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Currently the pipeline assumes a single transfer function for all power spectra (essentially assuming equivalent filtering across all maps). We should generalise it to ensure a transfer function can be calculated for any power spectrum combination.
The text was updated successfully, but these errors were encountered:
so, I'm thinking, there's an easy generalisation of the pipeline structure if we need to worry about multiple transfer functions
basically we associate filterings with tags, but that association can be one-to-many
i.e. one filtering can be associated to many tags (in our case, a single filtering is associated to all tags)
then, we only calculate the transfer functions for tag combinations that have distinct filtering pairs (which, in our case, is a single transfer function)
Currently the pipeline assumes a single transfer function for all power spectra (essentially assuming equivalent filtering across all maps). We should generalise it to ensure a transfer function can be calculated for any power spectrum combination.
The text was updated successfully, but these errors were encountered: