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Astronomy Fun Fact:

Over the past 3 decades we have seen an incredible increase in computing power. Astrophysicists and other scientists now have the ability to run staggeringly complex simulations on today's supernumbercruncher computers. As they add data and variables, the need for speed becomes obvious. One supercomputer being built for genetic research ("Blue Gene") is to be rated at 100 teraflops (100 trillion floating point operations per second)!

1 posted on 09/27/2002 5:47:52 AM PDT by petuniasevan
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To: MozartLover; Joan912; NovemberCharlie; snowfox; Dawgsquat; viligantcitizen; theDentist; grlfrnd; ...

2 posted on 09/27/2002 5:48:47 AM PDT by petuniasevan
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To: petuniasevan; sleavelessinseattle
I gotta get one of these ... &;-)


3 posted on 09/27/2002 6:35:37 AM PDT by 2Trievers
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To: petuniasevan
These new computers are something! Good job APOD!
6 posted on 09/27/2002 7:43:13 AM PDT by BossyRoofer
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To: petuniasevan
Really nice, thanks !!
7 posted on 09/27/2002 9:05:51 AM PDT by MeekOneGOP
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To: petuniasevan
This points out something concerning Global Warming. Or I think it does. Computer simulatons have gotten horrendously complex as computer power has increased. Now here is a model of an accretion disk. This kind of number crunching is done for any number of science problems, the structure of the Milky Way, of the universe itself. But most of them use an abstract data set and don't try to model our galaxy in fact, actual star by actual star. They will get something at the end of the run that has the same overal characteristics as our galaxy, but it isn't our galaxy in particular.

What about Global Warming? It's the same bujt even more complex. On top of that they are attempting to model a real system, not just a general abstract planet similar to earth. Their model is doomed to be nothing more than an approximation forever. The second order components in fluid dynamics have been known from basic newtonian physics for hundreds of years. These components are what they plug into their climate model. Then complicate matters by having different limits in different regions of the space. Then use up precious CPU time by having smaller and smaller regions, millions of regions, each different in some way. Right there you have diverged from reality because you don't have all the measurements for each cell and have to make assumptions.

Computational complexity might be a hindrance for an accretion disk model, but for a climate model upon which to base public decisions, the situation is beyond hope.

9 posted on 09/27/2002 12:19:36 PM PDT by RightWhale
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