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Title: HEP Software Foundation Community White Paper Working Group - Detector Simulation

Abstract

A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the HEP field over the next decade. The working group met over a period of several months in order to review the current status of the Full and Fast simulation applications of HEP experiments and the improvements that will need to be made in order to meet the goals of future HEP experimental programmes. The scope of the topics covered includes the main components of a HEP simulation application, such as MC truth handling, geometry modeling, particle propagation in materials and fields, physics modeling of the interactions of particles with matter, the treatment of pileup and other backgrounds, as well as signal processing and digitisation. The resulting work programme described in this document focuses on the need to improve both the software performance and the physics of detector simulation. The goals are to increase the accuracy of the physics models and expand their applicability to future physics programmes, while achieving large factors in computing performance gains consistent with projections on available computing resources.

Authors:
 [1]
  1. European Organization for Nuclear Research (CERN), Geneva (Switzerland); et al.
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Brookhaven National Laboratory (BNL), Upton, NY (United States); SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Sponsoring Org.:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Contributing Org.:
HEP Software Foundation
OSTI Identifier:
1437300
Report Number(s):
HSF-CWP-2017-07; arXiv:1803.04165; FERMILAB-FN-1054-CD
1662079
DOE Contract Number:
AC02-07CH11359
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Apostolakis, J. HEP Software Foundation Community White Paper Working Group - Detector Simulation. United States: N. p., 2018. Web. doi:10.2172/1437300.
Apostolakis, J. HEP Software Foundation Community White Paper Working Group - Detector Simulation. United States. doi:10.2172/1437300.
Apostolakis, J. Mon . "HEP Software Foundation Community White Paper Working Group - Detector Simulation". United States. doi:10.2172/1437300. https://www.osti.gov/servlets/purl/1437300.
@article{osti_1437300,
title = {HEP Software Foundation Community White Paper Working Group - Detector Simulation},
author = {Apostolakis, J.},
abstractNote = {A working group on detector simulation was formed as part of the high-energy physics (HEP) Software Foundation's initiative to prepare a Community White Paper that describes the main software challenges and opportunities to be faced in the HEP field over the next decade. The working group met over a period of several months in order to review the current status of the Full and Fast simulation applications of HEP experiments and the improvements that will need to be made in order to meet the goals of future HEP experimental programmes. The scope of the topics covered includes the main components of a HEP simulation application, such as MC truth handling, geometry modeling, particle propagation in materials and fields, physics modeling of the interactions of particles with matter, the treatment of pileup and other backgrounds, as well as signal processing and digitisation. The resulting work programme described in this document focuses on the need to improve both the software performance and the physics of detector simulation. The goals are to increase the accuracy of the physics models and expand their applicability to future physics programmes, while achieving large factors in computing performance gains consistent with projections on available computing resources.},
doi = {10.2172/1437300},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Mon Mar 12 00:00:00 EDT 2018},
month = {Mon Mar 12 00:00:00 EDT 2018}
}

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