ROOT RNTuple implementation in Julia programming language

RNTuple is the upcoming primary data storage solution at the Large Hadron Collider (LHC) experiments and other high-energy physics (HEP) experiments going forward. Aside from many technical upgrades from the TTree object, RNTuple also is the first time .root file committed to specification.[1] In this paper we present the latest development in UnROOT.jl that enables both the reading and writing of complex table-like data structures in Julia with RN-Tuple. At the moment this is the most complete 3rd party libraries that can read and write RNTuple data outside of C++ ROOT.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701154
Primary Topic
Parallel Computing and Optimization Techniques
Type
article
Field-Weighted Citation Impact
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article

ROOT RNTuple implementation in Julia programming language

Jerry Ling, T. Gal
EPJ Web of Conferences
Parallel Computing and Optimization Techniques
article

ROOT RNTuple implementation in Julia programming language

Jerry Ling, T. Gal
article en

Abstract

RNTuple is the upcoming primary data storage solution at the Large Hadron Collider (LHC) experiments and other high-energy physics (HEP) experiments going forward. Aside from many technical upgrades from the TTree object, RNTuple also is the first time .root file committed to specification.[1] In this paper we present the latest development in UnROOT.jl that enables both the reading and writing of complex table-like data structures in Julia with RN-Tuple. At the moment this is the most complete 3rd party libraries that can read and write RNTuple data outside of C++ ROOT.

EPJ Web of ConferencesVol. 337
Harvard University Press (US), Universitätsklinikum Erlangen (DE)
Openalex Percentile: Top 70%
Parallel Computing and Optimization Techniques
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