Search Results - "Vorotnikov, G."

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  1. 1

    Methodology for the Application of Deep Neural Networks in Searches for New Physics at Colliders and Statistical Interpretation of Expected Results by Abasov, E. E., Belobrova, M. I., Volkov, P. V., Vorotnikov, G. A., Dudko, L. V., Zaborenko, A. D., Perfilov, M. A., Sivakova, E. S.

    Published in Physics of atomic nuclei (01-12-2022)
    “…Methods for the application of neural networks in searches for new physics in collider experiments are described. Mechanisms of selecting observables,…”
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    Journal Article
  2. 2

    Eligibility of EFT Approach to Search for tqg FCNC Phenomenon by Boos, E. E., Bunichev, V. E., Dudko, L. V., Perfilov, M. A., Vorotnikov, G. A.

    Published in Physics of atomic nuclei (01-11-2020)
    “…The Effective Field Theory (EFT) approach is widely used in the search for possible deviations from the predictions of the Standard Model. Such an…”
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    Journal Article
  3. 3
  4. 4

    Eligibility of EFT approach to search for tqg FCNC phenomenon by Boos, E. E, Bunichev, V. E, Dudko, L. V, Perfilov, M. A, Vorotnikov, G. A

    Published 12-05-2020
    “…Physics of Atomic Nuclei, 2020, Vol.83, No 6, pp. 921-925 The Effective Field Theory (EFT) approach is widely used in the search for possible deviations from…”
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    Journal Article
  5. 5

    Thermodynamic cycle of the traveling wave thermoacoustic engine by Vorotnikov, G.V., Zinovyev, E.A., Nekrasova, S.O.

    Published in Case studies in thermal engineering (01-08-2022)
    “…The paper presents a new numerical solution as a method for the thermodynamic cycle of a thermoacoustic engine estimation. A mathematical solution for…”
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    Journal Article
  6. 6

    Gas oscillations in an annular channel induced by a longitudinal temperature gradient by Vorotnikov, Gennady Viktorovich, Zinovyev, Evgeniy Aleksandrovich, Nekrasova, Svetlana Olegovna

    “…Background and Objectives: When selecting the design and layout scheme of the thermoacoustic converter, special requirements include the placement of heat…”
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    Journal Article
  7. 7

    Application of Kolmogorov-Arnold Networks in high energy physics by Abasov, E, Volkov, P, Vorotnikov, G, Dudko, L, Zaborenko, A, Iudin, E, Markina, A, Perfilov, M

    Published 03-09-2024
    “…Kolmogorov-Arnold Networks represent a recent advancement in machine learning, with the potential to outperform traditional perceptron-based neural networks…”
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    Journal Article
  8. 8

    Angular correlations in associated top-quark and dark matter production at Large Hadron Collider by Abasov, E, Boos, E, Bunichev, V, Volkov, P, Vorotnikov, G, Dudko, L, Zaborenko, A, Iudin, E, Markina, A, Perfilov, M

    Published 25-09-2024
    “…In the paper, we consider the processes of single top-quark production in association with dark matter particles through the t-channel in simplified models…”
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    Journal Article
  9. 9

    Search for dark matter mediator in the production of three and four top quarks by Abasov, E, Boos, E, Bunichev, V, Volkov, P, Vorotnikov, G, Dudko, L, Zaborenko, A, Iudin, E, Markina, A, Perfilov, M, Savkova, N

    Published 11-07-2024
    “…In the context of simplified models of dark matter, the contributions of a scalar mediator to top quark production processes are considered. Tree-level and…”
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    Journal Article
  10. 10

    Four-port network method for obtaining initial approximations in the problems of the thermoacoustic devices designing by Vorotnikov, G.V., Zinovyev, E.A.

    “…Today, the parameters of thermoacoustic devices are calculated by linearized equations of the dynamics of viscous heat-conducting gas. Such programs require…”
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    Conference Proceeding
  11. 11

    A low-temperature thermoacoustic engine by Zinovyev, E.A., Nekrasova, S.O., Vorotnikov, G.V., Dovgyallo, A.I.

    “…The article describes the traveling-wave thermoacoustic engine in which the hot heat source is at the ambient temperature (300 K), and the cold heat source has…”
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    Conference Proceeding
  12. 12

    Standard Model Physics at the HL-LHC and HE-LHC by Nason, P, Zeppenfeld, D, Bella, L. Aperio, Armbruster, A. J, de Blas, J, Bodek, A, Boos, E, Sola, J. D. Bossio, Camarda, S, Campanario, F, Campanelli, M, Cao, Q. -H, Cavaliere, V, Chargeishvili, B, Chen, S. -L, Chen, T, Ciuchini, M, Corcella, G, Cotogno, S, Cruz-Martinez, J. M, Dainese, A, Dang, N. P, Dawson, S, De la Torre, H, Derue, F, Di Ciaccio, L, Di Clemente, W. K, Dünser, M, Ferroglia, A, Figy, T. M, Finelli, K. D, Fiolhais, M. C. N, Frederix, R, Galhardo, B, Ridder, A. Gehrmann-De, Glover, E. W. N, Goodsell, M. D, Govoni, P, Goy, C, Gwenlan, C, Hirschi, V, Hoang, A, Hoepfner, K, Hogan, J. M, Jain, Sa, Kar, D, Kerner, M, Khandoga, M. K, Khanpour, H, Khatibi, S, Khukhunaishvili, A, Lechner, L, Leigh, M, Lelas, D, Les, R, Lidrych, J, Lindert, J. M, Liu, Y, Long, K, Mancini, M, McFayden, J. A, Mikhalcov, S, Najafabadi, M. Mohammadi, Llácer, M. Moreno, Mulders, M, Myska, M, Narain, M, Nisati, A, Pagani, D, Cortezon, E. Palencia, Pedro, K, Pellen, M, Perrozzi, L, Petersen, B. A, Plätzer, S, Price, A. C, Reina, L, Reuter, J, Savin, A, Sawant, S, Schäfer-Siebert, H, Seidel, M, Shears, T, Skovpen, K, Tan, P, Taus, R, Terashi, K, Terron, J, Verzetti, M, Volkov, P, Milosavljevic, M. Vranjes, Vranjes, N, Wiesemann, M, Wu, Y, Xu, T, Yacoob, S, Yazgan, E, Zahreddine, J, Zhu, H. L, Zlebcik, R

    Published 11-02-2019
    “…The successful operation of the Large Hadron Collider (LHC) and the excellent performance of the ATLAS, CMS, LHCb and ALICE detectors in Run-1 and Run-2 with…”
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    Journal Article
  13. 13

    Opportunities in Flavour Physics at the HL-LHC and HE-LHC by Cerri, A, Gligorov, V. V, Zupan, J, Altmannshofer, W, Anderlini, L, Azzi, P, Banerjee, S, Barton, A. E, Belyaev, I, Benson, S, Birnkraut, A, Borsato, M, Brodzicka, J, Cadamuro, L, Carli, I, Charles, J, Charles, M, Cliff, H, Francisco, O. A. De Aguiar, De Sanctis, U, Deschamps, O, Dettori, F, Dudko, L, Eitschberger, U, Falkowski, A, Fiorendi, S, Fitzpatrick, C, Fox, P. J, Gersabeck, M, Greljo, A, Grohsjean, A, Grossman, Y, Guadagnoli, D, Guo, F. -K, Han, T, Harnik, R, Hiller, G, Hogan, J. M, Hurth, T, Johnson, D, Jurik, N, Kagan, A. L, Kamenik, J. F, Kitahara, T, Klijnsma, T, Knecht, M, Košnik, N, Korytov, A, Langenegger, U, Leonardo, N, Li, Q, Li, T, Ligabue, F, Ligeti, Z, Mahmoudi, F, Marcano, X, Marchand, J. F, Martinelli, M, Mazumdar, K, Mitselmakher, G, Mittnacht, L, Monteil, S, Neri, N, Neubert, S, Oset, E, Ozcelik, O, Palla, F, Passemar, E, Petersen, B. A, Reboud, M, Reimers, A, Reznicek, P, Rosner, J. L, Savin, A, Schlaffer, M, Schmidt, A, Servant, G, Shih, D, Silvestrini, L, Skovpen, K, Soreq, Y, Spradlin, P, Szczepaniak, A. P, Takahashi, Y, Tresoldi, F, Turchikhin, S, Vagnoni, V, Vesterinen, M, Vorotnikov, G, Walder, J, Walkowiak, W, Wang, W, Whitehead, M, Wilkinson, G, Williams, J. M, Williams, M. R. J, Yang, Z, Yazgan, E, Yu, F, Zhang, W

    Published 18-12-2018
    “…Motivated by the success of the flavour physics programme carried out over the last decade at the Large Hadron Collider (LHC), we characterize in detail the…”
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    Journal Article
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