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G. Segneri

Researcher at University of Pisa

Publications -  142
Citations -  25221

G. Segneri is an academic researcher from University of Pisa. The author has contributed to research in topics: Large Hadron Collider & Muon. The author has an hindex of 58, co-authored 142 publications receiving 23837 citations.

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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

The CMS experiment at the CERN LHC

S. Chatrchyan, +3175 more
- 14 Aug 2008 - 
TL;DR: The Compact Muon Solenoid (CMS) detector at the Large Hadron Collider (LHC) at CERN as mentioned in this paper was designed to study proton-proton (and lead-lead) collisions at a centre-of-mass energy of 14 TeV (5.5 TeV nucleon-nucleon) and at luminosities up to 10(34)cm(-2)s(-1)
Journal ArticleDOI

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.
Journal ArticleDOI

Determination of jet energy calibration and transverse momentum resolution in CMS

S. Chatrchyan, +2271 more
- 01 Nov 2011 - 
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.
Journal ArticleDOI

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.