dc.creatorSanti, Lucio Emilio
dc.creatorPonieman, Nicolás
dc.creatorJun, Soon Yung
dc.creatorGenser, Krzysztof
dc.creatorElvira, Daniel
dc.creatorCastro, Rodrigo Daniel
dc.date.accessioned2018-12-20T18:37:00Z
dc.date.accessioned2022-10-15T16:15:38Z
dc.date.available2018-12-20T18:37:00Z
dc.date.available2022-10-15T16:15:38Z
dc.date.created2018-12-20T18:37:00Z
dc.date.issued2017-11
dc.identifierSanti, 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
dc.identifier1742-6596
dc.identifierhttp://hdl.handle.net/11336/66855
dc.identifierCONICET Digital
dc.identifierCONICET
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4407882
dc.description.abstractSimulation 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.
dc.languageeng
dc.publisherInstitute of Physics Publishing
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/https://dx.doi.org/10.1088/1742-6596/898/4/042049
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://iopscience.iop.org/article/10.1088/1742-6596/898/4/042049
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSimulation
dc.subjectQss
dc.subjectDevs
dc.subjectHep
dc.titleApplication of State Quantization-Based Methods in HEP Particle Transport Simulation
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:ar-repo/semantics/artículo
dc.typeinfo:eu-repo/semantics/publishedVersion


Este ítem pertenece a la siguiente institución