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- We'll be detecting on multiple different coadds, including:
- different filters (or combinations of filters, for different SEDs)
- different optimizations of exposure time vs. seeing
- different detection kernels (i.e. smoothing)
- likelihood (i.e. Kaiser) vs. traditional coadds
- We need to work out how we want to build all the different coadds to maximize reuse of intermediate results. Is this a detection issue? Sounds like it goes under coadd pipeline 02C.04.04.
- By the "complete" stage we need to work out which combination of things we actually want to use.
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