61ac5e70701125e05d
511.5 MB Download
md5:5d6a7ab116df6a2786e7c48ea9628a3f
209.3 MB Download
md5:2c4f3a139ce828df62e7b3f2c13e3167
119.2 MB Download
md5:324d29eb6e7ca1c1ae4d649b89c7e0e8
440.4 MB Download
md5:0a12290d75258f476a99e5e060f950b4
159.7 MB Download
md5:3c2ea3fa1079e129244f7bd3ead416cd
126.7 MB Download
md5:1e90928b7ce53142bd3e1dc2d1583357
565.8 MB Download
md5:5a731ffe731c42d3cf178127b7611213
146.2 MB Download
md5:accd75b43fc6758f09c4188a48faac40
168.8 MB Download
md5:3d4a44d4276583a6e56c788bb05951b9
265.3 MB Download
md5:2b27d8a5562e149c54e737d1a549eee0
205.0 MB Download
md5:ecacc96dd7cd47399dc3fbc2ba9c17d8
868.1 MB Download
md5:53f49c925e8abe1890307cfca5400a97
578.8 MB Download
md5:6d5305eb9bb25dce869c437cd6800a51
577.1 MB Download
md5:05a4e96a5e1078949427822d163b0a2f
221.9 MB Download
md5:4655c648713f5f7c52256b9dbda7a0ff
194.7 kB Download
md5:708b468eadbdbbc7779c1d4968aa5e45
55.5 kB Preview Download