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.
Hi,
I still use StarTools and that program requires 1:1 photon counts by default. Basically vit needs the least about of stuff done to the image. What can I do when stacking to ensure it is simply calibrated, registered and stacked, with no bells and whistles?
I plan to use both programs of course, and want to know what settings to uncheck or not use during stacking to obtain this
Thanks!
Adam
Hi Mabula, still waiting for a reply. Any way you can advise what settings to use to not add any bells and whistles to the image?
Looking for a .fits stacked image that is as linear as possible to attempt to use in StarTools which needs data as raw as possible.
Thanks
Adam
Hi Adam @singding,
Apologies for the late reply.
I still use StarTools and that program requires 1:1 photon counts by default. Basically vit needs the least about of stuff done to the image. What can I do when stacking to ensure it is simply calibrated, registered and stacked, with no bells and whistles?
All integrations coming out APP are linear if you feed linear (raw) data into it. Any bells and whistles on integration would be Local Normalization Correction and Multi-Band Blending I think, but they merely remove seams and bad data normalization. The data does stay linear however.
Looking for a .fits stacked image that is as linear as possible to attempt to use in StarTools which needs data as raw as possible.
I am not sure what you mean by this. Linear is linear. It becomes unlinear if you apply a non-linear stretch to the data, which APP doesn't do on the integration data, so the integration result is as linear as it can be, really 😉
What does startools complain about if any? Maybe that will shed some light on your concern? (I don't use startools myself currently, but have done so in the past, so I know a few things about it).
Kind regards,
Mabula
