The Particle Track Reconstruction based on deep Neural networks
EPJ Web Conf., 214 (2019) 06018
Published online: 2019-09-17
Articles citing this article
The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).
Cited article:
This article has been cited by the following article(s):
An FPGA-Based YOLOv5n Accelerator for Online Multi-Track Particle Localization
Zixuan Song, Wangwang Tang, Wendi Deng, Hongxia Wang, Guangming Huang, Haoran Wu, Yueting Guo, Jun Liu, Kai Jin and Zhiyuan MaElectronics 15 (4) 810 (2026)
https://doi.org/10.3390/electronics15040810
Deep Learning Methods as a Tool for Overcoming the Crisis of Particle Tracking in High Luminosity HEP Experiments
G. A. OsoskovPhysics of Particles and Nuclei 56 (6) 1299 (2025)
https://doi.org/10.1134/S106377962570039X
Graph Neural Network with Attention and Two-Stage Aggregation for Particle Track Reconstruction in the TPC MPD of the NICA Accelerator Complex
Yauheni Talochka, Gennady Ososkov and Nikolay VoytishinComputing and Software for Big Science 9 (1) (2025)
https://doi.org/10.1007/s41781-025-00153-4
Top-philic machine learning
Rahool Kumar Barman and Sumit BiswasThe European Physical Journal Special Topics 233 (15-16) 2497 (2024)
https://doi.org/10.1140/epjs/s11734-024-01237-9
Сравнение подходов к разрешению неоднозначностей при реконструкции треков заряженных частиц
А.С. Камкин, П.Н. Белецкий, В.В. Бурдельная, И.А. Козмин, Д.А. Михалевич and Д.М. ЭркеноваМеждународный научный журнал "Современные информационные технологии и ИТ-образование" 20 (3) 666 (2024)
https://doi.org/10.25559/SITITO.020.202403.666-677
Machine Learning for FARICH Reconstruction at NICA SPD
F. Shipilov, A. Barnyakov, A. Ivanov and F. RatnikovMoscow University Physics Bulletin 79 (S2) S906 (2024)
https://doi.org/10.3103/S0027134924702369
Towards Neural Charged Particle Tracking in Digital Tracking Calorimeters With Reinforcement Learning
Tobias Kortus, Ralf Keidel and Nicolas R. GaugerIEEE Transactions on Pattern Analysis and Machine Intelligence 45 (12) 15820 (2023)
https://doi.org/10.1109/TPAMI.2023.3305027
Using machine learning for particle track identification in the CLAS12 detector
Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian and Nikos ChrisochoidesComputer Physics Communications 276 108360 (2022)
https://doi.org/10.1016/j.cpc.2022.108360