1.62sec while in the original *’long’* sample there are 695 pulses with an average width of 1.39sec. The burst duration is affected by the noise as well, it becomes shorter. This happens when the first or the last pulses of the burst are lost.

These two effects (pulse widening and shorter burst duration) tend to increase the value of $ \delta t_{min}/T $. Fig. \[noisy VS longs Fig\]b show that $ \delta t_{min}/T $ increases by a factor of 10 in average, due to the noise. Thus the ratio $\delta t_{min} /T$ obtained from a noisy data can be considered as an upper limit to the real ratio.

Attributes of short bursts pulses\[shorts result\]
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We have applied the same algorithm to the *‘short*’ data sample. The pulses widths are shown as a function of the bursts duration in Fig \[shorts pulse width fig\] . The gray areas are not allowed because of the resolution ($ \delta t>4ms $) or simply by ($ \delta t\leq T $). Fig \[shorts pulse width fig\]b depicts the distribution of the pulses width, $ \delta t $. One can see that typical values of $ \delta t $ are 50-100 ms with no significant 