final press 8ecm
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@@ -146,27 +146,12 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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for i in range(len(ids)):
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cur_key = ids[i]
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true_level = np.log(true_values[ids[i]]/current_val[i])/np.log(2)
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rec_value = np.round(2**theta[-1, idx]*current_val[i],2)
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#curve = theta[:,idx] + line_split*idx - true_level
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#dash_curve = line_split*idx + t*0
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curve = 2**theta[:, idx]*current_val[i]
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std_down = 2**(-np.sqrt(P[:, idx, idx]))*curve
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std_up = 2**np.sqrt(P[:, idx, idx])*curve
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dash_curve = true_values[ids[i]] + t*0
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if ids_type[i] == 'dirichlet':
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fig3, axes3 = plt.subplots(1,1,figsize=(12,5))
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axes3.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 4)
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axes3.fill_between(t, std_down, std_up, alpha=0.3, color=col_)
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legends_=next(legends)
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axes3.plot(t, dash_curve , color=col_,ls='--')
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axes3.plot(t, dash_curve , color=col_,ls='--' , linewidth = 3)
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axes3.set_ylabel(r'$U$',fontsize=36)
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axes3.legend(fontsize=36,loc='upper right')
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axes3.set_xlim([-0.01,0.81])
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@@ -177,28 +162,34 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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plt.savefig('U.png')
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plt.close(fig3)
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else:
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cur_key = ids[i]
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rec_value = np.round(2**theta[-1, idx]*current_val[i],2)
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curve = 2**theta[:, idx]*current_val[i]
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std_down = 2**(-np.sqrt(P[:, idx, idx]))*curve
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std_up = 2**np.sqrt(P[:, idx, idx])*curve
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dash_curve = true_values[ids[i]] + t*0
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axes1.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 3)
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axes1.fill_between(t, std_down, std_up, alpha=0.3, color=col_)
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axes1.plot(t, dash_curve , color=col_,ls='--')
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axes1.plot(t, dash_curve , color=col_,ls='--',linewidth = 3)
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legends_=next(legends)
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if RC_flag:
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if i<len(current_val_C):
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rec_value_C = np.round(2**theta[-1, idx+1]*current_val_C[idc],6)
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if RC_flag:
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if i<len(current_val_C):
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true_level_C = np.log(true_values_C[ids[i]]/current_val_C[i])/np.log(2)
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rec_value_C = np.round(2**theta[-1, idc]*current_val_C[idc],6)
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curve_C = 2**theta[:, idx+1]*current_val_C[idc]
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dash_curve_C = true_values_C[ids[i]] + t*0
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std_C_down = 2**(-np.sqrt(P[:, idx+1, idx+1]))*curve_C
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std_C_up = 2**np.sqrt(P[:, idx+1, idx+1])*curve_C
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axes2.plot(t, curve_C , '-', color=col_,label= legends_ + '= ' + str(rec_value_C) + '/' + str(true_values_C[cur_key]) + '$', linewidth = 2)
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axes2.fill_between(t, std_C_down, std_C_up, alpha=0.3, color=col_)
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axes2.plot(t, dash_curve_C , color=col_,ls='--')
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legends_=next(legends)
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idx +=1
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idc +=1
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curve_C = 2**theta[:, idx+1]*current_val_C[idc]
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dash_curve_C = true_values_C[ids[i]] + t*0
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std_C_down = 2**(-np.sqrt(P[:, idx+1, idx+1]))*curve_C
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std_C_up = 2**np.sqrt(P[:, idx+1, idx+1])*curve_C
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axes2.plot(t, curve_C , '-', color=col_,label= legends_ + '= ' + str(rec_value_C) + '/' + str(true_values_C[cur_key]) + '$', linewidth = 3)
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axes2.fill_between(t, std_C_down, std_C_up, alpha=0.3, color=col_)
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axes2.plot(t, dash_curve_C , color=col_,ls='--',linewidth = 3)
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legends_=next(legends)
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idx +=1
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idc +=1
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if meas_flag:
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@@ -221,10 +212,12 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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if RC_flag:
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axes2.set_ylabel(r'$C$',fontsize=24)
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axes2.legend(fontsize=18,loc='upper right')
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axes2.set_ylabel(r'$C$',fontsize=36)
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axes2.legend(fontsize=36,loc='upper right')
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axes2.set_xlim([-0.01,0.81])
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axes2.set_xlabel(r'$t (s)$',fontsize=24)
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plt.xticks(fontsize=28)
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plt.yticks(fontsize=28)
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axes2.set_xlabel(r'$t (s)$',fontsize=36)
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fig2.savefig('C.png')
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fig1.savefig('Rd.png')
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@@ -8,7 +8,7 @@ fluid:
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implicit_windkessel: True
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io:
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write_path: 'results/HRz_Pb_V70'
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write_path: 'results/impl_1ms'
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restart:
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path: '' # './projects/nse_coa3d/results/test_restart2/'
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time: 0
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@@ -27,7 +27,8 @@ boundary_conditions:
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value: ['0','0','-U*sin(DOLFIN_PI*t/Th)*(t<=Th) + (Th<t)*(U*DOLFIN_PI/Th*(t-Th)*exp(-(t-Th)*beta))']
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parameters:
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#U: 75 #REFERENCE
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U: 150 #Pa Pb
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U: 80
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#U: 150 #Pa/Pb
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#U: 40 #Pc
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Th: 0.36
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beta: 70
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@@ -55,9 +56,9 @@ boundary_conditions:
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#C: 0.0010 # Pb
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#C: 0.0001 # Pc
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#C: 0.0008 # Pg
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#R_d: 7200 # REFERENCE
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R_d: 7200 # REFERENCE
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#R_d: 8760 #Pa
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R_d: 17520 #Pb x2
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#R_d: 17520 #Pb x2
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#R_d: 4000 #Pc
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p0: 85
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conv: 1333.223874
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@@ -71,9 +72,9 @@ boundary_conditions:
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#C: 0.0010 # Pb
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#C: 0.0001 # Pc
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#C: 0.0008 # Pg
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#R_d: 11520 # REFERENCE
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R_d: 11520 # REFERENCE
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#R_d: 8760 #Pa
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R_d: 17520 #Pb x2
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#R_d: 17520 #Pb x2
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#R_d: 4000 #Pc
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p0: 85
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conv: 1333.223874
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@@ -86,9 +87,9 @@ boundary_conditions:
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#C: 0.0005 #Pa
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#C: 0.0010 #Pb
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#C: 0.0001 #Pc
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#R_d: 11520 # REFERENCE
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R_d: 11520 # REFERENCE
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#R_d: 8760 #Pa
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R_d: 17520 #Pb x2
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#R_d: 17520 #Pb x2
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#R_d: 4000 #Pc
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p0: 85
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conv: 1333.223874
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@@ -131,7 +132,7 @@ fem:
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convection_skew_symmetric: True # aka Temam term
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stabilization:
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forced_normal:
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enabled: True
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enabled: False
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boundaries: [3,4,5,6]
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gamma: 20
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backflow_boundaries: [3,4,5,6]
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@@ -162,17 +163,17 @@ estimation:
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-
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id: 4
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type: 'windkessel'
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mode: 'Rd'
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mode: 'RdC'
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initial_stddev: 1
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-
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id: 5
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type: 'windkessel'
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mode: 'Rd'
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mode: 'RdC'
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initial_stddev: 1
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-
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id: 6
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type: 'windkessel'
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mode: 'Rd'
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mode: 'RdC'
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initial_stddev: 1
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-
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id: 2
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@@ -186,12 +187,12 @@ estimation:
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mesh: '/home/yeye/NuMRI/kalman/meshes/coaortaH3_leo2.0.h5'
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#mesh: './meshes/coaortaH1.h5'
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fe_degree: 1
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xdmf_file: 'measurements/aorta_zdir/Perturbation/Mg15V70/u_all.xdmf'
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file_root: 'measurements/aorta_zdir/Perturbation/Mg15V70/u{i}.h5'
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#xdmf_file: 'measurements/aorta/u_all.xdmf'
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#file_root: 'measurements/aorta/u{i}.h5'
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#xdmf_file: 'measurements/aorta_dt1ms/Perturbation/Mg15V70/u_all.xdmf'
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#file_root: 'measurements/aorta_dt1ms/Perturbation/Mg15V70/u{i}.h5'
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xdmf_file: 'measurements/aorta_exp_dt1ms/u_all.xdmf'
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file_root: 'measurements/aorta_exp_dt1ms/u{i}.h5'
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indices: 0 # indices of checkpoints to be processed. 0 == all
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velocity_direction: ~
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velocity_direction: [0,0,1]
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noise_stddev: 45 # standard deviation of Gaussian noise
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roukf:
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@@ -199,5 +200,5 @@ estimation:
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observation_operator: 'postprocessing' #state or postprocessing
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reparameterize: True
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ODV_functional:
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enable: True
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VENC: 142
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enable: False
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VENC: 138
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