13 citations · 17 across the 3 of their papers we have counts for
6 papers · 1 filter
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…
Gamma/Hadron Separation in Imaging Air Cherenkov Telescopes Using Deep Learning Libraries TensorFlow and PyTorch
E. B. Postnikov, A. P. Kryukov, S. P. Polyakov +2
In this work we compare two open source machine learning libraries, PyTorch and TensorFlow, as software platforms for rejecting hadron background events detected by imaging air Che…
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…