If I only had 10 billion USD and my own spaceship...I would definitely have collected all the photons myself.
As I have neither, I had to resort to playing with the data that JWST provides.
This is a lot of fun to try out.
Very different from regular NB Image processing, and then maybe not.
It took me a few nights to get it sort of right.
Data can be fetched here:
STScI | Mikulski Archive for Space Telescopes (MAST) PortalOnce you find the data - in the zip files you retrieve, you need to find the master for each filter - for this image there are 6.
The master files are the largest fits file for each filter.
Open it in PI and only save the master - easy to find.
Documentation for the filter colors can be found here:
https://jwst-docs.stsci.edu/jwst-near-infrared-camera/nircam-instrumentation/nircam-filtersOne of the issues I faced was getting to proper starless images.
I mixed similar filters into a RGB image - removed the colored stars , which StarXterminator could figure out - but ONLY when it was an RGB image. The shape of the stars etc. seem to throw it off in Gray scale.
Then I splt the images back to individual channels again, and continued until I had 6 proper starless images, that I could then stretch.
I manually colored each image to my liking, and mixed it all together with Pixelmath in the end.
These Pixelmath statements worked for me:
R: ((f444w_starless*0.4)+(f444w_f470n_starless*0.5)) + (f090w_starless * 0.2)
G: (f187n_starless*0.4)+(f200w_starless*0.4)+(f335m_starless*0.6)
B: ((f090w_starless*0.4)+(f187n_starless*0.6)+(f200w_starless*0.4))
Depending on how you end up creating your individual images, you need to tweak the settings for each filter.
From there on, you just need to play, test and tweak to get it to how you like it!.
This project actually made my M2 MAX run out of memory at one point......
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