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.
Topic starter
October 29, 2018 21:19
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I'm finding it very hard to get perfect field flatness even with flatfield correctors - resulting in somewhat deformed stars in the outer zones of my images.
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I know there are deconvolution algorithms which can "correct" for general star deformation based on a star PSF, but all such processes I've seen either work based on a theoretical PSF (a gaussian for example) or based on the PSF of one star or the average of multiple star. They all have in common that the same PSF is used for the deconvolution across the image.
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An algorithm that could analyse star shape across the image and deconvolve based on a variable PSF could be a very valuable functionality, especially in combination with mosaicking, where the variable correction might allow more of the edge of some images to be used.
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Certainly not the easiest of things to implement, but as far as I can tell, no other astro-software provides such a thing at this time - as long as the faults are relatively limited, it could be useful both for correcting field flatness and rotational unsharpness.
November 4, 2018 08:45
Hi Bart, apologies for the delay here!
Yes, that would definitely be nice for certain types of data and it is something on the list already. 😉
