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D. Dattola

Researcher at University of Eastern Piedmont

Publications -  45
Citations -  2528

D. Dattola is an academic researcher from University of Eastern Piedmont. The author has contributed to research in topics: Large Hadron Collider & Compact Muon Solenoid. The author has an hindex of 30, co-authored 43 publications receiving 2410 citations.

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

Albert M. Sirunyan, +2358 more
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.
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The FP420 R&D Project: Higgs and New Physics with Forward Protons at the LHC

M. G. Albrow, +98 more
TL;DR: The FP420 project as discussed by the authors has been studying the key aspects of the development and installation of a silicon tracker and fast-timing detectors in the LHC tunnel at 420 m from the interaction points of the ATLAS and CMS experiments.
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The Performance of the CMS Muon Detector in Proton-Proton Collisions at $\sqrt{s}$ = 7 TeV at the LHC

S. Chatrchyan, +2236 more
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.
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Search for long-lived charged particles in proton-proton collisions at √s = 13 TeV

Vardan Khachatryan, +2244 more
- 27 Sep 2016 - 
TL;DR: In this paper, a search for heavy stable charged particles produced in proton-proton collisions at √s = 13 TeV using a data sample corresponding to an integrated luminosity of 2.5 fb^(-1) collected in 2015 with the CMS detector at the CERN LHC was conducted using signatures of anomalously high energy deposits in the silicon tracker and long time-of-flight measurements by the muon system.
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Performance of CMS muon reconstruction in cosmic-ray events

S. Chatrchyan, +2469 more
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.