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Яшин, Игорь Иванович

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Институт ядерной физики и технологий
Цель ИЯФиТ и стратегия развития - создание и развитие научно-образовательного центра мирового уровня в области ядерной физики и технологий, радиационного материаловедения, физики элементарных частиц, астрофизики и космофизики.
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Яшин
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Игорь Иванович
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  • Публикация
    Только метаданные
    TAIGA—A hybrid array for high energy gamma-ray astronomy and cosmic-ray physics
    (2022) Астапов, Иван Иванович; Яшин, Игорь Иванович; Кокоулин, Ростислав Павлович; Петрухин, Анатолий Афанасьевич; Astapov, I. I.; Kindin, V. V.; Kokoulin, R. P.; Kompaniets, K. G.; Okuneva, E. A.; Petrukhin, A. A.; Yashin, I. I.; Киндин, Виктор Владимирович
    The concept of the TAIGA experiment is to combine wide-angle timing and imaging Cherenkov telescopes as well as electron and muon detectors. The TAIGA facility aims at gamma-ray astrophysics at energies from a few TeV to several PeV and cosmic-ray physics from 100 TeV to several EeV but also pursues searches for astrophysical nanosecond transients, axion-like particles, Lorentz invariance violation and other unexpected manifestations of New Physics. TAIGA-1, a hybrid detector complex with an area of 1 km2, operating since 2021 in the Tunka valley, 50 km to the West from the southernmost tip of lake Baikal, and the plans for its upgrade are presented.
  • Публикация
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    Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array
    (2022) Астапов, Иван Иванович; Яшин, Игорь Иванович; Кокоулин, Ростислав Павлович; Петрухин, Анатолий Афанасьевич; Astapov, I. I.; Kindin, V. V.; Kokoulin, R. P.; Kompaniets, K. G.; Petrukhin, A. A.; Yashin, I. I.; Компаниец, Константин Георгиевич; Киндин, Виктор Владимирович
    The TAIGA experiment in Tunka valley is expanding the present scintillation detector array with new TAIGA-Muon detector stations. A simulation model was developed for optimization of the layout of the new stations and study of the identification performance of the array. The extensive air showers (EASs) were simulated with the CORSIKA simulation tool, and the detector response was simulated with the GEANT4 package. EASs induced by gamma quanta or protons in the energy range from 1 PeV to 10 PeV and the zenith angle range from 0° to 45°, are used for these studies. For the identification of high energy extensive air showers, a method based on a neural network was suggested. With this method, the proton identification efficiency is more than 90%, while the gamma identification efficiency not less than 50%.