Search for the Higgs Boson in the WH->lvbb Channel with the ATLAS Detector

Search for the Higgs Boson in the WH->lvbb Channel with the ATLAS Detector
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Total Pages : 178
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ISBN-10 : OCLC:965797555
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Book Synopsis Search for the Higgs Boson in the WH->lvbb Channel with the ATLAS Detector by : Kazuya Mochizuki

Download or read book Search for the Higgs Boson in the WH->lvbb Channel with the ATLAS Detector written by Kazuya Mochizuki and published by . This book was released on 2015 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: In July 2012, the ATLAS and CMS collaborations announced the discovery of a new particle at a mass of about 125 GeV, compatible with the Higgs boson predicted by the Standard Model (SM) ofparticle physics. Although all measurements as of Summer 2015 show a full consistency with the SM predictions, the H->bb decay channel has not been seen yet as clearly as the other decay channels. This thesis presents a search for the Higgs boson in the WH->lvbb channel, using proton-proton collision data at sqrt(s) = 8 TeV taken with the ATLAS detector in the year 2012, corresponding to an integrated luminosity of 20.3 fb-1. This document details in particular one of the contributions made by the author in this search: the additional analysis region with muon events triggered by missing transverse momentum. An excess over the background-only hypothesis has been found with a significance of 1.8 sigma while 1.5 sigma was expected. The observed (expected) upper limit on the cross-section times branching ratio for WH->lvbb at 95% confidence level is found to be 2.35 (1.37) times the SM prediction at mH = 125 GeV. This search highly relies on the identification of jets originating in b-quark fragmentation, so-called b-tagging. In order to improve the H->bb search and other physics analyses using b-tagging in ATLAS, the development of high performance b-tagging algorithms has been performed and is presented also in this thesis. A new b-tagging algorithm, called MV2, is introduced: it improves the b-tagging performance significantly and is now the baseline b-tagging algorithm in ATLAS for the Run-2 analyses.

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