An Eulerian PPM & PIC Code for Cosmological Hydrodynamics

Astronomy and Astrophysics – Astrophysics

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

43 pages (including 18 figures), LaTeX type, mpeg simulations available at http://www.damtp.cam.ac.uk/user/ats25/, submitted A

Scientific paper

We present a method for integrating the cosmological hydrodynamical equations including a collisionless dark matter component. For modelling the baryonic matter component, we use the Piecewise Parabolic Method (PPM) which is a high-accuracy shock capturing technique. The dark matter component is modeled using gravitationally interacting particles whose evolution is determined using standard particle-in-cell techniques. We discuss details of the inclusion of gravity and expansion in the PPM code and give results of a number of tests of the code. This code has been developed for a massively parallel, SIMD supercomputer: the MasPar MP-2 parallel processor. We present details of the techniques we have used to implement the code for this architecture and discuss performance of the code on the MP-2. The code processes $5.0 \times 10^4$ grid zones per second and requires 53 seconds of machine time for a single timestep in a $128^3$ simulation.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

An Eulerian PPM & PIC Code for Cosmological Hydrodynamics does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with An Eulerian PPM & PIC Code for Cosmological Hydrodynamics, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and An Eulerian PPM & PIC Code for Cosmological Hydrodynamics will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-276881

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.