| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 06032 | |
| Number of page(s) | 6 | |
| Section | 6 - Physics Analysis | |
| DOI | https://doi.org/10.1051/epjconf/202024506032 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024506032
Data Analysis using ALICE Run 3 Framework
1
Organisation Européenne pour la Recherche Nucléaire, CERN, Meyrin, Switzerland
2
Bogolyubov Institute for Theoretical Physics of the National Academy of Sciences of Ukraine, Kyiv, 6 Ukraine
3
Warsaw University of Technology, Warsaw, Poland
* e-mail: giulio.eulisse@cern.ch
Published online: 16 November 2020
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.
© The Authors, published by EDP Sciences, 2020
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