Computing and machine learning for the SHiP experiment

Open Access

Issue		EPJ Web Conf. Volume 337, 2025 27^th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)


Article Number		01342
Number of page(s)		6
DOI		https://doi.org/10.1051/epjconf/202533701342
Published online		07 October 2025

R. Albanese et al. (SHiP), Tech. Rep. CERN-SPSC-2023-033, SPSC-P-369, CERN, Geneva (2023), https://cds.cern.ch/record/2878604 [Google Scholar]
S. Agostinelli et al. (GEANT4), GEANT4–a simulation toolkit, Nucl. Instrum. Meth. A 506, 250 (2003). 10.1016/S0168-9002(03)01368-8 [CrossRef] [Google Scholar]
T. Sjostrand, S. Mrenna, P.Z. Skands, PYTHIA 6.4 Physics and Manual, JHEP 05, 026 (2006), hep-ph/0603175. 10.1088/1126-6708/2006/05/026 [CrossRef] [Google Scholar]
T. Sjostrand, S. Mrenna, P.Z. Skands, A Brief Introduction to PYTHIA 8.1, Comput. Phys. Commun. 178, 852 (2008), 0710.3820. 10.1016/j.cpc.2008.01.036 [CrossRef] [Google Scholar]
C. Andreopoulos et al., The GENIE Neutrino Monte Carlo Generator, Nucl. Instrum. Meth. A614, 87 (2010), 0905.2517. 10.1016/j.nima.2009.12.009 [Google Scholar]
J. Rauch, T. Schlüter, GENFIT — a Generic Track-Fitting Toolkit, J. Phys. Conf. Ser. 608, 012042 (2015), 1410.3698. 10.1088/1742-6596/608/1/012042 [Google Scholar]
C. Ahdida et al. (SHiP), Measurement of the muon flux from 400 GeV/c protons interacting in a thick molybdenum/tungsten target, Eur. Phys. J. C 80, 284 (2020), 2001.04784. 10.1140/epjc/s10052-020-7788-y [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
C. Ahdida et al. (SHiP), Reconstruction of 400 GeV/c proton interactions with the SHiP-charm project, Eur. Phys. J. C 84, 562 (2024), 2406.04730. 10.1140/epjc/s10052-024-12655-3 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
G. Acampora et al. (SND@LHC), SND@LHC: the scattering and neutrino detector at the LHC, JINST 19, P05067 (2024), 2210.02784. 10.1088/1748-0221/19/05/P05067 [CrossRef] [Google Scholar]
D. Abbaneo et al., Tech. Rep. CERN-LHCC-2024-007, LHCC-I-040, CERN, Geneva (2024), http://cds.cern.ch/record/2895224 [Google Scholar]
C. Ahdida et al. (SHiP), Sensitivity of the SHiP experiment to Heavy Neutral Leptons, JHEP 04, 077 (2019), 1811.00930. 10.1007/JHEP04(2019)077 [Google Scholar]
C. Ahdida et al. (SHiP), Sensitivity of the SHiP experiment to dark photons decaying to a pair of charged particles, Eur. Phys. J. C 81, 451 (2021), 2011.05115. 10.1140/epjc/s10052-021-09224-3 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
M. Ovchynnikov, SensCalc (2024), https://doi.org/10.5281/zenodo.13902863 [Google Scholar]
T. Ruf, H. Dijkstra (SHiP), Heavy Flavour Cascade Production in a Beam Dump (2015). [Google Scholar]
C. Ahdida et al. (SHiP), Fast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks, JINST 14, P11028 (2019), 1909.04451. 10.1088/1748-0221/14/11/P11028 [Google Scholar]
A. Akmete et al. (SHiP), The active muon shield in the SHiP experiment, JINST 12, P05011 (2017), 1703.03612. 10.1088/1748-0221/12/05/P05011 [Google Scholar]
O. Lantwin, Ph.D. thesis, Imperial Coll., London (2019) [Google Scholar]
Kurbatov, Evgeny, Ratnikov, Fedor, Ursov, Eduard, Multi-parameter detector optimization: Ship case, EPJ Web of Conf. 295, 03023 (2024). 10.1051/epjconf/202429503023 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
S. Shirobokov, V. Belavin, M. Kagan, A. Ustyuzhanin, A.G. Baydin, Black-Box Optimization with Local Generative Surrogates (2020), 2002.04632. [Google Scholar]
F.V. Massoli, T. Bakker, T. Hehn, T. Orekondy, A. Behboodi, Simulating, fast and slow: Learning policies for black-box optimization (2024), 2406.04261, https://arxiv. org/abs/2406.04261 [Google Scholar]

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