2013
DOI: 10.1140/epjc/s10052-013-2431-9
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Performance of the LHCb RICH detector at the LHC

Abstract: The LHCb experiment has been taking data at the Large Hadron Collider (LHC) at CERN since the end of 2009. One of its key detector components is the Ring-Imaging Cherenkov (RICH) system. This provides charged particle identification over a wide momentum range, from 2–100 GeV/c. The operation and control, software, and online monitoring of the RICH system are described. The particle identification performance is presented, as measured using data from the LHC. Excellent separation of hadronic particle types (π, … Show more

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Cited by 451 publications
(330 citation statements)
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“…The minimum distance of a track to a primary pp collision vertex, the impact parameter, is measured with a resolution of (15 + 29/p T ) µm, where p T is the component of p transverse to the beam, in GeV/c. Different types of charged hadrons are distinguished using information from two ring-imaging Cherenkov detectors [20]. The magnet polarity is reversed regularly to control systematic effects.…”
Section: Detector and Softwarementioning
confidence: 99%
“…The minimum distance of a track to a primary pp collision vertex, the impact parameter, is measured with a resolution of (15 + 29/p T ) µm, where p T is the component of p transverse to the beam, in GeV/c. Different types of charged hadrons are distinguished using information from two ring-imaging Cherenkov detectors [20]. The magnet polarity is reversed regularly to control systematic effects.…”
Section: Detector and Softwarementioning
confidence: 99%
“…The efficiency of the MLP selection is determined from simulation. Large data control samples of D 0 → K − π + , Λ → pπ − and Λ + c → pK − π + decays are employed [27] to determine the efficiency of the PID requirements. All other selection efficiencies, i.e.…”
Section: Jhep04(2017)162mentioning
confidence: 99%
“…The efficiencies of offline selection requirements based on information from the RICH detectors are calculated using a data-driven method based on calibration samples [52] …”
Section: Efficiency Modelingmentioning
confidence: 99%