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PENELOPE 2003 - OECD Nuclear Energy Agency

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98 Chapter 3. Electron and positron interactions<br />

and<br />

[<br />

f (+) (γ) = 2 ln 2 − β2<br />

23 + 14<br />

]<br />

12 γ + 1 + 10<br />

(γ + 1) + 4<br />

2 (γ + 1) 3<br />

(3.105)<br />

for electrons and positrons, respectively. This formula can be derived from very general<br />

arguments that do not require knowing the fine details of the GOS; the only information<br />

needed is contained in the Bethe sum rule (3.45) and in the definition (3.46) of the mean<br />

excitation energy (see e.g. Fano, 1963). Since our approximate analytical GOS model is<br />

physically motivated, it satisfies the sum rule and reproduces the adopted value of the<br />

mean ionization energy, it yields (at high energies) the exact Bethe formula.<br />

It is striking that the “asymptotic” Bethe formula is in fact valid down to fairly small<br />

energies, of the order of 10 keV for high-Z materials (see fig. 3.10). It also accounts<br />

for the differences between the stopping powers of electrons and positrons (to the same<br />

degree as our GOS model approximation).<br />

For ultrarelativistic projectiles, for which the approximation (3.64) holds, the Bethe<br />

formula simplifies to<br />

{ ( )<br />

}<br />

S in ≃ N 2πe4 E<br />

2<br />

γ + 1<br />

m e v 2Z ln<br />

+ f (±) (γ) + 1 . (3.106)<br />

2γ 2<br />

Ω 2 p<br />

The mean excitation energy I has disappeared from this formula, showing that at<br />

very high energies the stopping power depends only on the electron density N Z of<br />

the medium.<br />

3.2.5 Simulation of hard inelastic collisions<br />

The DCSs given by expressions (3.76)-(3.79) permit the random sampling of the energy<br />

loss W and the angular deflection θ by using purely analytical methods. In the following<br />

we consider the case of mixed (class II) simulation, in which only hard collisions, with<br />

energy loss larger than a specified cutoff value W cc , are simulated (see chapter 4). As<br />

the value of the cutoff energy loss can be selected arbitrarily, the sampling algorithm<br />

can also be used in detailed (interaction-by-interaction) simulations (W cc = 0).<br />

The first stage of the simulation is the selection of the active oscillator, for which we<br />

need to know the restricted total cross section,<br />

σ(W cc ) ≡<br />

= ∑ k<br />

∫ Wmax<br />

W cc<br />

dσ in<br />

dW dW = σ dis,l(W cc ) + σ dis,t (W cc ) + σ clo (W cc )<br />

σ k (W cc ), (3.107)<br />

as well as the contribution of each oscillator, σ k (W cc ). The active oscillator is sampled<br />

from the point probabilities p k = σ k (W cc )/σ(W cc ). Since these probabilities are calculated<br />

analytically, the sampling algorithm is relatively slow. In mixed simulations, the<br />

algorithm can be sped up by using a larger cutoff energy loss W cc , which eliminates all<br />

the oscillators with W k < W cc from the sum.

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