are called quiescent times. In order to avoid false peaks in long bursts $ \textrm{N}_{\textrm{var }} $must be large($ \geq 7 $), which means an insensitive algorithm. Short bursts contain less quiescent times, and of course shorter ones. But, short bursts contain much less pulses then long burst (three to four compared to an average of more than thirty) and much smaller S/N. Finding even one false peak could change the features of the burst drastically. Too insensitive algorithm could loose all the burst structure. In order to avoid false peaks in short bursts $ \textrm{N}_{\textrm{var }} $must be at least as large as 5. As described in section \[shorts\], the S/N in some of the bright short bursts is smaller than 5. Such $ N_{var} $ will prevent the algorithm from finding even one peak in these bursts.

We solved the first problem by analyzing the data in different resolutions. The results of the algorithm in different resolutions are merged into a single sample of peaks. We solved the second problem by restricting the search for peaks only to ‘Active Periods’. Active periods are periods with counts that correspond to source activity (we will define it later on).

There 