Astroparticle Physics Lab

The Astroparticle Physics Lab is focused on processing data from astroparticle experiments using modern computing techniques, including machine learning and deep neural networks.

By modernizing the current observatories and proposing new cutting-edge ones, modern astrophysics is entering the era of big data, which requires experts in data science as well as essential computing resources. By combining open data from historical and ongoing observations with resources provided by JetBrains, we’re developing sophisticated reconstruction tools, searching for rare phenomena, and training a new generation of data analysis experts. This lets us pursue independent research that is high-risk but also high-reward, filling some of the gaps in mainstream astrophysics.


N. Petrov, M. Kuznetsov, I. Plokhikh, V. Sotnikov, M. Tsobenko

Search for optimal deep neural network architecture for gamma ray search at KASCADE


V. Sotnikov, M. Kuznetsov, N. Petrov, I. Plokhikh

Towards mass composition study with KASCADE using deep neural networks


Group Members

Sergo Golovachev
Head of Research Lab
Anton Kotenko
Software Developer
Luiza Salavatullina
Vladimir Sotnikov
Project Manager