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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:

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