activity
20132025
most citedRussian-German Astroparticle Data Life Cycle Initiative

21 citations · 66 across the 15 of their papers we have counts for

collaborators

17 papers

astro-ph.IM2025

Capability of using the normalizing flows for extraction rare gamma events in the TAIGA experiment

A. P. Kryukov, A. Yu. Razumov, A. P. Demichev +6

The objective of this work is to develop a method for detecting rare gamma quanta against the background of charged particles in the fluxes from sources in the Universe with the he…

astro-ph.IM2024★ 3 cited

Selection of gamma events from IACT images with deep learning methods

E. O. Gres, A. P. Kryukov, A. P. Demichev +4

Imaging Atmospheric Cherenkov Telescopes (IACTs) of gamma ray observatory TAIGA detect the Extesnive Air Showers (EASs) originating from the cosmic or gamma rays interactions with…

astro-ph.IM2022★ 7 cited

Using a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis

Julia Dubenskaya, Alexander Kryukov, Andrey Demichev +3

Generative adversarial networks are a promising tool for image generation in the astronomy domain. Of particular interest are conditional generative adversarial networks (cGANs), w…

astro-ph.IM2022★ 3 cited

Using conditional variational autoencoders to generate images from atmospheric Cherenkov telescopes

Stanislav Polyakov, Alexander Kryukov, Andrey Demichev +3

High-energy particles hitting the upper atmosphere of the Earth produce extensive air showers that can be detected from the ground level using imaging atmospheric Cherenkov telesco…

astro-ph.IM2021★ 2 cited

Processing Images from Multiple IACTs in the TAIGA Experiment with Convolutional Neural Networks

Stanislav Polyakov, Andrey Demichev, Alexander Kryukov +1

Extensive air showers created by high-energy particles interacting with the Earth atmosphere can be detected using imaging atmospheric Cherenkov telescopes (IACTs). The IACT images…

cs.DC2019★ 1 cited

Improving the Effective Utilization of Supercomputer Resources by Adding Low-Priority Containerized Jobs

Julia Dubenskaya, Stanislav Polyakov

We propose an approach to utilize idle computational resources of supercomputers. The idea is to maintain an additional queue of low-priority non-parallel jobs and execute them in…