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.
Documento: | Conferencia |
Título: | GQLink: An implementation of Quantized State Systems (QSS) methods in Geant4 |
Autor: | Santi, L.; Bergero, F.; Jun, S.Y.; Genser, K.; Elvira, D.; Castro, R. |
Filiación: | Department of Computer Science, FCEN, University of Buenos Aires, Argentina ICC-CONICET, Argentina CIFASIS-CONICET, Argentina Fermi National Accelerator Laboratory, PO Box 500, Batavia, IL 60510, United States |
Palabras clave: | 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 |
Año: | 2018 |
Volumen: | 1085 |
Número: | 5 |
DOI: | http://dx.doi.org/10.1088/1742-6596/1085/5/052015 |
Título revista: | 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2017 |
Título revista abreviado: | J. Phys. Conf. Ser. |
ISSN: | 17426588 |
Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_17426588_v1085_n5_p_Santi |