Demonstrates improved data storage and processing in high-energy and nuclear physics workflows using RNTuple, highlighting its implications.
With the expected data volume increase for HL-LHC and the even more complex computing challenges set by future colliders, the need for efficient data storage and processing becomes more pressing. ROOT’s next-generation data format and I/O subsystem, RNTT<ns0:sc>uple</ns0:sc>, is designed to address these challenges. RNTT<ns0:sc>uple</ns0:sc> already demonstrates a clear improvement in storage and I/O efficiency, as well as overall stability and robustness with respect to its predecessor, TTT<ns0:sc>ree</ns0:sc>. These improvements provide a solid baseline to introduce novel extensions to common high-energy and nuclear physics (HENP) workflows. Notably, many workflows could benefit from the ability to arbitrarily join and chain data set samples at runtime, which could reduce overall storage requirements and improve application runtime and ergonomics. In this paper, we present the RNT<ns0:sc>uple</ns0:sc>P<ns0:sc>rocessor</ns0:sc>, which enables HENP data set combinations with RNT<ns0:sc>uple</ns0:sc>. We will discuss the main design considerations, present the interfaces to support data set combinations and show how they integrate in typical workflows.
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Geus et al. (2025) studied this question.
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