Physics data management tools: computational evolutions and benchmarks
Mincheol Han (1), Chan-Hyeung Kim (1), Lorenzo Moneta (2), Maria, Grazia Pia (3), Hee Seo (1) ((1) Hanyang University, (2) CERN, (3) INFN, Sezione di Genova)

TL;DR
This paper presents a new physics data management package that enhances computational performance by leveraging recent C++ standards, with detailed design, implementation, and benchmarking results.
Contribution
It introduces a novel physics data management tool that utilizes modern C++ features to improve performance over previous versions.
Findings
Enhanced computational efficiency demonstrated in benchmarks
Successful integration of C++0x features into data management tools
Improved performance over earlier implementations
Abstract
The development of a package for the management of physics data is described: its design, implementation and computational benchmarks. This package improves the data management tools originally developed for Geant4 physics models based on the EADL, EEDL and EPDL97 data libraries. The implementation exploits recent evolutions of the C++ libraries appearing in the C++0x draft, which are intended for inclusion in the next C++ ISO Standard. The new tools improve the computational performance of physics data management.
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Taxonomy
TopicsParticle Detector Development and Performance · Particle physics theoretical and experimental studies · Advanced Data Storage Technologies
