| Issue |
EPJ Web Conf.
Volume 226, 2020
Mathematical Modeling and Computational Physics 2019 (MMCP 2019)
|
|
|---|---|---|
| Article Number | 03005 | |
| Number of page(s) | 4 | |
| Section | Mathematical and Computational Support of the Experiments, Computing Tools, and Software Services | |
| DOI | https://doi.org/10.1051/epjconf/202022603005 | |
| Published online | 20 January 2020 | |
https://doi.org/10.1051/epjconf/202022603005
Heavy Fragments Identification Using Energy Loss Method in the STS Detector of the CBM Experiment
1
Laboratory of Information Technologies, Joint Institute for Nuclear Research,
Dubna,
Russia
2
National Research Nuclear University “MEPhI”,
Moscow,
Russia
3
Gesellschaft für Schwerionenforschung mbH, GSI,
Darmstadt,
Germany
4
Goethe-Universität,
Frankfurt am Main,
Germany
★ e-mail: odenisova@jinr.ru
Published online: 20 January 2020
The current paper presents the possibility of heavy fragments identification using energy loss method and ωnk criterion in the STS detector of the CBM experiment.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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