13 citations · 23 across the 3 of their papers we have counts for
10 papers · 1 filter
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…
German-Russian Astroparticle Data Life Cycle Initiative
Andreas Haungs, Igor Bychkov, Julia Dubenskaya +19
A data life cycle (DLC) is a high-level data processing pipeline that involves data acquisition, event reconstruction, data analysis, publication, archiving, and sharing. For astro…
Deep Learning for Energy Estimation and Particle Identification in Gamma-ray Astronomy
Evgeny Postnikov, Alexander Kryukov, Stanislav Polyakov +1
Deep learning techniques, namely convolutional neural networks (CNN), have previously been adapted to select gamma-ray events in the TAIGA experiment, having achieved a good qualit…
A distributed data warehouse system for astroparticle physics
Minh-Duc Nguyen, Alexander Kryukov, Julia Dubenskaya +10
A distributed data warehouse system is one of the actual issues in the field of astroparticle physics. Famous experiments, such as TAIGA, KASCADE-Grande, produce tens of terabytes…
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…