Data Visualization with DV and xvs
DV (DataVault) and xvs are freely available visualization packages,
written by
Matthew W. Choptuik.
DV is a powerful visualization and data analysis package for
numerical codes that solve partial differential equations via grid-based
methods, in particular those utilizing adaptive mesh refinement (AMR) and/or
running in a parallel environment.
DV provides a comprehensive set of built-in functions to analyze 1D, 2D, and 3D
time-dependent datasets, eg.
- simple arithmetics
- duplicating and merging datasets
- filtering/masking
- differentiation
xvs is a visualization tool for analyzing, among other things, the output of
time-dependent PDEs in one spatial dimension (or time dependent cuts of
higher-d solutions).
Since DV and xvs use the OpenGL graphics library, they can take full advantage
of the prodigious hardware of modern PC graphics cards. The OpenGL model also
provides fast and intuitive, mouse-based rotation and zooming of rendered
images.
For general information on scientific data visualization using DV and xvs
please refer to the
DV tutorial and the
xvs
documentation. Download and installation instructions for DV and xvs
can be found
here.
Also check out the UBC Physics & Astronomy Theory/Numerical Relativity
Software and
Related page.
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