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Алексеев, Владислав Владимирович

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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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Алексеев
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Владислав Владимирович
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2021 - 20222
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  • Уменьшенное изображение
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    Light Nuclei Identification in Cosmic Rays in the PAMELA Experiment by Multiple Measurements of Energy Loss along the Particle Track
    (2021) Alekseev, V.; Golub, O.; Mayorov, A.; Алексеев, Владислав Владимирович; Голуб, Ольга Александровна; Майоров, Андрей Георгиевич
    © 2021.Abstract: The article presents a method for identifying light nuclei in cosmic rays from PAMELA spectrometer measurements of magnetic rigidity and energy losses of particles along the track in the time-of-flight and tracking systems. Nuclei from hydrogen to boron inclusive are separated by analyzing energy loss distributions in detector planes caused by their fluctuations. The identification quality estimate and the error (misidentification) probability are also calculated for each nucleus on the basis of Geant4 simulation data.
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    Modification of the SVD Unfolding Regularization Method
    (2022) Bogomolov, Y. V.; Alekseev, V. V.; Levanova, O. A.; Mayorov, A. G.; Maiorov, A.G.; Malakhov, V. V.; Богомолов, Юрий Викторович; Алексеев, Владислав Владимирович; Майоров, Андрей Георгиевич; Малахов, Виталий Валерьевич
    Unfolding is currently an important stage of processing experimental data, reducing the effect of errors and reconstructing approximately real distributions of quantities. Numerous approaches exist to solve this problem; in particular, they are widely used in the modern physics of atomic nuclei and elementary particles, space physics, and other related areas. However, many algorithms are not designed or are poorly adapted to reconstruct multidimensional distributions corresponding to, e.g., several characteristics of particles measured simultaneously. In this work, a method has been proposed to adapt the singular value decomposition (SVD) unfolding algorithm to the multidimensional case. The proposed modified method has been tested in application to simulation data for the cosmic ray spectrum measured in the PAMELA space experiment. This method not only makes it possible to estimate the real distribution of a multidimensional quantity (momentum and two angles specifying the direction of entering a particle into an instrument) but also provides a better result compared to the classical SVD approach in the one-dimensional case (only the momentum of the p-article). © 2022, Pleiades Publishing, Inc.