2023-01-19: APP 2.0.0-beta13 has been released !
!!! Big performance increase due to optimizations in integration !!!
and upgraded development platform to GraalVM 22.3 based on openJDK19
We are very close now to releasing APP 2.0.0 stable with a complete printable manual...
Extracting narrowband data from OSC data
Maybe this is a dumb question, but I was wondering if I could use data from an OSC sensor (like the ASI533MC-Pro) to make an SHO version by using the appropriate algorithms in the "0) RAW/FITS" tab to extract the corresponding emission lines and recombining them later on.
The use case I've been thinking about is OSC color data that has been captured from a dark site. I already own an L-extreme and Sii filters and use them on my light polluted backyard, but I'm wondering if I go to a dark site and collect full color data, could that be also useful to create SHO images?
Thanks in advance,
@ldipenti Hi Lucas,
No, that will not be possible. Both Ha and SII are red and cannot be separated from each other. You'll need to use the L-eXtreme filter for capturing Ha and OIII and the SII filter for capturing SII, even from a dark site.
@wvreeven Thanks Wouter, it was my hope that I could do some "narrowband imaging" from a dark site by using a technique like that, because otherwise to swamp the sensor's read noise I need very good tracking (that I don't have 🙂 )
What you could try is to try to separate them like this...
1) Tab 0: Ha OIII extract Ha -> all the way till integrate: this will be your Ha for RGB Combine (Tab Tools)
2) Again in Tab 0: Ha OIII extract OIII -> you will need to normalize them again and then Integrate: this will be your OIII for RGB Combine
3) Again tab 0: Ha OIII Mono -> you will need to normalize them again and then Integrate: you can save as Luminance and pick it up a SII for RGB Combine
Here you can find the video I got it from:
Hope it it is useful,
@camarieu hi Carlos thanks for the suggestion. I was thinking that maybe the extraction algorithms were able to separate the two shades of red from Ha and Sii.
I will try this technique to see if it helps getting a nice image but I was looking to also get something scientifically accurate