Starbash Images

Semiautomatic (beta) image workflows by Starbash

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Starbash targets by geeksville Hosted on GitHub Pages — Theme by mattgraham

Pinwheel Galaxy

Processing summary

• Sessions: 1
• Total exposure: 0.54 hours
• Filters used: None
• Observation dates: 2025-09-01

Coordinates: RA 14 03 11 / Dec +54 21 12

Workflow

The stages used to process this target, with each stage’s parameters:

Parameters: grey = recipe default · amber = this target’s override

• master_dark siril Generate master dark
• master_bias siril Generate master bias
• master_flat siril Generate master flat
• light_vs_bias siril Extract OSC light calibrated vs bias
  • options = "-cfa -equalize_cfa"
• light_vs_dark siril Extract OSC light calibrated vs dark
  • options = "-cfa -equalize_cfa"
• light_no_darks siril Calibrate OSC lights that have no dark frames available
  • options = "-cfa -equalize_cfa"
• stack_osc siril Basic OSC stacking (no fancy narrowband extraction)
  • registration = "rej w 3 3"
  • filtering = "-filter-wfwhm=80%"
  • drizzle = ""
  • options = "-norm=addscale -output_norm -rgb_equal -32b"
  • framing = "max"
• seqextract_haoiii siril Extract OSC HaOiii channels
• stack_dual_duo python stack Stack OSC dual duo (HaOiii + SiiOiii) filter data: with separate Ha, Oiii and Sii channels
  • drizzle = "-drizzle"
  • framing = "cog"
  • filtering = "-filter-wfwhm=80% -filter-round=80% -filter-bkg=80%"
• stack_single_duo python Stack OSC single duo (HaOiii) filter data: with separate Ha and Oiii channels
  • drizzle = "-drizzle"
  • framing = "cog"
  • filtering = "-filter-wfwhm=80% -filter-round=80% -filter-bkg=80%"
• background graxpert background Do background subtraction with graxpert
  • smoothing_option = 0.5
  • ai_version = "1.0.1"
• deconv-obj graxpert deblur skipped Do object deconvolution with graxpert
• blur_exterminator rc-astro deblur Sharpen/deconvolve with BlurXTerminator (rc-astro bxt)
  • sharpen_stars = 0.5
  • sharpen_nonstellar = 0.5
• denoise skipped Do denoising with graxpert
• noise_exterminator rc-astro denoise Denoise with NoiseXTerminator (rc-astro nxt)
  • denoise = 0.9
  • denoise_intensity (no default)
  • denoise_color (no default)
  • denoise_hf (no default)
  • denoise_lf (no default)
  • denoise_intensity_hf (no default)
  • denoise_intensity_lf (no default)
  • denoise_color_hf (no default)
  • denoise_color_lf (no default)
  • frequency_scale (no default)
  • iterations = 2
• palette_sho siril SHO palette: R=Ha, G=Sii-or-synthetic, B=OIII
  • ha_weight = 0.4
  • oiii_weight = 0.6
  • green_strength = 2
  • blue_strength = 2.0
  • red_suppression = 0.3
• palette_hoo siril HOO palette: R=Ha, G=OIII (optionally blended with Ha), B=OIII
  • green_ha_weight = 0.0
• starnet starnet Star removal with StarNet via Siril
  • params = "-stretch"
• veralux python Do VeraLux HyperMetric Stretching
  • background = 0.1
  • log_d = 0.0
  • protect_b = 6.0
  • star_recovery = 3.5
  • color_grip = 1.0
• merge_stars siril Screen-blend the removed stars back into the stretched starless image
  • stretch = 1000.0
• thumbnail siril Generate a stretched thumbnail image
  • size = 1600
  • quality = 95
• crop python Crop and rotate stacked FITS outputs
  • crop_width = "50%" (default "80%")
  • crop_height = "50%" (default "80%")
  • rotate_deg = 0
• report_stack_osc python Record per-frame registration metrics for basic OSC stacks
  • seq_basename = "r_osc"
• report_duo python Record per-frame registration metrics for duo stacks
  • seq_basename = "r_all_ha"
• palette_broadband siril Broadband palette: load the denoised broadband stack and save it as broadband.fits
• grax-denoise graxpert denoise Do denoising with graxpert

View processing workflow

Sessions

2025-09-01

Focal length	Focal ratio	Image scale
384.0 mm	f/4.8	2.02 arcsec/pixel

Equipment	Model
camera	ASI Camera (1) (ASCOM)
telescope	Askar V APO Refractor
filter	None
filterwheel	ZWO FilterWheel (1)