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Roberto Rossin

Researcher at University of Padua

Publications -  219
Citations -  17310

Roberto Rossin is an academic researcher from University of Padua. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 71, co-authored 219 publications receiving 15815 citations. Previous affiliations of Roberto Rossin include University of Trento & University of Bristol.

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Combined results of searches for the standard model Higgs boson in pp collisions at √s = 7 TeV

S. Chatrchyan, +2247 more
TL;DR: In this article, the authors reported results from searches for the standard model Higgs boson in proton-proton collisions at square root(s) = 7 TeV in five decay modes: gamma pair, b-quark pair, tau lepton pair, W pair, and Z pair.
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

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.
Journal ArticleDOI

Study of the Mass and Spin-Parity of the Higgs Boson Candidate via Its Decays to Z Boson Pairs

S. Chatrchyan, +2195 more
- 21 Feb 2013 - 
TL;DR: The present data are consistent with the pure scalar hypothesis, while disfavoring the pure pseudoscalar hypothesis.
Journal ArticleDOI

Measurement of the Bs0→μ+μ- branching fraction and search for B0→μ+μ- with the CMS experiment

S. Chatrchyan, +2208 more
- 18 Jul 2013 - 
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.