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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | EPJ Web of Conferences |
| Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06032.pdf |
| _version_ | 1818690743043096576 |
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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 | DOAJ |
| 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. |
| first_indexed | 2024-12-17T12:30:51Z |
| format | Article |
| id | doaj.art-471bdb7738064537aaab46d3c3d761ee |
| institution | Directory Open Access Journal |
| issn | 2100-014X |
| language | English |
| last_indexed | 2024-12-17T12:30:51Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | EPJ Web of Conferences |
| spelling | doaj.art-471bdb7738064537aaab46d3c3d761ee2022-12-21T21:48:34ZengEDP SciencesEPJ Web of Conferences2100-014X2020-01-012450603210.1051/epjconf/202024506032epjconf_chep2020_06032Data Analysis using ALICE Run 3 FrameworkEulisse Giulio0Alkin Anton1Grosse-Oetringhaus Jan Fiete2Hristov PeterInnocenti Gian Michele3Kabus Maja Jadwiga4Organisation Européenne pour la Recherche Nucléaire, CERNBogolyubov Institute for Theoretical Physics of the National Academy of Sciences of UkraineOrganisation Européenne pour la Recherche Nucléaire, CERNOrganisation Européenne pour la Recherche Nucléaire, CERNWarsaw University of TechnologyThe 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.https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06032.pdf |
| spellingShingle | Eulisse Giulio Alkin Anton Grosse-Oetringhaus Jan Fiete Hristov Peter Innocenti Gian Michele Kabus Maja Jadwiga Data Analysis using ALICE Run 3 Framework EPJ Web of Conferences |
| 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 |
| url | https://www.epj-conferences.org/articles/epjconf/pdf/2020/21/epjconf_chep2020_06032.pdf |
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