Mar 28 2026 APP 2.0.0-beta40 will be released in 7 days.
It did take a long time to have the work finished on this and it will have a major performance boost of 30-50% over 2.0.0-beta39 from calibration to integration. We extensively optimized many critical parts of APP. All has been tested to guarantee correct optimizations. Drizzle and image resampling is much faster for instance, those modules have been completely rewritten. Much less memory usage. LNC 2.0 will be released which works much better and faster than LNC in it's current state. And more, all will be added to the release notes in the coming weeks...
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 Mabula,
When normalising is there a thresshold in quality to know when it's better not to use some low quality frames for stacking?
I supose eg quality stacking has it's limits too?
Thanks
Cheers
Guido
Hi Guido,
No not really, it really depends on the particular dataset and it's size and guidelines are hard to formulate I feel in this case.
For this purpose, I developed the quality weight setting, if frames are really bad when compared to others, they will have very low weight in the integration and therefore won't visually affect star size and roundness in the integration, but they will still help in lowering noise in the sky background.
If you have bad frames due to clouds/foginess/ bad transparancy/seeing, this usually can be seen from star density dropping with increased SNR (SNR is easily fooled by clouds/ foginess) and increased FWHM. From the details of all of your frames, you can usually remove them pretty quickly, if you scan for lower star density in combination with higher SNR in my experience. And frames with clouds/foginess are best left out, so do scan for them using the details of the frames.
Mabula
