This is maybe not the place, but we did some apples to apples comparisons between PyMC, Dynesty, and the Julia Turing.jl package.
A little to my surprise, despite being a Julia fan, Turing really outperformed both the Python solutions.
I think JAX should be competitive in raw speed, so it might come down to the maturity of the samplers we used.
I visited the Large binocular telescope just a month or two ago. A very impressive facility, and one can only imagine the image quality if they were captured using both mirrors coherently.
My understanding is that the AO system for GMT is going to pose quite a challenge. A big topic of ongoing research is dealing with “petaling” where the separate primary mirrors in phase due to the atmosphere.
For combining the projects, it does seem like that may be the only option funding wise, but it’s hard to imagine what the resulting observatory would look like. Maybe it would have to be a completely new design?
There’s a bit more to it than that. GMT is further along but its design has many compromises versus TMT. Also, a second ELT in the southern hemisphere is less useful than one in both Hemispheres.
The situation for TMT on Maunakea is definitely tricky, but it’s also a better site than either of GMT’s or EELTs.
Worth mentioning that essentially all professional astronomers / astrophysicists consider this person a grifter.
It’s amazing that he keeps getting so much press though, would love to learn his secret.
I’m using this from Julia and both the user and developer experience is great.
It’s much more limited than publication style plotting libraries but the instant 60fps reactivity is amazing.
Coming from matplotlib, I found Makie such a breath of fresh air. The API is just as (if not more) flexible but way more predictable. Their layout system in particular is amazing. I think it bundles it's own constraint engine?
Congrats on the new website!
PS. Thanks to the Makie team for the shoutout to my corner plot package in the ecosystem section!
As has been pointed out elsewhere, this is the first image of our galaxy in something other than light (radio, infrared, x rays, gamma rays are all photons).
Would you mind explaining this further? Since sound is literally pressure waves, I don't understand how reducing sound can still leave "sound pressure".
A little to my surprise, despite being a Julia fan, Turing really outperformed both the Python solutions. I think JAX should be competitive in raw speed, so it might come down to the maturity of the samplers we used.