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- Lomonosov Moscow State UniversityRU91 papers
- Institute for Nuclear ResearchRU67 papers
- Joint Institute for Nuclear ResearchRU62 papers
- Nizhny Novgorod State Technical UniversityRU35 papers
- Russian Academy of SciencesRU34 papers
- Deutsches Elektronen-Synchrotron DESYDE30 papers
- State Marine Technical University of St. PetersburgRU30 papers
- Czech Technical University in PragueCZ25 papers
- Skobeltsyn Institute of Nuclear Physics, Lomonosov Moscow State UniversityRU25 papers
- Comenius University BratislavaSK23 papers
- Karlsruhe Institute of TechnologyDE23 papers
- Pulkovo ObservatoryRU23 papers
286 papers
Classical scattering matrix for hard and soft Bose-excitations in a non-Abelian plasma within the Hamiltonian formalism
Yu. A. Markov, M. A. Markova, D. M. Gitman +1
Within the framework of the Zakharov-Schulman approach, in close analogy with the methods of quantum field theory, the classical scattering matrix for the simplest process of inter…
Constraints on the diffuse flux of multi-PeV astrophysical neutrinos obtained with the Baikal Gigaton Volume Detector
V. A. Allakhverdyan, A. D. Avrorin, A. V. Avrorin +69
Various theoretical models predict cosmic neutrinos with multi-PeV energies. The recent detection of a ~10^17 eV neutrino in the KM3NeT experiment suggests that these energetic par…
Image Data Augmentation for the TAIGA-IACT Experiment with Conditional Generative Adversarial Networks
Yu. Yu. Dubenskaya, A. P. Kryukov, E. O. Gres +5
Modern Imaging Atmospheric Cherenkov Telescopes (IACTs) generate a huge amount of data that must be classified automatically, ideally in real time. Currently, machine learning-base…
Evaluation of EAS directions based on TAIGA HiSCORE data using fully connected neural networks
A. P. Kryukov, S. P. Polyakov, Yu. Yu. Dubenskaya +4
The direction of extensive air showers can be used to determine the source of gamma quanta and plays an important role in estimating the energy of the primary particle. The data fr…
Gamma/hadron separation in the TAIGA experiment with neural network methods
E. O. Gres, A. P. Kryukov, P. A. Volchugov +5
In this work, the ability of rare VHE gamma ray selection with neural network methods is investigated in the case when cosmic radiation flux strongly prevails (ratio up to {10^4} o…
Neutrino astronomy at Lake Baikal
Dmitry Zaborov
High energy neutrino astronomy has seen significant progress in the past few years. This includes the detection of neutrino flux from the Galactic plane, as well as strong evidence…