7 citations · 14 across the 3 of their papers we have counts for
4 papers
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…
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…
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…
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…