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| \begin{align} | | \begin{align} |
| I_d(q_{z}) | | I_d(q_{z}) |
− | & = [ T_i^2T_f^2 + R_i^2 + R_f^2 ] I_{Tc}(q_z) + [ T_i^2 R_f^2 + R_i^2 + T_f^2 ] I_{Rc}(q_z) \\ | + | & = [ | T_i T_f|^2 + |R_i R_f|^2 ] I_{Tc}(q_z) + [ |T_i R_f|^2 + |R_i T_f|^2 ] I_{Rc}(q_z) \\ |
| & = |Tc|^2 I_{Tc}(q_z) + |Rc|^2 I_{Rc}(q_z) \\ | | & = |Tc|^2 I_{Tc}(q_z) + |Rc|^2 I_{Rc}(q_z) \\ |
| \end{align} | | \end{align} |
Revision as of 18:28, 12 March 2018
DWBA Equation in thin film
Using the notation
for compactness, the DWBA equation inside a thin film can be written:
Expansion
Terms
If one expands the
of the DWBA, one obtains 16 terms:
Equation
The equation can thus be expanded as:
Simplification
We can rearrange to:
We can rewrite in a more compact form using the notation
and
:
Breaking into components
The experimental data
can be broken into contributions from the transmitted channel
and reflected channel
:
We define the ratio between the channels to be:
Such that one can compute the two components from:
and: