Virgo Detector Characterization and Data Quality: tools

Kevin Turbang

doi:10.1088/1361-6382/acdf36

Virgo Detector Characterization and Data Quality: tools

Kevin Turbang

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

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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
Pages (from-to)	1-44
Number of pages	44
Journal	Classical and Quantum Gravity
Volume	40
Issue number	18
DOIs	https://doi.org/10.1088/1361-6382/acdf36
Publication status	Published - 10 Sep 2023

Bibliographical 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 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.

Keywords

gr-qc
astro-ph.IM

Access to Document

10.1088/1361-6382/acdf36Licence: Unspecified

Cite this

@article{eda4abb1a9384b7f8305efb0d024336d,

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 = "gr-qc, astro-ph.IM",

author = "Kevin Turbang",

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",

pages = "1--44",

journal = "Classical and Quantum Gravity",

issn = "0264-9381",

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number = "18",

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T2 - tools

AU - Turbang, Kevin

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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.

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KW - astro-ph.IM

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U2 - 10.1088/1361-6382/acdf36

DO - 10.1088/1361-6382/acdf36

M3 - Article

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SP - 1

EP - 44

JO - Classical and Quantum Gravity

JF - Classical and Quantum Gravity

SN - 0264-9381

IS - 18

M1 - 185005

ER -

Virgo Detector Characterization and Data Quality: tools

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

FWOIRI15: Essential Technologies for the Einstein Telescope

SRP72: SRP-Onderzoekszwaartepunt: High-energy physics (HEP@VUB).

iBOF/21/084: Unlocking the Dark Universe with Gravitational Wave Observations: from Quantum Optics to Quantum Gravity

Cite this

Virgo Detector Characterization and Data Quality: tools

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Projects

FWOIRI15: Essential Technologies for the Einstein Telescope

SRP72: SRP-Onderzoekszwaartepunt: High-energy physics (HEP@VUB).

iBOF/21/084: Unlocking the Dark Universe with Gravitational Wave Observations: from Quantum Optics to Quantum Gravity

Cite this