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Ivan Amos Cali

Researcher at Massachusetts Institute of Technology

Publications -  1389
Citations -  95141

Ivan Amos Cali is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 131, co-authored 1249 publications receiving 85657 citations. Previous affiliations of Ivan Amos Cali include University of Rochester & University of Florence.

Papers
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Observation of a new boson with mass near 125 GeV in pp collisions at $ \sqrt{s}=7 $ and 8 TeV

S. Chatrchyan, +2247 more
TL;DR: In this article, a detailed description of the analysis used by the CMS Collaboration in the search for the standard model Higgs boson in pp collisions at the LHC, which led to the observation of a new boson.
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Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at √s = 8 TeV

Khachatryan, +2121 more
TL;DR: In this article, the performance and strategies used in electron reconstruction and selection at CERN LHC are presented based on data corresponding to an integrated luminosity of 19.7 inverse femtobarns, collected in proton-proton collisions at sqrt(s) = 8 TeV.
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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.
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Observation of long-range, near-side angular correlations in pPb collisions at the LHC

S. Chatrchyan, +2176 more
- 08 Jan 2013 - 
TL;DR: In this paper, two-particle angular correlations for charged particles emitted in pPb collisions at a nucleon-nucleon center-of-mass energy of 5.02 TeV are presented.
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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.