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A new method to distinguish hadronically decaying boosted Z bosons from W bosons using the ATLAS detector
Aix Marseille Univ, CPPM, Marseille, France.;CNRS IN2P3, Marseille, France..
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics. Royal Inst Technol, Phys Dept, Stockholm, Sweden..ORCID iD: 0000-0003-3867-0336
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics. Royal Inst Technol, Phys Dept, Stockholm, Sweden..ORCID iD: 0000-0002-0299-8236
KTH, School of Engineering Sciences (SCI), Physics, Particle and Astroparticle Physics. Royal Inst Technol, Phys Dept, Stockholm, Sweden..ORCID iD: 0000-0002-8913-0981
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Number of Authors: 28562016 (English)In: European Physical Journal C, ISSN 1434-6044, E-ISSN 1434-6052, Vol. 76, no 5, article id 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
SPRINGER , 2016. Vol. 76, no 5, article id 238
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Physical Sciences
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URN: urn:nbn:se:kth:diva-242653DOI: 10.1140/epjc/s10052-016-4065-1ISI: 000399466100001PubMedID: 28280428Scopus ID: 2-s2.0-84964889939OAI: oai:DiVA.org:kth-242653DiVA, id: diva2:1291346
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QC 20190225

Available from: 2019-02-25 Created: 2019-02-25 Last updated: 2019-02-25Bibliographically approved

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Jensen, BengtSidebo, P. EdvinStrandberg, Jonas

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