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acoused
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Inversion: Minor change.

dev
Pierre-Antoine 2025-04-16 15:15:44 +02:00
parent 400fa26f84
commit fbdbc7ac76
1 changed files with 10 additions and 23 deletions
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31
View/acoustic_inversion_tab.py
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@ -532,32 +532,22 @@ class AcousticInversionTab(QWidget):
) )
def compute_SSC_fine(self): def compute_SSC_fine(self):
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()] = np.array([]) data_id = self.combobox_acoustic_data_choice.currentIndex()
stg.SSC_fine[self.combobox_acoustic_data_choice.currentIndex()] = self.inv_hc.SSC_fine( stg.SSC_fine[data_id] = np.array([])
stg.SSC_fine[data_id] = self.inv_hc.SSC_fine(
zeta=stg.zeta[1], zeta=stg.zeta[1],
r2D=stg.depth_2D[ r2D=stg.depth_2D[data_id][stg.frequency_for_inversion[1]],
self.combobox_acoustic_data_choice.currentIndex() VBI=stg.VBI_cross_section[data_id],
][
stg.frequency_for_inversion[1]
],
VBI=stg.VBI_cross_section[
self.combobox_acoustic_data_choice.currentIndex()
],
freq=stg.frequencies_for_calibration[1][0], freq=stg.frequencies_for_calibration[1][0],
X=stg.X_exponent[0], X=stg.X_exponent[0],
j_cross_section=stg.J_cross_section[ j_cross_section=stg.J_cross_section[data_id][1],
self.combobox_acoustic_data_choice.currentIndex()
][1],
alpha_w=np.full( alpha_w=np.full(
shape=stg.depth_2D[ shape=stg.depth_2D[data_id][
self.combobox_acoustic_data_choice.currentIndex()
][
stg.frequency_for_inversion[1] stg.frequency_for_inversion[1]
].shape, ].shape,
fill_value=stg.water_attenuation[ fill_value=stg.water_attenuation[data_id][
self.combobox_acoustic_data_choice.currentIndex()
][
stg.frequency_for_inversion[1] stg.frequency_for_inversion[1]
] ]
) )
@ -925,8 +915,6 @@ class AcousticInversionTab(QWidget):
) )
) )
# --- Plot fine SSC : measured vs inverted ---
def fill_combobox_fine_sample(self): def fill_combobox_fine_sample(self):
data_id = self.combobox_acoustic_data_choice.currentIndex() data_id = self.combobox_acoustic_data_choice.currentIndex()
@ -1746,7 +1734,6 @@ class AcousticInversionTab(QWidget):
else: else:
depth_data = stg.depth depth_data = stg.depth
t = np.repeat( t = np.repeat(
time_data[k][stg.frequency_for_inversion[1]], time_data[k][stg.frequency_for_inversion[1]],
depth_data[k].shape[1] depth_data[k].shape[1]