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Article: ATLAS data quality operations and performance for 2015-2018 data-taking

TitleATLAS data quality operations and performance for 2015-2018 data-taking
Authors
KeywordsColliding beam accelerators
Computer hardware
Quality control
Telecommunication industry
Tellurium compounds
Issue Date2020
PublisherIOP Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/1748-0221
Citation
Journal of Instrumentation, 2020, v. 15 n. 4, p. P04003:1-P04003:20 How to Cite?
AbstractThe ATLAS detector at the Large Hadron Collider reads out particle collision data from over 100 million electronic channels at a rate of approximately 100 kHz, with a recording rate for physics events of approximately 1 kHz. Before being certified for physics analysis at computer centres worldwide, the data must be scrutinised to ensure they are clean from any hardware or software related issues that may compromise their integrity. Prompt identification of these issues permits fast action to investigate, correct and potentially prevent future such problems that could render the data unusable. This is achieved through the monitoring of detector-level quantities and reconstructed collision event characteristics at key stages of the data processing chain. This paper presents the monitoring and assessment procedures in place at ATLAS during 2015–2018 data-taking. Through the continuous improvement of operational procedures, ATLAS achieved a high data quality efficiency, with 95.6% of the recorded proton-proton collision data collected at √s=13 TeV certified for physics analysis.
Persistent Identifierhttp://hdl.handle.net/10722/286257
ISSN
2021 Impact Factor: 1.121
2020 SCImago Journal Rankings: 0.741
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLo, CY-
dc.contributor.authorOrlando, N-
dc.contributor.authorParedes Hernandez, D-
dc.contributor.authorSalvucci, A-
dc.contributor.authorTu, Y-
dc.contributor.authorThe ATLAS collaboration-
dc.contributor.authorPizzimento, L-
dc.date.accessioned2020-08-31T07:01:24Z-
dc.date.available2020-08-31T07:01:24Z-
dc.date.issued2020-
dc.identifier.citationJournal of Instrumentation, 2020, v. 15 n. 4, p. P04003:1-P04003:20-
dc.identifier.issn1748-0221-
dc.identifier.urihttp://hdl.handle.net/10722/286257-
dc.description.abstractThe ATLAS detector at the Large Hadron Collider reads out particle collision data from over 100 million electronic channels at a rate of approximately 100 kHz, with a recording rate for physics events of approximately 1 kHz. Before being certified for physics analysis at computer centres worldwide, the data must be scrutinised to ensure they are clean from any hardware or software related issues that may compromise their integrity. Prompt identification of these issues permits fast action to investigate, correct and potentially prevent future such problems that could render the data unusable. This is achieved through the monitoring of detector-level quantities and reconstructed collision event characteristics at key stages of the data processing chain. This paper presents the monitoring and assessment procedures in place at ATLAS during 2015–2018 data-taking. Through the continuous improvement of operational procedures, ATLAS achieved a high data quality efficiency, with 95.6% of the recorded proton-proton collision data collected at √s=13 TeV certified for physics analysis.-
dc.languageeng-
dc.publisherIOP Publishing. The Journal's web site is located at http://www.iop.org/EJ/journal/1748-0221-
dc.relation.ispartofJournal of Instrumentation-
dc.rightsJournal of Instrumentation. Copyright © IOP Publishing.-
dc.rightsThis is an author-created, un-copyedited version of an article published in [insert name of journal]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at http://dx.doi.org/[insert DOI].-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectColliding beam accelerators-
dc.subjectComputer hardware-
dc.subjectQuality control-
dc.subjectTelecommunication industry-
dc.subjectTellurium compounds-
dc.titleATLAS data quality operations and performance for 2015-2018 data-taking-
dc.typeArticle-
dc.identifier.emailParedes Hernandez, D: dparedes@hku.hk-
dc.identifier.emailTu, Y: yanjuntu@hku.hk-
dc.identifier.authorityTu, Y=rp01971-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1088/1748-0221/15/04/P04003-
dc.identifier.scopuseid_2-s2.0-85085256115-
dc.identifier.hkuros313076-
dc.identifier.volume15-
dc.identifier.issue4-
dc.identifier.spageP04003:1-
dc.identifier.epageP04003:20-
dc.identifier.isiWOS:000534740000003-
dc.publisher.placeUnited Kingdom-
dc.identifier.issnl1748-0221-

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