Transfer matrix method for plasmonics
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SCIUSCIA
le 17 Oct 2021
Réponse apportée : Vidhi Agarwal
le 25 Sep 2024
I run the shared the jreftran.m which has been designed for two layers:
delta=1i*g.*d.*ct;
M=zeros(2,2,length(d));
for j=1:length(d)
M(1,1,j)=cos(delta(j));
M(1,2,j)=1i./eta(j).*sin(delta(j));
M(2,1,j)=1i*eta(j).*sin(delta(j));
M(2,2,j)=cos(delta(j));
end
M_t=[1,0;0,1]; %M total
for j=2:(length(d)-1)
M_t=M_t*M(:,:,j);
end
But I intend to move to three or more layers using the same matrix method.
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Vidhi Agarwal
le 25 Sep 2024
Hi @SCIUSCIA
By multiplying the matrices corresponding to each layer, you can adapt the code to handle three or more levels by iterating over all layers using the matrix approach. Making sure that the matrix multiplication accurately adds up each layer's impact on the overall transfer matrix is crucial.
The modified code for three or more layers with matrix multiplication will be:
delta = 1i * g .* d .* ct;
num_layers = length(d);
% Initialize the layer matrices
M = zeros(2, 2, num_layers);
% Compute the matrix for each layer
for j = 1:num_layers
M(1, 1, j) = cos(delta(j));
M(1, 2, j) = 1i / eta(j) * sin(delta(j));
M(2, 1, j) = 1i * eta(j) * sin(delta(j));
M(2, 2, j) = cos(delta(j));
end
% Initialize the total matrix as the identity matrix
M_t = eye(2);
% Multiply the matrices for all layers
for j = 1:num_layers
M_t = M_t * M(:, :, j);
end
% Now M_t is the total transfer matrix for the entire stack of layers
Hope that Helps!
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