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This repository was archived by the owner on May 11, 2026. It is now read-only.
Currently, when reducing data all three filters are aligned separately. This is not only computationally expensive, but can also cause issues if one filter has a poor SNR. It would therefore be better if only the "best" (i.e., highest SNR) filter was aligned, and then these alignments were reused for the other filters (accounting for pixel-scale differences and such).
Currently, when reducing data all three filters are aligned separately. This is not only computationally expensive, but can also cause issues if one filter has a poor SNR. It would therefore be better if only the "best" (i.e., highest SNR) filter was aligned, and then these alignments were reused for the other filters (accounting for pixel-scale differences and such).