Analysis of cosmic ray dynamics and ionospheric parameters during increased solar activity and magnetic storms

Дмитриев²

2020

Self Cite

An automated method is proposed for assessing the state of the cosmic ray flux on the base of neural networks. The method allows using the data of neutron monitors to determine the state of the cosmic ray flux in accordance with the a priori specified states of the neural network. The paper evaluates the method and presents the results of its application during periods of increased solar activity and magnetic storms. The possibility of realizing the method on-line is demonstrated.

Estimation of the state of the cosmic ray flux based on neural networks

Дмитриев²

2020

Self Cite

An automated method for detecting sporadic effects in cosmic rays

Geppener

2020

Self Cite

The paper proposes an automated method for analyzing data from neutron monitors and detecting sporadic effects in the dynamics of cosmic rays. The method is based on the use of LVQ neural networks and wavelet transform constructions. It is shown that the method allows detecting sporadic effects of different amplitudes and durations and evaluating their parameters. A numerical implementation of procedures for detecting sporadic effects and assessing their intensity is carried out. The questions of choosing the parameters of algorithms are investigated and ways of their optimization are proposed. On the example of the April 13-14 2013 and March 8-9 2014 events, the effectiveness of the method for detecting sporadic effects in cosmic rays preceding and accompanying magnetic storms is shown.

Regression analysis of ionospheric disturbance factors

Polozov

2020

Self Cite

Investigation of interactions of the near-planet space parameters, Earth magnetic field and ionospheric parameters are of interest in the tasks of solar-terrestrial physics and applied researches related to space weather. Ionosphere is one of the important factors of space weather. Functioning of modern ground- and satellite-based engineering facilities depends much on its state. The paper makes a statistical estimate and analyzes complex effect from interplanetary magnetic field parameters, solar radiation and geomagnetic data on ionospheric disturbance development. Ionospheric disturbances were estimated on the basis of the method developed by the authors. The method applies wavelet transform and adaptive thresholds. The most significant factors of ionospheric disturbance occurrences were detected during the investigation and their significance was evaluated.