info:eu-repo/semantics/article
Application of State Quantization-Based Methods in HEP Particle Transport Simulation
Fecha
2017-11Registro en:
Santi, Lucio Emilio; Ponieman, Nicolás; Jun, Soon Yung; Genser, Krzysztof; Elvira, Daniel; et al.; Application of State Quantization-Based Methods in HEP Particle Transport Simulation; Institute of Physics Publishing; Journal of Physics: Conference Series; 898; 4; 11-2017; 42-49
1742-6596
CONICET Digital
CONICET
Autor
Santi, Lucio Emilio
Ponieman, Nicolás
Jun, Soon Yung
Genser, Krzysztof
Elvira, Daniel
Castro, Rodrigo Daniel
Resumen
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.