Unveiling Trajectories: Breakthroughs in Muon Tracking for CONNIE Experiment-Reference-Cited by-同舟云学术

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Unveiling Trajectories: Breakthroughs in Muon Tracking for CONNIE Experiment

Published:2023-12-05 Issue: Volume:761 Page:1-6
ISSN:
Container-title:2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)
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Author:

Ferreyra Santiago¹,Baez Oscar¹,Stalder Diego¹,Molina Jorge¹

Affiliation:

1. Universidad Nacional de Asunción,Facultad de Ingeniería,San Lorenzo,Paraguay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10418608/10418599/10418688.pdf?arnumber=10418688

Reference7 articles.

1. The TrackML high-energy physics tracking challenge on Kaggle

2. The Higgs Machine Learning Challenge

3. The connie experiment;Aguilar-Arevalo,2016

4. A Particle Identification in the CONNIE Experiment using Deep Learning Approach

5. Geant4-a simulation toolkit;Agostinelli,2003

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