file naming for WDM simulation

projects/WDM/getDispersionVector.m

@@ -0,0 +1,32 @@
+function dispersion_vector = getDispersionVector(N, D, ref_zdw, randomize_ZDW, randomkey)
+% s.MATLAB version of the Python generator shown above.
+% Returns an N×1 vector (ps/(nm·km)).
+%
+% D is the nominal dispersion magnitude. For D>0 the link is segmented with
+% alternating sign (+D, -D, +D, …). For D==0 it is flat (0) except for
+% ZDW randomization. The ZDW detuning is ~N(0, 2 nm) around 1310 nm and is
+% converted to dispersion via 0.09 ps/(nm·km) per nm.
+
+    % constants (matching the Python code)
+    meanLambda_nm = 1310;        % center wavelength
+    sigma_nm      = 2;           % ZDW sigma
+    Dslope        = 0.07;        % ps/(nm·km) per nm detuning
+
+    % random ZDW-induced dispersion offset
+    if randomize_ZDW
+        rng(randomkey, 'twister');
+        rand_zdws_nm = meanLambda_nm + sigma_nm .* randn(N,1);
+        rand_D = (rand_zdws_nm - ref_zdw) .* Dslope;   % ps/(nm·km)
+    else
+        rand_D = zeros(N,1);
+    end
+
+    % nominal segmented pattern (match Python intent; keep length N)
+    if D > 0
+        base = (-1) .^ ((0:N-1).');   % +1,-1,+1,-1,...
+    else % D == 0 (or anything else)
+        base = ones(N,1);
+    end
+
+    dispersion_vector = base .* D + rand_D;  % ps/(nm·km)
+end