MAY 4 2026: APP 2.0.0-beta44 has been released !
New improved internal memory controls should now work on all computers
May 1 2026: APP 2.0.0-beta43 has been released !
Improved internal memory controls (much more stable and faster on big datasets), fixed CPU image viewer, fixed Narrowband extraction demosaic algortihms.
Apr 29 2026 APP 2.0.0-beta42 has been released !
New improved Normalization engine, Fixed random crashes in integration, fixed RGB Combine & Calibrate Star Colors, fixed Narrowband extraction algorithms, new development platform with performance gains, bug fixes in the tools, etc...
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 - I tried a simple two panel mosaic on Christmas Eve of M45 in LRGB. I'm following Mabula's sticky'd multi-part mosaic tutorial. One obvious difference is that I am working in monochrome whereas the tutorial data is OSC.
I've spent a bunch of time using light pollution tool on my first integration panel (luminance). Now I'm wondering whether I should be combining data before running the light pollution tool??
Background calibration doesn't work on monochrome data, right?
@tbar23 As for light pollution reduction, it really depends on your data. If one mono channel shows a lot more light pollution than the others, you may want to apply it only to that channel. If your data are really nice, you may not need to apply it at all.Â
Thanks both. @Wouter-Moderator - that makes sense. If, for instance, my luminance data was all taken in the hour or so following sunset then, perhaps, it would require more light correction to another channel if taken later at night pointed in a direction with less (or different) light pollution.
In my case, my composite image showed a bit of odd coloration, and I suspect that could be due to individually correcting each filter differently. I may try combining the data into RGB before LPC (and also look without any).
Thanks.
