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Apr 9 2026 APP 2.0.0-beta40 has been released !

It has a major performance boost of 30-50% over 2.0.0-beta39 from calibration to integration, for mosaics even faster! 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. Improved Outlier Rejection with LN 2.0 rejection. macOS CMD+A works now in file chooser ! And more, all will be added to the release notes in the coming hours...

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.

 

Combining data from different imaging trains

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(@mike-lockwood)
White Dwarf
Joined: 4 years ago
Posts: 11
Topic starter  

Apologies in advance if this topic has already been covered. 

I want to combine data from 2 different imaging trains. Sharpstar 61EDPHII @ 274 focal length and Stellarvue SVX102T-R @ 551 focal length.
I have data with both setups on the same target.

Are there any special steps required and is there a tutorial video covering this subject ?

thank you 



   
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(@Anonymous 174)
Joined: 9 years ago
Posts: 5702
 

In principle not no, load both in in 2 sessions, each with their own calibration data (different sensors then require their own set of bias/darks/flats) and then run an integration.



   
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(@mike-lockwood)
White Dwarf
Joined: 4 years ago
Posts: 11
Topic starter  

Posted by: @Anonymous

In principle not no, load both in in 2 sessions, each with their own calibration data (different sensors then require their own set of bias/darks/flats) and then run an integration.

thank you sir......I guess with your answer "not no" - that means yes ?

 



   
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(@Anonymous 174)
Joined: 9 years ago
Posts: 5702
 

Haha, I meant "in principle not" to require any more steps. 😉



   
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