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. © Published under licence by IOP Publishing Ltd.
Registro:
Documento: |
Conferencia
|
Título: | Application of State Quantization-Based Methods in HEP Particle Transport Simulation |
Autor: | Santi, L.; Ponieman, N.; Jun, S.Y.; Genser, K.; Elvira, D.; Castro, R.; Cisco; Dell; et al.; Hewlett Packard Enterprise; Hitachi Data Systems/Brocade; Pacific Northwest National Laboratory |
Filiación: | Department of Computer Science, FCEN, University of Buenos Aires, Argentina ICC-CONICET, Argentina Fermi National Accelerator Laboratory and Dagger, PO Box 500, Batavia, IL 60510, United States
|
Palabras clave: | 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 |
Año: | 2017
|
Volumen: | 898
|
Número: | 4
|
DOI: |
http://dx.doi.org/10.1088/1742-6596/898/4/042049 |
Título revista: | 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016
|
Título revista abreviado: | J. Phys. Conf. Ser.
|
ISSN: | 17426588
|
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v898_n4_p_Santi |
Referencias:
- Hairer, E., Nørsett, S., Wanner, G., (1987) Solving Ordinary Differential Equations i - Nonstiff Problems
- Allison, J., (2016) Nuclear Instruments and Methods A, 835, pp. 186-225
- Cellier, F.E., Kofman, E., (2006) Continuous System Simulation, , (Secaucus, NJ, USA: Springer-Verlag New York, Inc.) ISBN: 0387261028
- Cockburn, B., Shu, C.W., (1998) Journal of Computational Physics, 141 (2), pp. 199-224
- Kofman, E., Junco, S., (2001) Transactions of SCS, 18, pp. 123-132
- Kofman, E., (2004) SIAM Journal on Scientific Computing, 25 (5), pp. 1771-1797
- Fernández, J., Kofman, E., (2013) Proc. of RPIC 2013, , (Bariloche, Argentina)
- Bergero, F., Floros, X., Fernandez, J., Kofman, E., Cellier, F.E., (2012) 9th Int. Modelica Conference, Munich Germany
- Fritzson, P., (2004) Principles of Object-Oriented Modeling and Simulation with Modelica 2.1, , (New York: Wiley-Interscience)
- Ponieman, N., Aplicación de Métodos de Integración Por Cuantificacion Al Simulador de Partículas Geant4 (2015) Universidad de Buenos Aires, , Master's thesis Facultad de Ciencias Exactas y Naturales
- Kofman, E., (2006) Latin American Applied Research, 36, pp. 101-108A4 - Cisco; Dell; et al.; Hewlett Packard Enterprise; Hitachi Data Systems/Brocade; Pacific Northwest National Laboratory
Citas:
---------- APA ----------
Santi, L., Ponieman, N., Jun, S.Y., Genser, K., Elvira, D., Castro, R. & Cisco; Dell; et al.; Hewlett Packard Enterprise; Hitachi Data Systems/Brocade; Pacific Northwest National Laboratory
(2017)
. Application of State Quantization-Based Methods in HEP Particle Transport Simulation. 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, 898(4).
http://dx.doi.org/10.1088/1742-6596/898/4/042049---------- CHICAGO ----------
Santi, L., Ponieman, N., Jun, S.Y., Genser, K., Elvira, D., Castro, R., et al.
"Application of State Quantization-Based Methods in HEP Particle Transport Simulation"
. 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016 898, no. 4
(2017).
http://dx.doi.org/10.1088/1742-6596/898/4/042049---------- MLA ----------
Santi, L., Ponieman, N., Jun, S.Y., Genser, K., Elvira, D., Castro, R., et al.
"Application of State Quantization-Based Methods in HEP Particle Transport Simulation"
. 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, vol. 898, no. 4, 2017.
http://dx.doi.org/10.1088/1742-6596/898/4/042049---------- VANCOUVER ----------
Santi, L., Ponieman, N., Jun, S.Y., Genser, K., Elvira, D., Castro, R., et al. Application of State Quantization-Based Methods in HEP Particle Transport Simulation. J. Phys. Conf. Ser. 2017;898(4).
http://dx.doi.org/10.1088/1742-6596/898/4/042049