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M

M. De Mattia

Researcher at Texas A&M University

Publications -  875
Citations -  75911

M. De Mattia is an academic researcher from Texas A&M University. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 123, co-authored 863 publications receiving 69421 citations. Previous affiliations of M. De Mattia include University of Trento & Texas Tech University.

Papers
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Journal ArticleDOI

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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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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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.
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Event generator tunes obtained from underlying event and multiparton scattering measurements

Vardan Khachatryan, +2286 more
TL;DR: Combined fits to CMS UE proton–proton data at 7TeV and to UEProton–antiproton data from the CDF experiment at lower s, are used to study the UE models and constrain their parameters, providing thereby improved predictions for proton-proton collisions at 13.