asd

kalman/graphics/figure2.py

@@ -52,30 +52,37 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
         inputfile = yaml.full_load(file)
 
     #true_val = [10,250,250,250,30]
-    true_val = [10,60,220,160,100]
+    true_values = {
+            3: 10,
+            4: 60,
+            5: 220,
+            6: 160,
+            2: 100
+            }
   
     
     current_val = []
     labels = []
-    
+    ids = []
+
     for bnd_c in inputfile['estimation']['boundary_conditions']:
         
         if 'windkessel' in bnd_c['type']:
             for bnd_set in inputfile['boundary_conditions']:
                 if bnd_c['id'] == bnd_set['id']:
+                    ids.append(bnd_c['id'])
                     current_val.append(bnd_set['value'][0])
                     labels.append('R_' + str(bnd_c['id']))
 
         elif 'dirichlet' in bnd_c['type']:
             current_val.append(inputfile['boundary_conditions'][1]['parameters']['U'])
+            ids.append(bnd_c['id'])
             labels.append('U')
 
 
     dim = dat['theta'].shape[-1]
     fig1, axes = plt.subplots(1,1,figsize=(8,6))
 
-
-
     axes.set_ylabel(r'$\theta$',fontsize=18)
 
     t = dat['times']
@@ -104,7 +111,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
                         color=col_)
         
 
-        true_level =  np.log(true_val[i]/current_val[i])/np.log(2)
+        true_level =  np.log(true_values[ids[i]]/current_val[i])/np.log(2)
         axes.plot(t,1.5*i + t*0 + true_level , color=col_,ls='--')
         col_ = next(col)
         legends_=next(legends)
@@ -115,8 +122,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
     # print('theta_peak: \t {}'.format(theta[round(len(theta)/2), :]))
     print('Final value theta: \t {}'.format(theta[-1, :]))
     print('Deparameterized: 2^theta_end: \t {}'.format(2**theta[-1, :]))
-    print('Real values: \t {}'.format(true_val))
-    print('Recon values: \t {}'.format(np.round(2**theta[-1, :]*current_val,2)))
+    print('Real values: \t {}'.format(true_values))
+    print('Recon values: \t {a}:{b} '.format(a=ids[:],b=np.round(2**theta[-1, :]*current_val,2)))
 
 
 

kalman/input_files/aorta_C.yaml

@@ -40,31 +40,31 @@ boundary_conditions:
     - 
         id: 3
         type: 'windkessel'
-        #value: [10,0,0]
-        value: [10,0.0008,2400]
-        p0: [80,1333.223874]
-        #p0: [0,1333.223874]
+        value: [10,0,0]
+        #value: [10,0.0008,2400] # [R_p,C,R_d] SEPARAR 
+        #p0: [80,1333.223874]
+        p0: [0,1333.223874]
     - 
         id: 4
         type: 'windkessel'
         value: [60,0,0]
         #value: [60,0.00034,4200]
-        p0: [80,1333.223874]
-        #p0: [0,1333.223874]
+        #p0: [80,1333.223874]
+        p0: [0,1333.223874]
     - 
         id: 5
         type: 'windkessel'
         value: [220,0,0]
         #value: [220,0.00034,11000]
-        p0: [80,1333.223874]
-        #p0: [0,1333.223874]
+        #p0: [80,1333.223874]
+        p0: [0,1333.223874]
     - 
         id: 6
         type: 'windkessel'
         value: [160,0,0]
         #value: [160,0.00034,7800]
-        p0: [80,1333.223874]
-        #p0: [0,1333.223874]
+        #p0: [80,1333.223874]
+        p0: [0,1333.223874]
 
 timemarching:
     velocity_pressure_coupling: 'fractionalstep'    # monolithic, fractionalstep
@@ -128,14 +128,14 @@ linear_solver:
 
 estimation:
     boundary_conditions:
-        - 
-            id: 3
-            type: 'windkessel'
-            initial_stddev: 1
         #- 
-        #    id: 4
+        #    id: 3
         #    type: 'windkessel'
         #    initial_stddev: 1
+        - 
+            id: 4
+            type: 'windkessel'
+            initial_stddev: 1
         #- 
         #    id: 5
         #    type: 'windkessel'