2 papers
astro-ph.HE2025
Convolution and Graph-based Deep Learning Approaches for Gamma/Hadron Separation in Imaging Atmospheric Cherenkov Telescopes
Abhay Mehta, Dan Parsons, Tim Lukas Holch +2
The identification of -rays from the predominant hadronic-background is a key aspect in their ground-based detection using Imaging Atmospheric Cherenkov Telescopes (IACTs). Whi…
cs.SE2025
Agent-based code generation for the Gammapy framework
Dmitriy Kostunin, Vladimir Sotnikov, Sergo Golovachev +3
Software code generation using Large Language Models (LLMs) is one of the most successful applications of modern artificial intelligence. Foundational models are very effective for…