| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 03023 | |
| Number of page(s) | 7 | |
| Section | Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429503023 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429503023
Multi-parameter detector optimization: SHiP case
1 HSE University
2 Yandex School of Data Analysis
3 Humboldt-Universität zu Berlin
4 NUST MISIS
* e-mail: kurbatov.phys@gmail.com
** e-mail: Mailaddressforsecondauthorifnecessary
*** e-mail: Mailaddressforlastauthorifnecessary
Published online: 6 May 2024
SHiP (Search for Hidden Particles) and the associated SPS Beam Dump Facility is a new general-purpose experiment proposed at the SPS to search for "hidden" particles as predicted by a very large number of recently elaborated models of Hidden Sectors which are capable of accommodating dark matter, neutrino oscillations, and the origin of the full baryon asymmetry in the Universe. SHiP is declared as an experiment with zero background. The Muon Shield is the key element to do this. So on the one hand it has to provide a good background suppression, on the other hand it has not be too heavy. In this paper we present the results of obtaining the new Muon Shield shape using the Bayesian Optimization. This allowed to reduce the background rate by the factor of 2.5, while keeping the weight of the shield at the same level.
© The Authors, published by EDP Sciences, 2024
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