Study of the outer radiation belt of the Earth by segmentation of multi-dimensional time seriesстатья

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[1] Myagkova I. N., Dolenko S. A., Persiantsev I. G. Study of the outer radiation belt of the earth by segmentation of multi-dimensional time series // Proceedings of the 10th International Conference “Problems of Geocosmos”. — St. Petersurg, 2014. — P. 345–350. Study and prediction of the relativistic electron flux in the outer ERB is a complicated problem. This is due to the fact that Earth’s magnetosphere is a complex dynamical system. The state of this system can be described by a multi-dimensional time series, including various physical features - parameters of interplanetary magnetic field, solar wind, geomagnetic indexes, relativistic electron flux at geostationary orbit etc. Here we consider the approach to investigation of time series characterizing the dynamics of the outer ERB with the help of machine learning algorithms. To separate out such regions, in this study we used segmentation of multi-dimensional time series with the help of k-means clusterization algorithm and Kohonen neural networks. The initial data which are a multi-dimensional time series with delay embedding were split into three, four, and five clusters (segments) with Kohonen self-organizing map and k-means algorithm. The obtained variants of segmentation of the time series were compared to each other and correlated with various possible states of the outer ERB.

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