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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@98 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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All tests pass
git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@93 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@87 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@86 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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Implements a more accurate integration over the sphere using an
algorithm by Driscoll & Healy. This algorithm uses Gaussian
integration weights, leading (almost) to exponential convergence.
git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@83 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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Previously a "first_time" variable was used to determine if truncation should happen. When decomposing multiple variables, this logic is incorrect. We now store the first_time information per output file.
git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@76 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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One HDF5 file per variable, and one extensible dataset per radius per mode. HDF5 is required only optionally, so this thorn can be compiled without it.
git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@74 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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CCTK_ParameterGet
git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@73 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@72 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@55 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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git-svn-id: http://svn.einsteintoolkit.org/cactus/EinsteinAnalysis/Multipole/trunk@53 4f5cb9a8-4dd8-4c2d-9bbd-173fa4467843
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