Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 03064 | |
Number of page(s) | 9 | |
Section | Offline Computing | |
DOI | https://doi.org/10.1051/epjconf/202125103064 | |
Published online | 23 August 2021 |
https://doi.org/10.1051/epjconf/202125103064
Analysis of heavy-flavour particles in ALICE with the O2 analysis framework
1 CERN
2 INFN, Torino
3 INFN, Salerno
4 Politecnico Torino
5 Central China Normal University
6 Padua University
7 INFN, Bari
8 The University of Texas at Austin
9 Utrecht University
10 Darmstadt GSI
* e-mail: vit.kucera@cern.ch
Published online: 23 August 2021
Precise measurements of heavy-flavour hadrons down to very low pT represent the core of the physics program of the upgraded ALICE experiment in Run 3 [1]. These physics probes are characterised by a very small signal-to-background ratio requiring very large statistics of minimum-bias events. In Run 3, ALICE is expected to collect up to 13 nb−1 of lead–lead collisions, corresponding to about 1 × 1011 minimum-bias events. In order to analyse this unprecedented amount of data, which is about 100 times larger than the statistics collected in Run 1 and Run 2, the ALICE collaboration is developing a complex analysis framework that aims at maximising the processing speed and data volume reduction [2]. In this paper, the strategy of reconstruction, selection, skimming, and analysis of heavy-flavour events for Run 3 will be presented. Some preliminary results on the reconstruction of charm mesons and baryons will be shown and the prospects for future developments and optimisation discussed.
© The Authors, published by EDP Sciences, 2021
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