Dr. Susanna Z. Bekker Profile

Dr. Susanna Z. Bekker

at Sadovsky Institute of Geosphere Dynamics

SPIE Involvement:

Author

Publications (13)

Proceedings Article | 17 October 2023 Paper

Influence of atmospheric parameters variations on the accuracy of calculation of the electron concentration in the D-region

S. Bekker, E. Kozakova

Proceedings Volume 12780, 127806O (2023) https://doi.org/10.1117/12.2687824

KEYWORDS: X-rays, Ions, Data modeling, Ionization, Atmospheric propagation, Satellites, Modeling, Wave propagation

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Proceedings Article | 8 December 2022 Paper

Study of the dynamics of the ions and electrons concentration in the lower ionosphere during x-ray flares

S. Bekker, A. Lyakhov

Proceedings Volume 12341, 1234174 (2022) https://doi.org/10.1117/12.2644453

KEYWORDS: Ions, Electrons, Solar radiation models, X-rays, Systems modeling, Data modeling, Ionization, Differential equations, Wave propagation

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Proceedings Article | 16 December 2021 Paper

Estimation of the dynamics of electron concentration by different plasma-chemical models of the lower ionosphere

S. Bekker, I. Ryakhovsky

Proceedings Volume 11916, 119168B (2021) https://doi.org/10.1117/12.2603474

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Proceedings Article | 16 December 2021 Paper

Concentration distribution of electrons in the lower and upper ionosphere during the X-class solar flare 10.06.2014

I. Ryakhovskiy, S. Bekker, B. Gavrilov, Yu. Poklad

Proceedings Volume 11916, 1191689 (2021) https://doi.org/10.1117/12.2603452

KEYWORDS: Electrons, Solar processes, Satellite navigation systems, X-rays, Receivers, Solar radiation, Satellites, Observatories, Ionization, Atmospheric propagation

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Proceedings Article | 16 December 2021 Paper

Studies of the state and dynamics of the mid-latitude ionosphere according to the data of the radiophysical complex in the Geophysical Observatory Mikhnevo

I. Ryakhovskiy, B. Gavrilov, Yu. Poklad, S. Bekker, V. Ermak

Proceedings Volume 11916, 1191673 (2021) https://doi.org/10.1117/12.2603443

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Proceedings Article | 12 November 2020 Paper

Mid-latitude ionospheric TEC variations during the period from 2016 to 2019 using GNSS data from the geophysical observatory Mikhnevo

M. Plaksina, I. Ryakhovskiy, B. Gavrilov, Yu. Poklad, S. Bekker

Proceedings Volume 11560, 115608J (2020) https://doi.org/10.1117/12.2575526

KEYWORDS: Satellite navigation systems, Receivers, Ultraviolet radiation, Solar radiation, Observatories, Phase measurement, Sun, Solar processes, Software development

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Proceedings Article | 12 November 2020 Paper

Methodology of the lower ionosphere models verification based on VLF radio wave propagation during x-ray flares

S. Bekker, I. Ryakhovsky

Proceedings Volume 11560, 115607T (2020) https://doi.org/10.1117/12.2574613

KEYWORDS: Solar radiation models, Transmitters, X-rays, Wave propagation, Data modeling, Solar processes, Observatories, Satellites, Ionization

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Proceedings Article | 18 December 2019 Paper

Determination of absolute values of TEC according to data of GNSS receivers located in one measuring point

Iliya Ryakhovskiy, B. Gavrilov, A. Lyakhov, Y. Poklad, S. Bekker

Proceedings Volume 11208, 112089F (2019) https://doi.org/10.1117/12.2540899

KEYWORDS: Receivers, Satellite navigation systems, Satellites, Global Positioning System, Signal processing, Tomography, Data corrections, Spatial resolution, Radio propagation, MATLAB

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Proceedings Article | 18 December 2019 Paper

The comparison of standard and swarm D-layer ionosphere models on the simulation of the x-ray solar flare response

Andrey Lyakhov, Stanislav Kozlov, Tatiana Losseva, Susanna Bekker, Julia Korsunskaya, Boris Gavrilov, Valery Kudryavtsev, Egor Goncharov

Proceedings Volume 11208, 112088Z (2019) https://doi.org/10.1117/12.2540423

KEYWORDS: Solar radiation models, X-rays, Ionization, Ions, Atmospheric modeling

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The contemporary study of the global change of the atmosphere raise up the problem of models verification, namely, we need the quantified metric to compare models. One of such simple approach is to use the evidence on VLF-LF propagation under the X-ray solar flares. Any flare impacts on the middle atmosphere up to 60 km altitude. Its signature in amplitude record is clear and identifiable. We have a variety of radio paths and any season (or even year of solar cycle) in database. All aforementioned arguments make the strong basis for the model check. The response of the lower ionosphere and middle atmosphere to a solar flare depends on the quality of the source term definition and on the correctness of the chemical processes description. Different approaches are known for the derivation of X-ray excess ionization, varying from classic approach¹ to huge Monte Carlo simulations.² We elaborated the numerical model which is combined from an empirical model of ionization (GOES X-ray measurements) and numerical VLF propagation code.³ It successfully reproduced the first phase of the lower ionosphere response to the extremely strong solar X-flare (X9.9) September 06, 2017. Meanwhile, the decay phase was overestimated. Thus we decided to improve the ionosphere model and compare our model with other popular ionization schemes under the flares of various class. Moreover, all ionospheric models under analysis were realised in two modes: the standard mode with constant chemical rates and in the swarm mode with rates dependence on the altitude and ionization rate. The latter have been received in 70-s from complex kinetic simulations of the high altitude nuclear explosion impact on the ionosphere.⁴ We expected the improvement of results for intense flares and we wanted to check the quality of contemporary and old ionosphere models on the modern data. The results prove that (a) all models failed under empirical model of ionization; (b) the most promising model is IDG5 in swarm mode; (c) the problem of the minor neutrals is overestimated.

Proceedings Article | 18 December 2019 Paper

Analysis of the probability density functions obtained from the probabilistic-statistical models of the lower ionosphere

S. Bekker, A. Lyakhov

Proceedings Volume 11208, 112089K (2019) https://doi.org/10.1117/12.2540951

KEYWORDS: Ionization, Data modeling, Ions, Probability theory, Databases, Differential equations

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Proceedings Article | 13 December 2018 Paper

Verification of the deterministic-probabilistic model of the D–region of the ionosphere by the radio physical data obtained in the geophysical observatory Mikhnevo

S. Bekker, A. Lyakhov, S. Kozlov, I. Ryakhovsky

Proceedings Volume 10833, 108339P (2018) https://doi.org/10.1117/12.2504295

KEYWORDS: Data modeling, Transmitters, Observatories, Ionization, Solar processes, Systems modeling, Databases, Wave propagation, Differential equations

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Proceedings Article | 13 December 2018 Paper

The requirement justification to the ionosphere models for the UHF-SHF radars

S. Kozlov, A. Lyakhov, S. Yakubovskiy, S. Bekker, B. Gavrilov, Y. Poklad, V. Ermak

Proceedings Volume 10833, 108339O (2018) https://doi.org/10.1117/12.2504294

KEYWORDS: Radar, Error analysis, Data modeling, Computer simulations, Numerical simulations, Wave propagation, Radio propagation, Refraction, Optimization (mathematics), Refractive index

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Proceedings Article | 13 December 2018 Paper

Ionization of the lower ionosphere during the x-ray solar flare on September 6, 2017

I. Ryakhovskiy, B. Gavrilov, A. Lyakhov, Y. Poklad, S. Bekker, S. Kozlov

Proceedings Volume 10833, 108339Y (2018) https://doi.org/10.1117/12.2504402

KEYWORDS: X-rays, Neon, Satellites, Solar processes, Ionization, Receivers, Satellite navigation systems, Waveguides, Ultraviolet radiation, Wave propagation

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Showing 5 of 13 publications

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