Nice job Antoine! Really cool to see everyone's interpretations on this beautiful data. I liked how that pillar of dark nebula really popped in yours.

@GalacticHunter

2 жыл бұрын

Thank you Nico! I have to say I am in awe with your version, so beautiful! 😍

@MalshanNawodya

2 жыл бұрын

Hi Nico and Galactic Hunter, This is my version. drive.google.com/file/d/1qk6jOvaUyL_nyiaQblhPdjdJdH8nIti_/view?usp=sharing

Thanks for making this, just starting out playing with some JWST data and seeing your workflow helped me a lot.

Respect ✊🏼 keep going 🙌🏼

Bumped into your video when trying to understand how space images are manipulated (meaning not mimicking the human eye). Tyvm🙏

im having a few problems following you... what software are you using/ you dont seem to mention it and im quite confused- help would be greatly appreciated

@psionski

Жыл бұрын

I was wondering the same thing... “nice tutorial but what is this even”.... apparently it’s a program called “PixInsight” (this should have been in the title of the video LOL)

You can choose ‘Create new image’ in PixelMath, rather than applying it to a master. Rather than ColorMask, CurvesTransformation’s Hue channel works great. Great tut and beautiful result!

Thanks 👍🌀

Yes, I found out that I only need to download L3 data, this can save lots of time and storage space.

@banday78

2 жыл бұрын

how to download just the L3 data?

@jameshe2023

2 жыл бұрын

@@banday78 go through the .sh file, only keep the line like "curl --globoff --progress-bar --create-dirs -C - --output ./jw02733/L3", delete the rest lines.

@jameshe2023

2 жыл бұрын

@@banday78 each line starts with "curl" download one file, and save it to seperate directory, all L3 data would be under /jw*****/L3 folder.

Never used Star Alignment before, thank you!

@gloriousexceptionalism2346

2 жыл бұрын

Pixel Math is fun! Can you make a video talking about LRGB vs PixelMath and PI presets for LRGB vs PixelMath?

If you first crop your reference image and do the StarAlignment after that step, all your images will be correctly cropped and you save some time. For downloading the data you only need to find the lines in the scripts that download the image data. Run this line in your terminal in the directory where the download scripts are located on your computer: grep -h curl *.sh | grep nircam | grep i2d.fits | sh It will filter the correct lines out of all scripts and runs the commands to download. You can also rerun the command if your download breaks and it will catch up were it broke.

@jameshe2023

2 жыл бұрын

I run python with single line as: open('jw02733_dl-cal-curl.sh','w').writelines(line for line in open('jw02733_dl-cal.sh') if 'curl' in line)

@gloriousexceptionalism2346

2 жыл бұрын

Thank you!

can you elaborate on the pixel math combination? When I apply the same functions to an image it just makes it brighter in monochrome, is there a way to switch it to rgb color space?

@GalacticHunter

2 жыл бұрын

Oh maybe double check in the PixelMath settings that the outcome image is RGB and not "same as target"

@AeroAstrophotography

2 жыл бұрын

@@GalacticHunter ah gotcha, that’d do it

Incredible that they didn't even use the sharpest and lowest wavelength filter, the f070w. The image could have been 25% sharper. Anyway I've read that the spatial resolution is limited by pixel dimension, at least at the shortest wavelength. What a pity.

Why do I obtain a yellow/green like image instead of a purple/green like yours? I did the same formulas in PixelMath, I can't understand (I did also everything like you did) Thanks

@GalacticHunter

2 жыл бұрын

Because then you can play with the colors until you get something you like. I myself used SCNR to remove some green and then used Color Masks to change the hue of some colors

👍 𝔭𝔯𝔬𝔪𝔬𝔰𝔪