First attempt at automatic optimization.

4 files changed, 83 insertions, 14 deletions

diff --git a/fitness.m b/fitness.m
index 285cf12..6c0026b 100644
--- a/fitness.m
+++ b/fitness.m
@@ -25,9 +25,9 @@ function Energy = fitness( q_0, q_final, x_final, optics_positions )
     

     d=cat(2, d, d_from_start, d_from_end);

     

-    coef = 1e-1;

-    

-    penalty=coef*sum( exp(-(d/lens_size).^2) );

+    coef = 1;

+   

+    penalty=coef*sum( exp(-(d/(lens_size)).^12) );

     

     Energy = Energy + penalty;

     

@@ -37,11 +37,22 @@ function Energy = fitness( q_0, q_final, x_final, optics_positions )
     

     d = cat(2, d_from_start, d_from_end);

     

-    coef = 1e-1;

+    coef = 1e-2;

     

-    penalty = coef * sum(1 + tanh(d.^2));

+    penalty = coef * sum(1 + tanh(10*d));

     

     Energy = Energy + penalty;

     

+    % make collimated region between 2nd and 3rd lens   

+    %intialize intermediate points between lenses

+    intermediate_positions = linspace(optics_positions(2), optics_positions(3),10);

+    f_q_x = @(x) gbeam_propagation(x,q_0,x0,optics_placer(optics_positions));

+    q_intermediate = arrayfun(f_q_x,intermediate_positions);

+    lambda_over_waist_sq = (-imag(1./q_intermediate)); %with numerical factor

+    

+   

+    coef = 1e-2;

+    penalty = coef * sum(exp((std(lambda_over_waist_sq)/mean(lambda_over_waist_sq))));

+    Energy = Energy + penalty;

 end

 

diff --git a/fitter_check.m b/fitter_check.m
new file mode 100644
index 0000000..0639e10
--- /dev/null
+++ b/fitter_check.m
@@ -0,0 +1,64 @@
+
+% ########################################## 
+clear;
+lambda= 1.064E-6 ;
+Ltot= 1.010675025828971 ;
+r0= 1.0E+100 ;
+w0= 2.563E-5 ;
+x0= 0 ;
+lns1.abcd=abcd_lens( 0.075 ) ;
+lns1.x= 0.21358727296049 ;
+lns2.abcd=abcd_lens( 0.075 ) ;
+lns2.x= 0.40361319425309 ;
+lns3.abcd=abcd_lens( 0.203 ) ;
+lns3.x= 0.80361319425309 ;
+wf= 3.709E-5 ;
+rf= 1.0E+100 ;
+xf= Ltot;
+
+q0=wr2q(w0,r0,lambda);
+x0=0;
+qf=wr2q(wf,rf,lambda);
+xf=Ltot;
+
+optics={lns1,lns2,lns3};
+figure(1)
+w_final_handmade = solution_visualization(q0,x0, qf, xf, optics, lambda);
+% ########################################## 
+
+%Initialize sample arrays
+sample_energy = [];
+sample_x = [];
+
+for iteration = 1:10
+    optics_x_rand = sort(rand(1,3));
+   
+    test_optics_x = optics_x_rand - min(optics_x_rand(:));
+    test_optics_x(1) = []; %delete first element in array
+    
+    %Prevent random placements that are too close
+    while any(test_optics_x < .03) == 1
+        optics_x_rand = sort(rand(1,3));
+        test_optics_x = optics_x_rand - min(optics_x_rand(:));
+        test_optics_x(1) = [];
+    end
+    
+    fitness_simplified=@(x) fitness(q0, qf, Ltot, x );
+    [x_sol, energy]=fminsearch(fitness_simplified, optics_x_rand, optimset('TolX',1e-8,'TolFun',1e-8,'MaxFunEvals',1e8,'MaxIter',2000));
+    
+    sample_energy = [sample_energy; energy];
+    sample_x = [sample_x; x_sol];        
+    
+    iteration
+    
+end
+
+energy_min = min(sample_energy(:));
+index_of_energy_min = find(sample_energy == energy_min);
+x_sol = sample_x(index_of_energy_min,:);
+
+figure(2)
+w_final_trial = solution_visualization(q0,x0, qf, xf, optics_placer(x_sol), lambda)
+
+w_final_handmade
+x_sol
diff --git a/optics_placer.m b/optics_placer.m
index ec08ab2..2287e1b 100644
--- a/optics_placer.m
+++ b/optics_placer.m
@@ -12,4 +12,3 @@ function optics = optics_placer( x )
     optics={lns1,lns2,lns3};

     

 end

-

diff --git a/solution_visualization.m b/solution_visualization.m
index b886722..e3c0b71 100644
--- a/solution_visualization.m
+++ b/solution_visualization.m
@@ -1,4 +1,4 @@
-function solution_visualization(q0,x0, qf, xf, optics, lambda)
+function waste_at_the_end = solution_visualization(q0,x0, qf, xf, optics, lambda)
 
 
 
@@ -20,13 +20,8 @@ plot ( ...
 	x, -w_backward, '-.b')
 legend({'forward propagation', '', 'backward propagation', ''})      
 
-fprintf('======= final check =============\n')
-fprintf('following are desired values: \n')
-
-fprintf('======= after propagation ========\n')
-fprintf('values below should match wf and rf: \n')
 [waste_at_the_end,radius_at_the_end]  = q2wr(q_forward(end), lambda);
-waste_at_the_end
-radius_at_the_end
+%waste_at_the_end
+%radius_at_the_end