A method for Identifying the Effects of Nonstationarity in the Radio Emission from Nearby Stellar Systems in Spaced Observations

Abstract

We describe a method for processing the records produced on two (as well as a larger number) RT32 radio telescopes at the Badary and Zelenchukskaya observatories of the Institute of Applied Astronomy of RAS (IAA RAS) with broadband continuous spectrum receivers at wavelengths of 6.2 and 3.5 cm in the circular polarization receiving mode. The method is based on the calculation of the cross-correlation matrix for the Pearson correlation coefficients, where the horizontal elements are the coefficients of the simultaneous groups of samples in a sliding time window, and the vertical variable is its width. Our software implementation of the method in Python, PICASO (Pearson Image Correlation Array Stars Observing), allows the result of the calculations to be displayed in the form of a triangular image of correlation levels in grayscale or in pseudocolor. The examples of processed observations for the star TRAPPIST-1 with a planetary system and the quasar 3C147 are presented.