Application of State Quantization-Based Methods in HEP Particle Transport Simulation
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 pr...
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2017
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| Acceso en línea: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v898_n4_p_Santi http://hdl.handle.net/20.500.12110/paper_17426588_v898_n4_p_Santi |
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paper:paper_17426588_v898_n4_p_Santi2023-06-08T16:27:48Z Application of State Quantization-Based Methods in HEP Particle Transport Simulation Charged particles Magnetic fields Numerical methods Runge Kutta methods Transportation Geant4 simulation toolkit Nonuniform magnetic fields Particle transportation Particle-matter interactions Performance comparison Quantization-based methods Quantized state systems Uniform magnetic fields High energy physics 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. © Published under licence by IOP Publishing Ltd. 2017 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v898_n4_p_Santi http://hdl.handle.net/20.500.12110/paper_17426588_v898_n4_p_Santi |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
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Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Charged particles Magnetic fields Numerical methods Runge Kutta methods Transportation Geant4 simulation toolkit Nonuniform magnetic fields Particle transportation Particle-matter interactions Performance comparison Quantization-based methods Quantized state systems Uniform magnetic fields High energy physics |
| spellingShingle |
Charged particles Magnetic fields Numerical methods Runge Kutta methods Transportation Geant4 simulation toolkit Nonuniform magnetic fields Particle transportation Particle-matter interactions Performance comparison Quantization-based methods Quantized state systems Uniform magnetic fields High energy physics Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| topic_facet |
Charged particles Magnetic fields Numerical methods Runge Kutta methods Transportation Geant4 simulation toolkit Nonuniform magnetic fields Particle transportation Particle-matter interactions Performance comparison Quantization-based methods Quantized state systems Uniform magnetic fields High energy physics |
| description |
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. © Published under licence by IOP Publishing Ltd. |
| title |
Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| title_short |
Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| title_full |
Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| title_fullStr |
Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| title_full_unstemmed |
Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
| title_sort |
application of state quantization-based methods in hep particle transport simulation |
| publishDate |
2017 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v898_n4_p_Santi http://hdl.handle.net/20.500.12110/paper_17426588_v898_n4_p_Santi |
| _version_ |
1768544795683192832 |