May 27 2026 APP 2.0.0-beta45 has been released !
Fully Multi-Threaded LNC, many improvements for the registration engine, platform upgrade, and further tuning of internal memory consumption and memory release back to OS.
Apr 14 2026: Google Pay, Apple Pay & WeChat Pay added as payment options
Update on the 2.0.0 release & the full manual
We are getting close to the 2.0.0 stable release and the full manual. The manual will soon become available on the website and also in PDF format. Both versions will be identical and once released, will start to follow the APP release cycle and thus will stay up-to-date to the latest APP version.
Once 2.0.0 is released, the price for APP will increase. Owner's license holders will not need to pay an upgrade fee to use 2.0.0, neither do Renter's license holders.
Happy easter!
Last week I tested my 'galaxy setup'. I ran into some issues so I only have Red and Green channel monochrome data. However during stacking something strange happened, it also happened a while back with other data. But for some reason in the Red channel it looks like te outlier rejection doesn't fully work. Or are there just too many satellite trails to remove? I have 25 red files of which 7 have satellite trails through the center. In the green channel outlier rejection is fine. I noticed it a while back also in the red channel. What am I doing wrong or what could the problem be? I have used APP since the beginning and never had these problems before.
I calibrated the frames with MD and BPM. No flats because I was only testing my image train for now.
Attached the R and G stacks and the APP log file.
Cheers,
Michel
Michel
I've seen this too, but only at long focal lengths. A bright satellite trail at long focal lengths can be several pixels wide. If using average (vs median) stacking this can be challenging for APP's outlier rejection when using the default settings, at least under some circumstances. It can be a bit startling if you have just made the switch from short to long focal length.
I think you have three options.
- Switch to median stacking. Not recomended if you have more than 20 frames as it will cost you some bit depth. But might be worth a try - you might be happy with the resulting image.
- Go through the frames one by one and delete only the ones with strong satellite trails. That's what I have usually done. Can be tedious but it will work.
- Try different settings for kappa low and kappa high in the Outlier Rejection section on the Integrate tab. There is some advice in the tooltips for these settings. You will need to be cautious or you risk losing the beautiful streaming tail you have captured.
Good luck
JC
@connor231 thank you John for the options. I will look into this. I indeed noticed it, thinking about it, when switching from 520mm FL to 749mm (taking out the reducer from my main scope) but in a lesser degree. Last week I switched to 1480mm (C9.25 with 0.63x reducer) and I noticed it being worse.
Last time I did delete all te images with satellite trails, using Blink in PI (a process that would be very helpfull in APP as well).
thanks again
Hi Michel,
@michel82, i think the best option would be to manually set the outlier rejection settings as John @connor231 indicates. Did you try that as well? We have on our list to further improve this behaviour in APP, because we are aware that sometimes residual satellite stripes stay visible expecially at the longer focal lengths. We want to further improve these algorithms for sure.
Mabula
@mabula-admin yes I tried and it worked. Used the average setting and set the kappa’ to 2 and 4. This worked good enough for the mono images, because after combining them the residual trails were gone👍🏻
thanks!
