2023-09-16: APP 2.0.0-beta23 has been released !
Improved performance again, CMD-A now works in macOS File Chooser, big improvement for bad column cosmetic correction, solved several bugs
We are very close now to releasing APP 2.0.0 stable with a complete printable manual...
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Hello,
after several attempts I must now ask for help here. I am trying to stack shots from the past nights which were taken around Polaris. Unfortunately the process always stops at the end of the registration, and brings the following message:
According to the indications of the message, I have increased the number of stars. Once to 4000, and once to 7000, and 8000. Unfortunately without success.
I have "same camera and optics" disabled. Also without success
I enabled flip descriptors in X/Y. Also without success.
I increase the scale stop level to 10. Also without success.
I changed to the pattern recogintion descriptors to pentagons. Also without success.
I do not know what else to do. And I'm running out of patience for more experiments.
Here is an example from a sub
Could there be a problem here because the shots were taken directly at Polaris?
I had this problem once. Long story short- half of my light frames were not of the target that was labeled by NINA. When I got this error I was able to see in the list of files which Light subframes were causing the problem because APP highlighted them. Do you have any highlighted subframes when you get this error?
That shouldn't be an issue indeed. You are running the latest APP version just to confirm? Does it work without calibration frames by any chance?
If not, please upload some of the failing frames (like 10) to our server. Instructions are on the top right of the forum. Please add a directory named "dv_stranger-regFailure" and let me know once uploaded.
Thanks!
Hi!
About the highlighted subframes, its a good question. I never paid attention to that. What does it look like?
I uploaded one session into the mentioned folder. Let me know if it works with your settings.
Thank you!
I'll have a look today, wasn't needed to upload the entire dataset I think though. 😉
Ok looking at the data right now;
1. The darkflats look like flats, did you mis-lable them by accident? This means I can't use them, but I'll try to use the bias you provided. Might be a good idea to either use bias or darkflats anyway, having proper darks also already contains the bias signal and removes hot-pixels and such. So, darkflats are a good idea for the flats and then extra darks for the data.
2. On to analysis of the stars, this all looks fine.
3. Registration, this also went fine. I'm using the latest APP version, so maybe something to check as well.
Result;
After LP correction;
Hi!
Thank you for take time to check my data.
You were right, something seems to have gone wrong with my darkflats. I have simply recreated them.
Now to the actual problem. I have been working with version 1.083.3. I have now updated to 1.083.4 on your hint. That was actually the solution to the problem! I first stacked the data, which I uploaded to your server, that worked flawlessly. Then I stacked the data of a second night, which also worked. Then I stacked all three nights together, which also worked without problems. So it was really due to a bug in the program, which was fixed in the latest version.
Thanks for the help!
I am now facing a new challenge. Maybe you have a tip for me here. Namely, how can I do a clean light pollution removal in such a dusty area?
Excellent! Yes, there was a small bug introduced in that version, so good to hear all is working again!
LP pollution correction in a dusty area can be a difficult problem indeed. A good problem to have usually, as you have good signal then at least! 🙂 Apart from having well working flats and not too much light pollution, there isn't much you can do about that. I would place the boxes, small ones are fine, as much as possible on "background". It's not possible usually to avoid placing it on areas with a bith of dust, but then choose the most faint features, these will then be removed a bit though.