Speaker
Nikita Pozdnukhov
(INR RAS)
Description
We discuss the problem of discriminating between photon and hadron-induced extensive air showers (EAS), the difficulties of training a classifier on Monte-Carlo simulations and then applying it to the real world data. We propose to use domain adaptation techniques for aligning the feature distributions of Monte-Carlo and experimental data and thus increasing the reliability of classification.
Primary authors
Dr
Grigory Rubtsov
(INR RAS)
Nikita Pozdnukhov
(INR RAS)
