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Search for new phenomena in events with an energetic jet and missing transverse momentum in pp collisions at √s =13 TeV with the ATLAS detector
- 1.0548431 - FZÚ 2022 RIV US eng J - Článek v odborném periodiku
Aad, G. - Abbott, B. - Abbott, D.C. - Chudoba, Jiří - Hejbal, Jiří - Hladík, Ondřej - Jačka, Petr - Kepka, Oldřich - Kroll, Jiří - Kupčo, Alexander - Latoňová, Věra - Lokajíček, Miloš - Lysák, Roman - Marčišovský, Michal - Mikeštíková, Marcela - Němeček, Stanislav - Penc, Ondřej - Šícho, Petr - Staroba, Pavel - Svatoš, Michal - Taševský, Marek … celkem 2907 autorů
Search for new phenomena in events with an energetic jet and missing transverse momentum in pp collisions at √s =13 TeV with the ATLAS detector.
Physical Review D. Roč. 103, č. 11 (2021), č. článku 112006. ISSN 2470-0010. E-ISSN 2470-0029
Grant CEP: GA MŠMT(CZ) LTT17018
Výzkumná infrastruktura: CERN-CZ II - 90104
Institucionální podpora: RVO:68378271
Klíčová slova: dark matter: interaction * new physics: search for ATLAS
Obor OECD: Particles and field physics
Impakt faktor: 5.407, rok: 2021
Způsob publikování: Open access
Results of a search for new physics in final states with an energetic jet and large missing transverse momentum are reported. The search uses proton-proton collision data corresponding to an integrated luminosity of 139 fb-1 at a center-of-mass energy of 13 TeV collected in the period 2015–2018 with the ATLAS detector at the Large Hadron Collider. Compared to previous publications, in addition to an increase of almost a factor of four in the data size, the analysis implements a number of improvements in the signal selection and the background determination leading to enhanced sensitivity. Events are required to have at least one jet with transverse momentum above 150 GeV and no reconstructed leptons (e, μ or τ) or photons. Several signal regions are considered with increasing requirements on the missing transverse momentum starting at 200 GeV. Overall agreement is observed between the number of events in data and the Standard Model predictions.
Trvalý link: http://hdl.handle.net/11104/0324466
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