Waiting time distributions of B_s and AE extreme events.

We present a preliminary statistical study on the intermittency of B_s and AE, focusing in particular on the distributions of their respective extreme events, for different phases of the solar cycle. In order to recognize the extreme events affecting our statistics, we use a technique, called local intermittency measure (LIM), based on wavelet decomposition. Once we have selected all the extreme events we can measure the waiting time between consecutive events and build the relative distribution. Our analysis shows that these distributions are characterized by well defined power laws which would suggest the existence of long term correlations typical of turbulent processes. Moreover, we find that these distributions do not depend on the particular phase of the solar cycle considered.