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Yajun Mao

Researcher at Peking University

Publications -  1011
Citations -  52078

Yajun Mao is an academic researcher from Peking University. The author has contributed to research in topics: Large Hadron Collider & Higgs boson. The author has an hindex of 98, co-authored 628 publications receiving 46328 citations. Previous affiliations of Yajun Mao include University of Wisconsin-Madison & Vanderbilt University.

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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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Combined Measurement of the Higgs Boson Mass in pp Collisions at √s=7 and 8 TeV with the ATLAS and CMS Experiments

Georges Aad, +5120 more
TL;DR: A measurement of the Higgs boson mass is presented based on the combined data samples of the ATLAS and CMS experiments at the CERN LHC in the H→γγ and H→ZZ→4ℓ decay channels.
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The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.
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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.
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Particle-flow reconstruction and global event description with the CMS detector

Albert M. Sirunyan, +2215 more
TL;DR: A fully-fledged particle-flow reconstruction algorithm tuned to the CMS detector was developed and has been consistently used in physics analyses for the first time at a hadron collider as mentioned in this paper.