Getting stuck on Cocoon Nebula SHO processing in Pixinsight [Deep Sky] Processing techniques · Arny · ... · 12 · 559 · 3

afjk 3.58
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I have taken 103 S, H and O 300s subframes of the cocoon nebula - and now get stuck in the processing:

- WBPP integration of the 105 subs and 3x30 flats per channel
- ABE for gradient removal of the S,HO masters
- Autohistogram to adjust S,H,O on to same mean and all channels have their histograms centered in the same spot
- ChannelCombination into an RGB Image

So far, so good: great detail, no gradients.

BUT: I either get a massive green or red almost monochromatic image, depending on whether I combine the very much stronger H sub as SHO (green) or HSO (red).
I understand that this is due of the overwhelming intensity of the H channel, so I tried to reduce its intensity with Pixelmath, but that only shifts the bell curve to the left, but does not create a better color mix.

What am I doing wrong or mis-thinking?
Is SHO maybe inapt for the Cocoon nebula (but I had the same problem with Triangulum galaxy)

So how do I get the best result of the SHO data?
Any idea how I must treat the data to get to a decent result?


S,H,O Channels after WBPP integration:
image.png

ChannelCombination RGBs with SHO, HSO and a combined version (S, SH, OH)
image.png
Neither of these give me chance to to get to a balanced color when I apply curves as they all appera to be fairly monochromatic.

Their histograms of the linear images are all like this:
image.png

So I tried to adjust the intensity of the channels, but that only moves the channel histograms sideways, but does not change relative height.
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andreatax 7.90
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Load this up (repositories in PI) and follow the instructions:

https://foraxxpaletteutility.com/FPU/
Edited ...
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aabosarah 7.12
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Its a tough target. The best examples of it I have seen were in LRGB or HaLRGB. Not sure you are doing anything wrong.
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afjk 3.58
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andrea tasselli:
Load this up (repositories in PI) and follow the instructions:

https://foraxxpaletteutility.com/FPU/



Quick response as ever, Andrea. Thanks :-)

I will for sure try Foraxx out - but would love to understand what the problem is and how Foraxx solves it … so that I can tackle the issue more than focus on the remedy
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afjk 3.58
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Ashraf AbuSara:
Its a tough target. The best examples of it I have seen were in LRGB or HaLRGB. Not sure you are doing anything wrong.



Thanks Ashraf

Very comforting - but less encouraging :-)
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andreatax 7.90
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Arny:
Quick response as ever, Andrea. Thanks :-)

I will for sure try Foraxx out - but would love to understand what the problem is and how Foraxx solves it … so that I can tackle the issue more than focus on the remedy


I think the full explanation is in their website, check it out. 

You can always try standard SHO palette with hue inversion via S-curve in CurveTransformation but isn't as good.
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aabosarah 7.12
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I am actually sitting on some data for this target in HaLRGB. I have attempted to process it a few times but did not like my results so far, but the image certainly benefits from injecting Ha into the LRGB data. I don't think you get any additional benefit from the Sii or Oiii data but I could be wrong. I am actually surprised by how much Oiii signal you got in that frame.
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wsg 11.35
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There is no mystery here, IC 5146 is an LRGB target with Ha applied for background color and detail.
There are plenty of examples of this in a quick search, this is not a problem with WBPP.
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morefield 11.37
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Arny:
andrea tasselli:
Load this up (repositories in PI) and follow the instructions:

https://foraxxpaletteutility.com/FPU/



Quick response as ever, Andrea. Thanks :-)

I will for sure try Foraxx out - but would love to understand what the problem is and how Foraxx solves it … so that I can tackle the issue more than focus on the remedy

I think the Foraxx utility is doing the same thing as the manual process described here: https://thecoldestnights.com/2020/06/pixinsight-dynamic-narrowband-combinations-with-pixelmath/
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afjk 3.58
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·  2 likes
There is no mystery here, IC 5146 is an LRGB target with Ha applied for background color and detail.
There are plenty of examples of this in a quick search, this is not a problem with WBPP.



I totally agree, wsg, that taking rgb would have been better. Only I did not know back then and my light pollution and the moon were in the way of it.

So I have got narrowband data now and try to make the best of it :-)
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jmenart 1.43
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Arny:
There is no mystery here, IC 5146 is an LRGB target with Ha applied for background color and detail.
There are plenty of examples of this in a quick search, this is not a problem with WBPP.



I totally agree, wsg, that taking rgb would have been better. Only Indid not know back then and my light pollution and the moon were in the way of it.

So I have narrowband data and try to make the best of it :-)

I also wanted to do it this year in SHO and failed miserably will come back for some RGB for sure and I put 'the image and the story' here for the memory:

https://www.astrobin.com/kv0318/
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afjk 3.58
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andrea tasselli:
Load this up (repositories in PI) and follow the instructions:

https://foraxxpaletteutility.com/FPU/



I followed your advice and first learned and then tried out the forax method.
Very smart idea thats beeing deployed here.

I tried in parallel Bill Blanshans normalization scripts, which actually yielded slighty better results. Theroy behind is to normalize the histograms, so that one channel does not dominate the others. Quite intriguiung
On Youtube for anyone interested: https://youtu.be/6se3b1ZotMc?si=s9PGOqdVGFH6Sy4T

Another alternative: Colorization by EnteringIntoSpace on Youtube: https://youtu.be/cn7UGWlPxfI?si=wPxj0I-D_GYIzk-a
Works very well, but relies heavily on your skill to colorize your SHO channels so that they recombine perfectly into an SHO image. Better for artists than scientist types … :-)

Despite pursuing 4 routes I have not come to a fully satisfying result, so stay tuned :-)
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WeberPh 6.62
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Hi,
I would like to throw another approach into the ring.
As others have pointed out, this target is a broadband target, and a very bright one at that, so while the narrowband components are weak or not present at all. That means that the broadband emission also dominates the narrowband channels and causes not much of a difference in those, especially between sulfur and hydrogen as those channels are so close together.
However, we can try to force any difference which might be there into existence.
If it fails I would try the following procedure without stars a second time:
  1. Combine into RGB, any combination you like
  2. Run ColorCalibration with appropriate limits and structure detection disabled
  3. Stretch the image
  4. Make a mask to only work on the bright parts
  5. Run MultiscaleLinearTransform, targeting Chrominance. Increase the number of layers to something like 10 and carefully increase the bias of the layers, but not layers 1 and 2 or so.

I'd be really curious as to the results. But honestly, even if it works, I'd expect some sort of rainbow.
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