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Testing deep learning techniques for event reconstruction in pair-production gamma-ray telescopes
In the development of next-generation tracking detectors for gamma-ray space observations, the integration of advanced deep learning techniques into event reconstruction algorithms is a promising approach for improving the performance of the mission, reducing systematic uncertainties and maximizing
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