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NGC 7822


P Holdsworth
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Hi all, this is my effort on NGC7822 over a couple of nights ( 13th & 17Th Oct). I've not seen any other name for this nebula other than it's NGC catalogue number unless I've missed something ? . I was surprised just how much dust there was surrounding the nebula so I've left as much in as possible but the background maybe slightly on the bright side . 

Integration was 7 hours of 5 min subs 

Cheers Paul 

NGC7822 V5 (1 of 1)-2.jpg

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I agree that there is a lot of dust and hydrogen clouds in this area and you've captured it well. I did a wider field deep image of this area and the surrounding Nebula, called Cederblad 214, and the dust you have captured is certainly there.

Might be worth going back into your data and apply less noise reduction as you have lost some definition around the dark dust clouds and with 7hrs of data you should be able to sharpen some of the smaller features under a mask so you dont sharpen the noise in the larger areas of your image.

 

As another suggestion as the weather loooks rubbish for imaging over the weekend then perhaps try a diferent flow. Dont know if you follow any YouTube astroimagers, but Lukomatico has just published a video using some new Pixelmath scripts developed by Bill Blansham in US, his channel is called AnotherAstroChannel, but his equations pretty much stretch and normalise and generate Pseudo SHO from dualband OSC images  he also has Star Reduction scripts as well - worth seeing what these new scripts could do with your data -they are all free to download via link on his YouTube channel.

 

Watch "Narrowband Normalization using Pixnsight Pixelmath" on YouTube

https://youtu.be/PpIOSSj4L5g 

 

Bryan

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10 hours ago, Astrobdlbug said:

I agree that there is a lot of dust and hydrogen clouds in this area and you've captured it well. I did a wider field deep image of this area and the surrounding Nebula, called Cederblad 214, and the dust you have captured is certainly there.

Might be worth going back into your data and apply less noise reduction as you have lost some definition around the dark dust clouds and with 7hrs of data you should be able to sharpen some of the smaller features under a mask so you dont sharpen the noise in the larger areas of your image.

 

As another suggestion as the weather loooks rubbish for imaging over the weekend then perhaps try a diferent flow. Dont know if you follow any YouTube astroimagers, but Lukomatico has just published a video using some new Pixelmath scripts developed by Bill Blansham in US, his channel is called AnotherAstroChannel, but his equations pretty much stretch and normalise and generate Pseudo SHO from dualband OSC images  he also has Star Reduction scripts as well - worth seeing what these new scripts could do with your data -they are all free to download via link on his YouTube channel.

 

Watch "Narrowband Normalization using Pixnsight Pixelmath" on YouTube

https://youtu.be/PpIOSSj4L5g 

 

 

Bryan

Thanks Bryan and your suggestions are more than welcome. I used noise exterminator for noise reduction on default settings applied to the whole image so I think you're right and I'll go back and create a mask to only reduce noise in the areas that need it and also on a reduced strength. I do indeed follow Lukomatico's youtube channel and use Bill Blansham's scripts for colour masks and mask blur. I also use Bill's star reduction scripts (usually method 1 or 3 ) which I think are outstanding scripts. I've not watched Bill's video yet on his new scripts for pseudo SHO from dualband OSC images but I'll certainly take a look at those. I think Luke & Bill's methods and scripts have been outstanding for those of us using a OSC camera with a dual narrowband filter. 

Thanks again Bryan for taking the time to offer advice

Cheers Paul 

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Great image Paul.

I've watched Luke's video on Bill Blansham's scripts and they do indeed produce great results especially on OSC images. Bill's own YouTube channel goes into the scripts in great depth which is fine if you want to find out what he has done to produce them. I do find the videos a tad too long though.

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