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Title: Upgrading the Fast Calorimeter Simulation in ATLAS

Abstract

The tremendous need for simulated samples now and even more so in the future, encourages the development of fast simulation techniques. The Fast Calorimeter Simulation is a faster though less accurate alternative to the full calorimeter simulation with GEANT4. It is based on parametrizing the longitudunal and lateral energy deposits of single particles in the ATLAS calorimeter. Principal component analysis and machine learning techniques are used to improve the performance and decrease the memory need compared to the current version of the ATLAS Fast Calorimeter Simulation. The parametrizations are expanded to cover very high energies and very forward detector regions, to increase the applicability of the tool. A prototype of this upgraded Fast Calorimeter Simulation has been developed and first validations with single particles show substantial improvements over the previous version.

Authors:
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Org.:
USDOE Office of Science (SC)
Contributing Org.:
ATLAS collaboration
OSTI Identifier:
1544173
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 1085; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Schaarschmidt, J. Upgrading the Fast Calorimeter Simulation in ATLAS. United States: N. p., 2018. Web. doi:10.1088/1742-6596/1085/3/032018.
Schaarschmidt, J. Upgrading the Fast Calorimeter Simulation in ATLAS. United States. doi:10.1088/1742-6596/1085/3/032018.
Schaarschmidt, J. Sat . "Upgrading the Fast Calorimeter Simulation in ATLAS". United States. doi:10.1088/1742-6596/1085/3/032018. https://www.osti.gov/servlets/purl/1544173.
@article{osti_1544173,
title = {Upgrading the Fast Calorimeter Simulation in ATLAS},
author = {Schaarschmidt, J.},
abstractNote = {The tremendous need for simulated samples now and even more so in the future, encourages the development of fast simulation techniques. The Fast Calorimeter Simulation is a faster though less accurate alternative to the full calorimeter simulation with GEANT4. It is based on parametrizing the longitudunal and lateral energy deposits of single particles in the ATLAS calorimeter. Principal component analysis and machine learning techniques are used to improve the performance and decrease the memory need compared to the current version of the ATLAS Fast Calorimeter Simulation. The parametrizations are expanded to cover very high energies and very forward detector regions, to increase the applicability of the tool. A prototype of this upgraded Fast Calorimeter Simulation has been developed and first validations with single particles show substantial improvements over the previous version.},
doi = {10.1088/1742-6596/1085/3/032018},
journal = {Journal of Physics. Conference Series},
number = ,
volume = 1085,
place = {United States},
year = {2018},
month = {9}
}

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Works referenced in this record:

Geant4—a simulation toolkit
journal, July 2003

  • Agostinelli, S.; Allison, J.; Amako, K.
  • Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 506, Issue 3
  • DOI: 10.1016/S0168-9002(03)01368-8

The ATLAS Simulation Infrastructure
journal, September 2010