Celestial hemisphere:  Northern  ·  Constellation: Cygnus (Cyg)
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Tulip Nebula, SH2-101 in SHO with RGB stars, Alastairmk
Tulip Nebula, SH2-101 in SHO with RGB stars
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Tulip Nebula, SH2-101 in SHO with RGB stars

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Tulip Nebula, SH2-101 in SHO with RGB stars, Alastairmk
Tulip Nebula, SH2-101 in SHO with RGB stars
Powered byPixInsight

Tulip Nebula, SH2-101 in SHO with RGB stars

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Description

This SHO image of the Tulip Nebula in the constellation Cygnus was acquired at my backyard observatory over 14 nights in August 2022.  It is based on 480s exposures through 5nm and 3nm filters for a total integration time of 22.7 hours.  The stars were imaged in RGB colour for a further 2.5 hours and merged with the narrowband data using Pixelmath in Pixinsight at a late stage in the processing.  The data had a very strong Ha signal and very weak OIII signal which made it difficult to bring out colour in the image. This is my first attempt at stretching linear image using the generalized hyperbolic stretch (GHS) scrip.  With five degrees of freedom to play with this approach has a steep learning curve and no doubt the image could be improved.  I removed all the SHO stars and worked with a starless narrowband image.  With GHS it is possible to bring out a lot of the turbulent dust in the background but much of this is swamped by the starfield. Exposures:Ha        53 x 480s 5nm Astrodon filterSII        61 x 480s 3nm Chroma filterOIII      56 x 480s 3 nm Chroma filter R          49 x 60s Astrodon filterG         48 x 60s Astrodon filterB          50 x 60s Astrodon filter Processing in Pixinsight.  Linear: WBPP, DynamicCrop, DynamicBackgroundExtraction (2-3 passes) to remove light pollution gradients, RGBCombination, EZDeconvolution, removal of stars with StarExterminator, EZDenoise.  Stretching to non-linear with GeneralizedHyperbolicStretch (many attempts!), blend in RGB stars, final denoise with TGV and MMT (masked).

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Tulip Nebula, SH2-101 in SHO with RGB stars, Alastairmk

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