@article{santi_application_2017,
title = {Application of State Quantization-Based Methods in HEP Particle Transport Simulation},
author = {Lucio Santi and Nicolás Ponieman and Soon Yung Jun and Krzysztof Genser and Daniel Elvira and Rodrigo Castro},
doi = {10.1088/1742-6596/898/4/042049},
issn = {17426596},
year = {2017},
date = {2017-01-01},
journal = {Journal of Physics: Conference Series},
volume = {898},
number = {4},
abstract = {Simulation of particle-matter interactions in complex geometries is one of the main tasks in high energy physics (HEP) research. An essential aspect of it is an accurate and efficient particle transportation in a non-uniform magnetic field, which includes the handling of volume crossings within a predefined 3D geometry. Quantized State Systems (QSS) is a family of numerical methods that provides attractive features for particle transportation processes, such as dense output (sequences of polynomial segments changing only according to accuracy-driven discrete events) and lightweight detection and handling of volume crossings (based on simple root-finding of polynomial functions). In this work we present a proof-of-concept performance comparison between a QSS-based standalone numerical solver and an application based on the Geant4 simulation toolkit, with its default Runge-Kutta based adaptive step method. In a case study with a charged particle circulating in a vacuum (with interactions with matter turned off), in a uniform magnetic field, and crossing up to 200 volume boundaries twice per turn, simulation results showed speedups of up to 6 times in favor of QSS while it being 10 times slower in the case with zero volume boundaries.},
note = {Publisher: Institute of Physics Publishing},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
