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

EPJ Techniques and Instrumentation

Anton Poluektov¹  Marco Clemencic²  Ricardo Vazquez Gomez²  Alex Pearce²  Rosen Matev²  Federico Stagni²  Marco Cattaneo²  Marianna Fontana²  Yanxi Zhang²  Philippe Charpentier²  Oliver Lupton²  Tibaud Humair³  Barbara Sciascia⁴  Fabio Ferrari⁵  Antonio Falabella⁵  Lucio Anderlini⁵  Carla Marin Benito⁶  Roel Aaij⁷  Sean Benson⁷  Christopher Robert Jones⁸  Sneha Malde⁹  Donal Hill⁹  Vladimir Vava Gligorov^1,10 

[1] Aix Marseille Univ, CNRS/IN2P3, CPPM;European Organization for Nuclear Research (CERN);Imperial College London;Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di Frascati;Istituto Nazionale di Fisica Nucleare;LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay;Nikhef;University of Cambridge;University of Oxford;Université Pierre et Marie Curie, Université Paris Diderot, CNRS/IN2P3;

关键词: Experimental methods and data analysis methods;    Data acquisition;    Data analysis methods;   

DOI  :  10.1140/epjti/s40485-019-0050-z

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown