This thread ties into this thread discussing proper exposure of flats:
So...I determined that, as described in post #12 (https://www.cloudyni...flat/?p=9267915) I would expose my flats to get ≈0.125 Mean Result.
Here is a screenshot of the PI Image Statistics of one of the flats as it was being taken:
The histogram shown in BYEOS looked something like I thought it should (R and B at 50%, with G somewhat higher since it has two pixels per R/B):
BUT when I open the flats in PI now, I get this:
Can someone please explain where 60% of the value went?
This is the SECOND set that acts the exact same way.
I believe a .05 Mean Flat isn't good enough for calibration. Am I wrong?
I did no processing to the Flat, just a stretch for this post.
Am I doing something wrong in stat analysis in PI? The histogram in BYEOS looks good, I think.?.?? Am I asking the wrong questions?
Thanks for any help you can give solving this flat conundrum.