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Add example of conical angular distribution

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Paul Romano 2020-04-13 14:32:01 -05:00
parent 767d65bddf
commit 3e4fc5877b
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docs/source/usersguide/settings.rst
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@ -110,13 +110,24 @@ The spatial distribution can be set equal to a sub-class of
:class:`openmc.stats.Spatial`; common choices are :class:`openmc.stats.Point` or
:class:`openmc.stats.Box`. To independently specify distributions in the
:math:`x`, :math:`y`, and :math:`z` coordinates, you can use
:class:`openmc.stats.CartesianIndependent`.
:class:`openmc.stats.CartesianIndependent`. To independently specify
distributions using spherical or cylindrical coordinates, you can use
:class:`openmc.stats.SphericalIndependent` or
:class:`openmc.stats.CylindricalIndependent`, respectively.
The angular distribution can be set equal to a sub-class of
:class:`openmc.stats.UnitSphere` such as :class:`openmc.stats.Isotropic`,
:class:`openmc.stats.Monodirectional`, or
:class:`openmc.stats.PolarAzimuthal`. By default, if no angular distribution is
specified, an isotropic angular distribution is used.
:class:`openmc.stats.Monodirectional`, or :class:`openmc.stats.PolarAzimuthal`.
By default, if no angular distribution is specified, an isotropic angular
distribution is used. As an example of a non-trivial angular distribution, the
following code would create a conical distribution with an aperture of 30
degrees pointed in the positive x direction::
from math import pi, cos
aperture = 30.0
mu = openmc.stats.Uniform(cos(aperture/2), 1.0)
phi = openmc.stats.Uniform(0.0, 2*pi)
angle = openmc.stats.PolarAzimuthal(mu, phi, reference_uvw=(1., 0., 0.))
The energy distribution can be set equal to any univariate probability
distribution. This could be a probability mass function