Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 02062 | |
Number of page(s) | 11 | |
Section | Distributed Computing, Data Management and Facilities | |
DOI | https://doi.org/10.1051/epjconf/202125102062 | |
Published online | 23 August 2021 |
https://doi.org/10.1051/epjconf/202125102062
Computing and Detector Simulation Framework for the HIBEAM/NNBAR Experimental Program at the ESS
1 Department of Physics and Astronomy, The University of Tennessee, Knoxville, TN 37996, USA
2 Department of Physics, Columbia University, New York, NY 10027, USA
3 European Spallation Source ERIC, 225 92, Lund, Sweden
4 Department of Physics, Stockholm University, 106 91, Stockholm, Sweden
5 Institute for Nuclear Research, Russian Academy of Sciences, Prospekt 60-letiya Oktyabrya 7a, Moscow, 117312, Russia
6 Fysiska institutionen, Lunds universitet, 221 00, Lund, Sweden
7 Universidade Federal Fluminense, Rio das Ostras, RJ, Brazil
8 DTU Physics, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
9 Institut Laue-Langevin, 38042 Grenoble, France
10 Massachusetts Institute of Technology, Dept. of Physics, Cambridge, MA 02139, USA
11 School of Physics and Astronomy, Tel Aviv University, Tel Aviv 69978, Israel
* e-mail: bernhard.meirose@fysik.su.se
Published online: 23 August 2021
The HIBEAM/NNBAR program is a proposed two-stage experiment at the European Spallation Source focusing on searches for baryon number violation via processes in which neutrons convert to antineutrons. This paper outlines the computing and detector simulation framework for the HIBEAM/NNBAR program. The simulation is based on predictions of neutron flux and neutronics together with signal and background generation. A range of diverse simulation packages are incorporated, including Monte Carlo transport codes, neutron ray-tracing simulation packages, and detector simulation software. The common simulation package in which these elements are interfaced together is discussed. Data management plans and triggers are also described.
© The Authors, published by EDP Sciences, 2021
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