settings is updated

settings.py

@@ -16,8 +16,7 @@ time = np.array([])
 
 path_BS_noise_data = ""
 filename_BS_noise_data = ""
-BS_noise_data = np.array([])
-snr = np.array([])
+BS_noise_data = np.array([])    # BS noise data averaged (array has the same shape than BS_raw_data shape)
 
 date = []
 date_noise = []
@@ -34,22 +33,21 @@ kt = np.array([])
 gain_rx = np.array([])
 gain_tx = np.array([])
 
-snr = np.array([])
-snr_reshape = np.array([])
+snr = np.array([])              # snr is computed with BS_noise_data
 time_snr = np.array([])
 
 # --- reshape raw data for table of values in Acoustic Data tab ---
 time_reshape = np.array([])
 r_reshape = np.array([])
 BS_raw_data_reshape = np.array([])
-snr_reshape = np.array([])
+snr_reshape = np.array([])      # snr is reshape to be included in table of values in acoustic data tab
 DataFrame_acoustic = pd.DataFrame()
 
 # --- Processed data in Acoustic Data Tab and used in Acoustic processing tab ---
 BS_data = np.array([])              # BS data limited with tmin and tmax values of spin box
 BS_data_section = np.array([])      # BS data in the section. Values NaN outside the bottom of the section are deleted
-Noise_data = np.array([])
-SNR_data = np.array([])
+Noise_data = np.array([])           # Noise_data = BS_noise_data[:, :, tmin:tmax]
+SNR_data = np.array([])             # SNR_data = snr[:, :, tmin:tmax]
 t = np.array([])
 r_bottom = np.array([])
 val_bottom = np.array([])
@@ -60,7 +58,7 @@ freq_bottom_detection = 0
 BS_data_section_SNR_filter = np.array([])   # BS data filtered with SNR values (remove point if SNR < value)
 BS_data_section_averaged = np.array([])     # BS data averaged
 time_average = np.array([])
-SNR_data_average = np.array([])
+SNR_data_average = np.array([])             # SNR data computed with BS signal averaged (not with BS raw signal)
 
 water_attenuation = 0
 sediment_attenuation = 0