How Cosmological Supercomputers Evolve the Universe All Over Again
the_newsbeagle writes "To study the mysterious phenomena of dark matter and dark energy, astronomers are turning to supercomputers that can simulate the entire evolution of the universe. One such simulation, the Bolshoi projection, recently did a complete run-through. It started with the state the universe was in around 13.7 billion years ago (not long after the Big Bang) and modeled the evolution of dark matter and energy up to the present day. The run used 14,000 CPUs on NASA's fastest supercomputer."
How long will it be until we can build a supercomputer that can span the Universe and if the Universe suffers a heat death it could just remake the whole Universe as it stored the state of everything within? Therefore humanity could survive even the end of the whole Universe in 100,000,000,000,000 years time. The short story the Last Question made quite an impression on me and surely with the current evolution in technology we could create a God computer eventually that would exist outside of anything we could comprehend. That would be mind-blowing.
liberare massarum ex ignorantia, clausa descendit molestie.
It started with the state the universe was in around 13.7 billion years ago (not long after the Big Bang) and modeled the evolution of dark matter and energy up to the present day.
so... what happened when it reached the simulation of the simulation, and then eventually the simulation of the simulation of the simulation? I've long been told that it's turtles all the way down, but I'd like to see a citation.
The Admin and the Engineer
...astronomers are turning to supercomputers that can simulate the entire evolution of the universe.
I'm thinking the intent here is to mean this qualified "up to a certain point in time", as I'm pretty sure that to say this as a general, even theoretical, possibility is a Godelian-type logical impossibility. Since the supercomputers would be part of the universe you are simulating, you have to simulate the simulation of the supercomputer, which requires simulating the simulation of the computer simulating the computer... ad infinitum.
But then again, I may be wrong. Best simulate my thought processes to be sure.
~ Whence do you come, slayer of men, or where are you going, conqueror of space?
Have gnu, will travel.
Mitt Obamney: He taxes the rich to pay for birth certificate forgeries and dog racks on top of all GM cars. He told the UK Olympians that their skeet shooters are bitter gun clingers.
Table-ized A.I.
First off, "entire evolution of the universe" should obviously be qualified with "on cosmological scales", unless they've built the matrix. That said, how big is the domain? Is it just set to match the observable universe? 2048 grid points across the entire universe (or just the observable universe) seems rather... low-res. The TFA mentions an adaptive grid, but fails to mention what factor that can increase the local resolution by.
Also, how exactly do we model dark matter when we don't really know WTF it is beyond the fact that it has gravitational mass? Does it work because gravitational effects are the only thing that really matters on cosmological scales?
I must say I like the use of periodic boundary conditions, though, simply because it makes their simulated universe conform to the Modest Mouse lyric "The universe is shaped exactly like the earth, if you go straight long enough you end up where you were".
We all did, in at least one variant. My avatar slipped on Marilyn Monroe's used tampon in a grassy knoll, setting off a guard's gun. Sorry 'bout that.
Table-ized A.I.
Scientists build the ultimate computer. The first thing they ask it is, "is there a god?". The computer answers "there is now!"
It appears that the model reproduces some large scale statistical properties of the universe with reasonable accuracy. That seems reasonable. It's a far cry from being able to say "the model reproduced the Milky Way", but the statistical information by itself could very well be useful as a tool for developing new hypotheses. Of course, if the model is all wrong those hypotheses will be useless, but let's see what they can do with the data before we make that conclusion.
There has been no perturbation testing of the model. It does not seem that they did any runs that were intended to produce a result that did not match observations. They have no idea what range of input or modeling change produce a result that matches observations.
The greatest utility of these simulations is when they don't match observations. This opens the possibility that the current ideas are incorrect, and that new ideas are needed.
I also wonder about scaling issues. The three simulations at different scales are unconnected. There is no way to see how events at one scale effect events at other scales.
The author also said one specific thing that bothered me:
I am not a physicist or cosmologist, but that seems to be a huge assumption. We have no idea what dark energy or dark matter are, but they can be modeled by "simple linear equations."
I know that the shear cost and complexity of these computational experiments means that they are hard to accomplish. Even so, I will be less skeptical about their value when they are done in ways that test how the simulations fail, as well as how they verify current ideas.
Why is Snark Required?
As centuries of relying on Newtonian physics demonstrate:
It doesn't need to be accurate. It just needs to be close enough when looking at the parts you're interested in.
Nobody claims to be simulating a universe down to the sub-atomic level. They are just claiming that: the best they can simulate their own ideas of how it formed correlate with roughly what we see when we peek at the sky.
It's like saying that there's no point in simulating a rocket launch if you can't model every atom. There is. And it saves us a lot of work and tells us when something is (probably) wrong with our design.
Newtonian physics was THE most accurate method for centuries, correlated to millions of independent experiments to be correct. The fact that it's nowhere NEAR the full story of how things operate is neither here nor there, and we still teach it in schools because it's still accurate ENOUGH.