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Frames averager can output additional uncertainty estimates #121
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You're correct, if Am I correct in understanding that in addition to outputting the averaged values you would like to output the standard deviation / variance of the input frames? This would make for a trivial addition which I am happy to do, but I am unsure as to how you intend to use these downstream, could you possibly elaborate on this a bit further? |
Your understanding is correct. We initially only start with (Poisson) counting statistics-based uncertainty estimates, and propagate these. Poisson statistics are the smallest possible uncertainty estimate. However, there can be other sources of uncertainty that bring the actual uncertainty up. These actual uncertainties can occasionally be determined, for example by comparing multiple ostensibly identical frames. we then get additional estimates for the uncertainties, for example by looking at the SEM or STD. So we end up with multiple uncertainty arrays. These can be used later on, either for:
so as indicated in #123 , we would need to be able to add a list of uncertainties to each dataset, rather than trying to encapsulate all uncertainties in a single array. |
Blocked by DiamondLightSource/numcertain#77 |
I'm assuming Frames averager propagates uncertainties...
However, in addition, it can output not just the mean but also the standard deviation, or (🍻) the standard error on the mean. Those actual uncertainties can be used to replace or be compared with the theoretical uncertainties at a later stage.
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