How do you manage to make the O3 pop up in your images?

Hi Christian,

Nice images!

I recently imaged the Crescent with mu 533 MC-P and L-eNhance filter. I don't have a ton of OIII showing https://astrob.in/nidp3s/B/, but in the Original version, I used an HOO palette to help bring the OIII out some. In rev B, I used a blue mask to tweak up the blue and green to help. I processed in Pixinsight.
I am not familiar how to do this in Siril and PS, but I am sure it can be done. 

Good luck!

Jim

Jim Raskett:
Hi Christian,

Nice images!

I recently imaged the Crescent with mu 533 MC-P and L-eNhance filter. I don't have a ton of OIII showing https://astrob.in/nidp3s/B/, but in the Original version, I used an HOO palette to help bring the OIII out some. In rev B, I used a blue mask to tweak up the blue and green to help. I processed in Pixinsight.
I am not familiar how to do this in Siril and PS, but I am sure it can be done. 

Good luck!

Jim

Thank you so much mate! 

Clear skies!

Arun H:
The OIII signal is usually much weaker than H-alpha.. The first step is to devote a more significant time to it to get good SNR. For example, the OIII shell of the Crescent will need a lot more than 2 hours with  a color camera and an 80mm scope to get it to show. The second is to scale all your masters to one common one - for example scale the H-alpha to the OIII before creating the color master. In PixInsight, you can do this through Linear Fit, not sure how this is done in PS or Siril, but I'm sure there is a way. These two steps alone will give you significant improvement over your current images. There are more advanced tricks that can be used, but they too depend on having good data in the first place.

Excellent advice Arun!
Definitely try to get more integration time.
Also, like Arun mentioned, scaling or equalizing the separate channels before re-combining will be needed.
Let us know how it goes!

Jim

Regarding the comments above, Siril has a Linear Fit function you can employ. Also, an excellent way to go is the so-called "dynamic narrowband" or "ForaxX" palette. The method can be found here https://thecoldestnights.com/2020/06/pixinsight-dynamic-narrowband-combinations-with-pixelmath/ all the same can be done with Siril's Pixelmath function.

If the OP is still using Siril and wants to try normalizing mono images against a reference image, I ran into a simple Pixelmath formula that will do it.  Be sure to set the home directory to the folder where the images are located.  In Siril, open the .fit file that will serve as the reference (e.g. O3,fit) and save a copy as ref.fit.  Save the file that you want normalized to the reference (e.g. Ha) as image.fit.  In the command line on the right bottom of the Siril screen paste the following command: 
pm "$image$*mad($ref$)/mad($image$)-mad($ref$)/mad($image$)*median($image$)+median($ref$)" 

The normalized version of the image file will open in Siril as Pixel Math Result and can be saved as Ha_Normalized.fit (or whatever). 

Repeat with a copy of S2 saved as image.fit.   Save the result as S2_Normalized.fit