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L

L. Mundim

Researcher at Rio de Janeiro State University

Publications -  21
Citations -  2132

L. Mundim is an academic researcher from Rio de Janeiro State University. The author has contributed to research in topics: Large Hadron Collider & Muon. The author has an hindex of 19, co-authored 21 publications receiving 2050 citations. Previous affiliations of L. Mundim include CERN.

Papers
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Journal ArticleDOI

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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Measurement of the inclusive W and Z production cross sections in pp collisions at √s = 7 TeV with the CMS experiment

S. Chatrchyan, +2250 more
TL;DR: In this paper, a measurement of W and Z production cross sections in pp collisions at 7 TeV is presented, where electron and muon decay channels are analyzed in a data sample collected with the CMS detector at the LHC and corresponding to an integrated luminosity of 36 inverse picobarns.
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Search for resonances in the dijet mass spectrum from 7 TeV pp collisions at CMS

S. Chatrchyan, +2229 more
- 13 Oct 2011 - 
TL;DR: In this article, a search for narrow resonances with a mass of at least 1 TeV in the dijet mass spectrum is performed using pp collisions at root s = 7 TeV corresponding to an integrated luminosity of 1 fb(-1), collected by the CMS experiment at the LHC.
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Search for narrow resonances using the dijet mass spectrum in pp collisions at √s=8 TeV

S. Chatrchyan, +2198 more
- 17 Jun 2013 - 
TL;DR: In this article, the mass limits for the Randall-Sundrum graviton model in the dijet channel were established at the 95% confidence level on the production cross-section of hypothetical new particles decaying to quark-quark, quarkgluon, or gluon-gluon final states.
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Performance of CMS muon reconstruction in cosmic-ray events

S. Chatrchyan, +2469 more
TL;DR: In this article, the performance of high-level trigger, identification, and reconstruction algorithms for a broad range of muon momenta was evaluated using a large data sample of cosmic-ray muons recorded in 2008.