Melotte 15 - The Heart of the Heart Nebula (IC 1805) - 5.5 hours of SHO

Date: Nov 18, 2022

Cosgrove’s Cosmos Catalog #0115

Melotte 15 - the Heart of the Heart Nebula (IC 1805) (click for high resolution version via Astrobin.com)


Awarded “Explore” Status on Flickr!

 
 

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    IC 1805 - The Heart Nebula - showing the location of Merlotte 15 outlined in yellow. (click to enlarge)

    About the Target

    IC 1805 is better known as the “Heart Nebula.” It is also known as the “Running Dog Nebula”, and Sharples 2 -190. It can be found 7,100 light-years away in the constellation of Cassiopeia. This a region rich in gas and dust and newly formed stars.

    Towards the middle of this object is an open cluster and nebulae known as Melotte 15 - it is also known as Collinder 26, and sometimes called the “Heart of the Heart.” The open cluster contains a few stars that are larger than our own Sun - some as much as 50 times larger! It also has many stars that are just a fraction of the size of our Sun.

    It was discovered by William Herschel on 3 November 1787.

    Wikipedia tells us that:

    the Melotte catalogue is a catalogue of 245 star clusters by British astronomer Philibert Jacques Melotte. It was published in 1915 as A Catalogue of Star Clusters shown on Franklin-Adams Chart Plates.[1] Catalogue objects are denoted by Melotte, e.g. "Melotte 20". Dated prefixes include as Mel + catalogue number, e.g. "Mel 20".[2]

    The Annotated Image

    THis finder chart was created with the ImageSolver and FinderChart tools in Pixinsight.

    The Location in the Sky

    This annotated image was created using the Pixinsight ImageSolve and ImageAnnotation scripts.

    About the Project

    Intro Video

    A few minutes of introduction for this project by yours truly! While the processing walkthrough at the end of this post is quite detailed, sometimes it is hard to determine why some steps are done in the sequence they are. I wanted to find a way to have a 50,000-foot view and get a sense of the forest versus the trees.

    In this video, I also cover the experiment I tried with creating an aggressive detail enhancement of the L-Starless image and compared it to a more selectively processed L-starless image.

    Choosing the Target

    This is the third target I have processed from my capture session in late October.

    I was away from home for a few weeks with plans on returning home just in time to start the next capture cycle. With longer nights, I had planned on capturing two waves of targets for each scope - and I made my plan accordingly.

    As I looked for what targets would be well positioned for me (and my tree line), I saw that the Heart Nebula would be within reach from about 1:45 am until about 5:30 am. I was still looking for something I could shoot later in the evening with my William Optics 132MM FLT platform, and I thought about The Heart Nebula. The problem was that the William Optics scope has an image scale large enough that there was no way I could fit this target into its field of view. In other cases, I have found some areas of interest in the larger target and focused in on that portion. Melotte 15 is an interesting area located right in the middle of IC1805, and I thought this would be a great target to go after. I used SGP’s Mosaic and Framing Wizard to dial in a nice composition, and I was ready to go! I planned to go for up to four nights of data capture.

    If you have seen the post for my previous two projects, then you know that I came home from my trip with a very bad cold. This cold worsened during the first two nights of capture until things got really bad for me. It evolved into the worst respiratory and sinus infections that I think I ever had in my life.

    It was so bad that everything just stopped - for weeks.

    This cost me two beautiful clear nights when I could have captured more photons - but that was just not in the cards!

    Data Capture

    Subs were captured over the nights of Oct 21 and 22.

    In general, these nights were clear and cool. The first night was a bit breezy, and I was concerned about my guiding given that my scopes are in the driveway and exposed - but the guiding stats looked good, and the subs showed good star images. I did not think either night was particularly transparent - but my subs seem to be looking reasonable, and I was satisfied.

    Data Analysis

    Blink analysis showed that the data looked pretty solid for all filters. No subs needed to be removed. I ended up with just shy of 5.5 hours of narrowband data. This was not the deep integration I had hoped for, and because of this, I did not feel I was in a position to use SubFrameSelector to identify outlier frames and cull them, as I often do. In fact, I skipped this step entirely and trusted the rejection logic to help me here.

    Previous Efforts

    I have never shot Melotte 15 before, but I have shot IC 1805 - The Heart Nebula - once before, about a year back in November of 2021. That was a deeper 11.5-hour narrowband integration that I thought came out quite nicely.

    You can see that project posting HERE. You can see that image below - along with the current one, for comparison.

    IC 1805 - taken in Nov 2021(click to enlarge)

    Melotte 15 - our curren image (click to enlarge)

    Image Processing

    This project, just like the last few, is an SHO narrowband capture with 5-minute subs. It should be no surprise that I am using the same basic processing workflows and strategies for all of these images.

    The basic flow is as follows:

    • Use a synthetic luminance image

      • Create the image

      • Process into the starless and stars-only image

      • Enhance the image for sharpness and detail

    • Create an SHO image

      • Process the master images

      • Adjust one to another

      • Create a color SHO image

      • Process into a starless and stars-only image

      • Process the image for excellent color and low noise

    • Prepare the star-only image

      • reduce exposure to reduce star sizes

    • Combine images

    • Roll L-starless image into SHO image

    • Add stars back in

    The processing flow for this project.

    I did try one interesting experiment this time around.

    The basic philosophy around the Lum vs. Color processing paths is that you optimize the Luminance image for detail and sharpness and then optimize the color image color and low noise. By themselves, the images each lack information that is contained by the other. In theory, folding the Lum image into the color image produces an image that is the best of both words. The resulting image inherits the detail and sharpens of the Lum image and the color and smoothness of the Color image.

    And this is how it basically works out. But I started to wonder how far I could take things.

    Let’s say I have a nice smooth color image - what if I folded in a Lum image that was very sharp and detailed - aggressively so? How would that work out?

    On the other hand, what if I was more strategic in preparing the Lum image? What if I selectively enhanced only critical elements of the scene?

    I used this image to try both approaches and see how they worked out.

    I did some aggressive detail enhancement for the whole L-Stareless image:

    • I pushed the contrast to a higher point

    • I did Local Histogram Equalization at a small, medium, and large scale and applied it to the entire image.

    • I did some aggressive sharpening.

    The resulting -starless image was very sharp and contrasty. I then folded this back into the color SHO image. The result was VERY sharp - actually way too sharp. The image seemed harsh and hard on the eyes.

    I then took a different L-Starless image and processed this with a much lighter hand:

    • I did a light-tone scale boost

    • LHE was still run to enhance at small, medium, and larger scales, but a mask was used to target these operations only to certain areas of interesting image structure - the rest of the image was left alone

    • Sharpening was avoided in this image - and only done further toward the end of the image processing effort.

    The result was very different and much more pleasing!

    L-Starless after aggressive Detail Enhancement (click to enlarge)

    L-Starless after more selective and controlled Detail Enhancement (click to enlarge)

    Once these L-starless images were folded into the SHO color image, you could also see the difference come through:

    Final image using aggressive L-Starless image (click to enlarge)

    Final Image from more targeted L-Starless Image (click to enlarge)

    While the high level of detail enhancement on the first image produced a final image that is very sharp - it is not as pleasing to my eye. It appears harsh, the background looks blotchy, and things just look unnatural to me. On the other hand, a more selective and targeted approach produces a very natural and pleasing image.

    So you can take things too far! You always want the resulting image to appear natural.

    Results

    Given the fact that my integration is as short as it was, I am very happy with where the image ended up. The image has good contrast and drama, and the colors are deep without going too far. The noise is well-handled, and the detail level is pretty good.

    With my last image, I was not sure if I really “loved” the results. No such issues here, as I am quite happy with the final image!

    A detailed Processing Walk-Through is provided for this image at the end of the posting…


    More Information


    Capture Details

    Lights Frames

    • Data were collected over two nights: Oct 21 & 22

    • 25 x 300 seconds, bin 1x1 @ -15C, Unity Gain, Astrodon 5nm Ha

    • 20 x 300 seconds, bin 1x1 @ -15C, Unity Gain, Astrodon 5nm O3

    • 20 x 300 seconds, bin 1x1 @ -15C, Unity Gain , Astronmiks 6nm S2

    • Total of 5 hours 25 minutes

    Cal Frames

    • 25 Darks at 300 seconds, bin 1x1, -15C, Unity gain

    • 15 Flats at bin 1x1, -15C, Unity gain - for Ha, O3, & S2 filters

    • 25 Dark Flats at Flat exposure times, bin 1x1, -15C, Unity gain

    Software

    • Capture Software: PHD2 Guider, Sequence Generator Pro controller

    • Image Processing: Pixinsight, Photoshop - assisted by Coffee, extensive processing indecision and second-guessing, editor regret, and much swearing…..


    Capture Hardware:

    • Scope: William Optics 132mm f/7 FLT APO Refractor

    • Focus Motor: Pegasus Astro Focus Cube 2

    • Cam Rotator: Pegasus Astro Falcon

    • Guide Scope: Sharpstar 61EDPHII

    • Guide Focus Motor: ZWO EAF

    • Mount: Ioptron CEM 60

    • Tripod: Ioptron Tri-Pier

    • Camera: ZWO ASI1600MM-Pro

    • Filter Wheel: ZWO EFW 1.2 5 x8

    • Filters: ZWO Gen II 1.25” LRGB,

      Astrodon 5nm Ha & O3 filters,

      Astronomiks 6nm S2 filer

    • Guide Camera: ZWO ASI290MM-Mini

    • Dew Strips: Dew-Not Heater strips for Main & Guide

      Scopes

    • Power Dist: Pegasus Astro Pocket Powerbox

    • USB Dist: Startech 8 slot USB 3.0 Hub

    • Polar Align Cam: Polemaster

    Software:

    • Capture Software: PHD2 Guider, Sequence Generator Pro controller

    • Image Processing: Pixinsight, Photoshop - assisted by Coffee, extensive processing indecision and second-guessing, editor regret, and much swearing…..

    Click below to see the Telescope Platform version used for this image:


    Image Processing Walk-Through

    (All Processing is done in Pixinsight - with some final touches done in Photoshop)

    1. Blink Screening Process

    • Ha

      • Nice clear images

      • No trails or gradients

      • no frames removed

    • O3

      • Nice clear images

      • No trails or gradients

      • no frames removed

    • S2

      • Nice clear images

      • No trails or gradients

      • no frames removed

    • Flats

      • Flats were collected for each night. However, the flats for the second night looked dark and a little strange. So for this project, we will use the flats from the first night for both nights.

    • Dark flats

      • Looks good

    • Darks

      • 300-sec darks all looked good.

    This s a short video showing the blink sequence for each filter.

    2. WBPP 2.5.3

    • Load lights

    • Load flats first night only

    • Load darks - from the first night of bubble nebula

    • Load 300-sec darks

    • Select Maximum Quality

    • Keyword:  Night

    • Output directory: wbpp

    • Set Dark Exposure tolerance: 0.0

    • Lights Exposure tolerance: 0.0

    • Enable image integration

    • Pedastal Image set to auto, set for all filters

    • CC set for all filters

    • Map missing flats and darks

    • Crashed during the first run!

    • 16 minutes to run

    Executed in 26 minutes - no errors

    WBPP Calibration view.

    WBPP Post-Calibration View

    The new pipeline screen for WBPP version 2.5

    3. Load Master Linear Images

    • Load the resulting Master Linear image and rename them.

    Rejection High - Ha (click to enlarge)

    Rejection Low - Ha (click to enlarge)

    Rejection High - O3 (click to enlarge)

    Rejection Low - O3 (click to enlarge)

    Rejection High - S2 (click to enlarge)

    Rejection Low - S2 (click to enlarge)

    Master Ha (click to enlarge)

    Master O3 (click to enlarge)

    Master S2 (click to enlarge)

    4. Crop all of the images

    • A common crop level was selected, and DynamicCrop was used to trim all of the master frames.

    • The edges were remarkably clean. Only a little had to be removed from the bottom edge.

    5. Dynamic Background Extraction

    • I saw little evidence of gradients in these images, so I opted to skip the DBE step for this project.

    6. Apply light Noise Reduction to the Ha, O3, and S2 Linear Master Images

    • A very light touch was used here.

      • Ha: Apply Noise XTerminator with a value of 0.4

      • O3: Apply Noise XTerminator with a value of 0.5

      • S2: Apply Noise XTerminator with a value of 0.4


    Master Linear Images - Before and After Noise XTerminator


    7. Create the Synthetic Lum image and Finish Linear Processing

    • We have three master images, which means we can use ImageIntegration to create the Synthetic Luminance Image.

    • I saved the 3 master images to disk.

    • I set up ImageIntegration to use those files, averaging for integration, and I disabled rejection.

    • Run and rename the new Luminance image.

     

    ImageIntegration Panel as used to create the Synthetic Lum image.

     

    The weights computed by ImageIntegration to combine the images

    The computed Lum Image.

    A 4-up panel showing the original and new computed L image for comparison.

    • Prepare for Deconvolution

      • Create PFS image using PFSImage script

    The PFSImage Panel with settings used

    The resulting final PSF image

    • Run Starmask to create the initial LDSI image (see panel snap for parameters)

    The StarMask panel set up to create the LDSI map.

    The HT tool was used in this config to boost the LDSI image

    • Compare the mask to the original image - the stars in the mask are too small to cover the stars in the image.

    • Apply HT Boost (see panel snap for parameters) 3 more times until star sizes match.

    Checking the LDSI image against the Master L image - Star mask images are too small. (click to enlarge)

    Checking again after apply 3 more levels of boost - sizes now look good! (click to enlarge)

    The Final LDSI image

    • Select Preview regions on the image for Decon exploration

    These preview regions were selected to iteratively test the decon panel parameters for optimized results.

    • Iteratively run decon on previews until parameters are finalized (see panels snap for final values)

     

    The final Deconvolution Parameters are shown

     

    Master L - Before and After Deconvolution


    8. Process the Linear Master L Image: Option 1 - Aggressive Enhancement

    • Take the Lum image nonlinear using the MaskedStretch Process. Select a background preview and run the tool with default values

    • Do a final adjustment with CT.

    The initial nonlinear L image after Masked Stretch (click to enlarge)

    After Masked Stretch and a CT adjustment (click to enlarge)

    • Create a Starless Version of the image using StarXTerminator - creating a star image as well as using “Unscreen Stars”

    The RC-Astro StarXTerminator Panel with settings used.

    The Initial Starless L image (click to enlarge)

    The initial Stars-Only Image (click to enlarge)

    • Apply CT globally

    • Enhance detail of the using Local Histogram Equalization (LHE). These changes will be applied to the entire image.

      • Enhance mid-scale detail with LHE radius=64, contrast limit=2, Amount=0.27, and 8-bit histograms

      • Enhance small-scale detail with LHE radius=22, contrast limit=2, Amount=0.15, and 8-bit histogram

      • Enhance larger-scale detail with LHE radius=300, contrast limit=2, Amount=0.2, and 10-bit histogram

    After CT applied (click to enlarge)

    Mid-Scale LHE enhancement (click to enlarge)

    Small-Scale LHE enhancement (click to enlarge)

    Large-Scale LHE Enhancement (click to enlarge)

    • Make a Lum mask by creating a copy of the L-Starless image.

      • Use HT to boost contrast and form an “object mask”

      • Soften the mask by applying Convolution with a stdev of 10

      • Apply a final CT

    • Apply the Lum mask and Invert it so that the background is exposed

    • Apply Noise XTerminator with a value of 0.8

    • Invert the mask

    • Apply MLT Sharpening (see panel snap below for details)

    The lumnance mask created. (click to enlarge)

    Lum Mask after Convolution (Click to enlarge)

    Lum Mask After HT adjustment to create an Object Mask (click to enlarge)

    Lum Mask after a final CT tweak (click to enlarge)

     

    The MLT panel with the sharpening parameters used.

     

    Masked Regions - Before & After Noise Reduction and Sharpening


    Final Starless Lum Image created with aggressive global enhancement

    9. Process the Linear Master L Image: Option 2 - Selective Enhancement

    • Use the L-starless image after conversion to nonlinear space as a common starting point

    • Create a GAME mask that highlights and isolates the main structures of Melotte 15

    • Apply the mask and then enhance detail at various scales with Local Histogram Equalization (LHE)

      • Enhance mid-scale detail with LHE rdius=64, contrast limit=2, Amount=0.27, and 8-bit histograms

      • Enhance larger-scale detail with LHE rdius=300, contrast limit=2, Amount=0.2, and 10-bit histogram

      • Enhance small-scale detail with LHE rdius=22, contrast limit=2, Amount=0.15, and 8-bit histogram

    • Apply Noise XTerminator to the whole image with a value of 0.6

    • Apply a final tweak of CT

    • This will produce an image that is sharper in the most interesting details but also appear smooth and more natual.

    Common Starting Point L-Starless Image

    Game Mask to isolate key areas with interesting Structures (click to enlarge)

    The GAME Mask in use showing coverage. (click to enlarge)

    After mid-scale LHE enhancement with mask applied (click to enlarge)

    Large-Scale LHE enhancement with maks applied. (click to enlarge)

    Small-scale LHE enhancement with mask applied (click to enlarge)


    Before and After Noise XTerminator


    After final CT adjustment

    10. Compare the two L-Starless Options

    • Option #1 is very sharp - but tends to look unnatural, and the background cloud details look clumpy.

    • Option #2 looks smoother and pretty natural with the main details enhanced

    • We will wait and see how these combine with the Color SHO image that we will create next

    Option # 1 Aggressive Detail Enhancement (click to enlarge)

    Option 2: More selective Detail Enhancement (click to enlarge)

    12. Create and Process the Initial Color SHO image.

    • Take Master Images Nonlinear with the STF->HT method

    • Analyze images and tweak with CT to better match one to another

    • Use ChannelCombination to create the initial SHO image

    • Apply SCNR green 75% to reduce strong green case

    • Invert the image

    • Apply SCNR green 75% to reduce strong green case

    • Invert the image

    • Go starless using StarXTerminator - also, create a star map and unscreen the stars.

      • This will give us the option to use color stars later on if we want.

    The original nonlinear images: Ha, O3, and S2.

    After hand-tweaking the images.

    The initial SHO color image. (click to enlarge)

    Invert the image. Now magenta areas are green (click to enlarge)

    After SCNR for Green. (Click to enlarge)

    Apply SCNR for green. (click to enlarge)

    Invert the image and adjust globally with CT. (click to enlarge)

     

    StarXTermintor Panel

    Initial Starless Image(click to enlarge)

    The initial color Stars-Only Image (click to enlarge)

    • Create Color Masks with the Color Mask Script

      • create with -2 layers for softness

      • create Blue, Green, and Yellow masks

      • Boost each mast with HT

      • Apply Convolution with a stddev of 9

    • Apply Blue Mask and adjust with CT

    • Apply Green Mask and adjust with CT

    • Apply Yellow Mask and adjust with CT

    • Apply CT

    • Do an aggressive Noise XT of 0.8

    Blue Initial Mask (click to enlarge)

    Green initial Color Mask (click to enlarge)

    Yellow Initial Color Mask (click to enlarge)

    Blue Mask boosted with HT (click to enlarge)

    Green Mask boosted (click to enlarge)

    Yellow Mask Boosted (click to enlarge)

    Blue Color Mask. convolved (click to enlarge)

    Green Mask Convolved (click to enlarge)

    Yellow Mask Convolved (click to enalrge)

    CT Adjust with Blue Mask (click to enlarge)

    CT Adjust with Green Mask (click to enlarge)

    CT Adjust with Yellow Mask (click to enlarge)

    A final CT adjust

    Before and After Noise XTerminator 0.8

    SHOStarless Image before LStarless Image is inserted


    13. Insert L_Starless image options and choose the best

    • Use LRGBCombination to fold in Option #1 L-Starless Image - Aggressive Detail enhancement

    • Use LRGBCombination to fold in Option #2 L-Starless Image - Selective Detail enhancement

    • The aggressive one has a very blotchy background, and the sharp structures do not look natural. The Selective Detail Enhancement Approach wins the day!

    SHO_Starless with L-Starless (Aggressive) folded in (click to enlarge)

    SHO_Starless wth L-Starless Opton #2 (Selective) folded in (click to enlarge)

    14. Finish Processing the SHO_Stareless Image

    • Apply the Lum Mask and Invert

    • Apply Noise XTerminaor 0.6

    • Invert the Lum Mask

    • Apply MLT Sharpening (same parameters as used before)

    • Apply a final CT

    Apply CT and touch up tone scale and color.

    Lum Mask (for sharpening) (click to enlarge)

    Lum Mask Inverted (for Noise XT) (click to enlarge)


    Before and After Noise XT, and Sharpening - All using the Lum Mask


    Final Starless Version After a final CT

    15. Process the Stars-Only Image

    • I decided to use the SHOstarsOnly version of the stars so I could get some color in the stars- even if the color levels were very modest.

    • I used the CT to reduce the size of the stars and reduce the sat of the star colors

    The Original SHO Stars-Only image (click to enlarge)

    After Adjustment with CT (click to enlarge)

    16. Add Stars Back In and Process

    • Using a screening equation and PixelMath, add the stars back in. See the PixelMath Panel snap below.

     

    The PixelMath Script used to screen the stars back in.

     

    Stars screened in.

    17. Final Processing Touches

    • I’d like to sharpen up the detail around the outside of the image

    • Create GAME Script that covers

    • Apply the mask and do LHE 64, 2, 0.18, 8-bit historgram

    • Run the DarkStructuresEnhance Script

    GAME Mask covering outer detail (click to enlarge)

    Showing what the GAME Mask is overing (click to enlarge)

    After a light application of LHE with a targeting GAME mask applied.

    DarkStructureEnhance Parameters Used.

    DarkStructuresEnhance.

    19. Export to Photoshop

    • Save images as Tiff 16-bit unsigned and move to Photoshop

    • I tweaked things with the camera filter clarity, curves, and color mix - in a global adjustment

    • I used the lasso tool with a feather of 150 pixels and selected small areas of detail in the yellow region and enhanced them with the Clarity tool.

    • I added watermarks and title sections

    • Export Clear, Watermarked, and Web-sized jpegs.

    The Final Image

    Patrick A. Cosgrove

    A retired technology geek leveraging his background and skills in Imaging Systems and Computers to pursue the challenging realm of Astrophotography. This has been a fascinating journey where Art and Technology confront the beauty and scale of a universe that boggles the mind…. It’s all about capturing ancient light - those whispering photons that have traveled long and far….

    https://cosgrovescosmos.com/
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