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A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment
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SYSNO ASEP 0521011 Document Type J - Journal Article R&D Document Type Journal Article Subsidiary J Článek ve WOS Title A strategy for a general search for new phenomena using data-derived signal regions and its application within the ATLAS experiment Author(s) Aaboud, M. (MA)
Aad, G. (FR)
Abbott, B. (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 2891 Article number 120 Source Title European Physical Journal C. - : Springer - ISSN 1434-6044
Roč. 79, č. 2 (2019), s. 1-45Number of pages 45 s. Language eng - English Country DE - Germany Keywords ATLAS ; CERN LHC Coll ; numerical calculations: Monte Carlo ; sensitivity ; statistica ; background ; benchmark Subject RIV BF - Elementary Particles and High Energy Physics OECD category Particles and field physics Research Infrastructure CERN-CZ - 90058 - Fyzikální ústav AV ČR, v. v. i. Method of publishing Open access Institutional support FZU-D - RVO:68378271 UT WOS 000457998500007 EID SCOPUS 85061187220 DOI 10.1140/epjc/s10052-019-6540-y Annotation This paper describes a strategy for a general search used by the ATLAS Collaboration to find potential indications of new physics. Events are classified according to their final state into many event classes. For each event class an automated search algorithm tests whether the data are compatible with the Monte Carlo simulated expectation in several distributions sensitive to the effects of new physics. The significance of a deviation is quantified using pseudo-experiments. A data selection with a significant deviation defines a signal region for a dedicated follow-up analysis with an improved background expectation. The analysis of the data-derived signal regions on a new dataset allows a statistical interpretation without the large look-elsewhere effect. The sensitivity of the approach is discussed using Standard Model processes and benchmark signals of new physics.
Workplace Institute of Physics Contact Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579 Year of Publishing 2020 Electronic address http://hdl.handle.net/11104/0305667
Number of the records: 1