I've been learning how to process images using AstroStack - its simple to use and cross-platform - it works with Linux.
Last night I took 10 lights, 10 darks, 10 flats, all 64 seconds and 10 bias frames 1/4000th - noise reduction turned off.
I average the darks, flats and bias frames to produce a single image for each set. I'm not completely sure whether averaging the bias frames is necessary.
This is what I found, applying various combinations of flats, darks and bias frames, in AstroStack.
The darks removed virtually all the signal, whether I used a single dark or an average of all the darks - maybe more images and more signal would improve the SNR?
The averaged bias frame obliterated the image - using 1 was OK.
The best results were obtained using a single or averaged flat, but there was significant improvement with the averaged flat. The final image was noise free and there was adequate signal - some missing but not significant in this case.
Interested to know if I'm on the right track?. I'm inclined to think that it's a bit of mix and match to get the best result - there is no fixed formula?
An issue I have with AstroStack is that the saved jpg images are unreadable - cant open them in any image program. Fortunately it has a preview so I'm able to see the results in real time, but down to taking desktop snapshots of the previews. Maybe I'm missing a plugin?