ATLAS software tools to handle ROOT RNTuple*

The software of the ATLAS experiment at the CERN LHC accelerator contains a number of tools to inspect (validate, summarize, peek into etc.) all its official data formats recorded in ROOT files. These tools — mainly written in the Python programming language — handle the ROOT TTree which is currently the main storage object format of ROOT files. However, the ROOT project has developed a successor to TTree, called RNTuple. The new storage format offers significant improvements and ATLAS plans to adopt it in LHC Run 4. Work is ongoing to enhance the tools in order to handle the RNTuple storage format in addition to TTree in a transparent way for the user. The work is aided by modern and detailed APIs provided by RNTuple. In this paper we present the progress made and lessons learned.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701059
Primary Topic
Particle Detector Development and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

ATLAS software tools to handle ROOT RNTuple*

P. van Gemmeren, A. S. Mete, Marcin Nowak, Grigori Rybkin
EPJ Web of Conferences
Particle Detector Development and Performance
article

ATLAS software tools to handle ROOT RNTuple*

P. van Gemmeren, A. S. Mete, Marcin Nowak, Grigori Rybkin
article en

Abstract

The software of the ATLAS experiment at the CERN LHC accelerator contains a number of tools to inspect (validate, summarize, peek into etc.) all its official data formats recorded in ROOT files. These tools — mainly written in the Python programming language — handle the ROOT TTree which is currently the main storage object format of ROOT files. However, the ROOT project has developed a successor to TTree, called RNTuple. The new storage format offers significant improvements and ATLAS plans to adopt it in LHC Run 4. Work is ongoing to enhance the tools in order to handle the RNTuple storage format in addition to TTree in a transparent way for the user. The work is aided by modern and detailed APIs provided by RNTuple. In this paper we present the progress made and lessons learned.

EPJ Web of ConferencesVol. 337
Argonne National Laboratory (US), Centre National de la Recherche Scientifique (FR), Brookhaven National Laboratory (US), Université Paris-Saclay (FR), Laboratoire de Physique des 2 Infinis Irène Joliot-Curie (FR)
Openalex Percentile: Top 88%
Particle Detector Development and Performance
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