Beam Delivery Simulation: BDSIM - Automatic Geant4 Models of Accelerators

Laurence Nevay; Stewart  Boogert; Hector Garcia Morales; Stephen Gibson; Regina Kwee-Hinzmann; William Shields; Jochem Snuverink; Lawrence Deacon

doi:10.18429/JACoW-IPAC2016-WEPOY046

Beam Delivery Simulation: BDSIM - Automatic Geant4 Models of Accelerators

Laurence Nevay, Stewart Boogert, Hector Garcia Morales, Stephen Gibson, Regina Kwee-Hinzmann, William Shields, Jochem Snuverink, Lawrence Deacon

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Beam Delivery Simulation (BDSIM) is a program that uses a suite of high energy physics software including Geant4, CLHEP & ROOT, that seamlessly tracks particles through accelerators and detectors utilising the full range of particles and physics processes from Geant4. BDSIM has been used to simulate linear colliders such as the International Linear Collider (ILC) and more recently, circular colliders such as the Large Hadron Collider (LHC). The latest developments including improved geometry modelling; external geometry support; process biasing; and a new event display are presented. A significantly revised and improved accompanying tool chain is presented comprising of a series of Python utilities that allow efficient and automatic preparation of models. Furthermore, a library for both ROOT and Python that provides powerful analysis and event viewing after simulation is demonstrated.

Original language	English
Title of host publication	7th International Particle Accelerator Conference
Subtitle of host publication	May 8-13, 2016, Busan, Korea
Publisher	JACoW Publishing
Pages	1-3
Number of pages	3
ISBN (Electronic)	978-3-95450-147-2
DOIs	https://doi.org/10.18429/JACoW-IPAC2016-WEPOY046
Publication status	Published - Jun 2016

Access to Document

10.18429/JACoW-IPAC2016-WEPOY046Licence: CC BY

Cite this

Nevay, L., Boogert, S., Garcia Morales, H., Gibson, S., Kwee-Hinzmann, R., Shields, W., Snuverink, J., & Deacon, L. (2016). Beam Delivery Simulation: BDSIM - Automatic Geant4 Models of Accelerators. In 7th International Particle Accelerator Conference: May 8-13, 2016, Busan, Korea (pp. 1-3). Article WEPOY046 JACoW Publishing. https://doi.org/10.18429/JACoW-IPAC2016-WEPOY046

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abstract = "Beam Delivery Simulation (BDSIM) is a program that uses a suite of high energy physics software including Geant4, CLHEP & ROOT, that seamlessly tracks particles through accelerators and detectors utilising the full range of particles and physics processes from Geant4. BDSIM has been used to simulate linear colliders such as the International Linear Collider (ILC) and more recently, circular colliders such as the Large Hadron Collider (LHC). The latest developments including improved geometry modelling; external geometry support; process biasing; and a new event display are presented. A significantly revised and improved accompanying tool chain is presented comprising of a series of Python utilities that allow efficient and automatic preparation of models. Furthermore, a library for both ROOT and Python that provides powerful analysis and event viewing after simulation is demonstrated.",

author = "Laurence Nevay and Stewart Boogert and {Garcia Morales}, Hector and Stephen Gibson and Regina Kwee-Hinzmann and William Shields and Jochem Snuverink and Lawrence Deacon",

year = "2016",

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doi = "10.18429/JACoW-IPAC2016-WEPOY046",

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AU - Nevay, Laurence

AU - Boogert, Stewart

AU - Garcia Morales, Hector

AU - Gibson, Stephen

AU - Kwee-Hinzmann, Regina

AU - Shields, William

AU - Snuverink, Jochem

AU - Deacon, Lawrence

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AB - Beam Delivery Simulation (BDSIM) is a program that uses a suite of high energy physics software including Geant4, CLHEP & ROOT, that seamlessly tracks particles through accelerators and detectors utilising the full range of particles and physics processes from Geant4. BDSIM has been used to simulate linear colliders such as the International Linear Collider (ILC) and more recently, circular colliders such as the Large Hadron Collider (LHC). The latest developments including improved geometry modelling; external geometry support; process biasing; and a new event display are presented. A significantly revised and improved accompanying tool chain is presented comprising of a series of Python utilities that allow efficient and automatic preparation of models. Furthermore, a library for both ROOT and Python that provides powerful analysis and event viewing after simulation is demonstrated.

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DO - 10.18429/JACoW-IPAC2016-WEPOY046

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