Dssc1module

Provides a class to multiprocess one module of DSSC and extract ROIs sum data.

DSSC1module.py

@@ -222,7 +222,8 @@ class DSSC1module:
             self.module_data['t0'] = self.t0
             
             
-        self.plot_title = f"{self.proposal} run: {self.module_data['run'].values} dark: {self.dark_data['run'].values}"            
+        self.plot_title = f"{self.proposal} run: {self.module_data['run'].values} dark: {self.dark_data['run'].values}"
+        self.module_data.attrs['plot_title'] = self.plot_title
         
     def compute_mask(self, low=0.01, high=0.8):
         """ Compute a DSSC module mask from the noise map of a dark run.
@@ -294,9 +295,10 @@ class DSSC1module:
 
         if save_folder is None:
             save_folder = self.save_folder
-
-        fname = f'run{self.run_nr}_dark.h5'  # no scan
+            
+        self.run_nr = dark_runNB
         self.dark_data = xr.open_dataset(os.path.join(save_folder, f'run{dark_runNB}_dark.h5'), group='data')
+        self.plot_title = f"{self.proposal} dark: {self.dark_data['run'].values}"
 
     def show_rois(self):
         fig, ax1 = plt.subplots(nrows=1, figsize=[5, 2.5])