Application of Machine Learning Ensemble Methods to ASTRI Mini-Array Cherenkov Event Reconstruction

Application of Machine Learning Ensemble Methods to ASTRI Mini-Array Cherenkov Event Reconstruction

The Imaging Atmospheric Cherenkov technique has opened up previously unexplored windows for the study of astrophysical radiation sources in the very high-energy (VHE) regime and is playing an important role in the discovery and characterization of VHE gamma-ray emitters. However, even for the most p...

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Bibliographic Details
Main Authors: Antonio Pagliaro, Giancarlo Cusumano, Antonino La Barbera, Valentina La Parola, Saverio Lombardi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
machine learning
ensemble learning
imaging atmospheric Cherenkov telescopes
gamma/hadron separation
image analysis
pattern recognition
Online Access:https://www.mdpi.com/2076-3417/13/14/8172

Internet

https://www.mdpi.com/2076-3417/13/14/8172

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