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20182024
most citedUsing a Conditional Generative Adversarial Network to Control the Statistical Characteristics of Generated Images for IACT Data Analysis

7 citations · 27 across the 10 of their papers we have counts for

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Showing astro-ph.IMShow all

8 papers · 1 filter

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…

astro-ph.IM2021

Analysis of the HiSCORE Simulated Events in TAIGA Experiment Using Convolutional Neural Networks

Anna Vlaskina, Alexander Kryukov

TAIGA is a hybrid observatory for gamma-ray astronomy at high energies in range from 10 TeV to several EeV. It consists of instruments such as TAIGA-IACT, TAIGA-HiSCORE, and others…

astro-ph.IM2021★ 3 cited

The Preliminary Results on Analysis of TAIGA-IACT Images Using Convolutional Neural Networks

Elizaveta Gres, and Alexander Kryukov

The imaging Cherenkov telescopes TAIGA-IACT, located in the Tunka valley of the republic Buryatia, accumulate a lot of data in a short period of time which must be efficiently and…

astro-ph.IM2019★ 4 cited

Tunka Advanced Instrument for cosmic rays and Gamma Astronomy

D. Kostunin, I. Astapov, P. Bezyazeekov +79

The paper is a script of a lecture given at the ISAPP-Baikal summer school in 2018. The lecture gives an overview of the Tunka Advanced Instrument for cosmic rays and Gamma Astrono…

astro-ph.IM2018★ 2 cited

Particle identification in ground-based gamma-ray astronomy using convolutional neural networks

E. B. Postnikov, I. V. Bychkov, J. Y. Dubenskaya +10

Modern detectors of cosmic gamma-rays are a special type of imaging telescopes (air Cherenkov telescopes) supplied with cameras with a relatively large number of photomultiplier-ba…