June 24 2026 APP 2.0.0-beta46 has been released !
Improved internal memory configuration (lower ! memory usage), fixed beta45 startup issue, fixed Set Save Directory & 2-panel mosaics.
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.
Hi friends!
I'm working on a big integration (~750 subs / ~100 hrs). When I do my integration (HA-Oiii extract HA), the final image that gets produced is just a blank image. It shows up blank/black in APP, and pure white (but I can see dithering artifacts) in Pixinsight.
I'm on V2 beta 6 on an M1 Mac. (I also tried on my PC, 2.0 Beta 2, and it gave me the same result.)
I fiddled around trying to disable various settings that I normally use, and I think I nailed it down to LNC.
I normally do 4th Degree LNC, 3 iterations, and it usually works great. Now these settings are producing the pure white integrated image. When I change that to 2nd Degree LNC / 3 iterations, it produces a normal mono HA image like I expect.
I'm now testing different levels/iterations of LNC, but I'd love to know what caused the blank integration file at 4th degree 3 iterations of LNC.
Any thoughts?
Thanks!
Jeff
A lot of the times LNC is not needed, why do you go to more degrees than standard? Does the standard 1st degree and 3 iterations produce a good result? It may be that you're adding too much complexity for the algorithm with specifically this data. Just a speculation at the moment though. 🙂
@vincent-mod I could never tell that LNC was making a difference unless I used 4th degree 3 iterations, so that's what I usually use. I ended up going with 2nd degree 3 iterations for this one, and it looked great.
