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R. Magaña Villalba

Researcher at CINVESTAV

Publications -  281
Citations -  33812

R. Magaña Villalba is an academic researcher from CINVESTAV. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 88, co-authored 280 publications receiving 31895 citations. Previous affiliations of R. Magaña Villalba include Vilnius University & University of California, Santa Barbara.

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.
Journal ArticleDOI

Particle-flow reconstruction and global event description with the CMS detector

Albert M. Sirunyan, +2215 more
- 06 Oct 2017 - 
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.
Journal ArticleDOI

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

S. Chatrchyan, +2247 more
- 19 Mar 2013 - 
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.
Journal ArticleDOI

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.
Journal ArticleDOI

Performance of CMS muon reconstruction in pp collision events at sqrt(s) = 7 TeV

S. Chatrchyan, +2345 more
- 01 Oct 2012 - 
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.