The Little Dumbbell Nebula gets its name because it kinda looks like a tinier version of the Dumbbell Nebla M27 (yes, a different palette was used for this pic). It's really tiny compared to the uncropped FOV. I'm a lot happier with this attempt at it, compared to my 2019 pic of M76 with the same equipment. I know It's a bit out of season rn but I needed something to shoot at the start of the night. The nebulosity itself is false color, but the stars are true color RGB. Captured over 10 nights in Feb/Mar 2024 from a bortle 9 zone (I could only get a couple hours max per night on it.
duplicated each image and removed stars via StarXterminator. Ran DBE with a shitload of points to generate background model. model subtracted from original pic using the following PixelMath (math courtesy of /u/jimmythechicken1)
$T * med(model) / model
Narrowband Linear:
Blur and NoiseXTerminator
StarXterminator to completely remove stars (to be later replaced by the RGB ones)
ArcsinhStretch to slightly stretch nonlinear
iHDR 2.0 script to stretch each channel the rest of the way.
As a beginner, seeing this information really helps. Thanks for including it all and you’ve made a fantastic picture.
I have a couple questions if you don’t mind: what does NB and BB mean and regarding the number of calibration frames, do those numbers represent your choice at imaging time or what remained after excluding any that you or the software didn’t like? Thanks!
NB = narrowband (the Ha and Oiii filters) and BB = broadband (the RGB filters). Because I’ve got a lot of light pollution I use a lower gain for the broadband filters since they let a lot more light through.
I only count exposures post-rejection. The morning after imaging I’ll look through the pics and delete them if it was cloudy, out of focus, not centered, or if the stars trailed. The rest go on to get calibrated and stacked for the final image.