Improved BOZ flat field

• adds low and high threshold on product and ratio of ROIs to calculate flat field correction
• adds default flat field guess for the fit as parameters
• implement hexagonal lattice for DSSC pixels
• breaks left/right symmetry for flat field fitting since zone plate can be slightly rotated
• implements a refine fit with regularization for flat field calculation
• implements dask auto rechunking

Closes #53 (closed) #55 (closed)

src/toolbox_scs/routines/XAS.py

@@ -192,13 +192,13 @@ def xas(nrun, bins=None, Iokey='SCS_SA3', Itkey='MCP3peaks', nrjkey='nrj',
 
     if bins is None:
         num_bins = 80
-        energy_limits = [np.min(nrj), np.max(nrj)]
+        energy_limits = [np.nanmin(nrj), np.nanmax(nrj)]
         bins = np.linspace(energy_limits[0], energy_limits[1], num_bins+1)
     elif type(bins) == int:
-        energy_limits = [np.min(nrj), np.max(nrj)]
+        energy_limits = [np.nanmin(nrj), np.nanmax(nrj)]
         bins = np.linspace(energy_limits[0], energy_limits[1], bins+1)
     elif type(bins) == float:
-        energy_limits = [np.min(nrj), np.max(nrj)]
+        energy_limits = [np.nanmin(nrj), np.nanmax(nrj)]
         bins = np.arange(energy_limits[0], energy_limits[1], bins)
 
     dummy, nosample = binning(rundata['nrj'], rundata, whichIo, bins)