B
ELSEVIER Nuclear Instruments and Methods in Physics Research B 134 (1998) 1-12
A study of primary electron charge deposition near the surface of a
target by Monte Carlo simulation
Valentin Lazurik, Vadirn Moskvin *
Radiation Physics Laboratory, Kharkov State University, P.O. Box 60, 310052 Kharkov, Ukraine
Received 16 July 1996; received in revised form 15 September 1997
Abstract
The Method of Trajectory Rotation [V. Lazurik, V. Moskvin, Nucl. Instr. and Meth. B 108 (1996) 276] is modified to
compute the charge deposition density and the yield of an electron spectrum at given depths of targets irradiated by
electron beams. Primary electron charge deposition near the boundaries of finite targets is studied. It is found that
the depth-profiles of the primary electron charge deposition have a drastic nonlinear decrease near the target vacuum
interface. The theoretical description of the charge deposition near the inhomogeneity in a target is discussed. The elec-
tion of model parameters, i.e., the cutoff energy and the depth bin width, for accurate computer simulation with the use
of the conventional Monte Carlo techniques is considered. © 1998 Published by Elsevier Science B.V.
PACS: 78.70.-g; 34.50.Bw; 87.53.Fs; 81.40.Wx
Keywords: Electron transport; Computer simulation; Monte Carlo techniques; Primary electrons; Charge deposition;
Stochastic wandering; Target-vacuum interface; Boundary effect; Electron spectrum
1. Introduction
Data on quantities describing the action of fast
electrons on materials are necessary for the analy-
sis of the electrophysical processes in objects irra-
diated by electron beams. The energy and charge
deposition density are the fundamental quantities
used in such analysis.
At present, the computer simulation of electron
transport with the use of Monte Carlo techniques
*Corresponding author.
0168-583X/98/$19.00 © 1998 Published by Elsevier Science B.V. All
PIISO168- 58 3X(97)O0510-7
is the basic method of obtaining these data. The
general purpose Monte Carlo codes, such as ITS
[1], GEANT [2] and EGS [3], are widely used in
practice. What all these codes have in common is
that the transport of electrons is simulated for a re-
gion of their energies from an initial energy/:~ to a
given cutoff energy gmin. It is assumed that elec-
trons deposit their charge at the end of their
tracks. Tracing the trajectories of electrons until
the energy Emin is connected with the limits of va-
lidity of the physical models used in computation.
Thus the cutoff energy is a model parameter that
defines an accuracy of simulation. Notice that
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