Data Analysis using ALICE Run 3 Framework

The ALICE Experiment is currently undergoing a major upgrade program, both in terms of hardware and software, to prepare for the LHC Run 3. A new Software Framework is being developed in collaboration with the FAIR experiments at GSI to cope with the 100-fold increase in the number of recorded event...

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Detalles Bibliográficos
Autores principales: Eulisse, Giulio, Alkin, Anton, Grosse-Oetringhaus, Jan Fiete, Hristov, Peter, Innocenti, Gian Michele, Kabus, Maja Jadwiga
Lenguaje:eng
Publicado: 2020
Materias:
Particle Physics - Experiment
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024506032
http://cds.cern.ch/record/2752191
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author Eulisse, Giulio
Alkin, Anton
Grosse-Oetringhaus, Jan Fiete
Hristov, Peter
Innocenti, Gian Michele
Kabus, Maja Jadwiga
author_facet Eulisse, Giulio
Alkin, Anton
Grosse-Oetringhaus, Jan Fiete
Hristov, Peter
Innocenti, Gian Michele
Kabus, Maja Jadwiga
author_sort Eulisse, Giulio
collection CERN
description The ALICE Experiment is currently undergoing a major upgrade program, both in terms of hardware and software, to prepare for the LHC Run 3. A new Software Framework is being developed in collaboration with the FAIR experiments at GSI to cope with the 100-fold increase in the number of recorded events. We present our progress to adapt such a framework for the end user physics data analysis. In particular, the design and technology choices are highlighted. How Apache Arrow is adopted as the platform for the in-memory analysis data layout is discussed. The benefits of this solution are illustrated, these include: efficient and parallel data processing, interoperability with a large number of analysis tools and ecosystems, integration with the modern ROOT declarative analysis framework RDataFrame.
id oai-inspirehep.net-1832226
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
record_format invenio
spelling oai-inspirehep.net-18322262021-02-18T19:23:10Zdoi:10.1051/epjconf/202024506032http://cds.cern.ch/record/2752191engEulisse, GiulioAlkin, AntonGrosse-Oetringhaus, Jan FieteHristov, PeterInnocenti, Gian MicheleKabus, Maja JadwigaData Analysis using ALICE Run 3 FrameworkParticle Physics - ExperimentComputing and ComputersThe ALICE Experiment is currently undergoing a major upgrade program, both in terms of hardware and software, to prepare for the LHC Run 3. A new Software Framework is being developed in collaboration with the FAIR experiments at GSI to cope with the 100-fold increase in the number of recorded events. We present our progress to adapt such a framework for the end user physics data analysis. In particular, the design and technology choices are highlighted. How Apache Arrow is adopted as the platform for the in-memory analysis data layout is discussed. The benefits of this solution are illustrated, these include: efficient and parallel data processing, interoperability with a large number of analysis tools and ecosystems, integration with the modern ROOT declarative analysis framework RDataFrame.oai:inspirehep.net:18322262020
spellingShingle Particle Physics - Experiment
Computing and Computers
Eulisse, Giulio
Alkin, Anton
Grosse-Oetringhaus, Jan Fiete
Hristov, Peter
Innocenti, Gian Michele
Kabus, Maja Jadwiga
Data Analysis using ALICE Run 3 Framework
title Data Analysis using ALICE Run 3 Framework
title_full Data Analysis using ALICE Run 3 Framework
title_fullStr Data Analysis using ALICE Run 3 Framework
title_full_unstemmed Data Analysis using ALICE Run 3 Framework
title_short Data Analysis using ALICE Run 3 Framework
title_sort data analysis using alice run 3 framework
topic Particle Physics - Experiment
Computing and Computers
url https://dx.doi.org/10.1051/epjconf/202024506032
http://cds.cern.ch/record/2752191
work_keys_str_mv AT eulissegiulio dataanalysisusingalicerun3framework
AT alkinanton dataanalysisusingalicerun3framework
AT grosseoetringhausjanfiete dataanalysisusingalicerun3framework
AT hristovpeter dataanalysisusingalicerun3framework
AT innocentigianmichele dataanalysisusingalicerun3framework
AT kabusmajajadwiga dataanalysisusingalicerun3framework

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