Speaker
Nikita Pozdnukhov
(INR RAS)
Description
We report our results on the new technique for searching for photon-induced EAS events at the Carpet-3 experiment. To search for photon-like events, we employ a neural network, trained on Monte-Carlo simulations of the experiment. On Monte-Carlo simulations our method achieves considerably higher background rejection efficiency than traditional methods, particularly for EAS events with high muon content. We also report on the 300 TeV gamma ray event associated with GRB221009A.
Primary author
Nikita Pozdnukhov
(INR RAS)
Co-author
Grigory Rubtsov
(INR RAS)
