TY - JOUR
T1 - Open Data from LIGO, Virgo, and KAGRA through the First Part of the Fourth Observing Run
AU - Abac, A. G.
AU - Abouelfettouh, I.
AU - Acernese, F.
AU - Ackley, K.
AU - Adamcewicz, C.
AU - Adhicary, S.
AU - Adhikari, D.
AU - Adhikari, N.
AU - Adhikari, R. X.
AU - Adkins, V. K.
AU - Afroz, S.
AU - Agapito, A.
AU - Agarwal, D.
AU - Agathos, M.
AU - Aggarwal, N.
AU - Aggarwal, S.
AU - Aguiar, O. D.
AU - Ahrend, I. L.
AU - Aiello, L.
AU - Ain, A.
AU - Ajith, P.
AU - Akutsu, T.
AU - Albanesi, S.
AU - Ali, W.
AU - Al-Kershi, S.
AU - Alléné, C.
AU - Allocca, A.
AU - Al-Shammari, S.
AU - Altin, P. A.
AU - Alvarez-Lopez, S.
AU - Amar, W.
AU - Amarasinghe, O.
AU - Amato, A.
AU - Amicucci, F.
AU - Amra, C.
AU - Ananyeva, A.
AU - Anderson, S. B.
AU - Anderson, W. G.
AU - Andia, M.
AU - Ando, M.
AU - Andrés-Carcasona, M.
AU - Andric, T.
AU - Anglin, J.
AU - Ansoldi, S.
AU - Antelis, J. M.
AU - Antier, S.
AU - Aoumi, M.
AU - Appavuravther, E. Z.
AU - Appert, S.
AU - Apple, S. K.
AU - LIGO Scientific Collaboration
AU - Virgo Collaboration
AU - KAGRA Collaboration
AU - Bertolini, Alessandro
AU - Danilishin, Stefan
AU - Diksha, Diksha
AU - Guo, Yuefan
AU - Hild, Stefan
AU - Iandolo, Guido Alex
AU - Koekoek, Gideon
AU - Kranzhoff, Luise
AU - Massaro, Luca
AU - Silenzi, Laura
AU - Steinlechner, Sebastian
AU - Steinlechner, Jessica
AU - van den Brand, Johannes
AU - Vardaro, Marco
AU - Wöhler, Janis
N1 - Funding Information:
This material is based upon work supported by NSF\u2019s 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 the 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 Investigaci\u00F3n (AEI), the Spanish Ministerio de Ciencia, Innovaci\u00F3n y Universidades, the European Union NextGenerationEU/PRTR (PRTR-C17.I1), the ICSC\u2014CentroNazionale di Ricerca in High Performance Computing, Big Data and Quantum Computing, funded by the European Union NextGenerationEU, the Comunitat Auton\u00F2ma de les Illes Balears through the Conselleria d\u2019Educaci\u00F3 i Universitats, the Conselleria d\u2019Innovaci\u00F3, Universitats, Ci\u00E8ncia 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\u2014European 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 Concert\u00E9es (ARC) and Fonds Wetenschappelijk Onderzoek\u2014Vlaanderen (FWO), Belgium, the Paris \u00CEle-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 the 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.Additional acknowledgments for support of individual authors may be found in the following document:https://dcc.ligo.org/LIGO-M2300033/public. For the purpose of open access, the authors have applied a Creative Commons Attribution (CC BY) license to any Author Accepted Manuscript version arising. We request that citations to this article use \u201CA. G. Abacet al.(LIGO-Virgo-KAGRA Collaboration), ...\u201D or similar phrasing, depending on journal convention.Software:This software infrastructure used to publish data products onto the GWOSC website made significant use of the IGWN software environment (LIGO-Virgo-KAGRA Collaborationet al.2025e) curated by the LVK, to provide a reproducible computing environment built around tools needed for GW data analysis. Plots were prepared with Matplotlib (J. D. Hunter2007).
Publisher Copyright:
© 2026. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the https://creativecommons.org/licenses/by/4.0/. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
PY - 2026/6/20
Y1 - 2026/6/20
N2 - LIGO, Virgo, and KAGRA form a network of gravitational-wave observatories. Data and analysis results from this network are made publicly available through the Gravitational Wave Open Science Center. This paper describes open data from this network, including the addition of data from the first part of the fourth observing run and selected periods from the preceding engineering run, collected from 2023 May to 2024 January. The public dataset includes calibrated strain time series for each instrument, data from additional channels used for noise subtraction and detector characterization, and analysis data products from version 4.0 of the Gravitational-Wave Transient Catalog.
AB - LIGO, Virgo, and KAGRA form a network of gravitational-wave observatories. Data and analysis results from this network are made publicly available through the Gravitational Wave Open Science Center. This paper describes open data from this network, including the addition of data from the first part of the fourth observing run and selected periods from the preceding engineering run, collected from 2023 May to 2024 January. The public dataset includes calibrated strain time series for each instrument, data from additional channels used for noise subtraction and detector characterization, and analysis data products from version 4.0 of the Gravitational-Wave Transient Catalog.
KW - Astronomy databases (83)
KW - Black holes (162)
KW - Gravitational waves (678)
U2 - 10.3847/1538-4357/ae211e
DO - 10.3847/1538-4357/ae211e
M3 - Article
SN - 0004-637X
VL - 1004
JO - Astrophysical Journal
JF - Astrophysical Journal
IS - 2
M1 - 232
ER -