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Gérald Grenier

Researcher at Claude Bernard University Lyon 1

Publications -  239
Citations -  11561

Gérald Grenier is an academic researcher from Claude Bernard University Lyon 1. The author has contributed to research in topics: Large Hadron Collider & Lepton. The author has an hindex of 50, co-authored 238 publications receiving 9503 citations. Previous affiliations of Gérald Grenier include Université libre de Bruxelles.

Papers
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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.
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Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV

Albert M. Sirunyan, +2241 more
- 08 May 2018 - 
TL;DR: In this paper, the discriminating variables and the algorithms used for heavy-flavour jet identification during the first years of operation of the CMS experiment in proton-proton collisions at a centre-of-mass energy of 13 TeV, are presented.
Journal ArticleDOI

Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at s=13 TeV

Albert M. Sirunyan, +2358 more
- 19 Jun 2018 - 
TL;DR: In this paper, the performance of the modified system is studied using proton-proton collision data at center-of-mass energy √s=13 TeV, collected at the LHC in 2015 and 2016.
Journal ArticleDOI

Evidence for collectivity in pp collisions at the LHC

Vardan Khachatryan, +2276 more
- 10 Feb 2017 - 
TL;DR: In this article, the second-order and third-order azimuthal anisotropy harmonics of unidentified charged particles, as well as v2v2 of View the MathML sourceKS0 and ViewTheMathML sourceΛ/Λ ǫ particles, are extracted from long-range two-particle correlations as functions of particle multiplicity and transverse momentum.
Journal ArticleDOI

Extraction and validation of a new set of CMS pythia8 tunes from underlying-event measurements

Albert M. Sirunyan, +2251 more
- 03 Jan 2020 - 
TL;DR: For the first time, predictions from pythia8 obtained with tunes based on NLO or NNLO PDFs are shown to reliably describe minimum-bias and underlying-event data with a similar level of agreement to predictions from tunes using LO PDF sets.