I really hope they have some cameras on em

Supposedly the show has had a 7 season storyline planned from the start

Might be some bug in automation?

https://old.reddit.com/r/ModSupport/comments/1ii67mt/_/mb3fewv

Full of soup

Had a previously banned user from a discord I moderate join back months later with my wife’s name as their username and a photo of her as the pfp

smoke weed, drink, jerk off, and play vrchat!

Go for it

So technically 32 Cygni is just the bright star in the pic, and the rest of it is just hydrogen gas floating around in space. The constellation Cygnus has a ton of this hydrogen-alpha gas floating around, and I kinda just pointed at a semi-random spot in the constellation to get a pic. Although this was taken with an Ha filter, the stars are true color RGB, and I mapped the Ha channel to red so it closely resembles the actual color of hydrogen-alpha. Also for those curious here is a starless version that better shows the faint nebulosity/structures. Also pls ignore the crunchiness around 32 Cyg itself, it’s an artifact of my camera’s microlensing + the star removal program I use. Captured over like a dozen nights in December 2024 from a bortle 9 zone.

Places where I host my other images:

Flickr | Instagram

Equipment:

• TPO 6" F/4 Imaging Newtonian

• Orion Sirius EQ-G

• ZWO ASI1600MM-Pro

• Skywatcher Quattro Coma Corrector

• ZWO EFW 8x1.25"/31mm

• Astronomik LRGB+CLS Filters- 31mm

• Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm

• Agena 50mm Deluxe Straight-Through Guide Scope

• ZWO ASI-290mc for guiding

• Moonlite Autofocuser

Acquisition: 29 hours 18 minutes (Camera at -15°C), unity gain

• Ha - 161x600"

• R - 51x60"

• G - 59x60"

• B - 48x60"

• Darks- 30

• Flats- 30 per filter

Capture Software:

• Captured using N.I.N.A. and PHD2 for guiding and dithering.

PixInsight Preprocessing:

• BatchPreProcessing

• StarAlignment

• Blink

• ImageIntegration per channel

• DrizzleIntegration (2x, Var β=1.5)

• Dynamic Crop

• DynamicBackgroundExtraction

  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 from each the image

• HistogramTransformation to stretch nonlinear (calling this the Ha image now)

Broadband/RGB linear:

• ChannelCombination to make color image from R G and B stacks

• StarX (correct only)

• SpectrophotometricColorCalibration

(duplicated image at this point, to be used for stars only processing later)

• StarX to completely remove stars (at this point it’s just background, with a little bit of signal in the R channel)

• Blended unstretched Ha image into the red (and a little bit of the blue channel) with this pixelmath:

  R = $T+B*(Ha- med(Ha))

  G = $T

  B = $T+B*0.2*(Ha- med(Ha))

  honestly can’t remember what I used for the B constant, but the default is 2 in my pixelmath ¯\_(ツ)_/¯

• HistogramTransformation to stretch nonlinear (calling this the Starless image now)

Stars only processing:

• HSV repair to fix blown out star cores

• StarXterminator to generate an image containing only the stars (without any background)

• ArcsinhStretch + Histogramtransformation to stretch nonlinear (Calling this the Stars image now)

Nonlinear:

• LRGBCombination to add the stretched Ha image to the stretched Starless image as a luminance layer

• NoiseXterminator

• Background neutralization

• Several curve transformations to adjust lightness, contrast, saturation, color balance, etc

• LocalHistogramEqualization

• Another round of noiseX

• Pixelmath to add in the stretched RGB Stars image from earlier

  This basically re-linearizes the two images, adds them together, and then stretches them back to before. More info on it here)

  mtf(.005,

  mtf(.995,Stars)+

  mtf(.995,Starless))

• few more curve adjustments

• FastRotation 180 degrees (pic was originally upside down)

• DynamicCrop again (just a little bit)

• Resample to 60%

• Annotation

I decided to do a deep dive into just the core of the Heart Nebula itself. Mellotte 15 is the name for the bright structure in the image, but the rest of the nebula itself is pretty extensive, and features the nearby soul nebula. IMO the uncropped heart nebula looks more like a chode with huge balls, but I can kinda see where it got it’s heart name… Captured over 8 nights in November 2024 from a bortle 9 zone.

Places where I host my other images:

Flickr | Instagram

Equipment:

• TPO 6" F/4 Imaging Newtonian

• Orion Sirius EQ-G

• ZWO ASI1600MM-Pro

• Skywatcher Quattro Coma Corrector

• ZWO EFW 8x1.25"/31mm

• Astronomik LRGB+CLS Filters- 31mm

• Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm

• Agena 50mm Deluxe Straight-Through Guide Scope

• ZWO ASI-290mc for guiding

• Moonlite Autofocuser

Acquisition: 29 hours 50 minutes (Camera at -15°C), unity gain

• Ha - 58x600"

• Oiii - 62x600"

• Sii - 59x600"

• Darks- 30

• Flats- 30 per filter

Capture Software:

• Captured using N.I.N.A. and PHD2 for guiding and dithering.

PixInsight Preprocessing:

• BatchPreProcessing

• StarAlignment

• Blink

• ImageIntegration per channel

• DrizzleIntegration (2x, Var β=1.5)

• Dynamic Crop

• DynamicBackgroundExtraction

  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

• made SHO image and extracted stars to be processed separately

• StarXterminator to completely remove stars from each Ha, Oiii, and Sii image

• HistogramTransformation to stretch nonlinear

Stars only image:

• SpectrophotometricColorCalibration (narrowband working mode)

• HSV repair

• arcsinhstretch

• scnr > invert > scnr > invert to remove greens and magentas

• HistogramTransformation

• (combined with starless pic later on)

Nonlinear:

• PixelMath to combine monochrome Ha Oiii and Sii images into a color image with SHO --> RGB, respectively

• HistogramTransformation to adjust red green and blue color channels separately (basically stretched R and B, and toned the G down some)

• LRGBCombination using stretched Ha as luminance

• DeepSNR

• Shitloads of Curve Transformations to adjust lightness, hues, contrast, saturation, etc

• Clone stamp to remove one weird small blue speck near the core of the nebula (might’ve just clipped the colors a little too much in the histogram adjustments above^)

• LocalHistogramEqualization (two rounds of this. one at kernel radius 16 for small scale detail, and one at 500 for large structures)

• More curves

• DarkStructureEnhance script (0.15 amount)

• Pixelmath to add in the stretched RGB stars only image from earlier

  This basically re-linearizes the two images, adds them together, and then stretches them back to before. More info on it here)

  mtf(.005,

  mtf(.995,Stars)+

  mtf(.995,Starless))

• some more curves

• One more round of noiseX for small scale noise reduction

• DynamicCrop in on just the core region

• Resample to 80%

• Annotation

Yea I fuck**g hate it

Still shooting in Cygnus…

Though I think IC1318/γ Cyg can be used to describe most of the nebulosity around the star Sadr, stellarium has it directly over the bright nebula in this image. Overall I’d consider it an improvement over my last go at it back in 2020. Captured over 12 nights from Oct-Nov 2024 from a bortle 9 zone.

Places where I host my other images:

Flickr | Instagram

Equipment:

• TPO 6" F/4 Imaging Newtonian

• Orion Sirius EQ-G

• ZWO ASI1600MM-Pro

• Skywatcher Quattro Coma Corrector

• ZWO EFW 8x1.25"/31mm

• Astronomik LRGB+CLS Filters- 31mm

• Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm

• Agena 50mm Deluxe Straight-Through Guide Scope

• ZWO ASI-290mc for guiding

• Moonlite Autofocuser

Acquisition: 25 hours 40 minutes (Camera at -15°C), unity gain

• Ha - 50x600"

• Oiii - 57x600"

• Sii - 47x600"

• Darks- 30

• Flats- 30 per filter

Capture Software:

• Captured using N.I.N.A. and PHD2 for guiding and dithering.

PixInsight Preprocessing:

• BatchPreProcessing

• StarAlignment

• Blink

• ImageIntegration per channel

• DrizzleIntegration (2x, Var β=1.5)

• Dynamic Crop

• DynamicBackgroundExtraction

  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

• made SHO image and extracted stars to be processed separately

• StarXterminator to completely remove stars from each Ha, Oiii, and Sii image

• HistogramTransformation to stretch nonlinear

Stars only image:

• SpectrophotometricColorCalibration (narrowband working mode)

• HSV repair

• arcsinhstretch

• scnr > invert > scnr > invert to remove greens and magentas

• HistogramTransformation

• (combined with starless pic later on)

Nonlinear:

• PixelMath to combine monochrome Ha Oiii and Sii images into a color image with SHO --> RGB, respectively

• slight SCNR (bright areas protected with Ha mask)

• Some curves to adjust colors

• LRGBCombination using stretched Ha as luminance (accidentally left that Ha mask on from earlier so it applied more to the bright parts, and honestly turned out nicer than applying the Ha luminance to the entire image)

• Shitloads of Curve Transformations to adjust lightness, hues, contrast, saturation, etc

• DeepSNR

• MLT for small scale chrominance noise reduction

• DarkStructureEnhance script

• LocalHistogramEqualization

• more curves

• invert > slight scnr (masked) > invert to remove some background magentas

• even more curves

• Pixelmath to add in the stretched RGB stars only image from earlier

  This basically re-linearizes the two images, adds them together, and then stretches them back to before. More info on it here)

  mtf(.005,

  mtf(.995,Stars)+

  mtf(.995,Starless))

• Resample to 65%

• Annotation

Not to self promote my own community too much, but !astrophotography@lemmy.world if you wanna see amateur photos of space

Decided to just shoot a semi-random part of Cygnus. The large extended Ha region in Cygnus is unofficially called Smaug, and this is a photo specifically of the area around LBN 325/326. The nebulosity in this pic is false color, but the stars are true color RGB. I really love how this turned out with the narrowband palette, especially with the Oiii region on the right side looking almost like a true color Ha region. Captured over a shitload of nights from Aug-Oct 2024 from a bortle 9 zone.

Places where I host my other images:

Flickr | Instagram

Equipment:

• TPO 6" F/4 Imaging Newtonian

• Orion Sirius EQ-G

• ZWO ASI1600MM-Pro

• Skywatcher Quattro Coma Corrector

• ZWO EFW 8x1.25"/31mm

• Astronomik LRGB+CLS Filters- 31mm

• Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm

• Agena 50mm Deluxe Straight-Through Guide Scope

• ZWO ASI-290mc for guiding

• Moonlite Autofocuser

Acquisition: 57 hours 40 minutes (Camera at -15°C), NB exposures at unity gain and BB at half unity

• Ha - 111x600"

• Oiii - 127x600"

• Sii - 94x600"

• R - 48x60"

• G - 48x60"

• B - 44x60"

• Darks- 30

• Flats- 30 per filter

Capture Software:

• Captured using N.I.N.A. and PHD2 for guiding and dithering.

PixInsight Preprocessing:

• BatchPreProcessing

• StarAlignment

• Blink

• ImageIntegration per channel

• DrizzleIntegration (2x, Var β=1.5)

• Dynamic Crop

• DynamicBackgroundExtraction

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)

• HistogramTransformation to stretch nonlinear

RGB Linear:

• ChannelCombination to combine monochrome R G and B frame into color image

• SpectroPhotometricColorCalibration

• BlurXTerminator for star sharpening (correct only)

• HSV Repair

• StarXterminator to generate a stars-only image

• ArcsinhStretch + HT to stretch nonlinear (to be combined with starless narrowband image later)

• Invert > SCNR > invert to remove magentas

• Curves to saturate the stars a bit more

Nonlinear:

• PixelMath to combine monochrome Ha Oiii and Sii images into a color image with Jimmy’s Royale Palette

R = 0.3*Oiii+0.7*(Oiii^~(0.7*Ha+0.3*Sii))^1.2

G = ((Oiii*Ha)^~(Oiii*Ha))*Ha + _((Oiii*Ha)^(Oiii*Ha))*Sii

B = 0.9*Sii+Ha-Oii

• NoiseX again

• Shitloads of Curve Transformations to adjust lightness, hues, contrast, saturation, etc

• more curves

• Extract L --> LRGBCombination for chrominance noise reduction

• even more curves

• Pixelmath to add in the stretched RGB stars only image from earlier

This basically re-linearizes the two images, adds them together, and then stretches them back to before. More info on it here)

mtf(.005,

mtf(.995,Stars)+

mtf(.995,Starless))

• Couple final curves

• Resample to 60%

• Annotation

0, I’m just raw dogging /all (minus whomever .world is defederated from)

Med student here. I probably would’ve failed a lot of in house exams/step 1 if I didn’t use anki. IMO it’s best for solidifying knowledge and quick recall of facts, but doing a shitload of practice questions is the best way to apply what you’ve memorized through anki (this last bit is most applicable to med school/mcat prep).

Really the main cost with it is your time. If you miss a day or two it can be daunting to get back in the groove and work on your review backlog. I usually have enough downtime during the day and time on the shitter to get through my reviews + whatever new cards I add. Anki itself is free but they do have a paid iOS app that I got just to use whenever I had a few mins of spare time.

As for the learning curve, this will vary if you’re making your own cards vs using a premade deck for a large standardized exam. Once you know the formatting it isn’t that difficult to make cloze cards for what you’re trying to learn.

He’s just a skeegy little guy

Clearly OP thinks newtonians are the superior telescope design to refractors

say goodbye to your wallet then

Although the Orion Nebula is a popular beginner astrophotography target, it can be difficult to shoot because of the bright core. Combining images with different exposure lengths into an HDR image is necessary in order to properly expose for the faint dust surrounding M42 and the bright nebulosity near the trapezium cluster in the core. I opted to go for a more subtle HDR look with this one, which I think is more visually pleasing than some other overcooked HDR images (aka my previous attempt at it). Also for those interested I made a short time lapse of my telescope in action photographing this. Captured on January 22, 23, and February 7th, 2021 from a Bortle 6 zone (Probably higher local bortle level due to streetlamp at the south end of my driveway)

Places where I host my other images:

Instagram | Flickr

Equipment:

• TPO 6" F/4 Imaging Newtonian

• Orion Sirius EQ-G

• ZWO ASI1600MM-Pro

• Skywatcher Quattro Coma Corrector

• ZWO EFW 8x1.25"/31mm

• Astronomik LRGB+CLS Filters- 31mm

• Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm

• Agena 50mm Deluxe Straight-Through Guide Scope

• ZWO ASI-120MC for guiding

• Moonlite Autofocuser

Acquisition: 5 hours 54 minutes (Camera at Unity Gain, -20°C)

• L- 109x120" + 50x15" + 50x5"

• R- 23x120" + 25x15"

• G- 23x120" + 25x15"

• B- 22x120" + 25x15"

• Darks- 30

• Flats- 30 per filter

Capture Software:

• Captured using N.I.N.A. and PHD2 for guiding and dithering.

PixInsight Processing:

• BatchPreProcessing

• StarAlignment

• Blink

• ImageIntegration

• DrizzleIntegration per stack per channel (2x, Var β=1.5)

• HDRComposition per filter to make 64-bit HDR images

• DynamicCrop

• DynamicBackgroundExtraction

Luminance:

• EZ Deconvolution

• EZ Denoise

• STF applied via HistogramTransformation to make nonlinear

RGB:

• ChannelCombination to combine monochrome R, G, and B HDR stacks into color image

• DynamicBackgroundExtraction

• PhotometricColorCalibration

• SCNR to partially remove greens

• HSV repair to saturate clipped star cores

• Linked STF applied via HistogramTransformation to make nonlinear

Nonlinear:

• EZ HDR applied to reveal detail in blown out core per Luminance and RGB images

I opted to only mix 10% of the HDR image back in the original luminance. Wanted to go with a more subtle HDR look that didn’t feel too ‘overcooked’ while keeping some of the nebulosity near the trapezium visible in the final image.

• LRGBCombination to add lum image as a luminance layer to the RGB image

• CurveTransformation to adjust lightness, contrast, and saturation

• ACDNR

• LocalHistogramTransformation

• HistogramTransformation to slightly stretch image

• Another Curve for saturation boost

• EZ Star Reduction

• Resample to 78%

• Annotation