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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-02-28

AUTHORS

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

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. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1140/epjti/s40485-019-0050-z

DOI

http://dx.doi.org/10.1140/epjti/s40485-019-0050-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1112461113


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12 schema:description 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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20 LHCb experiment
21 PID performance
22 PID requirements
23 Run 2
24 algorithm
25 analyse calibration samples
26 applications
27 calibration samples
28 cases
29 channels
30 computing model
31 data quality monitoring
32 data taking
33 data-processing scheme
34 dataset
35 decay channels
36 dedicated computing model
37 dedicated data-processing scheme
38 detector
39 detector PID performance
40 efficiency
41 event reconstruction
42 experiments
43 framework
44 identification (PID) detectors
45 identification performance
46 innovative trigger model
47 large range
48 model
49 monitoring
50 novel technique
51 offline reconstruction
52 online event reconstruction
53 particle identification detector
54 particle identification performance
55 performance
56 physics case
57 procedure
58 processing
59 range
60 reconstruction
61 requirements
62 restart
63 run
64 samples
65 scheme
66 second run
67 selection
68 special physics cases
69 strategies
70 taking
71 technique
72 trigger model
73 use
74 validation procedure
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