Teljes képernyő
Első célpontom a módosított DSLR-rel. :D 2 éjszaka eredménye, 4.5 óra összesen.
Equipment: Modified Canon 250D DSLR + WO RedCat51 (250mm, f/4.9) + Astronomik UHC 2” filter
Guiding: 32/120mm guidescope + ZWO ASI 120MC-S camera + ASIAir mini
Star tracker: SW StarAdventurer GTi
Location, date: Tiszasziget-Mélypont (Hungary), 2025. March 18-19.
Bortle scale: ~4
Dithering: 5 pixels, 2” stability threshold
Light frames (sensor temp.: 3-4 ℃): 54, 300 seconds, ISO 800
Darkflat frames (sensor temp.: 3-4 ℃): 60
Flat frames (sensor temp.: 3-4 ℃): 60
Stacking and processing were done in PixInsight.
I used WBPP with Maximum quality preset.
Light frames were 2x drizzle integrated.
My PixInsight workflow was the following:
-DynamicBackgroundExtration (using 13 sample points)
---Tolerance: 1
---Shadows relaxation: 6
---Smoothing factor: 0.250
-BlurXterminator (everything is on default)
-IntegerResample
---Resample factor: 2
---Downsample checked
-NoiseXterminator - AI version 3 (Denoise: 0.9, Iteration: 2)
-StarXterminator (everything is on default): separation of the stars from the nebula, stretching them separately
-Seti Astro’s Statistical Stretch on the starless image
---Target median: 0.3
---Automatic convergence checked
-Cosmic Photon’s NarrowbandNormalization
---Palette: HOO
---OIII boost: 1.2
-Cosmic Photon’s ColorMask_mod
---Yellows: 15-90 degrees (start - end hue)
-Convolution on the mask created with ColorMask_mod
---StDev: 33
-Applying color mask on the narrowband normalized starless image
-CurvesTransformation
---Adjusting the green and the red channels to taste
-Removing color mask
-CurvesTransformation
---Adjusting the RGB/K curve to darken background and give more contrast to the image
-Luminance mask creation (Extract CIE L* component) and applying it to the starless image
-ColorSaturation
---Making the blues more prominent in 3 steps
-Removing the luminance mask
-HistogramTransformation
---Stretching the stars_only image
-PixelMath: combining the starless and the stars_only image: ~(~starless*~stars_only)