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The generation of random directions is essential for the Monte Carlo based calculation of particle transport. It is difficult to find instructions for the generation of random directions which obey a certain angular distribution, except for uniform spherical [92] or cosine distributions [37]. Therefore, recipes for the generation of variate distributions used in this work are given in the following discussion.
The arrival directions of particles at the source plane
and the directions of reemitted particles are usually described by probability densities
, which only depend on the polar angle
relative to a certain direction
with |
(5.33) |
Using spherical coordinates with respect to
the probability density function can be formulated as
 |
(5.34) |
Since this expression is separable, the azimuthal angle
and the polar angle
are independent, which allows for the description of both variables by individual probability densities
and
The probability density function
is constant, which is a direct consequence of the rotational symmetry of the directional distribution. Therefore, since the azimuthal angle is uniformly distributed on
, a random choice of
is trivial. Picking a random polar angle is more sophisticated. In the following sections algorithms are presented for selecting a polar angle according to directional distributions which are frequently used for the description of arrival or reemission angles.
Subsections
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Otmar Ertl: Numerical Methods for Topography Simulation