add a test to better detect excitation scanning mode

ditb/exposure/darkwhite_correction.py

@@ -69,8 +69,12 @@ def correct_dark_white(images: str, dark: str = '', white: str = '' ,
     
     # check if we do excitation scanning or not
     focus_motor = meta_white['Roi1/Tile0'][0,0,0]['metadata']['Core-Focus']
+    # Add a test on the name of the channels
+    # If the channels starts with DM.... it's probably and excitation scanning
+    # If the channels starts with EX... it's sure that it's a multi-excitation-position
+    channels_start_with_DM = all([a.startswith('DM') for a in meta['Summary']['ChNames']])
 
-    if 'IHR' in focus_motor and images.shape[3] == white.shape[3]:
+    if 'IHR' in focus_motor and channels_start_with_DM and images.shape[3] == white.shape[3]:
         print('Excitation scanning normalisation')
 
         # Normalise the white (between min_ratio and 1)
@@ -214,7 +218,7 @@ def correct_dark_white(images: str, dark: str = '', white: str = '' ,
         # Compute the transfert function
         if correct_LM_excitation:
             # The excitation of the white is not flat
-            print('Use the transfer function from the excitation spectra of the LM')
+            print('WARNING: Use the transfer function from the excitation spectra of the LM, this is buggy')
             xlm, ylm = load_excitation_LM()
 
             # Interpolate the excitation spectra of the white
@@ -342,20 +346,7 @@ def correct_dark_white(images: str, dark: str = '', white: str = '' ,
         diff_im_darks[diff_im_darks < 0 ] = 0
 
         # Compute the transfert function
-        if correct_LM_excitation:
-            # The excitation of the white is not flat
-            print('Use the transfer function from the excitation spectra of the LM')
-            xlm, ylm = load_excitation_LM()
-
-            # Interpolate the excitation spectra of the white
-            ylmi = np.interp(all_white_ex_wavelength, xlm, ylm)
         
-            # Normalise this profile by it's maximum
-            ylmi_norm = ylmi / ylmi.max()
-
-            # the transfert function is the excitation of the white divided by the normed white
-            tf = ylmi_norm / n_white
-        else:
         # The transfer function is just the inverse of the white 
         # (i.e. the excitation spectra of the white is flat)
         tf = 1 / n_white

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "DITB"
-version = "20240526rc1"
+version = "20240526rc2"
 readme = "README.md"
 requires-python = ">=3.11"
 authors = [{ name = "Hugo Chauvet", email = "hugo.chauvet@synchrotron-soleil.fr" }]