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Last week we discussed collisional and noncollisional matter,
such as may be found in galaxy clusters, and the basic principles
for studying these entities numerically. This week, we take a
more in-depth look at specific computational methods for
examining collisional matter.
The PPM is a finite-volume technique which allows for fine-structure simulation via the use of a grid. The variables associated with each grid point are updated using the four nearest grid points in each spatial direction. This method has been successfully parallelized, with good speedup achieved. A drawback, however, is that adaptive gridding must be used if PPM is to be employed across length scales (near the shock front and removed from it). For more discussion on PPM, check out any of these web sites: http://flash.uchicago.edu/~ricker/resear... Smoothed Particle Hydrodynamics (SPH), on the other hand, is capable of accommodating a wide range of length scales. Particles vary in size and pressure depending on the localized density of the system, automatically allowing different concentrations of matter to exist simultaneously in the same system. On the downside, SPH cannot handle shock waves very well because the particle mass is limited in this scheme. To read more about this method, see http://flash.uchicago.edu/~ricker/resear... Next week, we'll investigate methods for simulating systems of collisionless matter. Go To Page: 1
The copyright of the article Methods for Simulating Collisional Matter in Scientific Computing is owned by Adam Hughes. Permission to republish Methods for Simulating Collisional Matter in print or online must be granted by the author in writing.
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