GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4

Simulations in high energy physics (HEP) often require the numerical solution of ordinary differential equations (ODE) to determine the trajectories of charged particles in a magnetic field when particles move throughout detector volumes. Each crossing of a volume interrupts the underlying numerical...

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Publicado: 2018
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Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v1085_n5_p_Santi
http://hdl.handle.net/20.500.12110/paper_17426588_v1085_n5_p_Santi
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spelling paper:paper_17426588_v1085_n5_p_Santi2023-06-08T16:27:09Z GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4 Charged particles Equations of motion Numerical methods Ordinary differential equations Computational costs Discrete event driven Geant4 simulation toolkit Intersection points Iterative algorithm Ordinary differential equation (ODE) Polynomial segments Quantized state systems Iterative methods Simulations in high energy physics (HEP) often require the numerical solution of ordinary differential equations (ODE) to determine the trajectories of charged particles in a magnetic field when particles move throughout detector volumes. Each crossing of a volume interrupts the underlying numerical method that solves the equations of motion, triggering iterative algorithms to estimate the intersection point within a given accuracy. The computational cost of this procedure can grow significantly depending on the application at hand. Quantized State System (QSS) is a recent family of discrete-event driven numerical methods exhibiting attractive features for this type of problems, such as native dense output (sequences of polynomial segments updated only by accuracy-driven events) and lightweight detection and handling of volume crossings. In this work we present GQLink, a proof-of-concept integration of QSS with the Geant4 simulation toolkit which stands as an interface for co-simulation that orchestrates robustly and transparently the interaction between the QSS simulation engine and aspects such as geometry definition and physics processes controlled by Geant4. We validate the accuracy and study the performance of the method in simple geometries (subject to intense volume crossing activity) and then in a realistic HEP application using a full CMS detector configuration. © Published under licence by IOP Publishing Ltd. 2018 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v1085_n5_p_Santi http://hdl.handle.net/20.500.12110/paper_17426588_v1085_n5_p_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 Charged particles
Equations of motion
Numerical methods
Ordinary differential equations
Computational costs
Discrete event driven
Geant4 simulation toolkit
Intersection points
Iterative algorithm
Ordinary differential equation (ODE)
Polynomial segments
Quantized state systems
Iterative methods
spellingShingle Charged particles
Equations of motion
Numerical methods
Ordinary differential equations
Computational costs
Discrete event driven
Geant4 simulation toolkit
Intersection points
Iterative algorithm
Ordinary differential equation (ODE)
Polynomial segments
Quantized state systems
Iterative methods
GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
topic_facet Charged particles
Equations of motion
Numerical methods
Ordinary differential equations
Computational costs
Discrete event driven
Geant4 simulation toolkit
Intersection points
Iterative algorithm
Ordinary differential equation (ODE)
Polynomial segments
Quantized state systems
Iterative methods
description Simulations in high energy physics (HEP) often require the numerical solution of ordinary differential equations (ODE) to determine the trajectories of charged particles in a magnetic field when particles move throughout detector volumes. Each crossing of a volume interrupts the underlying numerical method that solves the equations of motion, triggering iterative algorithms to estimate the intersection point within a given accuracy. The computational cost of this procedure can grow significantly depending on the application at hand. Quantized State System (QSS) is a recent family of discrete-event driven numerical methods exhibiting attractive features for this type of problems, such as native dense output (sequences of polynomial segments updated only by accuracy-driven events) and lightweight detection and handling of volume crossings. In this work we present GQLink, a proof-of-concept integration of QSS with the Geant4 simulation toolkit which stands as an interface for co-simulation that orchestrates robustly and transparently the interaction between the QSS simulation engine and aspects such as geometry definition and physics processes controlled by Geant4. We validate the accuracy and study the performance of the method in simple geometries (subject to intense volume crossing activity) and then in a realistic HEP application using a full CMS detector configuration. © Published under licence by IOP Publishing Ltd.
title GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
title_short GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
title_full GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
title_fullStr GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
title_full_unstemmed GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4
title_sort gqlink: an implementation of quantized state systems (qss) methods in geant4
publishDate 2018
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v1085_n5_p_Santi
http://hdl.handle.net/20.500.12110/paper_17426588_v1085_n5_p_Santi
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