Studies of the distribution of the arrival times of extensive air showers from the data obtained with the eas msu setup using nonlinear analysis techniques

The results of nonlinear analysis of the times of registration of extensive air showers (EAS), obtained with the "Prototype EAS-1000" unit operating as part of the EAS MSU setup are presented. In particular, EAS clusters and also sets of showers showing signs of chaotic dynamics are detected. Possible mechanisms responsible for the emergence of these phenomena are discussed.