A Method for Local Anisotropy Recognition in Muon Fluxes Based on Matrix Observations of the URAGAN Hodoscope Using Calculations of Systems of Confidence Intervals and Spatiotemporal Filtering

A method for local intensity anisotropy recognition in muon fluxes is proposed. The method is based on the use of matrix observations of the URAGAN hodoscope. Systems of confidence intervals are calculated for the estimates of mathematical expectations of Poisson samples. The anomaly indicators are generated for reference and current segments of time series of matrix observations using the confidence intervals. Indicator matrices based on the anomaly indicators are introduced. Spatiotemporal filtering of indicator matrices is implemented in order to recognize local anisotropies. The developed method is tested on model and experimental observations.