Dijet resonance search with weak supervision using √s=13 TeV pp collisions in the ATLAS detector

Aad, G.; Abbott, B.; Abbott, D.C.; Chudoba, Jiří; Hejbal, Jiří; Hladík, Ondřej; Jačka, Petr; Jakoubek, Tomáš; Kepka, Oldřich; Kroll, Jiří; Kupčo, Alexander; Lokajíček, Miloš; Lysák, Roman; Marčišovský, Michal; Mikeštíková, Marcela; Němeček, Stanislav; Penc, Ondřej; Šícho, Petr; Staroba, Pavel; Svatoš, Michal; Taševský, Marek

doi:https://dx.doi.org/10.1103/PhysRevLett.125.131801

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Dijet resonance search with weak supervision using √s=13 TeV pp collisions in the ATLAS detector

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SYSNO ASEP	0534147
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Dijet resonance search with weak supervision using √s=13 TeV pp collisions in the ATLAS detector
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, ORCID}
Number of authors	2941
Article number	131801
Source Title	Physical Review Letters. - : American Physical Society - ISSN 0031-9007 Roč. 125, č. 13 (2020), s. 1-23
Number of pages	23 s.
Language	eng - English
Country	US - United States
Keywords	ATLAS ; CERN ; LHC ; jet ; production
Subject RIV	BF - Elementary Particles and High Energy Physics
OECD category	Particles and field physics
R&D Projects	LTT17018 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
Research Infrastructure	CERN-CZ II - 90104 - Fyzikální ústav AV ČR, v. v. i.
Method of publishing	Open access
Institutional support	FZU-D - RVO:68378271
UT WOS	000571399800004
EID SCOPUS	85092801738
DOI	10.1103/PhysRevLett.125.131801
Annotation	This Letter describes a search for narrowly resonant new physics using a machine-learning anomaly detection procedure that does not rely on signal simulations for developing the analysis selection. Weakly supervised learning is used to train classifiers directly on data to enhance potential signals. The targeted topology is dijet events and the features used for machine learning are the masses of the two jets. The resulting analysis is essentially a three-dimensional search A→BC, for mA∼O(TeV), mB,mC∼O(100 GeV) and B, C are reconstructed as large-radius jets, without paying a penalty associated with a large trials factor in the scan of the masses of the two jets. The full run 2 √s=13 TeV pp collision dataset of 139 fb-1 recorded by the ATLAS detector at the Large Hadron Collider is used for the search.
Workplace	Institute of Physics
Contact	Kristina Potocká, potocka@fzu.cz, Tel.: 220 318 579
Year of Publishing	2021
Electronic address	http://hdl.handle.net/11104/0312376

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