ants

nonregressions/volumes/esrf_scans/fourmis/interp/batch_extraction_interp.py

@@ -46,7 +46,6 @@ def main():
     ## such radius from the maximum
     isolate_spot_by = 7
 
-
     #### For the fit of the response function based on reference scans
     response_fit_options = dict( [
         ["niter_optical" , 100],
@@ -67,7 +66,7 @@ def main():
     
     steps_to_do = {
         "do_step_make_roi":                      False,
-        "do_step_sample_extraction":             False,
+        "do_step_sample_extraction":             True,
         "do_step_interpolation":                 False,
         "do_step_extract_reference_scan":             False,
                 
@@ -108,10 +107,8 @@ def main():
         elastic.get_compensation_factor( elastic_scan_for_peaks_shifts , method='sum')
         el_dict = elastic.cenom_dict
         Enominal = np.median(  list( el_dict.values() ) )
-        peaks_shift = np.array([    el_dict["ROI%02d"%i] if ("ROI%02d"%i) in  el_dict else nan    for i in range( 72)  ] )
-        for p in peaks_shift:
-            print( p)
-        raise
+        peaks_shifts = np.array([    el_dict["ROI%02d"%i] if ("ROI%02d"%i) in  el_dict else nan    for i in range( 72)  ] )
+
         Enominal = np.median(peaks_shifts)
         peaks_shifts-= Enominal