15th Feb 2024: Astro Pixel Processor 2.0.0-beta29 released - macOS native File Chooser, macOS CMD-Q fixed, read-only Fits on network fixed and other bug fixes
7th December 2023: added payment option Alipay to purchase Astro Pixel Processor from China, Hong Kong, Macau, Taiwan, Korea, Japan and other countries where Alipay is used.
After Normalization APP generates many statistics on subs, and I am trying to work my way through them to be a little more sophisticated in rejecting weak subs. Previously, I was only looking at star shape.
1) When I select a range and right-click the mouse I have numerous sort options. How is Best to Worst different than Quality?
2) How does APP weight the various measures: #stars/density, background and dispersion, SNR and noise, FWHM min/max shape? Oddly, looking at my Blue data the last five subs had markedly worse SNR rank, but the highest overall quality scores! See attached.
3) I take it background is brightness. For example, a cloud passes by. What exactly is dispersion?
APP looks at various parameters basically to qualify the data. The quality score is taking into account the star shape quite a bit. So it may score higher there due to very round stars for example.
Thanks for that, it is helpful.
My transparency in the high desert tends to be very consistent. Brightness of course can change a bit during the night. So I suspected FWHM and roundness were the main drivers.
It seems like a good approach. Reprocessing my M31 image dropping the worst 8% of the data made a very nice improvement.
