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Combined search for the Standard Model Higgs boson using up to 4.9 fb(-1) of pp collision data at root s=7 TeV with the ATLAS detector at the LHC
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.
KTH, Skolan för teknikvetenskap (SCI), Fysik, Partikel- och astropartikelfysik.
Vise andre og tillknytning
2012 (engelsk)Inngår i: Physics Letters B, ISSN 0370-2693, E-ISSN 1873-2445, Vol. 710, nr 1, s. 49-66Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

A combined search for the Standard Model Higgs boson with the ATLAS experiment at the LHC using datasets corresponding to integrated luminosities from 1.04 fb(-1) to 4.9 fb(-1) of pp collisions collected at root s = 7 TeV is presented. The Higgs boson mass ranges 112.9-115.5 GeV, 131-238 GeV and 251-466 GeV are excluded at the 95% confidence level (CL), while the range 124-519 GeV is expected to be excluded in the absence of a signal. An excess of events is observed around m(H) similar to 126 GeV with a local significance of 3.5 standard deviations (sigma). The local significances of H -> gamma, H -> ZZ(()*()) -> l(+)l(-)l'(+)l'(-) and H -> WW(*()) l(+)nu l'(-)(nu) over bar, the three most sensitive channels in this mass range, are 2.8 sigma, 2.1 sigma and 1.4 sigma. respectively. The global probability for the background to produce such a fluctuation anywhere in the explored Higgs boson mass range 110-600 GeV is estimated to be similar to 1.4% or, equivalently, 2.2 sigma.

sted, utgiver, år, opplag, sider
2012. Vol. 710, nr 1, s. 49-66
Emneord [en]
Hadron Colliders, Qcd Corrections, Massless Particles, Broken Symmetries, Nnlo Qcd, Decays
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Identifikatorer
URN: urn:nbn:se:kth:diva-96833DOI: 10.1016/j.physletb.2012.02.044ISI: 000302672500006Scopus ID: 2-s2.0-84862776922OAI: oai:DiVA.org:kth-96833DiVA, id: diva2:533176
Merknad
QC 20120613. Author count: 3051Tilgjengelig fra: 2012-06-13 Laget: 2012-06-13 Sist oppdatert: 2017-12-07bibliografisk kontrollert

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