0471684 - FZÚ 2017 RIV US eng J - Článek v odborném periodiku
Aad, G. - Abbott, B. - Abdallah, J. - Chudoba, Jiří - Havránek, Miroslav - Hejbal, Jiří - Jakoubek, Tomáš - Kepka, Oldřich - Kupčo, Alexander - Kůs, Vlastimil - Lokajíček, Miloš - Lysák, Roman - Marčišovský, Michal - Mikeštíková, Marcela - Němeček, Stanislav - Penc, Ondřej - Šícho, Petr - Staroba, Pavel - Svatoš, Michal - Taševský, Marek - Vrba, Václav … celkem 2858 autorů
A new method to distinguish hadronically decaying boosted Zbosons from W bosons using the ATLAS detector.
European Physical Journal C. Roč. 76, č. 5 (2016), s. 1-46, č. článku 238. ISSN 1434-6044. E-ISSN 1434-6052
Institucionální podpora: RVO:68378271
Klíčová slova: ATLAS * transverse momentum dependence * CERN LHC Coll * performance * background * data analysis method * experimental results * 8000 GeV-cms
Kód oboru RIV: BF - Elementární částice a fyzika vys. energií
Impakt faktor: 5.297, rok: 2016 ; AIS: 1.673, rok: 2016
DOI: https://doi.org/10.1140/epjc/s10052-016-4065-1

The distribution of particles inside hadronic jets produced in the decay of boosted W and Z bosons can be used to discriminate such jets from the continuum background. Given that a jet has been identified as likely resulting from the hadronic decay of a boosted W or Z boson, this paper presents a technique for further differentiating Z bosons from W bosons. The variables used are jet mass, jet charge, and a b-tagging discriminant. A likelihood tagger is constructed from these variables and tested in the simulation of W′→WZ for bosons in the transverse momentum range 200 GeV <pT< 400 GeV in s√=8 TeV pp collisions with the ATLAS detector at the LHC. For Z-boson tagging efficiencies of ϵZ=90 , 50, and 10% , one can achieve W+ -boson tagging rejection factors ( 1/ϵW+ ) of 1.7, 8.3 and 1000, respectively. It is not possible to measure these efficiencies in the data due to the lack of a pure sample of high pT , hadronically decaying Z bosons. However, the modelling of the tagger inputs for boosted W bosons is studied in data using a tt¯ -enriched sample of events in 20.3 fb −1 of data at s√=8 TeV. The inputs are well modelled within uncertainties, which builds confidence in the expected tagger performance.



Trvalý link: http://hdl.handle.net/11104/0269029