Speaker
Nikita Pozdnukhov
(INR RAS)
Description
We discuss neural networks for cosmic ray classification at the Carpet-3 experiment. We improve gamma ray sensitivity and obtain new limits on the isotropic diffuse gamma ray flux from Carpet-3 data, improving previously obtained results. We also study the possibility of measuring the cosmic ray mass composition at the knee region at the Carpet-3 experiment, comparing standard reconstruction methods to machine learning analysis. We address the domain shift between Monte Carlo simulations and real-world data by with domain adaptation and study its effects on the neural network performance.
Primary author
Nikita Pozdnukhov
(INR RAS)
