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It’s a bit of an art I think.
Given the obstacles we face: lack of imaging time,
Cloud, unexpected cloud, fog, issues with gear and software
It all seems to conspire against getting an image.
So keeping that in mind you could simply experiment
On a largish data set what improvement you get by getting
Tighter with FWHM and see.
The biggest gains I see are deleting partial cloud affected subs.
They can give weird gradients and colours.
Tighter stars are going to give a gain but at what point is there
Diminishing returns and leaving out exposures on skimpy
Data is a recipe for excessive noise in the image.
Mono camera filtered imaging is also very vulnerable.
You get a nice set but no or little red for example.
Not sure there is a pat formula.
Greg
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