Re: Galactic pancake mystery solved
- From: Chris L Peterson <clp@xxxxxxxxxxxxxxxxxx>
- Date: Fri, 08 Apr 2005 16:01:44 GMT
On Fri, 08 Apr 2005 09:39:48 -0600, Tim Killian <TJK@xxxxxxxxxxxxxxxxxx>
wrote:
>That said, I'm bothered by the increasing use of computer of simulations
>that are visually appealing (I liken them to video games), but lack any
>depth in their underlying structure.
That is certainly an invalid generalization. Our models only improve
with time. Models now being used for studying the climate are very
sophisticated, and in some cases are genuinely matching reality down to
the level of local weather. Many astrophysical models are similarly
sophisticated, showing very close correlation with observations.
> I recently did some work at a small
>university wind tunnel and had a chance to talk to its director. Even
>though it was a modern, well instrumented facility, he was concerned
>that the tunnel would eventually be closed because students and most
>faculty preferred simulations and computer models to the relative
>drudgery associated with actual physical measurements. There is no doubt
>that the computer modeling is less expensive than making physical
>measurements, but are the students learning as much? Do they have a true
>understanding of the code running on the super computer, or are they
>simply awed by the machine? When they go out in the world are they going
>to have the depth of understanding to make meaningful contributions?
Not if they are badly educated. But things like wind tunnels _are_
increasingly obsolete because the computers can do a better job and can
deal with parameters that are almost impossible to measure. If the
students walk away awed by the machine and not understanding the
workings of the simulation, they have been cheated by their teachers,
not by the experimental methods.
The real value of simulations, however, is in areas like cosmology where
no direct measurement can ever be possible. You design a model, you set
it up with what observed data you can, and you make assumptions about
what you don't know. You let the simulation run, and if the end result
matches your observations, you have faith in both the model and in your
assumptions. This is nothing but good, solid scientific method. This
model that predicts the distribution of local galaxies is a good
example. The model simulates known physical processes. It assumes a
distribution of cold dark matter. And what comes out precisely matches
our observations. This is good science. It is these kinds of
experiments, using very different approaches, that are increasingly
convincing people that dark matter is a reality.
_________________________________________________
Chris L Peterson
Cloudbait Observatory
http://www.cloudbait.com
.
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