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  1. Monte Carlo simulation of specific features of radiation regime in water layer caused by clouds and roughness of the water surface

    Kablukova, E. G. & Prigarin, S. M., 1 Jan 2017, 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Matvienko, GG. & Romanovskii, OA. (eds.). The International Society for Optical Engineering, Vol. 10466. p. 157 8 p. 104661L. (Proceedings of SPIE; vol. 10466).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  2. Monte Carlo simulation of the effects caused by multiple scattering of ground-based and spaceborne lidar pulses in clouds

    Prigarin, S. M., 1 Jan 2017, In: Atmospheric and Oceanic Optics. 30, 1, p. 79-83 5 p.

    Research output: Contribution to journal › Article › peer-review

  3. Monte Carlo simulation of the joint non-Gaussian periodically correlated time-series of air temperature and relative humidity

    Kargapolova, N., Khlebnikova, E. & Ogorodnikov, V., 1 Dec 2018, In: Statistical Papers. 59, 4, p. 1471-1481 11 p.

    Research output: Contribution to journal › Article › peer-review

  4. Monte Carlo simulation of the laser pulse propagation in water layers with reflection on boundaries

    Mironova, D. E. & Prigarin, S. M., 4 Jan 2021, In: Journal of Physics: Conference Series. 1715, 1, 012065.

    Research output: Contribution to journal › Conference article › peer-review

  5. Monte Carlo simulation of the optical radiation transfer process in stochastic scattering media

    Kargin, B. A., Kablukova, E. G. & Zhen, P., 2021, In: Communications in Statistics: Simulation and Computation. 50, 12, p. 3984-3991 8 p.

    Research output: Contribution to journal › Article › peer-review

  6. Monte Carlo Simulation of the TAIGA Experiment

    the TAIGA Collaboration, 1 Aug 2019, In: Bulletin of the Russian Academy of Sciences: Physics. 83, 8, p. 955-958 4 p.

    Research output: Contribution to journal › Article › peer-review

  7. Monte Carlo Simulation of Wide-Angle Lidar Signals

    Prigarin, S. M. & Mironova, D. E., Jun 2024, In: Numerical Analysis and Applications. 17, 2, p. 188-195 8 p.

    Research output: Contribution to journal › Article › peer-review

  8. Monte Carlo simulations of Heisenberg magnets by the Wang-Landau method

    Lozhnikov, V. E., Prudnikov, P. V., Mamonova, M. V., Sorokin, A. V. & Baksheev, G. G., 28 Nov 2019, In: Journal of Physics: Conference Series. 1389, 1, 6 p., 012012.

    Research output: Contribution to journal › Conference article › peer-review

  9. Monte Carlo solvers of large linear systems with Toeplitz matrices, preconditioning, iterative refinement with applications to integral equations and acoustic inverse problem

    Sabelfeld, K. K. & Shafigulin, I., 22 May 2025, In: Monte Carlo Methods and Applications.

    Research output: Contribution to journal › Article › peer-review

  10. Monte Carlo study of lidar returns depending on the cloud optical depth

    Kablukova, E. G. & Prigarin, S. M., 2023, Proceedings of SPIE - The International Society for Optical Engineering. The International Society for Optical Engineering, Vol. 12780. 7 p. 127801A

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

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