| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01007 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701007 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701007
Distributed Analysis in Production with RDataFrame
1 CERN, Esplanade des Particules 1, 1211 Geneva 23, Switzerland
2 Berea College, 101 Chestnut St, Berea, KY 40403, USA
* e-mail: marta.maja.czurylo@cern.ch
Published online: 7 October 2025
The ROOT software package provides the data format used in High Energy Physics by the LHC experiments. ROOT offers a data analysis interface called RDataFrame, which has proven to adapt well to the requirements of modern physics analyses. However, with the increasing data collected by the LHC experiments, the challenge to perform an efficient analysis expands. One of the solutions to ease this challenge is the leverage of modern high-performing distributed computing environments, for which RDataFrame provides an easy-to-use interface layer - the distributed RDataFrame.
In this paper, we show that the distributed RDataFrame is out of the experimental testing phase, and it is now ready for production thanks to a stabilized user interface. We delve into recent improvements of the distributed RDataFrame, including memory management, C++ code inclusion, and Pythonizations of the interface that allow running the workflows seamlessly. This includes running the distributed RDataFrame on various Analysis Facilities, which is discussed towards the end of the paper.
© The Authors, published by EDP Sciences, 2025
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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