Персона: Тетерин, Пётр Евгеньевич
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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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Пётр Евгеньевич
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- ПубликацияТолько метаданныеThe SHiP experiment at the proposed CERN SPS Beam Dump Facility(2022) Ahdida, C.; Akmete, A.; Albanese, R.; Alt, J.; Atkin, E.; Dmitrenko, V.; Etenko, A.; Fillipov, K.; Grachev, V.; Kudenko, Y.; Polukhina, N.; Samsonov, V.; Shustov, A.; Skorokhvatov, M.; Smirnov, S.; Teterin, P.; Ulin, S.; Uteshev, Z.; Vlasik, K.; Аткин, Эдуард Викторович; Дмитренко, Валерий Васильевич; Этенко, Александр Владимирович; Грачев, Виктор Михайлович; Куденко, Юрий Григорьевич; Полухина, Наталья Геннадьевна; Шустов, Александр Евгеньевич; Скорохватов, Михаил Дмитриевич; Смирнов, Сергей Юрьевич; Тетерин, Пётр Евгеньевич; Улин, Сергей Евгеньевич; Утешев, Зияэтдин Мухамедович; Власик, Константин Федорович© 2022, The Author(s).The Search for Hidden Particles (SHiP) Collaboration has proposed a general-purpose experimental facility operating in beam-dump mode at the CERN SPS accelerator to search for light, feebly interacting particles. In the baseline configuration, the SHiP experiment incorporates two complementary detectors. The upstream detector is designed for recoil signatures of light dark matter (LDM) scattering and for neutrino physics, in particular with tau neutrinos. It consists of a spectrometer magnet housing a layered detector system with high-density LDM/neutrino target plates, emulsion-film technology and electronic high-precision tracking. The total detector target mass amounts to about eight tonnes. The downstream detector system aims at measuring visible decays of feebly interacting particles to both fully reconstructed final states and to partially reconstructed final states with neutrinos, in a nearly background-free environment. The detector consists of a 50m long decay volume under vacuum followed by a spectrometer and particle identification system with a rectangular acceptance of 5 m in width and 10 m in height. Using the high-intensity beam of 400GeV protons, the experiment aims at profiting from the 4 × 10 19 protons per year that are currently unexploited at the SPS, over a period of 5–10 years. This allows probing dark photons, dark scalars and pseudo-scalars, and heavy neutral leptons with GeV-scale masses in the direct searches at sensitivities that largely exceed those of existing and projected experiments. The sensitivity to light dark matter through scattering reaches well below the dark matter relic density limits in the range from a few MeV/c2 up to 100 MeV-scale masses, and it will be possible to study tau neutrino interactions with unprecedented statistics. This paper describes the SHiP experiment baseline setup and the detector systems, together with performance results from prototypes in test beams, as it was prepared for the 2020 Update of the European Strategy for Particle Physics. The expected detector performance from simulation is summarised at the end.
- ПубликацияТолько метаданныеChest x-ray image classification for viral pneumonia and Сovid-19 using neural networks(2021) Efremtsev, V. G.; Efremtsev, N. G.; Teterin, E. P.; Bazavluk, E. S.; Teterin, P. E.; Тетерин, Пётр Евгеньевич© 2021, Institution of Russian Academy of Sciences. All rights reserved.The use of neural networks to detect differences in radiographic images of patients with pneumonia and COVID-19 is demonstrated. For the optimal selection of resize and neural network architecture parameters, hyperparameters, and adaptive image brightness adjustment, precision, re-call, and f1-score metrics are used. The high values of these metrics of classification quality (> 0.91) strongly indicate a reliable difference between radiographic images of patients with pneumonia and patients with COVID-19, which opens up the possibility of creating a model with good predictive ability without involving ready-to-use complex models and without pre-training on third-party data, which is promising for the development of sensitive and reliable COVID-19 ex-press-diagnostic methods.
- ПубликацияТолько метаданныеThe SPD Beam-Beam Counter Scintillation Detector Prototype Tests with FERS-5200 Front-End Readout System(2024) Tishevsky, A. V.; Dubinin, F. A.; Nigmatkulov, G. A.; Teterin, P. E.; Zakharov, A. M.; Дубинин, Филипп Андреевич; Нигматкулов, Григорий Александрович; Тетерин, Пётр Евгеньевич; Захаров, Арсений Михайлович
- ПубликацияТолько метаданныеThe magnet of the scattering and neutrino detector for the SHiP experiment at CERN(2020) Ahdida, C.; Albanese, R.; Alexandrov, A.; Anokhina, A.; Atkin, E.; Dmitrenko, V.; Etenko, A.; Filippov, K.; Gavrilov, G.; Grachev, V.; Kudenko, Y.; Novikov, A.; Polukhina, N.; Samsonov, V.; Shustov, A.; Skorokhvatov, M.; Smirnov, S.; Teterin, P.; Ulin, S.; Uteshev, Z.; Vlasik, K.; Аткин, Эдуард Викторович; Дмитренко, Валерий Васильевич; Этенко, Александр Владимирович; Грачев, Виктор Михайлович; Куденко, Юрий Григорьевич; Полухина, Наталья Геннадьевна; Шустов, Александр Евгеньевич; Скорохватов, Михаил Дмитриевич; Смирнов, Сергей Юрьевич; Тетерин, Пётр Евгеньевич; Улин, Сергей Евгеньевич; Утешев, Зияэтдин Мухамедович; Власик, Константин Федорович© 2020 CERN. Published by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.The Search for Hidden Particles (SHiP) experiment proposal at CERN demands a dedicated dipole magnet for its scattering and neutrino detector. This requires a very large volume to be uniformly magnetized at B > 1.2 T, with constraints regarding the inner instrumented volume as well as the external region, where no massive structures are allowed and only an extremely low stray field is admitted. In this paper we report the main technical challenges and the relevant design options providing a comprehensive design for the magnet of the SHiP Scattering and Neutrino Detector.
- ПубликацияТолько метаданныеSensitivity of the SHiP experiment to light dark matter(2021) Ahdida, C.; Akmete, A.; Albanese, R.; Alexandrov, A.; Atkin, E.; Dmitrenko, V.; Etenko, A.; Filippov, K.; Grachev, V.; Kudenko, Y.; Novikov, A.; Polukhina, N.; Samsonov, V.; Shustov, A.; Skorokhvatov, M.; Smirnov, S.; Teterin, P.; Ulin, S.; Uteshev, Z.; Vlasik, K.; Аткин, Эдуард Викторович; Дмитренко, Валерий Васильевич; Этенко, Александр Владимирович; Грачев, Виктор Михайлович; Куденко, Юрий Григорьевич; Полухина, Наталья Геннадьевна; Шустов, Александр Евгеньевич; Скорохватов, Михаил Дмитриевич; Смирнов, Сергей Юрьевич; Тетерин, Пётр Евгеньевич; Улин, Сергей Евгеньевич; Утешев, Зияэтдин Мухамедович; Власик, Константин Федорович© 2021, The Author(s).Dark matter is a well-established theoretical addition to the Standard Model supported by many observations in modern astrophysics and cosmology. In this context, the existence of weakly interacting massive particles represents an appealing solution to the observed thermal relic in the Universe. Indeed, a large experimental campaign is ongoing for the detection of such particles in the sub-GeV mass range. Adopting the benchmark scenario for light dark matter particles produced in the decay of a dark photon, with αD = 0.1 and mA′ = 3mχ, we study the potential of the SHiP experiment to detect such elusive particles through its Scattering and Neutrino detector (SND). In its 5-years run, corresponding to 2 · 1020 protons on target from the CERN SPS, we find that SHiP will improve the current limits in the mass range for the dark matter from about 1 MeV to 300 MeV. In particular, we show that SHiP will probe the thermal target for Majorana candidates in most of this mass window and even reach the Pseudo-Dirac thermal relic. [Figure not available: see fulltext.]
- ПубликацияТолько метаданныеPrototype of Scintillation Detector for Extended Version of BBC Subsystem in SPD Detector(2025) Tishevsky, A. V.; Dubinin, F. A.; Gurchin, Yu. V.; Nigmatkulov, G. A.; Teterin, P. E.; Zakharov, A. M.; Дубинин, Филипп Андреевич; Нигматкулов, Григорий Александрович; Тетерин, Пётр Евгеньевич; Захаров, Арсений Михайлович
- ПубликацияТолько метаданныеDeep learning application for box-office evaluation of images(2020) Efremtsev, V. G.; Efremtsev, N. G.; Teterin, E. P.; Gantsovsky, V. V.; Teterin, P. E.; Тетерин, Пётр Евгеньевич© 2020, Institution of Russian Academy of Sciences. All rights reserved.The possibility of application a convolutional neural network to assess the box-office effect of digital images is reviewed. We studied various conditions for sample preparation, optimizer algorithms, the number of pixels in the samples, the size of the training sample, color schemes, compression quality, and other photometric parameters in view of effect on training the neural network. Due to the proposed preliminary data preparation, the optimum of the architecture and hy-perparameters of the neural network we achieved a classification accuracy of at least 98%.
- ПубликацияТолько метаданныеMaterial Selection of the SPD Beam-Beam Counter Scintillation Detector Prototype(2024) Zakharov, A. M.; Dubinin, F. A.; Manakonov, A. D.; Nigmatkulov, G. A.; Teterin, P. E.; Zhurkina, A. O.; Захаров, Арсений Михайлович; Дубинин, Филипп Андреевич; Нигматкулов, Григорий Александрович; Тетерин, Пётр Евгеньевич
- ПубликацияТолько метаданныеTrack reconstruction and matching between emulsion and silicon pixel detectors for the SHiP-charm experiment(2022) Ahdida, C.; Akmete, A.; Albanese, R.; Alt, J.; Atkin, E.; Dmitrenko, V.; Etenko, A.; Fillipov, K.; Grachev, V.; Kudenko, Y.; Polukhina, N.; Samsonov, V.; Shustov, A.; Skorokhvatov, M.; Smirnov, S.; Teterin, P.; Ulin, S.; Uteshev, Z.; Vlasik, K.; Аткин, Эдуард Викторович; Дмитренко, Валерий Васильевич; Этенко, Александр Владимирович; Грачев, Виктор Михайлович; Куденко, Юрий Григорьевич; Полухина, Наталья Геннадьевна; Шустов, Александр Евгеньевич; Скорохватов, Михаил Дмитриевич; Смирнов, Сергей Юрьевич; Тетерин, Пётр Евгеньевич; Улин, Сергей Евгеньевич; Утешев, Зияэтдин Мухамедович; Власик, Константин Федорович© 2022 CERN.In July 2018 an optimization run for the proposed charm cross section measurement for SHiP was performed at the CERN SPS. A heavy, moving target instrumented with nuclear emulsion films followed by a silicon pixel tracker was installed in front of the Goliath magnet at the H4 proton beam-line. Behind the magnet, scintillating-fibre, drift-tube and RPC detectors were placed. The purpose of this run was to validate the measurement's feasibility, to develop the required analysis tools and fine-tune the detector layout. In this paper, we present the track reconstruction in the pixel tracker and the track matching with the moving emulsion detector. The pixel detector performed as expected and it is shown that, after proper alignment, a vertex matching rate of 87% is achieved.
- ПубликацияТолько метаданныеThe Method for Estimating the Performance of the Optical and Electronic Path of the BBC Subsystem in the SPD Detector(2026) Tishevsky, A. V.; Volkov, I. S.; Dubinin, F. A.; Durov, A. I.; Doronin, S. A.; Tertyshnaya, K. A.; Teterin, P. E.; Zakharov, A. M.; Shafikova, D. R.; Дубинин, Филипп Андреевич; Дуров, Андрей Ильич; Доронин, Семен Александрович; Тертышная, Ксения Алексеевна; Тетерин, Пётр Евгеньевич; Захаров, Арсений Михайлович; Шафикова, Дина Рашидовна