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

by Malde, Sneha , Anderlini, Lucio , Stagni, Federico , Cattaneo, Marco , Ricardo Vazquez Gomez , Zhang, Yanxi , Ferrari, Fabio , Jones, Christopher Robert , Poluektov, Anton , Carla Marin Benito , Sciascia, Barbara , Charpentier, Philippe , Rosen Matev , Hill, Donal , Pearce, Alex , Lupton, Oliver , Benson, Sean , Tibaud Humair , Fontana, Marianna , Aaij, Roel , Clemencic, Marco , Falabella, Antonio , Gligorov, Vladimir Vava

in Algorithms / Calibration / Data processing / Experimental methods / Experiments / Large Hadron Collider / Performance evaluation / Reconstruction

2019

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

in Algorithms / Calibration / Data processing / Experimental methods / Experiments / Large Hadron Collider / Performance evaluation / Reconstruction

2019

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

in Algorithms / Calibration / Data processing / Experimental methods / Experiments / Large Hadron Collider / Performance evaluation / Reconstruction

2019

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Journal Article

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

Malde, Sneha,

Anderlini, Lucio,

Stagni, Federico,

Cattaneo, Marco,

Ricardo Vazquez Gomez,

Zhang, Yanxi,

Ferrari, Fabio,

Jones, Christopher Robert,

Poluektov, Anton,

Carla Marin Benito,

Sciascia, Barbara,

Charpentier, Philippe,

Rosen Matev,

Hill, Donal,

Pearce, Alex,

Lupton, Oliver,

Benson, Sean,

Tibaud Humair,

Fontana, Marianna,

Aaij, Roel,

Clemencic, Marco,

Falabella, Antonio,

Gligorov, Vladimir Vava

2019

Overview

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.

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Publisher

Springer Nature B.V

Subject

Algorithms

/ Calibration

/ Data processing

/ Experimental methods

/ Experiments

/ Large Hadron Collider

/ Performance evaluation