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E. Di Marco

Researcher at Sapienza University of Rome

Publications -  410
Citations -  32748

E. Di Marco is an academic researcher from Sapienza University of Rome. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 87, co-authored 388 publications receiving 30206 citations. Previous affiliations of E. Di Marco include Université libre de Bruxelles & Paul Scherrer Institute.

Papers
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Journal ArticleDOI

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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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.
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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.