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G

G. Papagni

Researcher at Tata Institute of Fundamental Research

Publications -  26
Citations -  6590

G. Papagni is an academic researcher from Tata Institute of Fundamental Research. The author has contributed to research in topics: Cosmic ray & Compact Muon Solenoid. The author has an hindex of 25, co-authored 25 publications receiving 6017 citations.

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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

The Performance of the CMS Muon Detector in Proton-Proton Collisions at $\sqrt{s}$ = 7 TeV at the LHC

S. Chatrchyan, +2236 more
- 28 Jun 2013 - 
TL;DR: In this paper, the performance of all subsystems of the CMS muon detector has been studied by using a sample of proton-proton collision data at √s = 7 TeV collected at the LHC in 2010 that corresponds to an integrated luminosity of approximately 40 pb-1.
Journal ArticleDOI

Performance of CMS muon reconstruction in cosmic-ray events

S. Chatrchyan, +2469 more
- 01 Dec 2010 - 
TL;DR: In this article, the performance of high-level trigger, identification, and reconstruction algorithms for a broad range of muon momenta was evaluated using a large data sample of cosmic-ray muons recorded in 2008.
Journal ArticleDOI

Performance and operation of the CMS electromagnetic calorimeter

S. Chatrchyan, +2469 more
- 01 Dec 2010 - 
TL;DR: In this article, the operation and general performance of the CMS electromagnetic calorimeter using cosmic-ray muons are described and the stability of crucial operational parameters, such as high voltage, temperature and electronic noise, is summarised and the performance of light monitoring system is presented.
Journal ArticleDOI

Identification and filtering of uncharacteristic noise in the CMS hadron calorimeter

S. Chatrchyan, +2464 more
- 01 Dec 2010 - 
TL;DR: In this paper, noise rejection algorithms are applied to LHC collision data at the trigger level or in the offline analysis to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the physics trigger operation.