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F. Drouhin

Researcher at University of Strasbourg

Publications -  67
Citations -  11240

F. Drouhin is an academic researcher from University of Strasbourg. The author has contributed to research in topics: Large Hadron Collider & Standard Model. The author has an hindex of 40, co-authored 67 publications receiving 10528 citations. Previous affiliations of F. Drouhin include Brandenburg University of Technology & University of Upper Alsace.

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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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.
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CMS physics technical design report: Addendum on high density QCD with heavy ions

David D'Enterria, +2188 more
- 01 Nov 2007 - 
TL;DR: In this paper, the capabilities of the CERN Large Hadron Collider (LHC) experiment to explore the rich heavy-ion physics program offered by the LHC are presented, and the potential of the CMS experiment to carry out a series of representative Pb-Pb measurements.
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Study of the Mass and Spin-Parity of the Higgs Boson Candidate via Its Decays to Z Boson Pairs

S. Chatrchyan, +2195 more
TL;DR: The present data are consistent with the pure scalar hypothesis, while disfavoring the pure pseudoscalar hypothesis.
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Measurement of the Bs0→μ+μ- branching fraction and search for B0→μ+μ- with the CMS experiment

S. Chatrchyan, +2208 more
TL;DR: An unbinned maximum-likelihood fit to the dimuon invariant mass distribution gives a branching fraction B(Bs(0)→μ+ μ-)=(3.0(-0.9)(+1.0))×10(-9), where the uncertainty includes both statistical and systematic contributions.