Messier 109

Messier 109

Full Resolution

Messier 109 is a Barred Spiral Galaxy that can be spotted next to Phecda, the sixth brightest star in Ursa Major. It’s most notable feature is the long bar going through it’s core that resembles Darth Vader’s Tie Advance star fighter from Star Wars. Nearby in this image are many other more distant galaxies and a few that are satellite galaxies in the M109 Group.

Phecda (outside of frame) is glowing quite brightly from the upper left corner but there can be seen diffraction spikes that just happened to be lined up in such a way that make this image also resemble the Bat Signal or some form of galactic spotlight. :)

Annotated

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Equipment:

  • Orion 8in F4.9 1000mm Newtonian Reflector

    • Flocked / Primary mirror replaced due to turned-down-edge
  • Sky-Watcher F4 Aplanatic Coma Corrector

  • Astrodon E Series L, R, G, B broadband filters

  • Celestron CGEM Mount

    • Self tuned / hacks to get guiding stable include:

    • Intentional offset polar alignment so dec always pulses in one direction

    • Balance “west” heavy (rather than the recommended east) so that the ota “falls” onto the gear teeth rather than get “lifted”

    • Factory Reset hand-controller daily (to prevent cgem from being possessed and forgetting where the meridian is on subsequent night)

    • Dither in RA only

  • 8in f4.9 Orion Optical Tube Assembly - 1000mm

  • ASI183mm Pro cooled to -15C

  • ZWO OAG + ZWO EFW

  • Data Acquired using N.I.N.A and Guided with PHD2

Data was acquired across multiple nights between 2020-03-25 and 2020-04-25

L R G B
142x120s 28x120s 26x120s 24x120s
4hr 44m 56min 52min 48min

Total integration time: 7hr 20min

All pre-processing and post-processing was done in PixInsight. Full details below.

The resulting image is a combination of the following steps:

  • Inspected all subs for bad images with Blink, discarding subs containing clouds

  • Calibrated all subs with their corresponding master flat and master dark

  • Used sub-frame selector to weight all images based on the following weighting

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-ApprovalExpression "FWHM<4.5 && Eccentricity<0.65"

-WeightingExpression "(5*(1-(FWHM-FWHMMin)/(FWHMMax-FWHMMin))

+ 15*(1-(Eccentricity-EccentricityMin)/(EccentricityMax-EccentricityMin))

+ 15*(SNRWeight-SNRWeightMin)/(SNRWeightMax-SNRWeightMin)

+ 20*(Stars-StarsMin)/(StarsMax-StarsMin))

+ 30"
  • Selected the best sub from sub-frame selector and blink to use as a reference frame for aligning and integration

  • All subs of each filter were aligned to the same reference frame using the Star Alignment process

  • Integrated all Red frames together, Blue frames together and Green frames together and Luminance frames together to create masters for each color.

  • Cropped the stacking edges of the integrated masters

[RGB Processing]

  • Channel combination to combine the integrated Red, Green and Blue frames

  • Dynamic Background Extraction

  • Background Neutralization using 4 small preview windows aggregated as a background reference

  • Color Calibration using m109 as the white reference

  • Noise Reduction was done using TGVDenoise with a low contrast mask and an auto-stretched local support, SCNR to remove the green overcast and MMT with a very protective luminance mask as documented by Jon Rista An additional round of DBE was used to remove newly discovered color gradients through the noise reduction process.

  • An initial stretched using Masked Stretch with no clipping and then Histogram Transformation to bring the tail in

  • Increased the saturation of the image using the C curve in Curves Transformation and a luminance mask

  • Final round of Masked Stretch to lift the brightness of the image

  • Increased contrast in the galaxy using a clipped luminance mask and HDR Multiscale Transform targeting the lightness and 6 layers.

  • The RGB image was placed aside for Luminance Processing Next

[Luminance Processing]

  • The masters for each filter were re-integrated together using the “L” master as integration reference to produce a synthetic-luminance

    • No rejection | Median Absolute Deviation from Mean Scale Estimator

      Synthetic Luminance

  • Dynamic Background Extraction were applied to remove gradients throughout the field

  • Deconvolution was done on a separate copy of the luminance with

    • No deringing

    • wavelet regularization with 5 layers and strong but reducing amounts/thresholds

  • A combination of starmask and clone stamp was used to produce a series of star masks that together covered all ringing artifacts produced by deconvolution

  • Additional sharpening was performed using MultiscaleMedianTransform with six layers increasing bias on layers 2-4 using a clipped luminance mask to protect the low signal areas

  • Noise Reduction was done using TGVDenoise with a low contrast mask and an auto-stretched local support

  • The resulting luminance was stretched using Masked Stretch, no clipping, and the same background preview windows aggregated. The tail was brought in using histogram transformation, and the stretch was repeated.

  • Increased contrast in the galaxy using a clipped luminance mask and HDR Multiscale Transform targeting the lightness and 6 layers.

[Combination and Final Adjustments]

  • The Luminance and the RGB Image was brought together using the LRGB Combination Tool applying the processed/stretched luminance to the processed/stretched RGB images. Chrominance noise reduction was not enabled on this combination.

  • The trailing of the star cores was reduced by applying deconvolution using a star mask with deringing

  • Additional noise reduction was performed on the background regions to permit stretching more of the high signal areas

  • Large Scale Contrast was increased using Local Histogram Equalization with kernel radius 128 and a small amount

  • Additional round of HDR Multiscale Transform was used to increase contrast between the galaxy’s barred core and it’s spiral arms

  • A final round of curves was applied in an attempt to lift the galaxies and stars off of the background sky

  • An ICC Profile was applied to enable Black Point Compensation



Constructive criticism is welcome. Let me know what you think! How can I improve?