Identification of High Energy Gamma Particles From the Cherenkov Gamma Telescope Data Using a Deep Learning Approach

Identification of High Energy Gamma Particles From the Cherenkov Gamma Telescope Data Using a Deep Learning Approach

Atmospheric Cherenkov telescopes have enabled recent breakthroughs in gamma-ray astronomy, enabling the study of high-energy gamma particles in over 90 galactic and extragalactic regions. The significance of this work arises from the complexity of the data captured by the telescope. Traditional meth...

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Bibliographic Details
Main Authors: K. Karthick, S. Akila Agnes, S. Sendil Kumar, Sultan Alfarhood, Mejdl Safran
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Deep learning
gamma-rays
gamma-ray telescopes
LSTM
signal classification
Online Access:https://ieeexplore.ieee.org/document/10415380/

Internet

https://ieeexplore.ieee.org/document/10415380/

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