View/signal_processing_tab.py

@@ -625,14 +625,12 @@ class SignalProcessingTab(QWidget):
         self.compute_average_profile_tail()
 
         if stg.noise_method[data_id] == 0:
-            if stg.filename_BS_noise_data[data_id] == "":
+            if stg.filename_BS_noise_data[data_id] != "":
-                return
+                if len(stg.BS_noise_raw_data) == 0:
-
+                    self.load_noise_data_and_compute_SNR()
-            if len(stg.BS_noise_raw_data) == 0:
+                else:
-                self.load_noise_data_and_compute_SNR()
+                    for i in range(self.combobox_acoustic_data_choice.count()):
-            else:
+                        self.compute_noise(i)
-                for i in range(self.combobox_acoustic_data_choice.count()):
-                    self.compute_noise(i)
         elif stg.noise_method[data_id] == 1:
             self.compute_noise_from_profile_tail_value()
 
@@ -922,6 +920,8 @@ class SignalProcessingTab(QWidget):
 
         self.compute_average_profile_tail()
 
+        logger.debug(f"stg.SNR_filter_value: {stg.SNR_filter_value}")
+
         self.lineEdit_profile_tail_value.setText(
             str(stg.noise_value[data_id])
         )
@@ -1649,6 +1649,7 @@ class SignalProcessingTab(QWidget):
             BS_data_ppa = stg.BS_raw_data_pre_process_average
             for i in range(len(BS)):
                 bs = BS[i]
+                logger.debug(f"BS data shape {bs[data_id].shape}")
                 if bs[data_id].shape == (0,):
                     continue
 
@@ -1657,6 +1658,7 @@ class SignalProcessingTab(QWidget):
                     BS_data_ppa = BS_ppa[i]
                     break
 
+            logger.debug(f"BS_data: {BS_data[data_id].shape}")
 
             # BS_data_ppa[data_id] = deepcopy(BS_data[data_id])
             #
@@ -1685,11 +1687,11 @@ class SignalProcessingTab(QWidget):
 
             BS_data_ppa[data_id] = np.array([temp_list[0]])
             for j in range(stg.freq[data_id].shape[0]-1):
-                BS_data_ppa[data_id] = np.append(
+                BS_data_ppa[data_id] = np.append(BS_data_ppa[data_id], np.array([temp_list[j+1]]), axis=0)
-                    BS_data_ppa[data_id],
+
-                    np.array([temp_list[j+1]]),
+            logger.debug(
-                    axis=0
+                f"BS_data_ppa: {BS_data_ppa[data_id].shape}"
-                )
+            )
 
     def plot_pre_processed_profile(self):
         data_id = max(0, self.combobox_acoustic_data_choice.currentIndex())

virtualenv/requirements.txt

@@ -1,15 +1,41 @@
 astropy==6.1.7
+astropy-iers-data==0.2025.3.3.0.34.45
+contourpy==1.0.7
+cycler==0.11.0
+defusedxml==0.7.1
+et-xmlfile==1.1.0
+fonttools==4.38.0
+importlib-resources==5.12.0
+joblib==1.2.0
+kiwisolver==1.4.4
+llvmlite==0.39.1
 matplotlib==3.6.3
 numba==0.56.4
 numpy==1.23.5
+odfpy==1.4.1
+openpyxl==3.0.10
+packaging==23.0
 pandas==1.5.3
+Pillow==9.4.0
+profilehooks==1.12.0
+pyerfa==2.0.1.5
+pyparsing==3.0.9
+pyqt-checkbox-table-widget==0.0.14
+pyqt-file-list-widget==0.0.1
+pyqt-files-already-exists-dialog==0.0.1
+pyqt-tooltip-list-widget==0.0.1
 PyQt5==5.15.9
 PyQt5-Qt5==5.15.2
 PyQt5-sip==12.11.0
 python-dateutil==2.8.2
+pytz==2022.7.1
+PyYAML==6.0.2
 scikit-learn==1.2.1
 scipy==1.10.0
-odfpy==1.4.1
+simplePyQt5==0.0.1
-openpyxl==3.0.10
+six==1.16.0
-pyinstaller==6.12.0
+threadpoolctl==3.1.0
-pyqt_file_list_widget==0.0.1
+utm==0.7.0
+xlrd==2.0.1
+xmltodict==0.13.0
+zipp==3.15.0