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@ -50,10 +50,14 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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if is_ipython():
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plt.ion()
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resultsname = 'results_slices_15dB/'
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idx_a = input_file.find('/')
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idx_b = input_file[idx_a+1::].find('/')
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name_file = input_file[idx_a+1:idx_b+idx_a+1]
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inputfile_path = 'results/' + name_file + '/input.yaml'
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inputfile_path = resultsname + name_file + '/input.yaml'
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with open(inputfile_path) as file:
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@ -85,6 +89,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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else:
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RC_flag = False
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line_split = 1.5
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rec_values = {}
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current_val = []
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current_val_C = []
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ids_type = []
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@ -153,7 +159,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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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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rec_values[cur_key] = rec_value
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@ -170,7 +176,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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axes3.set_box_aspect(1/4)
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plt.xticks(fontsize=28)
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plt.yticks(fontsize=28)
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plt.savefig('results/' + name_file + '/U.png')
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plt.savefig(resultsname + name_file + '/U.png')
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else:
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axes1.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 3)
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@ -223,7 +229,35 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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axes2.set_xlabel(r'$t (s)$',fontsize=36)
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fig2.savefig('C.png')
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fig1.savefig('results/' + name_file + '/Rd.png')
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fig1.savefig(resultsname + name_file + '/Rd.png')
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print('Final value theta: \t {}'.format(theta[-1, :]))
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print('Deparameterized: 2^theta_end: \t {}'.format(2**theta[-1, :]))
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print('Real values: \t {}'.format(true_values))
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print('Recon. values: \t {}'.format(rec_values))
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# saving reconstructed values
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np.save(resultsname + name_file + '/recon_values.npy',rec_values)
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print('----- paper ----')
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rec_values_new = {}
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epsilon = []
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for rk in rec_values.keys():
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eps = 100*rec_values[rk]/true_values[rk]-100
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epsilon.append(eps)
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if rk == 2:
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rec_values_new[rk] = np.round(rec_values[rk],1)
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else:
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rec_values_new[rk] = np.round(rec_values[rk]/1000,2)
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print('Recon. values: \t {}'.format(rec_values_new))
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print('epsilon =' , np.round(np.mean(epsilon),2))
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if not is_ipython():
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plt.show()
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@ -53,7 +53,7 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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idx_a = input_file.find('/')
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idx_b = input_file[idx_a+1::].find('/')
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name_file = input_file[idx_a+1:idx_b+idx_a+1]
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inputfile_path = 'results/' + name_file + '/input.yaml'
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inputfile_path = 'results_slices_15dB/' + name_file + '/input.yaml'
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with open(inputfile_path) as file:
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inputfile = yaml.full_load(file)
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@ -107,9 +107,9 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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theta = dat['theta']
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P = dat['P_theta']
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#col = cycle(['C0', 'C1', 'C2', 'C3','C4'])
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col = cycle(['orangered', 'dodgerblue', 'limegreen', 'C3','C4'])
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color_list = ['tomato', 'springgreen' , '#2CBDFE']
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col = cycle(color_list)
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legends = cycle(labels)
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col_ = next(col)
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@ -132,7 +132,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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if ids_type[i] == 'dirichlet':
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axes3.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 5)
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#axes3.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 5)
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axes3.plot(t, curve , '-', color=col_,label= legends_ + '$', linewidth = 5)
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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='--' , linewidth = 3)
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@ -147,7 +148,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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#plt.savefig('U_' + name_file + '.png')
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plt.close(fig3)
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else:
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axes1.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 4)
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#axes1.plot(t, curve , '-', color=col_,label= legends_ + '= ' + str(rec_value) + '/' + str(true_values[cur_key]) + '$', linewidth = 4)
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axes1.plot(t, curve , '-', color=col_,label= legends_ + '$', linewidth = 4)
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axes1.fill_between(t, std_down, std_up, alpha=0.3, color=col_)
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axes1.plot(t, dash_curve , color=col_,ls='--',linewidth = 3)
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legends_=next(legends)
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@ -161,8 +163,8 @@ def plot_parameters(dat, input_file, deparameterize=False, ref=None):
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axes1.set_ylabel(r'$R_d$',fontsize=30)
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axes1.legend(fontsize=36,loc='upper right')
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axes1.set_xlim([0,0.51])
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axes1.set_ylim([-1000,65000])
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axes1.set_xlim([0,0.8])
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axes1.set_ylim([-1000,66000])
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axes1.set_box_aspect(1/2)
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plt.xticks(fontsize=28)
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plt.yticks(fontsize=28)
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@ -8,7 +8,7 @@ fluid:
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state_velocity: 'update'
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io:
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write_path: 'results/Pb_Hz2.3_SNR12V30'
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write_path: 'results/Pb_test'
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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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@ -192,36 +192,24 @@ estimation:
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measurements:
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#-
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# #mesh: '/home/yeye/NuMRI/kalman/meshes/coaortaH3_leo2.0.h5'
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# mesh: '/home/yeye/Desktop/slices/slice_Hz5.7.h5'
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# fe_degree: 0
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# xdmf_file: 'measurements/slice_Hz5.7/Perturbation/Mg12V30/u_all.xdmf'
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# file_root: 'measurements/slice_Hz5.7/Perturbation/Mg12V30/u{i}.h5'
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# #xdmf_file: 'measurements/slice_Hz5.7/u_all.xdmf'
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# #file_root: 'measurements/slice_Hz5.7/u{i}.h5'
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# indices: 0 # indices of checkpoints to be processed. 0 == all
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# velocity_direction: [0,0,1]
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# #noise_stddev: 0 # standard deviation of Gaussian noise
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# #noise_stddev: 22.39 # SNR 12 slice 5.7
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# #noise_stddev: 15.76 # SNR 15 slice 5.7
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# #noise_stddev: 8.75 # SNR 15 slice 2.3
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# #noise_stddev: 12.15 # SNR 12 slice 2.3
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# noise_stddev: 0.269
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# VENC: 47
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# module_meas_file_root: 'measurements/slice_Hz5.7/Perturbation/Mg12V30/module/M{i}.h5'
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-
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#mesh: '/home/yeye/NuMRI/kalman/meshes/coaortaH3_leo2.0.h5'
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mesh: '/home/yeye/Desktop/slices/slice_Hz2.3.h5'
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fe_degree: 0
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xdmf_file: 'measurements/slice_Hz2.3/Perturbation/Mg12V30/u_all.xdmf'
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file_root: 'measurements/slice_Hz2.3/Perturbation/Mg12V30/u{i}.h5'
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xdmf_file: 'measurements/slice_Hz2.3/Perturbation/Mg15V30/u_all.xdmf'
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file_root: 'measurements/slice_Hz2.3/Perturbation/Mg15V30/u{i}.h5'
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#xdmf_file: 'measurements/slice_Hz2.3/Perturbation/Mg15V120/u_all.xdmf'
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#file_root: 'measurements/slice_Hz2.3/Perturbation/Mg15V120/u{i}.h5'
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#xdmf_file: 'measurements/slice_Hz2.3/u_all.xdmf'
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#file_root: 'measurements/slice_Hz2.3/u{i}.h5'
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indices: 0 # indices of checkpoints to be processed. 0 == all
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velocity_direction: [0,0,1]
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noise_stddev: 0.25
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VENC: 26
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module_meas_file_root: 'measurements/slice_Hz2.3/Perturbation/Mg12V30/module/M{i}.h5'
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#noise_stddev: 13.81
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noise_stddev: 'initial'
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#noise_stddev: 0.181
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VENC: 28
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module_meas_file_root: 'measurements/slice_Hz2.3/Perturbation/Mg15V30/module/M{i}.h5'
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roukf:
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particles: 'simplex' # unique or simplex
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