13 citations · 17 across the 3 of their papers we have counts for
10 papers · 1 filter
Educational and Outreach Resource for Astroparticle Physics
Yulia Kazarina, Vasiliy Khristyuk, Alexander Kruykov +5
The modern astrophysics is moving towards the enlarging of experiments and combining the channels for detecting the highest energy processes in the Universe. To obtain reliable dat…
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…
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…
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…