It varies a LOT from camera to camera, but a lot of them have a sweet spot around 800-1600 for astro. For astro/low light photography, a higher ISO actually decreases the noise in the image, as the signal gets amplified before it's read. You can test it for yourself by taking several pics of something dark, and changing only the ISO between shots. Matching the brightness in post-processing helps show the noise in low ISO images.

Also IIRC a lot of Sony cameras are noise-invariant when changing ISO

Two weeks while backpacking in New Mexico (unless you count getting rained on every day as a shower)

Was any processing done to this?

Ever since they got rid of woke the starships just keep blowing up

I know a few attendings that use it for dictation. It’ll record the entire convo with the patient, plus whatever the doc dictates to it, and by the time they’re out of the room a note is typed up in the right format they wouldn’t have to stare at the computer the whole visit. According to them it’s a lot more time efficient to have it dictate the notes and double check them at the end of the day, versus typing something up after every patient. It is approved by the hospital and integrated directly into the EMR, so I guess it’s HIPAA compliant

How times have changed

I truly hope the starship program succeeds just so he can fuck off to mars already

Got a training workshop most of the day Saturday, but Saturday night is bad movie night (we’re watching Ben and Arthur), and then I’m doing jack shit on Sunday and sleeping in

brb gonna post space pics to onlyfans now

ship loses attitude control and burns up on reentry

Welcome back, starship flight 3

Phenomenal season all around! Can’t wait for season 3 where Nathan breaks down communication barriers between surgeons and anesthesiologists /s

If you still wanna check a website, I highly recommend heavens-above. The daily predictions for brighter satellites page on there is also great for seeing what will fly over on any given night (and the path across the star maps are accurate to help spot satellites!)

Lmao that scope is backwards

Username checks out

That stripe might be some glare/light leak. Does it show up in any of your calibration frame stacks if you crank up the contrast on those?

Any processing done to this?

Cocaine Bear sequel gonna be amazing

Always love seeing that IFN dust around them

My last go at this nebula was back in late 2019, and I think I've gotten a little better since then (equipment is the same across both photos). The nebula in this pic is false color (SHO/Hubble palette), but the stars are true color RGB. Captured over a bunch of nights from January-April 2025, from a bortle 9 zone.

Places where I host my other images:

Flickr | Pixelfed

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: 70 hours 5 minutes (Camera at -15°C), unity gain

• Ha - 123x600"

• Oiii - 147x600"

• Sii - 135x600"

• R - 53x60"

• G - 51x60"

• B - 51x60"

• 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 Ha and Sii images to nonlinear

Broadband/RGB linear:

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

• SpectrophotometricColorCalibration

• HSV repair to fix blown out star cores

• StarX (correct only)

• StarX to make a stars only image

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

• SCNR > Invert > SCNR (50%) > Invert to remove greens and some magentas from stars

• Slight saturation boost

Nonlinear:

• ChannelCombination to combine stretched narrowband images into color image (SHO --> RGB)

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

• LRGBCombination with stretched Ha as luminance

• ColorSaturation

• NoiseXterminator

• LocalHistogramEqualization

• Clone stamp to remove a couple highly saturated star spots that starx didn't remove (they looked incredibly out of place)

• 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))

• DynamicCrop again

• Resample to 60%

• Annotation