A Particle Identification in the CONNIE Experiment using Deep Learning Approach
Author:
Affiliation:
1. Universidad Nacional de Asunción,Facultad de Ingeniería,San Lorenzo,Paraguay
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10346085/10345779/10345784.pdf?arnumber=10345784
Reference13 articles.
1. Convolutional neural networks applied to neutrino events in a liquid argon time projection chamber
2. Volume i. introduction to dune;Abi,2020
3. Machine and deep learning applications in particle physics
4. A deep-learning based raw waveform region-of-interest finder for the liquid argon time projection chamber
5. The CONNIE experiment
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Unveiling Trajectories: Breakthroughs in Muon Tracking for CONNIE Experiment;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05
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