A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics
Particle tracking in physical systems is a well known simulation challenge in many domains. In particular, High Energy Physics (HEP) demand efficient simulations of charged particles moving throughout complex detector geometries in a magnetic field. Quantized State Systems (QSS) is a modern family o...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_08917736_v2018-December_n_p1322_Santi |
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todo:paper_08917736_v2018-December_n_p1322_Santi2023-10-03T15:41:24Z A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics Santi, L. Castro, R. Benchmarking Charged particles Energy efficiency Geometrical optics Solenoids Compact Muon solenoids Competitive performance Complex detectors Efficient simulation Hybrid numerical method Particle tracking Physical systems Quantized state systems Numerical methods Particle tracking in physical systems is a well known simulation challenge in many domains. In particular, High Energy Physics (HEP) demand efficient simulations of charged particles moving throughout complex detector geometries in a magnetic field. Quantized State Systems (QSS) is a modern family of hybrid numerical methods that provides attractive performance features for these problems. Its state-of-the-art implementation is the general-purpose QSS Solver toolkit. Meanwhile, Geant4 is the most widely used platform for computational particle physics, embedding vast amounts of physics domain knowledge. Yet, Geant4 relies rigidly on classic discrete time numerical methods. In this work we present a robust co-simulation technique to apply QSS in the simulation of HEP experiments, thus leveraging the best of both toolkits. We obtained speedups of up to three times in synthetic, yet representative scenarios, and a competitive performance in a difficult benchmark modeled after the Compact Muon Solenoid (CMS) particle detector at CERN. © 2018 IEEE CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_08917736_v2018-December_n_p1322_Santi |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Benchmarking Charged particles Energy efficiency Geometrical optics Solenoids Compact Muon solenoids Competitive performance Complex detectors Efficient simulation Hybrid numerical method Particle tracking Physical systems Quantized state systems Numerical methods |
| spellingShingle |
Benchmarking Charged particles Energy efficiency Geometrical optics Solenoids Compact Muon solenoids Competitive performance Complex detectors Efficient simulation Hybrid numerical method Particle tracking Physical systems Quantized state systems Numerical methods Santi, L. Castro, R. A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| topic_facet |
Benchmarking Charged particles Energy efficiency Geometrical optics Solenoids Compact Muon solenoids Competitive performance Complex detectors Efficient simulation Hybrid numerical method Particle tracking Physical systems Quantized state systems Numerical methods |
| description |
Particle tracking in physical systems is a well known simulation challenge in many domains. In particular, High Energy Physics (HEP) demand efficient simulations of charged particles moving throughout complex detector geometries in a magnetic field. Quantized State Systems (QSS) is a modern family of hybrid numerical methods that provides attractive performance features for these problems. Its state-of-the-art implementation is the general-purpose QSS Solver toolkit. Meanwhile, Geant4 is the most widely used platform for computational particle physics, embedding vast amounts of physics domain knowledge. Yet, Geant4 relies rigidly on classic discrete time numerical methods. In this work we present a robust co-simulation technique to apply QSS in the simulation of HEP experiments, thus leveraging the best of both toolkits. We obtained speedups of up to three times in synthetic, yet representative scenarios, and a competitive performance in a difficult benchmark modeled after the Compact Muon Solenoid (CMS) particle detector at CERN. © 2018 IEEE |
| format |
CONF |
| author |
Santi, L. Castro, R. |
| author_facet |
Santi, L. Castro, R. |
| author_sort |
Santi, L. |
| title |
A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| title_short |
A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| title_full |
A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| title_fullStr |
A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| title_full_unstemmed |
A Co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| title_sort |
co-simulation technique for efficient particle tracking using hybrid numerical methods with application in high energy physics |
| url |
http://hdl.handle.net/20.500.12110/paper_08917736_v2018-December_n_p1322_Santi |
| work_keys_str_mv |
AT santil acosimulationtechniqueforefficientparticletrackingusinghybridnumericalmethodswithapplicationinhighenergyphysics AT castror acosimulationtechniqueforefficientparticletrackingusinghybridnumericalmethodswithapplicationinhighenergyphysics AT santil cosimulationtechniqueforefficientparticletrackingusinghybridnumericalmethodswithapplicationinhighenergyphysics AT castror cosimulationtechniqueforefficientparticletrackingusinghybridnumericalmethodswithapplicationinhighenergyphysics |
| _version_ |
1782025031303299072 |