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Change SpatialIndependent to CartesianIndependent
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5 changed files with 17 additions and 17 deletions
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@ -449,11 +449,11 @@ attributes/sub-elements:
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:type:
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The type of spatial distribution. Valid options are "box", "fission",
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"point", and "independent". A "box" spatial distribution has coordinates
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"point", and "cartesian". A "box" spatial distribution has coordinates
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sampled uniformly in a parallelepiped. A "fission" spatial distribution
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samples locations from a "box" distribution but only locations in
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fissionable materials are accepted. A "point" spatial distribution has
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coordinates specified by a triplet. An "independent" spatial distribution
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coordinates specified by a triplet. An "cartesian" spatial distribution
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specifies independent distributions of x-, y-, and z-coordinates.
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*Default*: None
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@ -469,25 +469,25 @@ attributes/sub-elements:
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three real numbers which specify the (x,y,z) location of an isotropic
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point source.
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For an "independent" distribution, no parameters are specified. Instead,
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For an "cartesian" distribution, no parameters are specified. Instead,
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the ``x``, ``y``, and ``z`` elements must be specified.
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*Default*: None
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:x:
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For an "independent" distribution, this element specifies the distribution
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For an "cartesian" distribution, this element specifies the distribution
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of x-coordinates. The necessary sub-elements/attributes are those of a
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univariate probability distribution (see the description in
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:ref:`univariate`).
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:y:
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For an "independent" distribution, this element specifies the distribution
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For an "cartesian" distribution, this element specifies the distribution
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of y-coordinates. The necessary sub-elements/attributes are those of a
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univariate probability distribution (see the description in
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:ref:`univariate`).
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:z:
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For an "independent" distribution, this element specifies the distribution
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For an "cartesian" distribution, this element specifies the distribution
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of z-coordinates. The necessary sub-elements/attributes are those of a
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univariate probability distribution (see the description in
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:ref:`univariate`).
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