7 citations · 27 across the 10 of their papers we have counts for
10 papers
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…
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…
Interrelation of equivariant Gaussian processes and convolutional neural networks
Andrey Demichev, Alexander Kryukov
Currently there exists rather promising new trend in machine leaning (ML) based on the relationship between neural networks (NN) and Gaussian processes (GP), including many related…
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…
Complete Decentralization of Distributed Data Storages Based on Blockchain Technology
Andrey Demichev, Alexander Kryukov
The work presents a solution for completely decentralized data management systems in geographically distributed environments with administratively unrelated or loosely related user…
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…
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…
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…