Physics Data Management Tools for Monte Carlo Transport: Computational Evolutions and Benchmarks

TL;DR

This paper presents a new physics data management package for Monte Carlo transport that enhances computational performance by leveraging modern C++ features and benchmarks its improvements.

Contribution

It introduces a redesigned data management tool for Monte Carlo physics models, utilizing recent C++ evolutions for better performance.

Findings

Improved computational efficiency demonstrated through benchmarks.

Enhanced data management capabilities for Geant4 physics models.

Utilization of C++0x features for better software design.

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.