I acquired this dataset using two dualband external filters with my Seestar S50. I couldn't get as many subs as I wanted because of the weather, but I went ahead and processed my dataset. It's looking good, so I'll definitely add more subs in the future!
Equipment and data acquisition:
– Seestar S50, EQ mode, 20sec subs
– Askar C1/C2 filters (Halpha-OIII and SII-OIII) with a 3D-printed filter holder
– Roughly 3 hours of acquisition per filter from a Bortle 4 location
Processing (PI)
– WBPP for each filter set. Photometric mosaic to combine the 3 panes for each stack
– SetiAstro AutoDBE, BlurX and StarX on each stack
– Star alignment of the two stacks and dynamic crop
– Starless images: channel separation; from the Ha-OIII stack, keep R as master Ha; combine G and B in Pixelmath (average) to give OIII-1. From the SII-OIII stack, keep R as master SII; combine G and B as for Ha-OIII stack to give OIII-2. Then, combine OIII-1 and OIII-2 in Pixelmath (0.3OIII-1) + (0.7OIII-2) to give master OIII.
– For each Ha, SII and OIII master, multiscale adaptive stretch, then manual curves transformation. NoiseX.
– SetiAstro Perfect Palette picker (SHO)
– SCNR
– Curves transformation with various range and color masks; HDR multiscale transform.
– Stars: combined both stacks (not sure it adds much), SetiAstro Star stretch, reduced saturation
– Star recombination retouches with curves transformation and in LightRoom
by Techno-Scientist
4 Comments
Very good work, detailed
I assume this was done in mosaic mode? I’m always wondering how integration time can be calculated, since different parts of the target get different coverage. I think the best that can be done is an average integration time?
Incredible detail and great processing! This is the best seestar data I’ve ever seen.
I just cannot wrap my head around those pictures! And I’m here proud of myself of taking a picture of the Moon 😅 Your photos are so so amazing and you get 150 upvotes at max. They deserve so much more!!