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Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework
Precise measurements of heavy-flavour hadrons down to very low $p$$_{T}$ represent the core of the physics program of the upgraded ALICE experiment in Run 3. These physics probes are characterised by a very small signal-to-background ratio requiring very large statistics of minimum-bias events. In R...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Lenguaje: | eng |
Publicado: |
2021
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1051/epjconf/202125103064 http://cds.cern.ch/record/2813804 |
_version_ | 1780973421078773760 |
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author | Kučera, Vít Innocenti, Gian Michele Prino, Francesco Rossi, Andrea Grosse-Oetringhaus, Jan Fiete Zardoshti, Nima Stritto, Luigi Dello Zampolli, Chiara Catalano, Fabio Zhang, Biao Jacazio, Nicolo Faggin, Mattia Palasciano, Antonio Colamaria, Fabio Mazzilli, Marianna Thomas, Deepa Spijkers, Rik Zhu, Jianhui Zanoli, Henrique |
author_facet | Kučera, Vít Innocenti, Gian Michele Prino, Francesco Rossi, Andrea Grosse-Oetringhaus, Jan Fiete Zardoshti, Nima Stritto, Luigi Dello Zampolli, Chiara Catalano, Fabio Zhang, Biao Jacazio, Nicolo Faggin, Mattia Palasciano, Antonio Colamaria, Fabio Mazzilli, Marianna Thomas, Deepa Spijkers, Rik Zhu, Jianhui Zanoli, Henrique |
author_sort | Kučera, Vít |
collection | CERN |
description | Precise measurements of heavy-flavour hadrons down to very low $p$$_{T}$ 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 1 × 10$^{11}$ 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. |
id | cern-2813804 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2021 |
record_format | invenio |
spelling | cern-28138042022-08-17T18:42:18Zdoi:10.1051/epjconf/202125103064http://cds.cern.ch/record/2813804engKučera, VítInnocenti, Gian MichelePrino, FrancescoRossi, AndreaGrosse-Oetringhaus, Jan FieteZardoshti, NimaStritto, Luigi DelloZampolli, ChiaraCatalano, FabioZhang, BiaoJacazio, NicoloFaggin, MattiaPalasciano, AntonioColamaria, FabioMazzilli, MariannaThomas, DeepaSpijkers, RikZhu, JianhuiZanoli, HenriqueAnalysis of heavy-flavour particles in ALICE with the O$^2$ analysis frameworkComputing and ComputersPrecise measurements of heavy-flavour hadrons down to very low $p$$_{T}$ 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 1 × 10$^{11}$ 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.oai:cds.cern.ch:28138042021 |
spellingShingle | Computing and Computers Kučera, Vít Innocenti, Gian Michele Prino, Francesco Rossi, Andrea Grosse-Oetringhaus, Jan Fiete Zardoshti, Nima Stritto, Luigi Dello Zampolli, Chiara Catalano, Fabio Zhang, Biao Jacazio, Nicolo Faggin, Mattia Palasciano, Antonio Colamaria, Fabio Mazzilli, Marianna Thomas, Deepa Spijkers, Rik Zhu, Jianhui Zanoli, Henrique Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title | Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title_full | Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title_fullStr | Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title_full_unstemmed | Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title_short | Analysis of heavy-flavour particles in ALICE with the O$^2$ analysis framework |
title_sort | analysis of heavy-flavour particles in alice with the o$^2$ analysis framework |
topic | Computing and Computers |
url | https://dx.doi.org/10.1051/epjconf/202125103064 http://cds.cern.ch/record/2813804 |
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