nsu_avaidyanathan_202206.pdf

• Evgeniy Anatolievich Kravchenko, Candidate of science (Physical and Mathematical Sciences), Head of the laboratory of New Methods of Registration of Ionization Radiation, Physics department, Novosibirsk State University
• Arun Vaidyanathan, Junior research fellow, Novosibirsk State University

The Tunka-Grande - scintillation counter array of the TAIGA experiment in Tunka valley, is expanding with the new TAIGA-Muon stations. Several simulation studies were conducted. In the first stage, the optimization of the new station positioning and performance has studied. The extensive air showers (EASs) were simulated with the CORSIKA simulation tool, and the detector response was simulated with the GEANT4 package. Extensive air showers induced by gamma quanta or a proton in the range from 100 TeV to 1 PeV at a zenith angle of 0° were used for these studies. Based on the developed simulation, the capabilities of identification of high energy extensive air showers were studied. The soil thickness, the detector and station positions, the lowest measurable energy range of the cosmic rays, and different methods of air shower identification were investigated. In the second stage, the identification performance of the array has studied. 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%.

• FSUS-2020-0039, new physics in theory and practice

• Optimisation studies of the TAIGA-Muon scintillation detector array, preprint stage – JINST (2022).
• Astapov I, et al. Identification of electromagnetic and hadronic EASs using neural network for TAIGA scintillation detector array (2022) Journal of Instrumentation, 17 (5), art. no. P05023.
• Chernukh D, et al. An approach for identification of ultrahigh energy extensive air showers with scintillation detectors at TAIGA experiment (2020) Journal of Instrumentation, 15 (9), art. no. C09037.
• Astapov I, et al. Optimization of electromagnetic and hadronic extensive air shower identification using the muon detectors of the TAIGA experiment (2020) Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 952, art. no. 161730.