The study of intelligent algorithm in particle identification of heavy-ion collisions at low and intermediate energies
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s41365-024-01388-3.pdf
Reference89 articles.
1. A. Kalweit, Particle identification in the ALICE experiment. J. Phys. G Nucl. Part. Phys. 38, 124073 (2011). https://doi.org/10.1088/0954-3899/38/12/124073
2. C. Zampolli, Particle identification with the ALICE detector at the LHC (2012). arXiv:1209.5637
3. P. Križan, Particle identification at Belle II. J. Instrum. 9, C07018 (2014). https://doi.org/10.1088/1748-0221/9/07/C07018
4. ŁK. Graczykowski, M. Jakubowska, K.R. Deja et al., Using machine learning for particle identification in ALICE. J. Instrum. 17, C07016 (2022). https://doi.org/10.1088/1748-0221/17/07/C07016
5. P. Calafiura, S. Farrell, H. Gray et al., TrackML: a high energy physics particle tracking challenge, in IEEE 14th International Conference on E-Science (e-Science) (2018), pp. 344–344. https://doi.org/10.1109/eScience.2018.00088
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1. Research on charged particle identification of telescope in heavy-ion collisions at low and intermediate energies based on optimization algorithms;Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms;2024-09
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