Our survey takes three 2-minute back-to-back exposures at the same pointing before slewing to a different location. Presently, the first time these three exposures are coadded by the stack is during the
coaddDriver.py stage, whereas it would save a lot of resources (disk space and processor time) if these three exposures could be median-combined post-ISR, with these combined images (and resultant source datasets) used as a
calexp images and datasets for later stages.
Does anyone know if it would be possible to do this? If so, how could I go about implementing this? I’m particularly thinking about how I would ensure the new calexp files were persisted properly for later steps (since there would no longer be a one-to-one relation between raw images and calexp images).
I’m happy to retarget to my own tasks, should it be necessary.