diff --git a/data/priors/philcallums-bctune/makeprior_normres.py b/data/priors/philcallums-bctune/makeprior_normres.py
index bc33751..25cd2aa 100644
--- a/data/priors/philcallums-bctune/makeprior_normres.py
+++ b/data/priors/philcallums-bctune/makeprior_normres.py
@@ -1,71 +1,76 @@
 from ROOT import *
 
 def ConvertToGENIEDial(name, val, err):
     if name == "MaRES":
         convval = ((val / 1.12) - 1.0) / 0.20
         converr = ((err / 1.12) / 0.20)
         return "MaCCRES", convval, converr
     
     elif name == "DISNorm":
         convval = ((val - 100.0) / 100.0)/0.5
         converr = (err / 100.0)/0.5
         return "NonRESBGvnCC1pi,NonRESBGvpCC1pi,NonRESBGvbarnCC1pi,NonRESBGvbarpCC1pi", convval, converr
 
+#    elif name == "DISNorm":
+#        convval = ((val - 100.0) / 100.0)/0.5
+#        converr = (err / 100.0)/0.5
+#        return "NonRESBGvnCC1pi,NonRESBGvpCC1pi", convval, converr
+
     elif name == "RESNorm":
         convval = ((val - 100.0)/100.0)
         converr = err / 100.0
         return "MINERvARW_NormCCRES", convval, converr
 
 def MakePriorROOTFile(name, fit, cor):
 
     out = TFile("bctuneprior_" + name + ".root","RECREATE")
     out.cd()
 
     # Make Dial Plot
     dials = TH1D("dials", "dials;Dials;Dial Value",
                  len(fit),0.0,float(len(fit)))
     i = 0
     for result in fit:
         name, val, err = ConvertToGENIEDial( result[0], result[1], result[2] )
         print name, val, err
         dials.GetXaxis().SetBinLabel(i+1, name)
         dials.SetBinContent(i+1, val)
         dials.SetBinError(i+1, err)
         i += 1
     dials.Write()
 
     # Make Cover Plot
     covars = TH2D("covariance","covariance;Dials;Dials;Covar",
                   len(fit),0.0,float(len(fit)),
                   len(fit),0.0,float(len(fit)))
     for i in range(len(fit)):
         for j in range(len(fit)):
             
             namei, vali, erri = ConvertToGENIEDial( fit[i][0], fit[i][1], fit[i][2] )
             namej, valj, errj = ConvertToGENIEDial( fit[j][0], fit[j][1], fit[j][2] )
             
             covars.GetXaxis().SetBinLabel(i+1,namei)
             covars.GetYaxis().SetBinLabel(j+1,namej)
             covars.SetBinContent(i+1,j+1, erri*errj*cor[i][j])
     covars.Write()
 
     # Close
     out.Close()
     
 
 
 
 
 # Fit results [val,err]
 # Correlation should be in same order
 name_res = "WithNormRES"
 fit_res = [ ["MaRES",   0.94,0.05],
             ["DISNorm", 46, 4],
             ["RESNorm", 115,7] ]
 cor_res = [ [1.0, -0.3, -0.9],
             [-0.3, 1.0, 0.2],
             [-0.9, 0.2, 1.0] ]
 MakePriorROOTFile(name_res, fit_res, cor_res)