activity
19962021
most citedCompHEP - a package for evaluation of Feynman diagrams and integration over multi-particle phase space. User's manual for version 33

227 citations · 309 across the 26 of their papers we have counts for

collaborators

29 papers

astro-ph.IM2021★ 7 cited

Search for Astrophysical Nanosecond Optical Transients with TAIGA-HiSCORE Array

A. D. Panov, I. I. Astapov, A. K. Awad +81

A wide-angle Cerenkov array TAIGA-HiSCORE (FOV 0.6 sr), was originally created as a part of TAIGA installation for high-energy gamma-ray astronomy and cosmic ray physics. Arr…

astro-ph.IM2020★ 2 cited

The Current Design and Implementation of the AstroDS Data Aggregation Service

Minh-Duc Nguyen, Alexander Kryukov, Andrey Mikhailov

AstroDS is a distributed storage for Cosmic Ray Astrophysics. The primary goal of Astro DS is to gather data measured by the instruments of various physical experiments such as TAI…

astro-ph.IM2020★ 2 cited

AstroDS -- A Distributed Storage for Astrophysics of Cosmic Rays. Current Status

Alexander Kryukov, Igor Bychkov, Elena Korosteleva +2

Currently, the processing of scientific data in astroparticle physics is based on various distributed technologies, the most common of which are Grid and cloud computing. The most…

astro-ph.IM2019★ 3 cited

Data Aggregation In The Astroparticle Physics Distributed Data Storage

Minh-Duc Nguyen, Alexander Kryukov, Julia Dubenskaya +4

German-Russian Astroparticle Data Life Cycle Initiative is an international project whose aim is to develop a distributed data storage system that aggregates data from the storage…

astro-ph.IM2019

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…

astro-ph.IM2019★ 13 cited

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…