PENELOPE 2003 - OECD Nuclear Energy Agency
PENELOPE 2003 - OECD Nuclear Energy Agency
PENELOPE 2003 - OECD Nuclear Energy Agency
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44 Chapter 2. Photon interactions<br />
hydrogenic electron wave functions. The Sauter DCS (per electron) can be written as<br />
( )<br />
dσ ph Z 5<br />
= α 4 re 2 β 3 sin 2 [<br />
θ e<br />
1 + 1 ]<br />
dΩ e κ γ (1 − β cos θ e ) 4 2 γ(γ − 1)(γ − 2)(1 − β cos θ e) , (2.24)<br />
where α is the fine-structure constant, r e is the classical electron radius, and<br />
√<br />
E<br />
γ = 1 + E e /(m e c 2 e (E e + 2m e c 2 )<br />
), β =<br />
. (2.25)<br />
E e + m e c 2<br />
Strictly speaking, the DCS (2.24) is adequate only for ionization of the K-shell by highenergy<br />
photons. Nevertheless, in many practical simulations no appreciable errors are<br />
introduced when Sauter’s distribution is used to describe any photoionization event,<br />
irrespective of the atomic shell and the photon energy. The main reason is that the<br />
emitted photoelectron immediately starts to interact with the medium, and its direction<br />
of movement is strongly altered after travelling a path length much shorter than the<br />
photon mean free path. On the other hand, when the photon energy exceeds the K-<br />
edge, most of the ionizations occur in the K-shell and then the Sauter distribution<br />
represents a good approximation.<br />
Introducing the variable ν = 1 − cos θ e , the angular distribution of photoelectrons<br />
can be expressed in the form<br />
[<br />
1<br />
p(ν) = (2 − ν)<br />
A + ν + 1 ]<br />
2 βγ(γ − 1)(γ − 2) ν<br />
(A + ν) , A = 1 − 1, (2.26)<br />
3 β<br />
apart from a normalization constant. Random sampling of ν from this distribution can<br />
be performed analytically. To this end, p(ν) can be factorized in the form<br />
with<br />
and<br />
p(ν) = g(ν)π(ν) (2.27)<br />
[<br />
1<br />
g(ν) = (2 − ν)<br />
A + ν + 1 ]<br />
2 βγ(γ − 1)(γ − 2)<br />
π(ν) =<br />
A(A + 2)2<br />
2<br />
(2.28)<br />
ν<br />
(A + ν) 3 . (2.29)<br />
The variable ν takes values in the interval (0,2), where the function g(ν) is definite<br />
positive and attains its maximum value at ν = 0, while the function π(ν) is positive<br />
and normalized to unity. Random values from the probability distribution π(ν) are<br />
generated by means of the sampling formula (inverse transform method, see section<br />
1.2.2) ∫ ν<br />
π(ν ′ ) dν ′ = ξ, (2.30)<br />
which can be solved analytically to give<br />
ν =<br />
0<br />
2A<br />
(A + 2) 2 − 4ξ<br />
[<br />
2ξ + (A + 2)ξ<br />
1/2 ] . (2.31)<br />
Therefore, random sampling from Sauter’s distribution can be performed by the rejection<br />
method (see section 1.2.4) as follows: