correlation with T (provided we delete the smooth single peaked bursts with $\delta t \approx T$).

The pulse width found in this analysis is influenced by several effects. Some of this effects are due to our algorithm: First, few relatively close pulses could be seen by the algorithm as a single wide pulse. Second, the width of two pulses that are not well separated is determined by the minimum between the pulses. In this case the measured width of both pulses is shorter then their actual width.

There are also observational effects that influence the pulse width: First, as indicated in section \[noisy vs longs\], the pulses become wider by a factor of few because of the noise. Second, the resolution is limited. It is likely that the shortest pulses in the *’short’* sample are shorter then the best resolution of our data. Time scales shorter then the data resolution were already found in short bursts (Scargle, Norris & Bonnel 1997).

All the effects described above except one cause pulse widening. The exception is when two pulses overlap leading to a shortening of the estimated widths of both pulses. However, this effect rarely happens in our short bursts analysis. The 