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Richard Wigmans

Researcher at Texas Tech University

Publications -  269
Citations -  24883

Richard Wigmans is an academic researcher from Texas Tech University. The author has contributed to research in topics: Large Hadron Collider & Calorimeter (particle physics). The author has an hindex of 65, co-authored 268 publications receiving 23833 citations. Previous affiliations of Richard Wigmans include CERN.

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Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

S. Chatrchyan, +2863 more
- 17 Sep 2012 - 
TL;DR: In this paper, results from searches for the standard model Higgs boson in proton-proton collisions at 7 and 8 TeV in the CMS experiment at the LHC, using data samples corresponding to integrated luminosities of up to 5.8 standard deviations.
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CMS physics technical design report, volume II: Physics performance

G. L. Bayatian, +2063 more
- 01 Jun 2007 - 
TL;DR: In this article, the authors present a detailed analysis of the performance of the Large Hadron Collider (CMS) at 14 TeV and compare it with the state-of-the-art analytical tools.
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Combined results of searches for the standard model Higgs boson in pp collisions at √s = 7 TeV

S. Chatrchyan, +2247 more
TL;DR: In this article, the authors reported results from searches for the standard model Higgs boson in proton-proton collisions at square root(s) = 7 TeV in five decay modes: gamma pair, b-quark pair, tau lepton pair, W pair, and Z pair.
Journal ArticleDOI

Determination of jet energy calibration and transverse momentum resolution in CMS

S. Chatrchyan, +2271 more
TL;DR: In this article, the transverse momentum balance in dijet and γ/Z+jets events is used to measure the jet energy response in the CMS detector, as well as the transversal momentum resolution.
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Observation and studies of jet quenching in PbPb collisions at √sNN=2.76 TeV

S. Chatrchyan, +2180 more
- 12 Aug 2011 - 
TL;DR: In this article, the authors studied the effect of collision centrality on the transverse momentum of PbPb collisions at the LHC with a data sample of 6.7 inverse microbarns.