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.
Hello!
I have a narrowband dataset taken with a DSLR and a L-Extreme filter. I usually integrate Ha & Oiii separately so I can then compose them back with StarTools.
I've done best 90%, 80% and 60% integrations for both emission lines. Then, cleared all loaded data from APP and re-loaded those integrations as light frames and ran "Normalize" so that they get analyzed.
What I found is that the best quality score depend on the emission line:
* For Ha: 90% best subs
* For Oiii: 60% best subs
I did this analysis because I want to get a good balance between SNR & FWHM and I think the quality score is a good relative measure of that.
So, here's my question: Would it make sense that I pick different % integrations based on the best quality scores of each emission line to get the best composite possible?
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Thanks in advance,
Lucas
If that would make sense totally depends on your data, it sounds like you tested this already and that's the best way to judge that I think. I personally would always go for 90-100% depending on what I know the quality of the night has been, when your setup is behaving well and the nights were good enough, that always seems to work nicely. If you have data from nights with a full moon or lots of troubles, then I would probably make separate integrations.
