Abstract
This paper presents analysis of the results of clusterization of the array of increases in the flux of relativistic electrons in the outer radiation belt of the Earth by two clustering algorithms. One of them is the algorithm for adaptive construction of hierarchical neural network classifiers developed by the authors, applied in clustering mode; the other one is the well-known k-means clusterization algorithm. The obtained clusters are analysed from the point of view of their possible matching to characteristic types of events, the partitions obtained by both methods are compared with each other.
Highlights
The dynamics of the system "interplanetary space –solar wind –magnetosphere of the Earth" can be described by a multivariate time series, which includes the parameters of the interplanetary magnetic field (IMF) (IMF vector modulus and its three components); velocity, density and temperature of the plasma of the solar wind (SW); geomagnetic indices: Dst, Kp and AE
The authors of this study developed the algorithm of adaptive construction of hierarchical neural network classifiers (HNNC), which is a method of construction of a neural network tree, allowing one to reduce the solution of a complex problem of classification to a sequential or parallel solution of several problems of smaller complexity
Processes in the chain "IMF – SW – magnetosphere of the Earth" are described using multivariate time series, which includes the parameters of IMF – module of the IMF vector and its three components; the parameters of the SW – velocity, density and temperature of SW plasma, and the geomagnetic indices Dst and Kp obtained from the page providing data for geomagnetism (Geomagnetic Data Service) [16], and the relativistic electrons (RE) flux of the outer ERB
Summary
The dynamics of the system "interplanetary space –solar wind –magnetosphere of the Earth" can be described by a multivariate time series, which includes the parameters of the interplanetary magnetic field (IMF) (IMF vector modulus and its three components); velocity, density and temperature of the plasma of the solar wind (SW); geomagnetic indices: Dst, Kp and AE. Strong magnetic storms can cause disruption of telegraph lines and radio communications, pipelines, power lines and power grids [1] From the foregoing it follows that the detailed study of processes occurring in the magnetosphere of the Earth, is a very important task – both from a fundamental point of view with the aim of understanding the processes of particle acceleration in the NES, and to improve methods of forecasting the values of its parameters, including those using selection of its different states. The latter can be accomplished using data clusterization algorithms
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