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Title: Fast Shower Simulation in the ATLAS Calorimeter

Abstract

The time to simulate pp collisions in the ATLAS detector is largely dominated by the showering of electromagnetic particles in the heavy parts of the detector, especially the electromagnetic barrel and endcap calorimeters. Two procedures have been developed to accelerate the processing time of electromagnetic particles in these regions: (1) a fast shower parameterisation and (2) a frozen shower library. Both work by generating the response of the calorimeter to electrons and positrons with Geant 4, and then reintroduce the response into the simulation at runtime. In the fast shower parameterisation technique, a parameterization is tuned to single electrons and used later by simulation. In the frozen shower technique, actual showers from low-energy particles are used in the simulation. Full Geant 4 simulation is used to develop showers down to {approx} 1 GeV, at which point the shower is terminated by substituting a frozen shower. Judicious use of both techniques over the entire electromagnetic portion of the ATLAS calorimeter produces an important improvement of CPU time. We discuss the algorithms and their performance in this paper.

Authors:
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
SLAC National Accelerator Lab., Menlo Park, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1029167
Report Number(s):
SLAC-PUB-14699
TRN: US1105642
DOE Contract Number:  
AC02-76SF00515
Resource Type:
Conference
Journal Name:
J.Phys.Conf.Ser.119:032008,2008
Additional Journal Information:
Conference: Prepared for International Conference on Computing in High Energy and Nuclear Physics (CHEP 07), Victoria, BC, Canada, 2-7 Sep 2007
Country of Publication:
United States
Language:
English
Subject:
71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 73 NUCLEAR PHYSICS AND RADIATION PHYSICS; ALGORITHMS; CALORIMETERS; ELECTRONS; NUCLEAR PHYSICS; PERFORMANCE; POSITRONS; PROCESSING; SIMULATION; HIGH ENERGY PHYSICS; Instrumentation,INST

Citation Formats

Barberio, E, /Melbourne U., Boudreau, J, /Pittsburgh U., Butler, B, /SLAC, Cheung, S L, /Toronto U., Dell'Acqua, A, /CERN, Di Simone, A, /CERN, Ehrenfeld, W, /Hamburg U. /DESY, Gallas, M V, /CERN, Glazov, A, /DESY, Marshall, Z, /Caltech /Nevis Labs, Columbia U., Mueller, J, /Pittsburgh U., Placakyte, R, /DESY, Rimoldi, A, /Pavia U. /INFN, Pavia, Savard, P, /Toronto U., Tsulaia, V, /Pittsburgh U., Waugh, A, /Sydney U., Young, C C, and /SLAC. Fast Shower Simulation in the ATLAS Calorimeter. United States: N. p., 2011. Web.
Barberio, E, /Melbourne U., Boudreau, J, /Pittsburgh U., Butler, B, /SLAC, Cheung, S L, /Toronto U., Dell'Acqua, A, /CERN, Di Simone, A, /CERN, Ehrenfeld, W, /Hamburg U. /DESY, Gallas, M V, /CERN, Glazov, A, /DESY, Marshall, Z, /Caltech /Nevis Labs, Columbia U., Mueller, J, /Pittsburgh U., Placakyte, R, /DESY, Rimoldi, A, /Pavia U. /INFN, Pavia, Savard, P, /Toronto U., Tsulaia, V, /Pittsburgh U., Waugh, A, /Sydney U., Young, C C, & /SLAC. Fast Shower Simulation in the ATLAS Calorimeter. United States.
Barberio, E, /Melbourne U., Boudreau, J, /Pittsburgh U., Butler, B, /SLAC, Cheung, S L, /Toronto U., Dell'Acqua, A, /CERN, Di Simone, A, /CERN, Ehrenfeld, W, /Hamburg U. /DESY, Gallas, M V, /CERN, Glazov, A, /DESY, Marshall, Z, /Caltech /Nevis Labs, Columbia U., Mueller, J, /Pittsburgh U., Placakyte, R, /DESY, Rimoldi, A, /Pavia U. /INFN, Pavia, Savard, P, /Toronto U., Tsulaia, V, /Pittsburgh U., Waugh, A, /Sydney U., Young, C C, and /SLAC. Tue . "Fast Shower Simulation in the ATLAS Calorimeter". United States. https://www.osti.gov/servlets/purl/1029167.
@article{osti_1029167,
title = {Fast Shower Simulation in the ATLAS Calorimeter},
author = {Barberio, E and /Melbourne U. and Boudreau, J and /Pittsburgh U. and Butler, B and /SLAC and Cheung, S L and /Toronto U. and Dell'Acqua, A and /CERN and Di Simone, A and /CERN and Ehrenfeld, W and /Hamburg U. /DESY and Gallas, M V and /CERN and Glazov, A and /DESY and Marshall, Z and /Caltech /Nevis Labs, Columbia U. and Mueller, J and /Pittsburgh U. and Placakyte, R and /DESY and Rimoldi, A and /Pavia U. /INFN, Pavia and Savard, P and /Toronto U. and Tsulaia, V and /Pittsburgh U. and Waugh, A and /Sydney U. and Young, C C and /SLAC},
abstractNote = {The time to simulate pp collisions in the ATLAS detector is largely dominated by the showering of electromagnetic particles in the heavy parts of the detector, especially the electromagnetic barrel and endcap calorimeters. Two procedures have been developed to accelerate the processing time of electromagnetic particles in these regions: (1) a fast shower parameterisation and (2) a frozen shower library. Both work by generating the response of the calorimeter to electrons and positrons with Geant 4, and then reintroduce the response into the simulation at runtime. In the fast shower parameterisation technique, a parameterization is tuned to single electrons and used later by simulation. In the frozen shower technique, actual showers from low-energy particles are used in the simulation. Full Geant 4 simulation is used to develop showers down to {approx} 1 GeV, at which point the shower is terminated by substituting a frozen shower. Judicious use of both techniques over the entire electromagnetic portion of the ATLAS calorimeter produces an important improvement of CPU time. We discuss the algorithms and their performance in this paper.},
doi = {},
url = {https://www.osti.gov/biblio/1029167}, journal = {J.Phys.Conf.Ser.119:032008,2008},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {11}
}

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