The superiority of maximum entropy power spectrum techniques applied to geomagnetic micropulsations

Computer Science – Graphics

Scientific paper

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Earth Magnetosphere, Geomagnetic Micropulsations, Power Spectra, Spectrum Analysis, Time Series Analysis, Computer Graphics, Data Reduction, Entropy, Error Analysis, Geomagnetism, Magnetic Storms, Prediction Analysis Techniques

Scientific paper

Several methods of spectrum analysis have been applied to a micropulsation event associated with a magnetospheric substorm. The micropulsations were detected and recorded at Sudbury, Massachusetts, U.S.A. (53.9 degrees N, 357.1 degrees E, geomagnetic coordinates). The data sample is for the period 0630-0900 UT on September 1, 1970 which includes most of an isolated substorm which was preceded by low levels of magnetic activity (Kp = 1 degree, 0300-0600 UT). Spectra were obtained using 15-min segments of low pass filtered and digitized data for the two horizontal magnetic field components. A dynamic spectrum was obtained by moving the data window by increments of 1 min through the data set. The results show that methods based on the maximum-entropy principle yield higher resolution than the traditional techniques. Multiplet structure, predicted by recent micropulsation theories, is sharply resolved by maximum-entropy techniques.

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