5,000 light years away from our planet, an open cluster of young and bright suns excite nearby atoms to produce this flowery nebula, the Rosette Nebula.
I calibrated the frames, stacked them and star-alligned them using Star Alignment. Then, I used Pixel Math algorithms to process the data with a specific pattern that NASA scientists are using to produce the stunning photos from the data they gather from the space Hubble telescope, Hubble pallete aka SHO (stands for Sulfur II, Hydrogen-α and Oxygen III).
I spent 3 hours fine-tuning the algorithm, performing a series of pixel-level arithmetic and logical operations between images and suddenly I got the perfect result. Then, I applied noise reduction with ACDNR that stands for Adaptive Contrast-Driven Noise Reduction, a highly flexible implementation of a novel noise reduction algorithm. I also used Automatic Background Extractor, Histogram Transformation, auto-stretched it with STF (Screen Transfer Function) and improved the contrast and saturation with Curves Transformations.
In the end, I applied some final touches with Photoshop including a Selective Sharpen method with the High Pass Filters, which worked really well.
26th & 27th February, 25th, 28th March 2019, Bedworth, GMT+0, United Kingdom, Bortle Class 5 ~SGM: 19.57 mag./arc sec2
Camera: ZWO ASI 1600MM-PRO USB 3.0 Mono (Type CMOS)
Sensor Cooling Temperature: -15C
Filters: 1.25" 5nm Astrodon Ha, 1.25" 3nm Astrodon OIII, 1.25" 3nm Astrodon SII
Imaging Telescope: Takahashi FS-60CB
Correcting Lens: Takahashi Reducer 0.72x (composite focal length at 264mm and focal ratio at f/4.9)
Mount: iOptron CEM25EC
12Bit ADC (FITS)
50 x 180" Ha subs (Unity Gain, Gain: 139, Offset: 21, Binning 1x1)
42 x 180" OIII subs (Unity Gain, Gain: 139, Offset: 21, Binning 1x1)
42 x 180" SII subs (Unity Gain, Gain: 139, Offset: 21, Binning 1x1)
20 Darks, 20 Flats
PixInsight 1.8 Core