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Z. Zinonos

Researcher at University of Cyprus

Publications -  27
Citations -  7024

Z. Zinonos is an academic researcher from University of Cyprus. The author has contributed to research in topics: Cosmic ray & Compact Muon Solenoid. The author has an hindex of 27, co-authored 27 publications receiving 6426 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

Transverse-Momentum and Pseudorapidity Distributions of Charged Hadrons in pp Collisions at root s=7 TeV

Vardan Khachatryan, +2090 more
- 06 Jul 2010 - 
TL;DR: In this article, the authors measured the transverse momentum and pseudorapidity distributions in proton-proton collisions at root s = 7 TeV with the inner tracking system of the CMS detector at the LHC.
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.
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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.