Conferencia

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 "Application of State Quantization-Based Methods in HEP Particle Transport Simulation" (2017) 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016. 898(4)
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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

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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