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G

G. Stefanini

Researcher at CERN

Publications -  26
Citations -  9021

G. Stefanini is an academic researcher from CERN. The author has contributed to research in topics: Time projection chamber & Detector. The author has an hindex of 11, co-authored 26 publications receiving 8234 citations. Previous affiliations of G. Stefanini include Autonomous University of Madrid & Lund University.

Papers
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The CMS experiment at the CERN LHC

S. Chatrchyan, +3175 more
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)
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The ALICE experiment at the CERN LHC

K. Aamodt, +1154 more
TL;DR: The Large Ion Collider Experiment (ALICE) as discussed by the authors is a general-purpose, heavy-ion detector at the CERN LHC which focuses on QCD, the strong-interaction sector of the Standard Model.
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ALICE: Physics Performance Report, Volume II

Pietro Cortese, +978 more
- 13 Sep 2006 - 
TL;DR: The ALICE Collaboration as mentioned in this paper is a general-purpose heavy-ion experiment designed to study the physics of strongly interacting matter and the quark-gluon plasma in nucleus-nucleus collisions at the LHC.
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Suppression of charged particle production at large transverse momentum in central Pb–Pb collisions at sNN=2.76 TeV

K. Aamodt, +912 more
- 24 Jan 2011 - 
TL;DR: In this article, the authors measured the transverse momentum spectra of primary charged particles in Pb-Pb collisions at root s(NN) = 2.76 TeV at the ALICE Collaboration at the LHC.
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Aleph: a detector for electron-positron annihilations at Lep

D. Decamp, +474 more
TL;DR: This paper presents a solution to support strategic processes in a PSEE by providing a flexible guidance during process enactment and shows that supporting processes is more concerned with the flexibility of guidance offered during the process performance than with enforcement of a collection of predefined process models.