21 citations · 40 across the 6 of their papers we have counts for
10 papers
A method for multimodal analysis of TAIGA experiment data using essential features
Alexander Kryukov, Julia Dubenskaya, Elena Fedotova +6
The aim of processing and analyzing experimental data from physical experiments is to obtain physically significant information about the phenomenon under study. This goal is achie…
Capability of using the normalizing flows for extraction rare gamma events in the TAIGA experiment
A. P. Kryukov, A. Yu. Razumov, A. P. Demichev +6
The objective of this work is to develop a method for detecting rare gamma quanta against the background of charged particles in the fluxes from sources in the Universe with the he…
Quest for detection of a cosmological signal from neutral hydrogen with a digital radio array developed for air-shower measurements
D. Kostunin, P. Bezyazeekov, N. Budnev +12
Digital radio arrays are widely used for the low-frequency radio astronomy as well as for detection of air-showers induced by high-energy cosmic rays and neutrinos. Since the radio…
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…
Using Binary File Format Description Languages for Documenting, Parsing, and Verifying Raw Data in TAIGA Experiment
I. Bychkov, A. Demichev, J. Dubenskaya +13
The paper is devoted to the issues of raw binary data documenting, parsing and verifying in astroparticle data lifecycle. The long-term preservation of raw data of astroparticle ex…
Application of HUBzero platform for the educational process in astroparticle physics
Yulia Kazarina, Igor Bychkov, Alexander Kryukov +10
In the frame of the Karlsruhe-Russian Astroparticle Data Life Cycle Initiative it was proposed to deploy an educational resource astroparticle.online for the training of students i…
Russian-German Astroparticle Data Life Cycle Initiative
Igor Bychkov, Andrey Demichev, Julia Dubenskaya +19
Modern large-scale astroparticle setups measure high-energy particles, gamma rays, neutrinos, radio waves, and the recently discovered gravitational waves. Ongoing and future exper…