Fast Shower Simulation in the ATLAS Calorimeter [electronic resource].
- Published
- Washington, D.C. : United States. Dept. of Energy, 2011.
Oak Ridge, Tenn. : Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy. - Physical Description
- 10 pages : digital, PDF file
- Additional Creators
- SLAC National Accelerator Laboratory, United States. Department of Energy, and United States. Department of Energy. Office of Scientific and Technical Information
Access Online
- Restrictions on Access
- Free-to-read Unrestricted online access
- Summary
- 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 ≈ 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.
- Report Numbers
- E 1.99:slac-pub-14699
slac-pub-14699 - Subject(s)
- Other Subject(s)
- Note
- Published through SciTech Connect.
11/08/2011.
"slac-pub-14699"
J.Phys.Conf.Ser.119:032008,2008
Prepared for International Conference on Computing in High Energy and Nuclear Physics (CHEP 07), Victoria, BC, Canada, 2-7 Sep 2007.
Dell'Acqua, A.; Di Simone, A.; Butler, B.; Glazov, A.; Placakyte, R.; Barberio, E.; Marshall, Z.; Mueller, J.; Waugh, A.; Boudreau, J.; Cheung, S.L.; Ehrenfeld, W.; Gallas, M.V.; Rimoldi, A.; Savard, P.; Tsulaia, V.; Young, C.C. - Funding Information
- AC02-76SF00515
View MARC record | catkey: 13821300