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ATLAS data quality operations and performance for 2015–2018 data-taking
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SYSNO ASEP 0535078 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title ATLAS data quality operations and performance for 2015–2018 data-taking Author(s) Aad, G. (FR)
Abbott, B. (US)
Abbott, D.C. (US)
Chudoba, Jiří (FZU-D) RID, ORCID
Hejbal, Jiří (FZU-D) RID, ORCID
Hladík, Ondřej (FZU-D) ORCID
Jačka, Petr (FZU-D) ORCID
Jakoubek, Tomáš (FZU-D) RID, ORCID
Kepka, Oldřich (FZU-D) RID, ORCID
Kroll, Jiří (FZU-D) ORCID
Kupčo, Alexander (FZU-D) RID, ORCID
Lokajíček, Miloš (FZU-D) RID, ORCID
Lysák, Roman (FZU-D) RID, ORCID
Marčišovský, Michal (FZU-D) RID, ORCID
Mikeštíková, Marcela (FZU-D) RID, ORCID
Němeček, Stanislav (FZU-D) RID, ORCID
Penc, Ondřej (FZU-D) ORCID
Šícho, Petr (FZU-D) RID, ORCID
Staroba, Pavel (FZU-D) RID, ORCID
Svatoš, Michal (FZU-D) RID, ORCID
Taševský, Marek (FZU-D) RID, ORCIDNumber of authors 2929 Article number P04003 Source Title Journal of Instrumentation. - : Institute of Physics Publishing - ISSN 1748-0221
Roč. 15, č. 4 (2020), s. 1-44Number of pages 44 s. Language eng - English Country GB - United Kingdom Keywords ATLAS ; monitoring ; quality ; data management ; programming ; efficiency ; performance Subject RIV BF - Elementary Particles and High Energy Physics OECD category Particles and field physics R&D Projects LM2018104 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) LTT17018 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 000534740000003 EID SCOPUS 85085256115 DOI 10.1088/1748-0221/15/04/P04003 Annotation The 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. Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2021 Electronic address http://hdl.handle.net/11104/0313188
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