Recent BDSIM Related Developments and Modeling of Accelerators. / Nevay, Laurence; Abramov, Andrey; Alden, Siobhan; Boogert, Stewart ; D'Alessandro, Gian Luigi; Gibson, Stephen; Lefebvre, Helena; Shields, William; Walker, Stuart; Gnacadja, Eustache; Hernalsteens, Cédric; Ramoisiaux, E.; Tesse, Robin; Liu, S. L.

12th International Particle Accelerator Conference 2021. Campinas, SP, Brazil : JACoW Publishing, 2021. p. 4208-4211 THPAB214.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published

Abstract

Beam Delivery Simulation (BDSIM) is a program based on Geant4 that creates 3D radiation transport models of accelerators from a simple optical description in a vastly reduced time frame with great flexibility. It also uses ROOT and CLHEP to create a single simulation model that can accurately track all particle species in an accelerator to predict and understand beam losses, secondary radiation, dosimetric quantities and their origin. BDSIM provides a library of scalable generic geometry for a variety of applications. Our Python package, Pyg4ometry, allows rapid preparation and conversion of geometries for BDSIM and other radia- tion transport simulations including FLUKA. We present a broad overview of BDSIM developments related to a variety of experiments at several facilities. We present a model of the forward experiment FASER at the LHC, CERN where the geometry is composited from multiple sources using Pyg4ometry. The analysis of particle history is presented as well as production mechanisms. We also present the application of recently introduced laser interactions in Geant4 to Compton photons from a laserwire diagnostic at the ATF2.
Original languageEnglish
Title of host publication12th International Particle Accelerator Conference 2021
Place of PublicationCampinas, SP, Brazil
PublisherJACoW Publishing
Pages4208-4211
Number of pages4
ISBN (Electronic)978-3-95450-214-1
DOIs
Publication statusPublished - 22 Aug 2021
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 43195886