EPJ Web Conf.
Volume 245, 202024th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|Number of page(s)||6|
|Section||6 - Physics Analysis|
|Published online||16 November 2020|
Data Analysis using ALICE Run 3 Framework
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: email@example.com
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
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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