https://doi.org/10.1140/epjc/s10052-025-15108-7
Regular Article - Computing, Software and Data Science
Rapid event extraction and tensorial event adaption
Libraries for efficient access and generic reweighting of parton-level events and their implementation in the MadtRex module
1
CERN, Esplanade des Particules 1, 1211, Geneva, Switzerland
2
MBI (HEPHY), ÖAW, Dominikanerbastei 16, 1010, Vienna, Austria
a
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Received:
10
October
2025
Accepted:
21
November
2025
Published online:
21
December
2025
Abstract
We present Rex and teaRex, C++17 libraries for efficient management of parton-level hard scattering event information and completely generic reweighting of such events, respectively. Rex is primarily an interfacing and I/O library for Les Houches Event format files and provides an internal event format designed with data parallelism in mind, and teaRex extends this format to provide full parton-level reweighting functionality with minimal code needing to be written by the end user. These libraries serve as the foundation for the MadtRex reweighting module for MadGraph5_aMC@NLO, extending the functionality of the CUDACPP plugin to allow for data-parallel model-generic leading order parameter reweighting with on-CPU hardware acceleration and GPU offloading, speeding up reweighting by more than two orders of magnitude compared to MadGraph5_aMC@NLO running on the exact same hardware while providing trivial scalability to larger and distributed systems.
© The Author(s) 2025
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