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I agreeImaging telescope or lens:Teleskop-Service ONTC 8" f4
Imaging camera:ZWO ASI1600MM-Cool
Mount:Astro-Physics Mach1GTO
Guiding telescope or lens:Teleskop-Service ONTC 8" f4
Guiding camera:SXV Lodestar
Software:Aries Productions Astro Pixel Precessor, Self Developed RASS, PixInsight, Photoshop CS3
Filters:Astrodon Ha 1.25 5nm, Astrodon OIII 1.25 3nm
Accessory:Skywatcher Coma corrector
Resolution: 2306x1716
Dates:July 29, 2019, July 30, 2019, Aug. 3, 2019, Aug. 5, 2019, Aug. 12, 2019
Frames:
Astrodon Ha 1.25 5nm: 44x300" (gain: 139.00) -10C bin 1x1
Astrodon OIII 1.25 3nm: 146x300" (gain: 139.00) -10C bin 1x1
Integration: 15.8 hours
Avg. Moon age: 14.81 days
Avg. Moon phase: 27.83%
Astrometry.net job: 2859575
RA center: 302.558 degrees
DEC center: 36.170 degrees
Pixel scale: 1.963 arcsec/pixel
Orientation: 33.946 degrees
Field radius: 0.784 degrees
Data source: Backyard
This is an experiment of sorts. I took the Ha and OIII data and stretched them with the Delinear script in Pixinsight. Then I loaded each as layer in Photoshop and then used GradientMap to map the OIII data to a bluish color I liked and then mapped the Ha data to a golden color. I set each layer to 'Linear Dodge' and blended them with a background solid layer set to (18/18/18) RGB.
After lots of futzing around with minimizing stars and using the high pass filter to enhance contrast I settled on this version.
I feel I was able to better present the faint tendrils of WR134 by mapping directly to a bluish color compared to when I tried variations of HOO with the Green channel being a linear combination of Ha and OIII. The output of those tests always needed considerable SelectiveColor help in Photoshop that eventually degraded the tendrils in WR134.
It was a fun experiment.
All the data with collected with RASS which is an automation suite I've written in Python. There is no GUI like traditional programs. I have a "sequence server" that connects to all the hardware and accepts sequence requests. It handles pre-pointing, focusing, pier flipping, etc.
I have another program that I feed in project definitions and it schedules the requested observations and feeds them to the sequence server.
A project definition is just a list of targets with priorities and a list of observations for each filter for each target, also with optional priories. You can also set constraints on altitude and start/end time. All of this is stored in YAML files which are quick and easy to edit by hand.
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