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Sunghyun Chang

Researcher at Kangwon National University

Publications -  298
Citations -  32835

Sunghyun Chang is an academic researcher from Kangwon National University. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 96, co-authored 298 publications receiving 31514 citations. Previous affiliations of Sunghyun Chang include CERN & Chonnam National University.

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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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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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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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Precise determination of the mass of the Higgs boson and tests of compatibility of its couplings with the standard model predictions using proton collisions at 7 and 8 TeV

Vardan Khachatryan, +2137 more
TL;DR: The couplings of the Higgs boson are probed for deviations in magnitude from the standard model predictions in multiple ways, including searches for invisible and undetected decays, and no significant deviations are found.
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Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV

S. Chatrchyan, +2345 more
TL;DR: In this article, the performance of muon reconstruction, identification, and triggering in CMS has been studied using 40 inverse picobarns of data collected in pp collisions at the LHC in 2010.