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 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 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 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 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 метаданныеThe X-ray scanning technique application for sTGC detectors quality control(2020) Teterin, P.; Bressler, S.; Doronin, S.; Fillippov, K.; Romaniouk, A.; Smirnov, S.; Тетерин, Пётр Евгеньевич; Доронин, Семен Александрович; Романюк, Анатолий Самсонович; Смирнов, Сергей ЮрьевичThe gas detectors, operated under harsh radiation conditions like the one foreseen at the High Luminosity LHC (HL-LHC), must fulfill a number of stringent quality control criteria. Based on high-voltage current measurements, the X-ray scanning technique has been developed for discovery of various production defects prior to the readout electronics installation. The later usually happens at the last stage of detector assembly. Thus, it allows testing the quality of the chambers, identifying defects and when possible fixing them already at early stage.
- 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 метаданныеStudy of Wave Length Shifters for SPD BBC Scintillation Tiles Readout(2025) Dubinin, F. A.; Durov, A. I.; Levkov, A. A.; Nigmatkulov, G. A.; Teterin, P. E.; Zakharov, A. M.; Zhurkina, A. O.; Дубинин, Филипп Андреевич; Дуров, Андрей Ильич; Левков, Анатолий Александрович; Нигматкулов, Григорий Александрович; Тетерин, Пётр Евгеньевич; Захаров, Арсений Михайлович
- ПубликацияТолько метаданныеFast simulation of muons produced at the SHiP experiment using Generative Adversarial Networks(2019) Ahdida, C.; Albanese, R. M.; 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© 2019 CERN.This paper presents a fast approach to simulating muons produced in interactions of the SPS proton beams with the target of the SHiP experiment. The SHiP experiment will be able to search for new long-lived particles produced in a 400 GeV/c SPS proton beam dump and which travel distances between fifty metres and tens of kilometers. The SHiP detector needs to operate under ultra-low background conditions and requires large simulated samples of muon induced background processes. Through the use of Generative Adversarial Networks it is possible to emulate the simulation of the interaction of 400 GeV/c proton beams with the SHiP target, an otherwise computationally intensive process. For the simulation requirements of the SHiP experiment, generative networks are capable of approximating the full simulation of the dense fixed target, offering a speed increase by a factor of (106). To evaluate the performance of such an approach, comparisons of the distributions of reconstructed muon momenta in SHiP's spectrometer between samples using the full simulation and samples produced through generative models are presented. The methods discussed in this paper can be generalised and applied to modelling any non-discrete multi-dimensional distribution.
- ПубликацияТолько метаданныеSensitivity of the SHiP experiment to dark photons decaying to a pair of charged particles(2021) Ahdida, C.; Akmete, A.; Albanese, R.; Alexandrov, A.; Atkin, E.; Dmitrenko, V.; Etenko, A.; Filippov, 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© 2021, The Author(s).Dark photons are hypothetical massive vector particles that could mix with ordinary photons. The simplest theoretical model is fully characterised by only two parameters: the mass of the dark photon mγD and its mixing parameter with the photon, ε. The sensitivity of the SHiP detector is reviewed for dark photons in the mass range between 0.002 and 10 GeV. Different production mechanisms are simulated, with the dark photons decaying to pairs of visible fermions, including both leptons and quarks. Exclusion contours are presented and compared with those of past experiments. The SHiP detector is expected to have a unique sensitivity for mγD ranging between 0.8 and 3.3-0.5+0.2 GeV, and ε2 ranging between 10 - 11 and 10 - 17.