Thanks all for the feedback. PI would not be an issue as it can stack an industrial quantity of frames because of its batch like processes. CCDStack needs to load them all in RAM prior to do any manipulation on the stack.
Quote:
Originally Posted by RickS
A single large stack will always give the best result. It has the most information possible for the normalisation and rejection algorithms to chew on. It also offers the most consistent weighting of subs.
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Yes, my thoughts exactly. So to mitigate the variability of quality in 10 nights, let's say I have 10 sets/sessions of ~50x10min; if I grade, register and take 5 calibrated subs of each set and make 10 new batches of 50 subs my new batches will contain roughly the same range of "good and bad" frames. So when I create my masters from the batches they should be more or less similar SNR? Would that be a better, more uniform, approach to this?
Also you said you'd do a straight combine of the masters, without data rejection this time. Any reason? Would you reject too much overall?