Sedna

Ah, sorry about that, didn't realize they were JPEGs. Okay, how about trying here instead. If you scroll down to Pluto Encounter, everything under LORRI (New Horizon's high focal length black and white camera) and MVIC (the low focal length color camera) should be relevant. Please let me know if you need any more assistance!

Sure--the raw data is all here and images already processed by NASA are here. @michael.h.f.wilkinson, if you need anymore help, happy to assist!

No date--whenever it happens, I'll be thrilled

Ah, that sounds like a great idea! If you assign it to them, would you post the best projects here (with their permission)?

When New Horizons flew by Pluto and Charon in 2015, each body had one hemisphere that was never mapped at higher resolution than what we see in the images below. Because Pluto and Charon rotate relatively slowly (6.4 days), only one hemisphere of each was facing New Horizons during its closest approach. Will we ever see the other face of Pluto (or Charon) mapped in high resolution? The face of Pluto that was mapped in low-resolution is the hemisphere that is tidally locked with (permanently facing) Charon. From New Horizons low resolution imagery, we see that it is very different from the hemisphere with the "heart" (giant glacier) that was mapped in high resolution (see below). Unlike that hemisphere, the Charon-facing hemisphere features strange "brass knuckle" spots and mysterious dark swirls ... It's a shame we might never see this hemisphere in high resolution. However, for artistic purposes, machine learning might offer a solution. You might already know that machine learning can be used to "colorize" black and white photos by learning which colors go with which patterns (you can try this with any black and white here and read more about it here). Similarly, machine learning can take crude drawings of faces and turn them into high resolution "paintings" by learning which high spatial frequency textures and colors are often paired with which low spatial frequency patterns in the drawing (you can read about this here). Based on the same principle, a machine learning algorithm could likely learn which high spatial frequencies are statistically more likely to pair with low spatial frequencies in high resolution images of Pluto from New Horizons. After being trained on these images from Pluto's high res hemisphere, the machine learning algorithm could then do some guess work and apply high frequency textures to the low resolution images (currently containing only low frequency textures) of the Charon-facing hemisphere. The result should give us some beautiful guesswork: images of hitherto unseen craters, canyons, and ice dunes on the "far side" of Pluto. Of course, these images would be only that--a guess. But they might be convincing enough to quench our thirst for what New Horizons could never provide while exceeding the quality of the best space art. At this point, you might be hoping to see what a neural network could dream up for Pluto. Sadly, I lack the technical proficiency to implement this myself. So I'm hoping that some of you could help me (and everyone who'd like to see this) implement this project using machine learning. All you programmers, image processors, and data scientists out there--am I way off or is this doable? If the latter, would someone like to stand up and seize the glory? If you're interested in this project, please reply here or private message me. Thank you!

Thanks James! How much of a showstopper is the issue with saving SER files? I imagine I would want to save mine as AVI, in which case it shouldn't matter?

Yep, I also asked on there. As to why they never updated it, go figure.

Ok, got it, stay clear of the x5 Thanks all!

Thanks for the link. Is ASI224MC a color camera or monochrome? I am super confused because there is conflicting info in the description on Amazon. The product title says color and info at the top says color camera, but further down the page it says monochrome?!

This would be for planetary imaging. I already have 32 mm, 25 mm, 17 mm, 13 mm, 8 mm, and 6 mm eyepieces.

I have a Celestron 8SE (8" SCT) and am wondering what the strongest practical Barlow lens is that can be used with my scope? I already have a 2x but recently saw a 5x on Amazon and wondered if this is worth buying? Or is it too powerful? Thanks!

Thanks, I think you forgot the link though...

Thank you James, that would be great if you could try it for me!

I have a Celestron 8SE with EQ mount, and I'm looking to buy a dedicated planetary imaging camera. I already use a Canon 70D for imaging, which can record 60 fps compressed video. I'd like to improve on this with a dedicated camera that can record raw video at a higher frame rate. I also have Mac OSX, which seems to be a huge thorn in the side of all imagers. Yes, I have bootcamp Windows installed on a partition, but with only 32 GB of HD space allocated. I'm not sure if this will work for video capture with a planetary camera. Right now, I have my eye on the ZWO Asi224mc camera, but I have a few questions, if someone on here is kind enough to answer them for me 1) Does the ZWO Asi224mc work well with Mac OSX? I know that it is technically compatible with Mac, but does anyone know if it really runs smoothly on Mac? I also know that Orion sells a planetary imaging camera that definitely runs on Mac, but its max framerate is only 51 fps?! (So my Canon 70D could easily outperform this at 60 fps). 2) How much improvement can I expect from the Asi224mc over my Canon 70D? I have included a few of my best images shot using the Canon 70D below for reference (stacked in AS!2 and sharped in RegiStax). I believe the main advantages are that the Asi224mc shoots at a higher frame rate and in raw, but the Canon has 20 megapixels versus 1.2 megapixels for the Asi224mc. Thanks all!

Can't do, also my wife's camera.