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For outlier detection in TSO mode, the weight array is always just a DQ mask, so its values are either 0 or 1. It is then passed into a function that compares the weights with a threshold set by the maskpt parameter here. But this is confusing, and renders the maskpt essentially pointless for any reasonable value, because all the weights are either 0 or 1. That parameter should be removed as an input to the TSO mode, and the call to compute_weight_threshold should be replaced with something that more clearly indicates what actually happens.
edit: the same appears to be true for coronagraphic data
The text was updated successfully, but these errors were encountered:
For outlier detection in TSO mode, the weight array is always just a DQ mask, so its values are either 0 or 1. It is then passed into a function that compares the weights with a threshold set by the
maskpt
parameter here. But this is confusing, and renders themaskpt
essentially pointless for any reasonable value, because all the weights are either 0 or 1. That parameter should be removed as an input to the TSO mode, and the call tocompute_weight_threshold
should be replaced with something that more clearly indicates what actually happens.edit: the same appears to be true for coronagraphic data
The text was updated successfully, but these errors were encountered: