TY - JOUR
T1 - Virgo detector characterization and data quality
T2 - Results from the O3 run
AU - Acernese, F.
AU - Agathos, M.
AU - Ain, A.
AU - Albanesi, S.
AU - Allocca, A.
AU - Amato, A.
AU - Andrade, T.
AU - Andres, N.
AU - Andrés-Carcasona, M.
AU - Andric, T.
AU - Ansoldi, S.
AU - Antier, S.
AU - Apostolatos, T.
AU - Appavuravther, E. Z.
AU - Arène, M.
AU - Arnaud, N.
AU - Assiduo, M.
AU - Assis De Souza Melo, S.
AU - Astone, P.
AU - Aubin, F.
AU - Babak, S.
AU - Badaracco, F.
AU - Bader, M. K.M.
AU - Bagnasco, S.
AU - Baird, J.
AU - Baka, T.
AU - Ballardin, G.
AU - Baltus, G.
AU - Banerjee, B.
AU - Barbieri, C.
AU - Barneo, P.
AU - Barone, F.
AU - Barsuglia, M.
AU - Barta, D.
AU - Basti, A.
AU - Bawaj, M.
AU - Bazzan, M.
AU - Beirnaert, F.
AU - Bejger, M.
AU - Belahcene, I.
AU - Benedetto, V.
AU - Berbel, M.
AU - Bernuzzi, S.
AU - Bersanetti, D.
AU - Bertolini, A.
AU - Bhardwaj, U.
AU - Bianchi, A.
AU - Bini, S.
AU - Bischi, M.
AU - Bitossi, M.
AU - Et al.
AU - Danilishin, Stefan
AU - Hild, Stefan
AU - Koekoek, Gideon
AU - Singha, Ayatri
AU - Spagnuolo, Viola
AU - Steinlechner, Jessica
AU - Steinlechner, Sebastian
AU - Utina, Andrei
AU - van den Brand, Johannes
N1 - Funding Information:
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 Spanish Agencia Estatal de Investigación, the Consellera d’Innovació, Universitats, Ciència i Societat Digital de la Generalitat Valenciana and the CERCA Programme Generalitat de Catalunya, Spain, the National Science Centre of Poland and the European Union—European Regional Development Fund; Foundation for Polish Science (FNP), 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 European Commission. The authors gratefully acknowledge the support of the NSF, STFC, INFN, CNRS and Nikhef for provision of computational resources.
Publisher Copyright:
© 2023 IOP Publishing Ltd.
PY - 2023/9/10
Y1 - 2023/9/10
N2 - The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected GW signals in the past few years, alongside the two Advanced LIGO instruments. First during the last month of the Observation Run 2 (O2) in August 2017 (with, most notably, the compact binary mergers GW170814 and GW170817), and then during the full Observation Run 3 (O3): an 11 months data taking period, between April 2019 and March 2020, that led to the addition of 79 events to the catalog of transient GW sources maintained by LIGO, Virgo and now KAGRA. These discoveries and the manifold exploitation of the detected waveforms benefit from an accurate characterization of the quality of the data, such as continuous study and monitoring of the detector noise sources. These activities, collectively named detector characterization and data quality or DetChar, span the whole workflow of the Virgo data, from the instrument front-end hardware to the final analyses. They are described in detail in the following article, with a focus on the results achieved by the Virgo DetChar group during the O3 run. Concurrently, a companion article describes the tools that have been used by the Virgo DetChar group to perform this work.
AB - The Advanced Virgo detector has contributed with its data to the rapid growth of the number of detected GW signals in the past few years, alongside the two Advanced LIGO instruments. First during the last month of the Observation Run 2 (O2) in August 2017 (with, most notably, the compact binary mergers GW170814 and GW170817), and then during the full Observation Run 3 (O3): an 11 months data taking period, between April 2019 and March 2020, that led to the addition of 79 events to the catalog of transient GW sources maintained by LIGO, Virgo and now KAGRA. These discoveries and the manifold exploitation of the detected waveforms benefit from an accurate characterization of the quality of the data, such as continuous study and monitoring of the detector noise sources. These activities, collectively named detector characterization and data quality or DetChar, span the whole workflow of the Virgo data, from the instrument front-end hardware to the final analyses. They are described in detail in the following article, with a focus on the results achieved by the Virgo DetChar group during the O3 run. Concurrently, a companion article describes the tools that have been used by the Virgo DetChar group to perform this work.
KW - Advanced Virgo detector
KW - data quality
KW - detector characterization
KW - gravitational waves
KW - Observing run 3
U2 - 10.1088/1361-6382/acd92d
DO - 10.1088/1361-6382/acd92d
M3 - Article
SN - 0264-9381
VL - 40
JO - Classical and Quantum Gravity
JF - Classical and Quantum Gravity
IS - 18
M1 - 185006
ER -