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.
For some reason I cannot fathom, I am getting odd results at the bottom of the frame during integration, but only on some channels. Specifically, the Ha channel.
If I take two calibrated FITS using the Ha filter, (both of which appear like this):
Then load them, analyze them, register them, normalize them, and finally integrate them, I receive this:
Where the bottom becomes brighter/lighter.
Both the FITS were taken in the same session on the same instrument, one immediately after the other.Â
I suspect it is a processing issue with me, but for the life of me I can't figure it out.
I would be most grateful for any suggestions.
Thank you!
david
Can you give us a little more info about the equipment you use and what images you have taken with them? What camera do you use? Darks, Bias, flats, dark flats? Or are you reusing masters that you have taken before?
I was able to correct the lightness by turning off the LNC. I don't know why I had overlooked that before.
Thank you,
david
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Mm, LNC shouldn't be a problem I think. It could be that if you look very closely to both images before combining them, giving them a big stretch to compare the backgrounds of both, you might see a difference where LNC is trying to correct it. Both images are corrected with proper bias and such right?
