Selection and processing of calibration samples to measure the particle identification performance of the LHCb experiment in Run 2

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 w...

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Bibliographic Details
Published in:arXiv.org 2018-03
Main Authors: Aaij, Roel, Anderlini, Lucio, Benson, Sean, Cattaneo, Marco, Charpentier, Philippe, Clemencic, Marco, Falabella, Antonio, Ferrari, Fabio, Fontana, Marianna, Gligorov, Vladimir, Hill, Donal, Humair, Thibaud, Jones, Christopher Robert, Lupton, Oliver, Malde, Sneha, Carla Marin Benito, Rosen Matev, Pearce, Alex, Poluektov, Anton, Sciascia, Barbara, Stagni, Federico, Ricardo Vazquez Gomez, Zhang, Yanxi
Format: Article
Language:English
Subjects:
Algorithms
Calibration
Data processing
Experiments
Large Hadron Collider
Performance evaluation
Reconstruction
Online Access:Get full text
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Summary: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.
ISSN:2331-8422
DOI:10.48550/arxiv.1803.00824