corrected two small things

ab2tds/make_TDS_IntensityPlane.py

@@ -574,14 +574,14 @@ if(sys.argv[0][-12:]!="sphinx-build"):
         totalstats = 1.0
 
 
-      if "branchWeight" in dir():
+      if "branchWeight" in dir() and branchWeight is not None:
           if count==0 : print " CONSIDERING WEIGTHED BRANCHES AS GIVEN BY  branchWeight = ", branchWeight
           totalstats= totalstats *numpy.array(branchWeight) 
       else:
           if count==0 :print "no branchWeight provided, considering all branches \n"*10
 
 
-      if "energyWindow" in dir():
+      if "energyWindow" in dir() and energyWindow is not None:
           if count==0 :print " CONSIDERING energyWindow(meV) = ", energyWindow
           totalstats= totalstats *numpy.less(evals  * 12398.5253/(10.0**8) *1000.0   , energyWindow[1])
           totalstats= totalstats *numpy.less(energyWindow[0]        ,evals * 12398.5253/(10.0**8) *1000.0) 

ab2tds/make_TDS_IntensityPlaneClone.py

@@ -166,9 +166,6 @@ lowerLimit=0.000001
 bottom_meV = 0
 """ Calculated eigenvalues are clipped to this value before use.
 """
-branchWeight=None
-""" a list of weights : one per branch.
-"""
 Eigscal=0
 """
 EigScal==1   Intensity are calculated WITH only eigenvector scalar products ; ==2 Intensity are calculated WITH only eigenvector scalar products PLUS Mass factor
@@ -524,14 +521,14 @@ if(sys.argv[0][-12:]!="sphinx-build"):
       if EigScal:
         totalstats = 1.0
 
-      if "branchWeight" in dir():
+      if "branchWeight" in dir() and branchWeight is not  None:
           if count==0 : print " CONSIDERING WEIGTHED BRANCHES AS GIVEN BY  branchWeight = ", branchWeight
           totalstats= totalstats *numpy.array(branchWeight) 
       else:
           if count==0 :print "no branchWeight provided, considering all branches \n"*10
 
 
-      if "energyWindow" in dir():
+      if "energyWindow" in dir() and energyWindow is not None :
           if count==0 :print " CONSIDERING energyWindow(meV) = ", energyWindow
           totalstats= totalstats *numpy.less(evals  * 12398.5253/(10.0**8) *1000.0   , energyWindow[1])
           totalstats= totalstats *numpy.less(energyWindow[0]        ,evals * 12398.5253/(10.0**8) *1000.0)