Analysis of heavy-flavour particles in ALICE with the O2 analysis framework

May 18, 2021, 11:42 AM
13m
Short Talk Offline Computing Software

Speaker

Vit Kucera (CERN)

Description

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.
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 1e11 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.
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.

Primary authors

Vit Kucera (CERN) Gian Michele Innocenti (CERN) Francesco Prino (Universita e INFN Torino (IT)) Andrea Rossi (Universita e INFN, Padova (IT)) Jan Fiete Grosse-Oetringhaus (CERN) Nima Zardoshti (University of Birmingham (GB)) Luigi Dello Stritto (Universita e INFN, Salerno (IT)) Chiara Zampolli (CERN) Fabio Catalano (Politecnico e INFN Torino (IT)) Biao Zhang (Central China Normal University CCNU (CN)) Nicolo Jacazio (CERN) Mattia Faggin (Universita e INFN, Padova (IT)) Antonio Palasciano (Universita e INFN, Bari (IT)) Fabio Colamaria (INFN, Sezione di Bari (IT)) Marianna Mazzilli (CERN) Deepa Thomas (University of Texas at Austin (US)) Rik Spijkers (Nikhef National institute for subatomic physics (NL)) Jianhui Zhu (Central China Normal University CCNU (CN)) Henrique Jose Correia Zanoli (Utrecht University (NL))

Presentation materials

Proceedings

Paper