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CERN Accelerating science

Report number LHCb-DP-2018-001 ; LHCB-DP-2018-001 ; arXiv:1803.00824
Title Selection and processing of calibration samples to measure the particle identification performance of the LHCb experiment in Run 2
Author(s) Aaij, Roel (NIKHEF, Amsterdam) ; Anderlini, L. (INFN, Florence) ; Benson, S. (NIKHEF, Amsterdam) ; Cattaneo, Marco (CERN) ; Charpentier, Philippe (CERN) ; Clemencic, Marco (CERN) ; Falabella, Antonio (INFN, Bologna) ; Ferrari, Fabio (INFN, Bologna) ; Fontana, M. (CERN) ; Gligorov, Vladimir Vava (Paris U., VI-VII) ; Hill, Donal ; Humair, Tibaud (Imperial Coll., London) ; Jones, Christopher Robert (Unlisted, US) ; Lupton, Oliver (CERN ; Warwick U.) ; Malde, Sneha (U. Oxford (main)) ; Marin Benito, Carla (Orsay, LAL) ; Matev, Rosen (CERN) ; Pearce, Alex (CERN) ; Poluektov, Anton (Warwick U. ; Aix-Marseille U.) ; Sciascia, Barbara (Frascati) ; Stagni, Federico (CERN) ; Vazquez Gomez, Ricardo (CERN) ; Zhang, Yan-Xi (CERN)
Imprint 2018-03-02
In: EPJ Tech. Instrum. 6 (2019) 1
DOI 10.1140/epjti/s40485-019-0050-z
Subject category hep-ex ; Particle Physics - Experiment
Accelerator/Facility, Experiment CERN LHC ; LHCb
Abstract Since 2015, with the restart of the LHC for its second run of data taking, the LHCb experiment has been empowered with a dedicated computing model to select and analyse calibration samples to measure the performance of the particle identification (PID) detectors and algorithms. The novel technique was developed within the framework of the innovative trigger model of the LHCb experiment, which relies on online event reconstruction for most of the datasets, reserving offline reconstruction to special physics cases. The strategy to select and process the calibration samples, which includes a dedicated data-processing scheme combining online and offline reconstruction, is discussed. The use of the calibration samples to measure the detector PID performance, and the efficiency of PID requirements across a large range of decay channels, is described. Applications of the calibration samples in data-quality monitoring and validation procedures are also detailed.
Copyright/License publication: (License: CC-BY-4.0)
preprint: (License: CC BY 4.0)

Corresponding record in: Inspire

 Záznam vytvorený 2018-03-14, zmenený 2019-10-15

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