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A new method to distinguish hadronically decaying boosted Z bosons from W bosons using the ATLAS detector
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
Stockholm University, Faculty of Science, Department of Physics. Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC).
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Number of Authors: 2856
2016 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 76, no 5, 238Article in journal (Refereed) Published
Abstract [en]

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 < p(T) < 400 GeV in root s = 8 TeV pp collisions with the ATLAS detector at the LHC. For Z-boson tagging efficiencies of epsilon(Z) = 90, 50, and 10 %, one can achieve W+-boson tagging rejection factors (1/epsilon(W+)) 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 p(T), hadronically decaying Z bosons. However, the modelling of the tagger inputs for boosted W bosons is studied in data using a t (t) over bar -enriched sample of events in 20.3 fb(-1) of data at root s = 8 TeV. The inputs are well modelled within uncertainties, which builds confidence in the expected tagger performance.

Place, publisher, year, edition, pages
2016. Vol. 76, no 5, 238
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Physical Sciences
Identifiers
URN: urn:nbn:se:su:diva-144467DOI: 10.1140/epjc/s10052-016-4065-1ISI: 000399466100001OAI: oai:DiVA.org:su-144467DiVA: diva2:1113126
Available from: 2017-06-21 Created: 2017-06-21 Last updated: 2017-06-21Bibliographically approved

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Abulaiti, YimingÅkerstedt, HenrikÅsman, BarbroBendtz, KatarinaBertoli, GabrieleBessidskaia Bylund, OlgaBohm, ChristianClément, ChristopheCribbs, Wayne A.Hellman, StenJon-And, KerstinKhandanyan, HovhannesKlimek, PawelLundberg, OlofMilstead, David A.Moa, TorbjörnMolander, SimonPani, PriscillaPlucinski, PawelPöttgen, RuthRossetti, ValerioShcherbakova, AnnaSilverstein, Samuel B.Sjölin, JörgenStrandberg, SaraTylmad, MajaUghetto, Michaël
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