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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)

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