In Intensity II - contrary to Intensity I - the conclusion appears to be that the best
results are achieved with a large number of measurements with a short
integration time. Statistically this makes sense, the more measurements the
better defined is the distribution of values and hence the better defined is the
mean. This, after all, is the basis of Student's t distribution.
Conversely, part of the uncertainty in a small number of measurements is that
the distribution is not well defined. But there are other advantages to using a
large number of measurements. Sometimes a spike occurs in intensity
measurements. There are many possible causes of occasional spikes. The problem
is that without care they can affect the mean.
Two spikes are shown here, the other points were generated as normal noise
about a mean of 100. Such spikes can be detected in software and eliminated.