Virgo detector characterization and data quality: Tools

F. Acernese; M. Agathos; A. Ain; S. Albanesi; A. Allocca; A. Amato; T. Andrade; N. Andres; M. Andrés-Carcasona; T. Andric; S. Ansoldi; S. Antier; T. Apostolatos; E. Z. Appavuravther; M. Arène; N. Arnaud; M. Assiduo; S. Assis De Souza Melo; P. Astone; F. Aubin; S. Babak; F. Badaracco; M. K. M Bader; S. Bagnasco; J. Baird; T. Baka; G. Ballardin; G. Baltus; B. Banerjee; C. Barbieri; P. Barneo; F. Barone; M. Barsuglia; D. Barta; A. Basti; M. Bawaj; M. Bazzan; F. Beirnaert; M. Bejger; I. Belahcene; V. Benedetto; M. Berbel; S. Bernuzzi; D. Bersanetti; A. Bertolini; U. Bhardwaj; A. Bianchi; S. Bini; M. Bischi; M. Bitossi; Et al.; Stefan Danilishin; Stefan Hild; Gideon Koekoek; Ayatri Singha; Viola Spagnuolo; Jessica Steinlechner; Sebastian Steinlechner; Andrei Utina; Johannes van den Brand

doi:10.1088/1361-6382/acdf36

Virgo detector characterization and data quality: Tools

F. Acernese, M. Agathos, A. Ain, S. Albanesi, A. Allocca, A. Amato, T. Andrade, N. Andres, M. Andrés-Carcasona, T. Andric, S. Ansoldi, S. Antier, T. Apostolatos, E. Z. Appavuravther, M. Arène, N. Arnaud^*, M. Assiduo, S. Assis De Souza Melo, P. Astone, F. AubinS. Babak, F. Badaracco, M. K. M Bader, S. Bagnasco, J. Baird, T. Baka, G. Ballardin, G. Baltus, B. Banerjee, C. Barbieri, P. Barneo, F. Barone, M. Barsuglia, D. Barta, A. Basti, M. Bawaj, M. Bazzan, F. Beirnaert, M. Bejger, I. Belahcene, V. Benedetto, M. Berbel, S. Bernuzzi, D. Bersanetti, A. Bertolini, U. Bhardwaj, A. Bianchi, S. Bini, M. Bischi, M. Bitossi, Et al., Stefan Danilishin, Stefan Hild, Gideon Koekoek, Ayatri Singha, Viola Spagnuolo, Jessica Steinlechner, Sebastian Steinlechner, Andrei Utina, Johannes van den Brand

^*Corresponding author for this work

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Abstract

Detector characterization and data quality studies - collectively referred to as DetChar activities in this article - are paramount to the scientific exploitation of the joint dataset collected by the LIGO-Virgo-KAGRA global network of ground-based gravitational-wave (GW) detectors. They take place during each phase of the operation of the instruments (upgrade, tuning and optimization, data taking), are required at all steps of the dataflow (from data acquisition to the final list of GW events) and operate at various latencies (from near real-time to vet the public alerts to offline analyses). This work requires a wide set of tools which have been developed over the years to fulfill the requirements of the various DetChar studies: data access and bookkeeping; global monitoring of the instruments and of the different steps of the data processing; studies of the global properties of the noise at the detector outputs; identification and follow-up of noise peculiar features (whether they be transient or continuously present in the data); quick processing of the public alerts. The present article reviews all the tools used by the Virgo DetChar group during the third LIGO-Virgo Observation Run (O3, from April 2019 to March 2020), mainly to analyze the Virgo data acquired at EGO. Concurrently, a companion article focuses on the results achieved by the DetChar group during the O3 run using these tools.

Original language	English
Article number	185005
Number of pages	43
Journal	Classical and Quantum Gravity
Volume	40
Issue number	18
DOIs	https://doi.org/10.1088/1361-6382/acdf36
Publication status	Published - 10 Sept 2023

Keywords

advanced Virgo detector
data quality
detector characterization
gravitational waves
observing run 3

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10.1088/1361-6382/acdf36

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Acernese, F., Agathos, M., Ain, A., Albanesi, S., Allocca, A., Amato, A., Andrade, T., Andres, N., Andrés-Carcasona, M., Andric, T., Ansoldi, S., Antier, S., Apostolatos, T., Appavuravther, E. Z., Arène, M., Arnaud, N., Assiduo, M., De Souza Melo, S. A., Astone, P., ... van den Brand, J. (2023). Virgo detector characterization and data quality: Tools. Classical and Quantum Gravity, 40(18), Article 185005. https://doi.org/10.1088/1361-6382/acdf36

@article{0bad7178f3414b7cbcbb8c9eb80fc096,

title = "Virgo detector characterization and data quality: Tools",

abstract = "Detector characterization and data quality studies - collectively referred to as DetChar activities in this article - are paramount to the scientific exploitation of the joint dataset collected by the LIGO-Virgo-KAGRA global network of ground-based gravitational-wave (GW) detectors. They take place during each phase of the operation of the instruments (upgrade, tuning and optimization, data taking), are required at all steps of the dataflow (from data acquisition to the final list of GW events) and operate at various latencies (from near real-time to vet the public alerts to offline analyses). This work requires a wide set of tools which have been developed over the years to fulfill the requirements of the various DetChar studies: data access and bookkeeping; global monitoring of the instruments and of the different steps of the data processing; studies of the global properties of the noise at the detector outputs; identification and follow-up of noise peculiar features (whether they be transient or continuously present in the data); quick processing of the public alerts. The present article reviews all the tools used by the Virgo DetChar group during the third LIGO-Virgo Observation Run (O3, from April 2019 to March 2020), mainly to analyze the Virgo data acquired at EGO. Concurrently, a companion article focuses on the results achieved by the DetChar group during the O3 run using these tools.",

keywords = "advanced Virgo detector, data quality, detector characterization, gravitational waves, observing run 3",

author = "F. Acernese and M. Agathos and A. Ain and S. Albanesi and A. Allocca and A. Amato and T. Andrade and N. Andres and M. Andr{\'e}s-Carcasona and T. Andric and S. Ansoldi and S. Antier and T. Apostolatos and Appavuravther, \{E. Z.\} and M. Ar{\`e}ne and N. Arnaud and M. Assiduo and \{De Souza Melo\}, \{S. Assis\} and P. Astone and F. Aubin and S. Babak and F. Badaracco and \{M Bader\}, \{M. K.\} and S. Bagnasco and J. Baird and T. Baka and G. Ballardin and G. Baltus and B. Banerjee and C. Barbieri and P. Barneo and F. Barone and M. Barsuglia and D. Barta and A. Basti and M. Bawaj and M. Bazzan and F. Beirnaert and M. Bejger and I. Belahcene and V. Benedetto and M. Berbel and S. Bernuzzi and D. Bersanetti and A. Bertolini and U. Bhardwaj and A. Bianchi and S. Bini and M. Bischi and M. Bitossi and \{Et al.\} and Stefan Danilishin and Stefan Hild and Gideon Koekoek and Ayatri Singha and Viola Spagnuolo and Jessica Steinlechner and Sebastian Steinlechner and Andrei Utina and \{van den Brand\}, Johannes",

note = "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 Investigaci{\'o}n, the Consellera d{\textquoteright}Innovaci{\'o}, Universitats, Ci{\`e}ncia 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 Concert{\'e}es (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: {\textcopyright} 2023 IOP Publishing Ltd.",

year = "2023",

month = sep,

day = "10",

doi = "10.1088/1361-6382/acdf36",

language = "English",

volume = "40",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

publisher = "IOP Publishing Ltd.",

number = "18",

}

Acernese, F, Agathos, M, Ain, A, Albanesi, S, Allocca, A, Amato, A, Andrade, T, Andres, N, Andrés-Carcasona, M, Andric, T, Ansoldi, S, Antier, S, Apostolatos, T, Appavuravther, EZ, Arène, M, Arnaud, N, Assiduo, M, De Souza Melo, SA, Astone, P, Aubin, F, Babak, S, Badaracco, F, M Bader, MK, Bagnasco, S, Baird, J, Baka, T, Ballardin, G, Baltus, G, Banerjee, B, Barbieri, C, Barneo, P, Barone, F, Barsuglia, M, Barta, D, Basti, A, Bawaj, M, Bazzan, M, Beirnaert, F, Bejger, M, Belahcene, I, Benedetto, V, Berbel, M, Bernuzzi, S, Bersanetti, D, Bertolini, A, Bhardwaj, U, Bianchi, A, Bini, S, Bischi, M, Bitossi, M, Et al., Danilishin, S , Hild, S , Koekoek, G, Singha, A, Spagnuolo, V, Steinlechner, J , Steinlechner, S, Utina, A & van den Brand, J 2023, 'Virgo detector characterization and data quality: Tools', Classical and Quantum Gravity, vol. 40, no. 18, 185005. https://doi.org/10.1088/1361-6382/acdf36

TY - JOUR

T1 - Virgo detector characterization and data quality

T2 - Tools

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 - De Souza Melo, S. Assis

AU - Astone, P.

AU - Aubin, F.

AU - Babak, S.

AU - Badaracco, F.

AU - M Bader, M. K.

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 - Detector characterization and data quality studies - collectively referred to as DetChar activities in this article - are paramount to the scientific exploitation of the joint dataset collected by the LIGO-Virgo-KAGRA global network of ground-based gravitational-wave (GW) detectors. They take place during each phase of the operation of the instruments (upgrade, tuning and optimization, data taking), are required at all steps of the dataflow (from data acquisition to the final list of GW events) and operate at various latencies (from near real-time to vet the public alerts to offline analyses). This work requires a wide set of tools which have been developed over the years to fulfill the requirements of the various DetChar studies: data access and bookkeeping; global monitoring of the instruments and of the different steps of the data processing; studies of the global properties of the noise at the detector outputs; identification and follow-up of noise peculiar features (whether they be transient or continuously present in the data); quick processing of the public alerts. The present article reviews all the tools used by the Virgo DetChar group during the third LIGO-Virgo Observation Run (O3, from April 2019 to March 2020), mainly to analyze the Virgo data acquired at EGO. Concurrently, a companion article focuses on the results achieved by the DetChar group during the O3 run using these tools.

AB - Detector characterization and data quality studies - collectively referred to as DetChar activities in this article - are paramount to the scientific exploitation of the joint dataset collected by the LIGO-Virgo-KAGRA global network of ground-based gravitational-wave (GW) detectors. They take place during each phase of the operation of the instruments (upgrade, tuning and optimization, data taking), are required at all steps of the dataflow (from data acquisition to the final list of GW events) and operate at various latencies (from near real-time to vet the public alerts to offline analyses). This work requires a wide set of tools which have been developed over the years to fulfill the requirements of the various DetChar studies: data access and bookkeeping; global monitoring of the instruments and of the different steps of the data processing; studies of the global properties of the noise at the detector outputs; identification and follow-up of noise peculiar features (whether they be transient or continuously present in the data); quick processing of the public alerts. The present article reviews all the tools used by the Virgo DetChar group during the third LIGO-Virgo Observation Run (O3, from April 2019 to March 2020), mainly to analyze the Virgo data acquired at EGO. Concurrently, a companion article focuses on the results achieved by the DetChar group during the O3 run using these tools.

KW - advanced Virgo detector

KW - data quality

KW - detector characterization

KW - gravitational waves

KW - observing run 3

U2 - 10.1088/1361-6382/acdf36

DO - 10.1088/1361-6382/acdf36

M3 - Article

SN - 0264-9381

VL - 40

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

IS - 18

M1 - 185005

ER -

Virgo detector characterization and data quality: Tools

Abstract

Keywords

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