diff --git a/data/ANL/ANL_Data_PRD26_537.root b/data/ANL/ANL_Data_PRD26_537.root
index 29fec1a..965ec79 100644
Binary files a/data/ANL/ANL_Data_PRD26_537.root and b/data/ANL/ANL_Data_PRD26_537.root differ
diff --git a/data/BNL/BNL_Data_PRD23_2499.root b/data/BNL/BNL_Data_PRD23_2499.root
index b666e3a..101e558 100755
Binary files a/data/BNL/BNL_Data_PRD23_2499.root and b/data/BNL/BNL_Data_PRD23_2499.root differ
diff --git a/data/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root b/data/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root
index e6d858f..d61ec36 100644
Binary files a/data/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root and b/data/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root differ
diff --git a/data/T2K/CC0pi/makedatafile_t2kcc0pi.py b/data/T2K/CC0pi/makedatafile_t2kcc0pi.py
index acc5297..e80c5ba 100644
--- a/data/T2K/CC0pi/makedatafile_t2kcc0pi.py
+++ b/data/T2K/CC0pi/makedatafile_t2kcc0pi.py
@@ -1,294 +1,296 @@
 from ROOT import *
 from array import *
 
 def GetMiddle(mystr):
 
     lims = mystr.strip().split(" - ")
     val = (float(lims[0]) + float(lims[1]))/2.0
 
     return val
 
 def GetLowEdge(mystr):
 
     lims = mystr.strip().split(" - ")
     val = (float(lims[0]) + 0.00001)
     
     return val
 
 def GetHighEdge(mystr):
     
     lims = mystr.strip().split(" - ")
     val = (float(lims[1]) - 0.00001)
            
     return val
            
 def GetIndex(mystr):
 
     lims = mystr.split("-")
 
     return int(lims[0]), int(lims[1])
 
 outfile = TFile("T2K_CC0PI_2DPmuCosmu_Data.root","RECREATE")
 
 # ANALYSIS I
 #______________________________
 xedge   =  [0.0, 0.3, 0.4, 0.5, 0.65, 0.8, 0.95, 1.1, 1.25, 1.5, 2.0, 3.0, 5.0, 30.0]
 yedge   =  [-1.0, 0.0, 0.6, 0.7, 0.8, 0.85, 0.9, 0.94, 0.98, 1.0]
 
 datahist = TH2D("analysis1_data","analysis1_data",
                 len(xedge)-1, array('f',xedge),
                 len(yedge)-1, array('f',yedge))
            
 maphist = datahist.Clone("analysis1_map")
 maphist.SetTitle("analysis1_map")
            
 counthist = datahist.Clone("analysis1_entrycount")
 
 datapoly = TH2Poly("datapoly","datapoly", 0.0,30.0, -1.0, 1.0)
 hist = None
 
 binedges = []
 histedgeslist = []
 xsecvals = []
 histxseclist = []
 
 binlimits = [3,8,15,22,30,39,47,58,67]
 with open("cross-section_analysisI.txt") as f:
     count = 0
     for line in f:
         count += 1
         
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         ibin = int(   data[0]  ) + 1
         
         xval = round(float(GetLowEdge( data[2] )),4)
         yval = round(float(GetLowEdge( data[1] )),4)
         xhig = round(float(GetHighEdge( data[2] )),4)
         yhig = round(float(GetHighEdge( data[1] )),4)
         
         xsec = float( data[3]  ) * 1E-38
 
         datapoly.AddBin( xval, yval, xhig, yhig )
         datapoly.SetBinContent( datapoly.GetNumberOfBins(), xsec)
 
         binedges.append( xval )
         xsecvals.append( xsec )
         if ibin in binlimits: 
             binedges.append( xhig )
             histedgeslist.append(binedges)
             histxseclist.append(xsecvals)
             binedges = []
             xsecvals = []
 
 
         datahist.Fill(xval, yval, xsec)
         counthist.Fill(xval, yval, 1.0)
 
         for i in range(maphist.GetNbinsX()):
             for j in range(maphist.GetNbinsY()):
                 xcent = maphist.GetXaxis().GetBinCenter(i+1)
                 ycent = maphist.GetYaxis().GetBinCenter(j+1)
 
                 if (xcent > xval and xcent < xhig and
                     ycent > yval and ycent < yhig):
                     maphist.SetBinContent(i+1,j+1, ibin)
 
-data1D = TH1D("datahist","datahist", datapoly.GetNumberOfBins(), 0.0, float(datapoly.GetNumberOfBins()));
-for i in range(datapoly.GetNumberOfBins()):
-    data1D.SetBinContent(i+1, datapoly.GetBinContent(i+1));
-
-outfile.cd()
-datahist.Write()
-counthist.Write()
-maphist.Write()
-datapoly.Write()
-data1D.Write()
-
-for i, obj in enumerate(histedgeslist):
-    print obj
 
-    hist = TH1D("dataslice_" + str(i), "dataslice_" + str(i), len(obj)-1, array('f',obj))
-    for j in range(hist.GetNbinsX()):
-        hist.SetBinContent(j+1, histxseclist[i][j])
-
-    hist.GetXaxis().SetRangeUser(obj[0], obj[len(obj)-2])
-    hist.Draw("HIST")
-    gPad.Update()
-
-    hist.SetNameTitle("dataslice_" + str(i),"dataslice_" + str(i))
-    hist.Write()
-
-# Get N Bins                                                                                                                                                                                                                               
+# Get Covariances (keep in 1E-38 cm^2)                 \
 nbins = 67
-print "NBins I = ", nbins
 
-# Get Covariances (keep in 1E-38 cm^2)                                                                                                                                                                                                      
 statcov = TH2D("analysis1_statcov","analysis1_statcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 systcov = TH2D("analysis1_systcov","analysis1_systcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 normcov = TH2D("analysis1_normcov","analysis1_normcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 totcov = TH2D("analysis1_totcov","analysis1_totcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 
 with open("covariance_statisticUncertainty_analysisI.txt") as f:
     count = 0
     for line in f:
         count += 1
 
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
 
-        statcov.SetBinContent(xi, yi, cov)
+        statcov.SetBinContent(xi + 1, yi + 1, cov)
 
 with open("covariance_shapeSystematics_analysisI.txt") as f:
     count = 0
     for line in f:
         count += 1
 
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
 
         systcov.SetBinContent(xi + 1, yi + 1, cov)
 
 with open("covariance_fluxNormalizationSystematics_analysisI.txt") as f:
     count = 0
     for line in f:
         count += 1
 
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
 
         normcov.SetBinContent(xi + 1, yi + 1, cov)
 
 totcov.Add(systcov)
 totcov.Add(statcov)
 totcov.Add(normcov)
 
+
+data1D = TH1D("datahist","datahist", datapoly.GetNumberOfBins(), 0.0, float(datapoly.GetNumberOfBins()));
+for i in range(datapoly.GetNumberOfBins()):
+    data1D.SetBinContent(i+1, datapoly.GetBinContent(i+1));
+    data1D.SetBinError(i+1, sqrt(totcov.GetBinContent(i+1,i+1))*1E-38)
+
+outfile.cd()
+
+for i, obj in enumerate(histedgeslist):
+    print obj
+
+    hist = TH1D("dataslice_" + str(i), "dataslice_" + str(i), len(obj)-1, array('f',obj))
+    for j in range(hist.GetNbinsX()):
+        hist.SetBinContent(j+1, histxseclist[i][j])
+
+    hist.GetXaxis().SetRangeUser(obj[0], obj[len(obj)-2])
+    hist.Draw("HIST")
+    gPad.Update()
+
+    hist.SetNameTitle("dataslice_" + str(i),"dataslice_" + str(i))
+    hist.Write()
+
+
 outfile.cd()
+datahist.Write()
+counthist.Write()
+maphist.Write()
+datapoly.Write()
+data1D.Write()
 statcov.Write()
 systcov.Write()
 totcov.Write()
 normcov.Write()
 
 
 
 
 # ANALYSIS II
 #______________________________
 xedge   =  [0.2, 0.35, 0.5, 0.65, 0.8, 0.95, 1.1, 1.25, 1.5, 2.0, 3.0, 5.0, 30.0]
 yedge   =  [0.6, 0.7, 0.8, 0.85, 0.9, 0.925, 0.95, 0.975, 1.0]
 
 datahist = TH2D("analysis2_data","analysis2_data",
                 len(xedge)-1, array('f',xedge),
                 len(yedge)-1, array('f',yedge))
 
 maphist = datahist.Clone("analysis2_map")
 maphist.SetTitle("analysis2_map")
 
 counthist = datahist.Clone("analysis2_entrycount")
 
 # Get Data Entries
 entries = []
 count = 0
 with open("rps_crossSection_analysis2.txt") as f:
     for line in f:
         count += 1
 
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         ibin = int(   data[0]  ) + 1
         xval = GetMiddle( data[2] )
         yval = GetMiddle( data[1] )
         xsec = float( data[3]  ) * 1E-38
 
         datahist.Fill(xval, yval, xsec)
         maphist.Fill(xval, yval, ibin)
            
         counthist.Fill(xval, yval, 1.0)
 
      #   print ibin, "Map Value"
         
 # Get N Bins
 nbins = int(maphist.GetMaximum())
 print "NBins I = ", nbins
 
 # Get Covariances (keep in 1E-38 cm^2)
 statcov = TH2D("analysis2_statcov","analysis2_statcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 systcov = TH2D("analysis2_systcov","analysis2_systcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 normcov = TH2D("analysis2_normcov","analysis2_normcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 totcov = TH2D("analysis2_totcov","analysis2_totcov", nbins, 0.0, float(nbins), nbins, 0.0, float(nbins));
 
 with open("rps_statsCov_analysis2.txt") as f:
     count = 0
     for line in f:
         count += 1
         
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
 
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
 
-        statcov.SetBinContent(xi, yi, cov)
+        statcov.SetBinContent(xi + 1, yi + 1, cov)
 
 with open("rps_systCov_analysis2.txt") as f:
     count = 0
     for line in f:
         count += 1
         
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
         
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
         
         systcov.SetBinContent(xi + 1, yi + 1, cov)
 
 with open("rps_fluxNormCov_analysis2.txt") as f:
     count = 0
     for line in f:
         count += 1
         
         if (count < 4): continue
         data = line.strip().split("|")
         if (len(data) < 1): continue
         
         xi, yi = GetIndex(data[0])
         cov    = float(data[1])
         
         normcov.SetBinContent(xi + 1, yi + 1, cov)
         
 totcov.Add(systcov)
 totcov.Add(statcov)
 totcov.Add(normcov)
 
 outfile.cd()
 datahist.Write()
 maphist.Write()
 counthist.Write()
 statcov.Write()
 systcov.Write()
 totcov.Write()    
 normcov.Write()    
 
 
 
 
 #  LocalWords:  xval
diff --git a/data/T2K/CC0pi/rps_systCov_analysis2.txt b/data/T2K/CC0pi/rps_systCov_analysis2.txt
index c5742a2..3c6d968 100644
--- a/data/T2K/CC0pi/rps_systCov_analysis2.txt
+++ b/data/T2K/CC0pi/rps_systCov_analysis2.txt
@@ -1,9219 +1,9219 @@
 Units: cross-section (10^-38 cm2/(nucleon x GeV))
 
 row (bin i) - column (bin j) | sigma_i x sigma_j x rho_ij 
 0 - 0 | 0.01032782641
 0 - 1 | 0.0108180208299
 0 - 2 | 0.00786964606803
 0 - 3 | 0.00193139030968
 0 - 4 | 0.00024987106812
 0 - 5 | 0.000199263562451
 0 - 6 | -5.61197638164e-05
 0 - 7 | -1.04371850562e-05
 0 - 8 | 0.0
 0 - 9 | 0.0
 0 - 10 | 0.0
 0 - 11 | 0.0
 0 - 12 | 0.00725724234117
 0 - 13 | 0.00925039953685
 0 - 14 | 0.00701414334472
 0 - 15 | 0.00196275612097
 0 - 16 | 0.00218592771666
 0 - 17 | 0.000526274761454
 0 - 18 | 0.000118864327899
 0 - 19 | 0.000153699768568
 0 - 20 | -1.06059542869e-05
 0 - 21 | 0.0
 0 - 22 | 0.0
 0 - 23 | 0.0
 0 - 24 | 0.00762330621865
 0 - 25 | 0.00936702233237
 0 - 26 | 0.00734724411651
 0 - 27 | 0.0026991733176
 0 - 28 | 0.00258441597314
 0 - 29 | 0.00197362259173
 0 - 30 | 0.000473234066476
 0 - 31 | 0.000320513316156
 0 - 32 | -0.000948168810462
 0 - 33 | -0.000136434280686
 0 - 34 | 0.0
 0 - 35 | 0.0
 0 - 36 | 0.00857885443639
 0 - 37 | 0.0100386068366
 0 - 38 | 0.00823549177393
 0 - 39 | 0.00725690539939
 0 - 40 | 0.00324561803762
 0 - 41 | 0.00246960104105
 0 - 42 | 0.00128498202076
 0 - 43 | 0.00077631261023
 0 - 44 | -0.000338015547979
 0 - 45 | -0.000765836740289
 0 - 46 | 0.0
 0 - 47 | 0.0
 0 - 48 | 0.00807993387852
 0 - 49 | 0.00616382006363
 0 - 50 | 0.00742085943667
 0 - 51 | 0.00531037922662
 0 - 52 | 0.00404220571018
 0 - 53 | 0.00535248707498
 0 - 54 | 0.00131424253197
 0 - 55 | 0.0222488557125
 0 - 56 | 0.000743196781925
 0 - 57 | -4.39992678139e-05
 0 - 58 | 1.67500068122e-07
 0 - 59 | 0.0
 0 - 60 | 0.00757011500512
 0 - 61 | 0.00279485588595
 0 - 62 | 0.000574069419969
 0 - 63 | -0.00186754485194
 0 - 64 | -0.0015099728354
 0 - 65 | 0.00424116677819
 0 - 66 | 0.00470429596863
 0 - 67 | 0.00197113830862
 0 - 68 | 0.00102743617456
 0 - 69 | -8.9502972186e-05
 0 - 70 | -3.87039978083e-05
 0 - 71 | 0.0
 0 - 72 | 0.00626571121633
 0 - 73 | 0.0101652144923
 0 - 74 | 0.0152565774931
 0 - 75 | 0.0172984228592
 0 - 76 | 0.0144494146074
 0 - 77 | 0.00215971301558
 0 - 78 | 0.00320018389697
 0 - 79 | 0.00252287353601
 0 - 80 | 0.00146432512511
 0 - 81 | 0.00118290409502
 0 - 82 | 0.000308989244786
 0 - 83 | 3.13326041213e-07
 0 - 84 | 0.00229149359019
 0 - 85 | 0.00481620895723
 0 - 86 | 0.00473625865517
 0 - 87 | 0.006340450537
 0 - 88 | 0.00447960875436
 0 - 89 | 0.000906874287803
 0 - 90 | 0.00230199524518
 0 - 91 | 0.00254598026848
 0 - 92 | 0.00172735378144
 0 - 93 | 0.00125301107251
 0 - 94 | 0.00104598311201
 0 - 95 | 3.60236316688e-05
 1 - 0 | 0.0108180208299
 1 - 1 | 0.0145778273894
 1 - 2 | 0.0090820202126
 1 - 3 | 0.00248932537785
 1 - 4 | 0.000543518499895
 1 - 5 | 0.000345274800472
 1 - 6 | 2.39035772153e-05
 1 - 7 | 2.08810767598e-05
 1 - 8 | 0.0
 1 - 9 | 0.0
 1 - 10 | 0.0
 1 - 11 | 0.0
 1 - 12 | 0.00830431957504
 1 - 13 | 0.0114178972261
 1 - 14 | 0.00820267464135
 1 - 15 | 0.00278787478704
 1 - 16 | 0.0025782770829
 1 - 17 | 0.000860617988881
 1 - 18 | 0.000324911663803
 1 - 19 | 0.00024920507364
 1 - 20 | 1.62389166501e-05
 1 - 21 | 0.0
 1 - 22 | 0.0
 1 - 23 | 0.0
 1 - 24 | 0.00880773826827
 1 - 25 | 0.011494512972
 1 - 26 | 0.00888362476058
 1 - 27 | 0.00387500625896
 1 - 28 | 0.00326007668979
 1 - 29 | 0.00238345177095
 1 - 30 | 0.00092106383001
 1 - 31 | 0.000569742762073
 1 - 32 | -0.000936303030456
 1 - 33 | -0.00014345730992
 1 - 34 | 0.0
 1 - 35 | 0.0
 1 - 36 | 0.00957049485976
 1 - 37 | 0.0118402794482
 1 - 38 | 0.00962235818452
 1 - 39 | 0.00812396116569
 1 - 40 | 0.0040870865094
 1 - 41 | 0.00309052571364
 1 - 42 | 0.0019290717455
 1 - 43 | 0.00127901795903
 1 - 44 | -0.000118396593961
 1 - 45 | -0.000825387156266
 1 - 46 | 0.0
 1 - 47 | 0.0
 1 - 48 | 0.00900812997902
 1 - 49 | 0.00818637462594
 1 - 50 | 0.00926080489665
 1 - 51 | 0.00671978297538
 1 - 52 | 0.00515235250991
 1 - 53 | 0.00617448367916
 1 - 54 | 0.00206233946089
 1 - 55 | 0.021253284664
 1 - 56 | 0.0011473662762
 1 - 57 | 0.000102529425147
 1 - 58 | 1.54693203685e-05
 1 - 59 | 0.0
 1 - 60 | 0.00864535454908
 1 - 61 | 0.00491304299721
 1 - 62 | 0.00334721030457
 1 - 63 | 0.000647558077231
 1 - 64 | 0.000368887789053
 1 - 65 | 0.00514142752885
 1 - 66 | 0.00546268144522
 1 - 67 | 0.00274657032443
 1 - 68 | 0.00167395868741
 1 - 69 | 0.000224982899631
 1 - 70 | 2.47553656086e-05
 1 - 71 | 0.0
 1 - 72 | 0.0072260698718
 1 - 73 | 0.0117721993042
 1 - 74 | 0.0159759563853
 1 - 75 | 0.0172867507994
 1 - 76 | 0.0145989538982
 1 - 77 | 0.00359663809602
 1 - 78 | 0.00414500797315
 1 - 79 | 0.00357508857343
 1 - 80 | 0.00235942944117
 1 - 81 | 0.0017191806711
 1 - 82 | 0.000490638824414
 1 - 83 | 2.12561622041e-06
 1 - 84 | 0.0030850025486
 1 - 85 | 0.00612857737993
 1 - 86 | 0.00601995008058
 1 - 87 | 0.00723738364666
 1 - 88 | 0.00515742562265
 1 - 89 | 0.00203672925602
 1 - 90 | 0.00321652691664
 1 - 91 | 0.00343058166403
 1 - 92 | 0.00265928243105
 1 - 93 | 0.00203462625572
 1 - 94 | 0.00152840995187
 1 - 95 | 6.10118531234e-05
 2 - 0 | 0.00786964606803
 2 - 1 | 0.0090820202126
 2 - 2 | 0.00797110120867
 2 - 3 | 0.00203526682356
 2 - 4 | 0.000475647333105
 2 - 5 | 0.000277339726086
 2 - 6 | 8.06402635155e-06
 2 - 7 | 4.74473389075e-06
 2 - 8 | 0.0
 2 - 9 | 0.0
 2 - 10 | 0.0
 2 - 11 | 0.0
 2 - 12 | 0.00599770253652
 2 - 13 | 0.00721400229273
 2 - 14 | 0.00628016178814
 2 - 15 | 0.00211595635276
 2 - 16 | 0.00192482772257
 2 - 17 | 0.000673891083816
 2 - 18 | 0.000264372487888
 2 - 19 | 0.000198611516928
 2 - 20 | 1.13431953358e-05
 2 - 21 | 0.0
 2 - 22 | 0.0
 2 - 23 | 0.0
 2 - 24 | 0.00637550053162
 2 - 25 | 0.00727272495208
 2 - 26 | 0.00644467632049
 2 - 27 | 0.00271235453541
 2 - 28 | 0.00236091168401
 2 - 29 | 0.00184081754738
 2 - 30 | 0.000690646784464
 2 - 31 | 0.000464324733051
 2 - 32 | -0.000712200603335
 2 - 33 | -0.000114446249989
 2 - 34 | 0.0
 2 - 35 | 0.0
 2 - 36 | 0.00715442083662
 2 - 37 | 0.00772043448083
 2 - 38 | 0.0070146157462
 2 - 39 | 0.00589903669955
 2 - 40 | 0.00299458976578
 2 - 41 | 0.00224012088209
 2 - 42 | 0.00134154280523
 2 - 43 | 0.00100825719067
 2 - 44 | -7.67605804839e-05
 2 - 45 | -0.000665592533033
 2 - 46 | 0.0
 2 - 47 | 0.0
 2 - 48 | 0.00675823989816
 2 - 49 | 0.00500914823664
 2 - 50 | 0.00628367329594
 2 - 51 | 0.00462982918735
 2 - 52 | 0.00367652404787
 2 - 53 | 0.00434811509019
 2 - 54 | 0.0014494710316
 2 - 55 | 0.0176846269943
 2 - 56 | 0.000926893691946
 2 - 57 | 9.57296915295e-05
 2 - 58 | 1.24033586313e-05
 2 - 59 | 0.0
 2 - 60 | 0.006444257335
 2 - 61 | 0.00276724267823
 2 - 62 | 0.00163662686412
 2 - 63 | -0.000248290501065
 2 - 64 | -0.000222544588559
 2 - 65 | 0.00364362981625
 2 - 66 | 0.00389739988712
 2 - 67 | 0.00207876795473
 2 - 68 | 0.00131082601607
 2 - 69 | 0.000235969443513
 2 - 70 | 2.02931363556e-05
 2 - 71 | 0.0
 2 - 72 | 0.00539105506912
 2 - 73 | 0.0078430203291
 2 - 74 | 0.011521647503
 2 - 75 | 0.0130743357289
 2 - 76 | 0.0106054649129
 2 - 77 | 0.00220009254348
 2 - 78 | 0.00289380096499
 2 - 79 | 0.00241431422527
 2 - 80 | 0.00177146812115
 2 - 81 | 0.00148459386456
 2 - 82 | 0.000490915534417
 2 - 83 | 1.63135619153e-06
 2 - 84 | 0.00225565245924
 2 - 85 | 0.00392170889588
 2 - 86 | 0.00392191373561
 2 - 87 | 0.00523790953475
 2 - 88 | 0.00362181112298
 2 - 89 | 0.00120977448322
 2 - 90 | 0.00212668159646
 2 - 91 | 0.00228214810817
 2 - 92 | 0.00183276394893
 2 - 93 | 0.00162944691279
 2 - 94 | 0.00162098262583
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 95 - 34 | 0.0
 95 - 35 | 0.0
 95 - 36 | -1.95088871282e-05
 95 - 37 | -3.34816128694e-05
 95 - 38 | 0.000107008386367
 95 - 39 | 3.24910968683e-05
 95 - 40 | 5.72253265754e-05
 95 - 41 | 4.35407012771e-05
 95 - 42 | 4.91817638905e-05
 95 - 43 | 5.55900666221e-05
 95 - 44 | 3.80667280221e-05
 95 - 45 | 1.12068143166e-05
 95 - 46 | 0.0
 95 - 47 | 0.0
 95 - 48 | -2.08572846028e-05
 95 - 49 | 3.17250783299e-05
 95 - 50 | 7.2409123562e-05
 95 - 51 | 7.52757130931e-05
 95 - 52 | 6.6851230661e-05
 95 - 53 | 1.10099684471e-05
 95 - 54 | 8.2126045507e-05
 95 - 55 | -0.000243078458657
 95 - 56 | 5.3057782944e-05
 95 - 57 | 2.59247868768e-05
 95 - 58 | 2.24079843343e-06
 95 - 59 | 0.0
 95 - 60 | -3.82050956291e-06
 95 - 61 | 9.36902058897e-05
 95 - 62 | 0.000214110947224
 95 - 63 | 0.000240328677094
 95 - 64 | 0.000184679655452
 95 - 65 | 4.26977848969e-05
 95 - 66 | 2.14313544983e-05
 95 - 67 | 7.7160007243e-05
 95 - 68 | 8.06542236069e-05
 95 - 69 | 5.36014107145e-05
 95 - 70 | 1.02698110922e-05
 95 - 71 | 0.0
 95 - 72 | 3.84341481566e-06
 95 - 73 | -9.37306132021e-05
 95 - 74 | -0.00014860086963
 95 - 75 | -0.000180062640131
 95 - 76 | -0.00017732341192
 95 - 77 | 7.9135858054e-05
 95 - 78 | 5.8224799959e-05
 95 - 79 | 6.70456790903e-05
 95 - 80 | 0.00010529013493
 95 - 81 | 8.19292811922e-05
 95 - 82 | 3.81995800147e-05
 95 - 83 | 2.15735747227e-07
 95 - 84 | 6.93986850936e-05
 95 - 85 | -1.52063722868e-05
 95 - 86 | 2.01089179579e-05
 95 - 87 | -2.488585058e-06
 95 - 88 | -7.77351387876e-07
 95 - 89 | 7.62483772376e-05
 95 - 90 | 3.48611441228e-05
 95 - 91 | 2.84236057841e-05
 95 - 92 | 6.94114570798e-05
 95 - 93 | 0.000105596750406
 95 - 94 | 0.000148832702583
 95 - 95 | 9.53334376027e-06
diff --git a/src/ANL/ANL_CCQE_Evt_1DQ2_nu.cxx b/src/ANL/ANL_CCQE_Evt_1DQ2_nu.cxx
index b6bc1de..53b5b17 100755
--- a/src/ANL/ANL_CCQE_Evt_1DQ2_nu.cxx
+++ b/src/ANL/ANL_CCQE_Evt_1DQ2_nu.cxx
@@ -1,160 +1,160 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "ANL_CCQE_Evt_1DQ2_nu.h"
 
 //********************************************************************
 ANL_CCQE_Evt_1DQ2_nu::ANL_CCQE_Evt_1DQ2_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "ANL CCQ2 Event Rate 1DQ2 nu sample. \n" \
                         "Target: D2 \n" \
                         "Flux:  \n" \
                         "Signal:  \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("Q^{2}_{CCQE} (GeV^{2})");
   fSettings.SetYTitle("Number of events");
   fSettings.SetAllowedTypes("EVT/SHAPE/DIAG", "EVT/SHAPE/DIAG/Q2CORR/MASK");
   fSettings.SetEnuRange(0.0, 6.0);
   fSettings.DefineAllowedTargets("D,H");
 
   // plot information
   fSettings.SetTitle("ANL #nu_mu CCQE");
   fSettings.DefineAllowedSpecies("numu");
 
   // Hadronic Cut Info
   if (fSettings.Found("name", "PRL31")) {
 
     fSettings.SetDataInput(  FitPar::GetDataBase() + "ANL/ANL_CCQE_Data_PRL31_844.root;ANL_1DQ2_Data" );
     fSettings.SetEnuRange(0.0, 3.0);
 
   } else if (fSettings.Found("name", "PRD16")) {
 
     fSettings.SetDataInput(  FitPar::GetDataBase() + "ANL/ANL_CCQE_Data_PRD16_3103.root;ANL_1DQ2_Data" );
 
   } else {
 
     fSettings.SetDataInput(  FitPar::GetDataBase() + "ANL/ANL_Data_PRD26_537.root;ANL_1DQ2_Data" );
 
   }
 
   // is Q2 Correction applied
   applyQ2correction = fSettings.Found("type", "Q2CORR");
   if (applyQ2correction) {
     fSettings.SetS("q2correction_file",  FitPar::GetDataBase() + "/ANL/ANL_CCQE_Data_PRL31_844.root");
-    fSettings.SetS("q2correction_hist", "ANL_XSec_1DQ2_Correction");
+    fSettings.SetS("q2correction_hist", "ANL_1DQ2_Correction");
   }
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor for shape
   fScaleFactor = 1.0;
 
   // Plot Setup -------------------------------------------------------
   SetDataFromRootFile( fSettings.GetDataInput() );
   SetPoissonErrors();
   SetCovarFromDiagonal();
 
   // Correction Histogram
   if (applyQ2correction) {
 
     // Correction Hist
     CorrectionHist = PlotUtils::GetTH1DFromFile( fSettings.GetS("q2correction_file"),
                      fSettings.GetS("q2correction_hist") );
     SetAutoProcessTH1(CorrectionHist, kCMD_Write);
 
 
     // Make uncorrected MC hist
     fMCHist_NoCorr = (TH1D*) fDataHist->Clone();
     fMCHist_NoCorr->Reset();
     fMCHist_NoCorr->SetNameTitle( (fName + "_NOCORR").c_str(),
                                   (fName + "_NOCORR").c_str());
     SetAutoProcessTH1(fMCHist_NoCorr);
   }
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 }
 
 //********************************************************************
 void ANL_CCQE_Evt_1DQ2_nu::FillEventVariables(FitEvent * event) {
 //********************************************************************
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   // Fill histogram with reconstructed Q2 Distribution
   fXVar = -999.9;
   TLorentzVector Pnu  = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu  = event->GetHMFSParticle(13)->fP;
 
   ThetaMu = Pnu.Vect().Angle(Pmu.Vect());
   fXVar = FitUtils::Q2QErec(Pmu, cos(ThetaMu), 0., true);
 
   GetQ2Box()->fQ2 = fXVar;
   return;
 };
 
 //********************************************************************
 bool ANL_CCQE_Evt_1DQ2_nu::isSignal(FitEvent * event) {
 //********************************************************************
 
   if (!SignalDef::isCCQE(event, 14, EnuMin, EnuMax)) return false;
 
   // Q2 cut
   if (GetQ2Box()->fQ2 <= 0) return false;
 
   return true;
 };
 
 //********************************************************************
 void ANL_CCQE_Evt_1DQ2_nu::FillHistograms() {
 //********************************************************************
 
   if (applyQ2correction) {
     fMCHist_NoCorr->Fill( GetQ2Box()->fQ2, Weight);
 
     if (GetQ2Box()->fQ2 < CorrectionHist->GetXaxis()->GetXmax() &&
         GetQ2Box()->fQ2 > CorrectionHist->GetXaxis()->GetXmin())
       Weight *= CorrectionHist->Interpolate(GetQ2Box()->fQ2);
   }
 
   Measurement1D::FillHistograms();
 
 }
 
 //********************************************************************
 void ANL_CCQE_Evt_1DQ2_nu::ScaleEvents() {
 //********************************************************************
 
   Measurement1D::ScaleEvents();
 
   // Flux unfold our extra histogram
   if (applyQ2correction) {
     if (fMCHist_NoCorr->Integral()) {
       fMCHist_NoCorr->Scale(fDataHist->Integral() / fMCHist_NoCorr->Integral());
     }
   }
 }
diff --git a/src/ANL/ANL_CCQE_XSec_1DEnu_nu.cxx b/src/ANL/ANL_CCQE_XSec_1DEnu_nu.cxx
index 563487c..aca2998 100644
--- a/src/ANL/ANL_CCQE_XSec_1DEnu_nu.cxx
+++ b/src/ANL/ANL_CCQE_XSec_1DEnu_nu.cxx
@@ -1,154 +1,152 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "ANL_CCQE_XSec_1DEnu_nu.h"
 //********************************************************************
 ANL_CCQE_XSec_1DEnu_nu::ANL_CCQE_XSec_1DEnu_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "ANL CCQ2 XSec 1DEnu nu sample. \n" \
                         "Target: D2 \n" \
                         "Flux:  \n" \
                         "Signal:  \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("E_{#nu} (GeV)");
   fSettings.SetYTitle("#sigma(#E_{#nu}) (cm^{2}/neutron)");
   fSettings.SetAllowedTypes("EVT/SHAPE/DIAG", "EVT/SHAPE/DIAG/Q2CORR/MASK");
   fSettings.SetEnuRange(0.0, 6.0);
   fSettings.DefineAllowedTargets("D,H");
 
   // plot information
   fSettings.SetTitle("ANL #nu_mu CCQE");
   fSettings.DefineAllowedSpecies("numu");
 
   // Hadronic Cut Info
   if (fSettings.Found("name", "PRL31")) {
 
     fSettings.SetDataInput(  FitPar::GetDataBase() + "ANL/ANL_CCQE_Data_PRL31_844.root;ANL_1DEnu_Data" );
     fSettings.SetEnuRange(0.0, 3.0);
 
   } else {
 
     fSettings.SetDataInput(  FitPar::GetDataBase() + "ANL/ANL_CCQE_Data_PRD16_3103.root;ANL_1DEnu_fluxtuned_Data" );
 
   }
 
   // is Q2 Correction applied
   applyQ2correction = fSettings.Found("type", "Q2CORR");
-  if (applyQ2correction) {
-    fSettings.SetS("q2correction_file",  FitPar::GetDataBase() + "/ANL/ANL_CCQE_Data_PRL31_844.root");
-    fSettings.SetS("q2correction_hist", "ANL_XSec_1DQ2_Correction");
-  }
+  fSettings.SetS("q2correction_file",  FitPar::GetDataBase() + "/ANL/ANL_CCQE_Data_PRL31_844.root");
+  fSettings.SetS("q2correction_hist", "ANL_1DQ2_Correction");
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor for shape
   fScaleFactor = (GetEventHistogram()->Integral("width") * 2.0 / 1.0 * 1E-38 / (fNEvents + 0.));
 
   // Plot Setup -------------------------------------------------------
   SetDataFromRootFile( fSettings.GetDataInput() );
   SetCovarFromDiagonal();
 
   // Correction Histogram
   if (applyQ2correction) {
 
     // Correction Hist
     CorrectionHist = PlotUtils::GetTH1DFromFile( fSettings.GetS("q2correction_file"),
                      fSettings.GetS("q2correction_hist") );
     SetAutoProcessTH1(CorrectionHist, kCMD_Write);
 
 
     // Make uncorrected MC hist
     fMCHist_NoCorr = (TH1D*) fDataHist->Clone();
     fMCHist_NoCorr->Reset();
     fMCHist_NoCorr->SetNameTitle( (fName + "_NOCORR").c_str(),
                                   (fName + "_NOCORR").c_str());
     SetAutoProcessTH1(fMCHist_NoCorr);
   }
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 }
 
 //********************************************************************
 void ANL_CCQE_XSec_1DEnu_nu::FillEventVariables(FitEvent *event) {
 //********************************************************************
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   // Get Q2
   double q2qe = 0.0;
   TLorentzVector Pnu  = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu  = event->GetHMFSParticle(13)->fP;
 
   ThetaMu = Pnu.Vect().Angle(Pmu.Vect());
   q2qe = FitUtils::Q2QErec(Pmu, cos(ThetaMu), 0., true);
   Enu_rec = FitUtils::EnuQErec(Pmu, cos(ThetaMu), 0., true);
 
   fXVar = Enu_rec;
   GetQ2Box()->fQ2 = q2qe;
 
   return;
 };
 
 
 //********************************************************************
 bool ANL_CCQE_XSec_1DEnu_nu::isSignal(FitEvent *event) {
 //********************************************************************
   return SignalDef::isCCQE(event, 14, EnuMin, EnuMax);
 };
 
 
 //********************************************************************
 void ANL_CCQE_XSec_1DEnu_nu::FillHistograms() {
 //********************************************************************
 
   if (applyQ2correction) {
     fMCHist_NoCorr->Fill( GetQ2Box()->fQ2, Weight);
 
     if (GetQ2Box()->fQ2 < CorrectionHist->GetXaxis()->GetXmax() &&
         GetQ2Box()->fQ2 > CorrectionHist->GetXaxis()->GetXmin())
       Weight *= CorrectionHist->Interpolate(GetQ2Box()->fQ2);
   }
 
   Measurement1D::FillHistograms();
 }
 
 //********************************************************************
 void ANL_CCQE_XSec_1DEnu_nu::ScaleEvents() {
 //********************************************************************
 
   Measurement1D::ScaleEvents();
 
   // Flux unfold our extra histogram
   if (applyQ2correction) {
     PlotUtils::FluxUnfoldedScaling(fMCHist_NoCorr, GetFluxHistogram(),
                                    GetEventHistogram(), fScaleFactor,
                                    fNEvents);
   }
 
 }
 
diff --git a/src/BNL/BNL_CCQE_Evt_1DQ2_nu.cxx b/src/BNL/BNL_CCQE_Evt_1DQ2_nu.cxx
index 9dfb637..6e91ddb 100755
--- a/src/BNL/BNL_CCQE_Evt_1DQ2_nu.cxx
+++ b/src/BNL/BNL_CCQE_Evt_1DQ2_nu.cxx
@@ -1,148 +1,148 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "BNL_CCQE_Evt_1DQ2_nu.h"
 
 
 //********************************************************************
 BNL_CCQE_Evt_1DQ2_nu::BNL_CCQE_Evt_1DQ2_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "BNL_CCQE_Evt_1DQ2_nu sample. \n" \
                         "Target: D2 \n" \
                         "Flux:  \n" \
                         "Signal:  \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("Q^{2}_{CCQE} (GeV^{2})");
   fSettings.SetYTitle("Number of events");
   fSettings.SetAllowedTypes("EVT/SHAPE/DIAG", "EVT/SHAPE/DIAG/Q2CORR/MASK");
   fSettings.SetEnuRange(0.0, 6.0);
   fSettings.DefineAllowedTargets("D,H");
 
   // plot information
   fSettings.SetTitle("BNL #nu_mu CCQE");
   fSettings.DefineAllowedSpecies("numu");
   fSettings.SetDataInput(  FitPar::GetDataBase() + "BNL/BNL_Data_PRD23_2499.root;BNL_1DQ2_Data");
 
   // is Q2 Correction applied
   applyQ2correction = fSettings.Found("type", "Q2CORR");
   if (applyQ2correction) {
     fSettings.SetS("q2correction_file",  FitPar::GetDataBase() + "ANL/ANL_CCQE_Data_PRL31_844.root");
-    fSettings.SetS("q2correction_hist", "ANL_XSec_1DQ2_Correction");
+    fSettings.SetS("q2correction_hist", "ANL_1DQ2_Correction");
   }
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor for shape
   fScaleFactor = 1.0;
 
   // Plot Setup -------------------------------------------------------
   SetDataFromRootFile( fSettings.GetDataInput() );
   SetPoissonErrors();
   SetCovarFromDiagonal();
 
   // Correction Histogram
   if (applyQ2correction) {
 
     // Correction Hist
     CorrectionHist = PlotUtils::GetTH1DFromFile( fSettings.GetS("q2correction_file"),
                      fSettings.GetS("q2correction_hist") );
     SetAutoProcessTH1(CorrectionHist, kCMD_Write);
 
 
     // Make uncorrected MC hist
     fMCHist_NoCorr = (TH1D*) fDataHist->Clone();
     fMCHist_NoCorr->Reset();
     fMCHist_NoCorr->SetNameTitle( (fName + "_NOCORR").c_str(),
                                   (fName + "_NOCORR").c_str());
     SetAutoProcessTH1(fMCHist_NoCorr);
   }
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 }
 
 //********************************************************************
 void BNL_CCQE_Evt_1DQ2_nu::FillEventVariables(FitEvent * event) {
 //********************************************************************
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   // Fill histogram with reconstructed Q2 Distribution
   fXVar = -999.9;
   TLorentzVector Pnu  = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu  = event->GetHMFSParticle(13)->fP;
 
   ThetaMu = Pnu.Vect().Angle(Pmu.Vect());
   fXVar = FitUtils::Q2QErec(Pmu, cos(ThetaMu), 0., true);
 
   GetQ2Box()->fQ2 = fXVar;
   return;
 };
 
 //********************************************************************
 bool BNL_CCQE_Evt_1DQ2_nu::isSignal(FitEvent * event) {
 //********************************************************************
 
   if (!SignalDef::isCCQE(event, 14, EnuMin, EnuMax)) return false;
 
   // Q2 cut
   if (GetQ2Box()->fQ2 <= 0) return false;
 
   return true;
 };
 
 //********************************************************************
 void BNL_CCQE_Evt_1DQ2_nu::FillHistograms() {
 //********************************************************************
 
   if (applyQ2correction) {
     fMCHist_NoCorr->Fill( GetQ2Box()->fQ2, Weight);
 
     if (GetQ2Box()->fQ2 < CorrectionHist->GetXaxis()->GetXmax() &&
         GetQ2Box()->fQ2 > CorrectionHist->GetXaxis()->GetXmin())
       Weight *= CorrectionHist->Interpolate(GetQ2Box()->fQ2);
   }
 
   Measurement1D::FillHistograms();
 
 }
 
 //********************************************************************
 void BNL_CCQE_Evt_1DQ2_nu::ScaleEvents() {
 //********************************************************************
 
   Measurement1D::ScaleEvents();
 
   // Flux unfold our extra histogram
   if (applyQ2correction) {
     if (fMCHist_NoCorr->Integral()) {
       fMCHist_NoCorr->Scale(fDataHist->Integral() / fMCHist_NoCorr->Integral());
     }
   }
 }
 
 
diff --git a/src/BNL/BNL_CCQE_XSec_1DEnu_nu.cxx b/src/BNL/BNL_CCQE_XSec_1DEnu_nu.cxx
index f337515..fad5e99 100644
--- a/src/BNL/BNL_CCQE_XSec_1DEnu_nu.cxx
+++ b/src/BNL/BNL_CCQE_XSec_1DEnu_nu.cxx
@@ -1,147 +1,147 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "BNL_CCQE_XSec_1DEnu_nu.h"
 
 //********************************************************************
 BNL_CCQE_XSec_1DEnu_nu::BNL_CCQE_XSec_1DEnu_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "BNL CCQ2 XSec 1DEnu nu sample. \n" \
                         "Target: D2 \n" \
                         "Flux:  \n" \
                         "Signal:  \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("E_{#nu} (GeV)");
   fSettings.SetYTitle("#sigma(#E_{#nu}) (cm^{2}/neutron)");
   fSettings.SetAllowedTypes("EVT/SHAPE/DIAG", "EVT/SHAPE/DIAG/Q2CORR/MASK");
   fSettings.SetEnuRange(0.0, 6.0);
   fSettings.DefineAllowedTargets("D,H");
 
   // plot information
   fSettings.SetTitle("BNL #nu_mu CCQE");
   fSettings.DefineAllowedSpecies("numu");
   fSettings.SetDataInput(  FitPar::GetDataBase() + "BNL/BNL_Data_PRD23_2499.root;BNL_1DEnu_Data");
 
   // is Q2 Correction applied
   applyQ2correction = fSettings.Found("type", "Q2CORR");
   if (applyQ2correction) {
     fSettings.SetS("q2correction_file",  FitPar::GetDataBase() + "/ANL/ANL_CCQE_Data_PRL31_844.root");
-    fSettings.SetS("q2correction_hist", "ANL_XSec_1DQ2_Correction");
+    fSettings.SetS("q2correction_hist", "ANL_1DQ2_Correction");
   }
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor for shape
   fScaleFactor = (GetEventHistogram()->Integral("width") * (2.0 / 1.0) * 1E-38 / (fNEvents + 0.));
 
   // Plot Setup -------------------------------------------------------
   SetDataFromRootFile( fSettings.GetDataInput() );
   SetCovarFromDiagonal();
 
   // Correction Histogram
   if (applyQ2correction) {
 
     // Correction Hist
     CorrectionHist = PlotUtils::GetTH1DFromFile( fSettings.GetS("q2correction_file"),
                      fSettings.GetS("q2correction_hist") );
     SetAutoProcessTH1(CorrectionHist, kCMD_Write);
 
 
     // Make uncorrected MC hist
     fMCHist_NoCorr = (TH1D*) fDataHist->Clone();
     fMCHist_NoCorr->Reset();
     fMCHist_NoCorr->SetNameTitle( (fName + "_NOCORR").c_str(),
                                   (fName + "_NOCORR").c_str());
     SetAutoProcessTH1(fMCHist_NoCorr);
   }
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 }
 
 //********************************************************************
 void BNL_CCQE_XSec_1DEnu_nu::FillEventVariables(FitEvent *event) {
 //********************************************************************
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   // Get Q2
   double q2qe = 0.0;
   TLorentzVector Pnu  = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu  = event->GetHMFSParticle(13)->fP;
 
   ThetaMu = Pnu.Vect().Angle(Pmu.Vect());
   q2qe = FitUtils::Q2QErec(Pmu, cos(ThetaMu), 0., true);
   Enu_rec = FitUtils::EnuQErec(Pmu, cos(ThetaMu), 0., true);
 
   fXVar = Enu_rec;
   GetQ2Box()->fQ2 = q2qe;
 
   return;
 };
 
 
 //********************************************************************
 bool BNL_CCQE_XSec_1DEnu_nu::isSignal(FitEvent *event) {
 //********************************************************************
   return SignalDef::isCCQE(event, 14, EnuMin, EnuMax);
 };
 
 
 //********************************************************************
 void BNL_CCQE_XSec_1DEnu_nu::FillHistograms() {
 //********************************************************************
 
   if (applyQ2correction) {
     fMCHist_NoCorr->Fill( GetQ2Box()->fQ2, Weight);
 
     if (GetQ2Box()->fQ2 < CorrectionHist->GetXaxis()->GetXmax() &&
         GetQ2Box()->fQ2 > CorrectionHist->GetXaxis()->GetXmin())
       Weight *= CorrectionHist->Interpolate(GetQ2Box()->fQ2);
   }
 
   Measurement1D::FillHistograms();
 }
 
 //********************************************************************
 void BNL_CCQE_XSec_1DEnu_nu::ScaleEvents() {
 //********************************************************************
 
   Measurement1D::ScaleEvents();
 
   // Flux unfold our extra histogram
   if (applyQ2correction) {
     PlotUtils::FluxUnfoldedScaling(fMCHist_NoCorr, GetFluxHistogram(),
                                    GetEventHistogram(), fScaleFactor,
                                    fNEvents);
   }
 
 }
 
 
 
 
diff --git a/src/MINERvA/MINERvA_CCinc_XSec_2DEavq3_nu.cxx b/src/MINERvA/MINERvA_CCinc_XSec_2DEavq3_nu.cxx
index 02710ca..fde3809 100755
--- a/src/MINERvA/MINERvA_CCinc_XSec_2DEavq3_nu.cxx
+++ b/src/MINERvA/MINERvA_CCinc_XSec_2DEavq3_nu.cxx
@@ -1,153 +1,153 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "MINERvA_SignalDef.h"
 
 #include "MINERvA_CCinc_XSec_2DEavq3_nu.h"
 
 
 
 //********************************************************************
 MINERvA_CCinc_XSec_2DEavq3_nu::MINERvA_CCinc_XSec_2DEavq3_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "MINERvA_CCinc_XSec_2DEavq3_nu sample. \n" \
                         "Target: CH \n" \
                         "Flux: MINERvA Medium Energy FHC numu  \n" \
                         "Signal: CC-inclusive with theta < 20deg \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("q_{3} (GeV)");
   fSettings.SetYTitle("E_{avail} (GeV)");
   fSettings.SetZTitle("d^{2}#sigma/dq_{3}dE_{avail} (cm^{2}/GeV^{2})");
   fSettings.SetAllowedTypes("FIX,FREE,SHAPE/FULL,DIAG/MASK", "FIX/FULL");
   fSettings.SetEnuRange(2.0, 6.0);
   fSettings.DefineAllowedTargets("C,H");
 
   // CCQELike plot information
   fSettings.SetTitle("MINERvA_CCinc_XSec_2DEavq3_nu");
 
   fSettings.SetDataInput(  FitPar::GetDataBase() + "/MINERvA/CCEavq3/data_2D.txt" );
   fSettings.SetCovarInput( FitPar::GetDataBase() + "/MINERvA/CCEavq3/covar_2D.txt" );
   fSettings.SetMapInput( FitPar::GetDataBase() + "/MINERvA/CCEavq3/map_2D.txt" );
   fSettings.DefineAllowedSpecies("numu");
 
   hadroncut = FitPar::Config().GetParB("MINERvA_CCinc_XSec_2DEavq3_nu.hadron_cut");
   useq3true = FitPar::Config().GetParB("MINERvA_CCinc_XSec_2DEavq3_nu.useq3true");
   splitMEC_PN_NN = FitPar::Config().GetParB("Modes.split_PN_NN");
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor automatically setup for DiffXSec/cm2/Nucleon
   fScaleFactor = (GetEventHistogram()->Integral("width") * 1E-42 / (fNEvents + 0.)) / this->TotalIntegratedFlux();
 
   // Plot Setup -------------------------------------------------------
   Double_t binx[7] = {0.0, 0.2, 0.3, 0.4, 0.5, 0.6, 0.8};
   Double_t biny[17] = {0.0, 0.02, 0.04, 0.06, 0.08, 0.10, 0.12, 0.14, 0.16, 0.20, 0.25, 0.30, 0.35, 0.40, 0.50, 0.60, 0.80};
   CreateDataHistogram(7, binx, 17, biny);
 
   SetDataValuesFromTextFile( fSettings.GetDataInput() );
   ScaleData(1E-42);
 
   SetMapValuesFromText( fSettings.GetMapInput() );
 
-  SetCholDecompFromTextFile( fSettings.GetCovarInput() );
+  SetCholDecompFromTextFile( fSettings.GetCovarInput(), 67);
   ScaleCovar(1E-16);
 
   StatUtils::SetDataErrorFromCov(fDataHist, fFullCovar, fMapHist, 1E-38);
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 };
 
 //********************************************************************
 void MINERvA_CCinc_XSec_2DEavq3_nu::FillEventVariables(FitEvent *event) {
 //********************************************************************
 
   // Seperate MEC
   if (splitMEC_PN_NN) {
     int npr = 0;
     int nne = 0;
 
     for (UInt_t j = 0; j < event->Npart(); j++) {
       if ((event->PartInfo(j))->fIsAlive) continue;
 
       if (event->PartInfo(j)->fPID == 2212) npr++;
       else if (event->PartInfo(j)->fPID == 2112) nne++;
     }
 
     if (event->Mode == 2 and npr == 1 and nne == 1) {
       event->Mode = 2;
       Mode = 2;
 
     } else if (event->Mode == 2 and npr == 0 and nne == 2) {
       event->Mode = 3;
       Mode = 3;
 
     }
   }
 
   // Set Defaults
   double Eav = -999.9;
   double q3 = -999.9;
 
   // If muon found get kinematics
   FitParticle* muon      = event->GetHMFSParticle(13);
   FitParticle* neutrino  = event->GetNeutrinoIn();
   if (muon && neutrino) {
 
     // Set Q from Muon
     TLorentzVector q = neutrino->fP - muon->fP;
     double q0 = (q.E()) / 1.E3;
     //double q3_true = (q.Vect().Mag())/1.E3;
     double thmu = muon->fP.Vect().Angle(neutrino->fP.Vect());
     double pmu  = muon->fP.Vect().Mag() / 1.E3;
     double emu  = muon->fP.E() / 1.E3;
     double mmu  = muon->fP.Mag() / 1.E3;
 
     // Get Enu Rec
     double enu_rec = emu + q0;
 
     // Set Q2 QE
     double q2qe = 2 * enu_rec * (emu - pmu * cos(thmu)) - mmu * mmu;
 
     // Calc Q3 from Q2QE and EnuTree
     q3 = sqrt(q2qe + q0 * q0);
 
     // Get Eav too
     Eav = FitUtils::GetErecoil_MINERvA_LowRecoil(event) / 1.E3;
   }
 
   // Set Hist Variables
   fXVar = q3;
   fYVar = Eav;
 
   return;
 }
 
 //********************************************************************
 bool MINERvA_CCinc_XSec_2DEavq3_nu::isSignal(FitEvent *event) {
 //********************************************************************
   return SignalDef::isCCincLowRecoil_MINERvA(event, EnuMin, EnuMax);
 }
diff --git a/src/Reweight/NUISANCEWeightCalcs.cxx b/src/Reweight/NUISANCEWeightCalcs.cxx
index 1f3ddf2..4dac738 100644
--- a/src/Reweight/NUISANCEWeightCalcs.cxx
+++ b/src/Reweight/NUISANCEWeightCalcs.cxx
@@ -1,329 +1,349 @@
 #include "NUISANCEWeightCalcs.h"
 
 ModeNormCalc::ModeNormCalc(){
   fNormRES = 1.0;
 }
 
 double ModeNormCalc::CalcWeight(BaseFitEvt* evt) {
   FitEvent* fevt = static_cast<FitEvent*>(evt);
   int mode = abs(fevt->Mode);
   double w = 1.0;
   
   if (mode == 11 or mode == 12 or mode == 13){
     w *= fNormRES;
   } 
 
   return w;
 }
 
 void ModeNormCalc::SetDialValue(std::string name, double val) {
   SetDialValue(Reweight::ConvDial(name, kCUSTOM), val);
 }
 
 void ModeNormCalc::SetDialValue(int rwenum, double val) {
 
   int curenum = rwenum % 1000;
 
   // Check Handled                                                                                                                                                                                                                    
   if (!IsHandled(curenum)) return;
   if (curenum == kModeNorm_NormRES) fNormRES = val;
 }
 
 bool ModeNormCalc::IsHandled(int rwenum) {
 
   int curenum = rwenum % 1000;
   switch (curenum) {
   case kModeNorm_NormRES: return true;
   default:  return false;
   }
 }
 
 
 
 
 
 
 
 GaussianModeCorr::GaussianModeCorr() {
 
 	// Init
 	fApply_CCQE = false;
 	fGausVal_CCQE[kPosNorm] = 0.0;
 	fGausVal_CCQE[kPosTilt] = 0.0;
 	fGausVal_CCQE[kPosPq0]  = 1.0;
 	fGausVal_CCQE[kPosWq0]  = 1.0;
 	fGausVal_CCQE[kPosPq3]  = 1.0;
 	fGausVal_CCQE[kPosWq3]  = 1.0;
 
 	fApply_2p2h = false;
 	fGausVal_2p2h[kPosNorm] = 0.0;
 	fGausVal_2p2h[kPosTilt]    = 0.0;
 	fGausVal_2p2h[kPosPq0]  = 1.0;
 	fGausVal_2p2h[kPosWq0]  = 1.0;
 	fGausVal_2p2h[kPosPq3]  = 1.0;
 	fGausVal_2p2h[kPosWq3]  = 1.0;
 
 	fApply_2p2h_PPandNN = false;
 	fGausVal_2p2h_PPandNN[kPosNorm] = 0.0;
 	fGausVal_2p2h_PPandNN[kPosTilt] = 0.0;
 	fGausVal_2p2h_PPandNN[kPosPq0]  = 1.0;
 	fGausVal_2p2h_PPandNN[kPosWq0]  = 1.0;
 	fGausVal_2p2h_PPandNN[kPosPq3]  = 1.0;
 	fGausVal_2p2h_PPandNN[kPosWq3]  = 1.0;
 
 	fApply_2p2h_NP = false;
 	fGausVal_2p2h_NP[kPosNorm] = 0.0;
 	fGausVal_2p2h_NP[kPosTilt] = 0.0;
 	fGausVal_2p2h_NP[kPosPq0]  = 1.0;
 	fGausVal_2p2h_NP[kPosWq0]  = 1.0;
 	fGausVal_2p2h_NP[kPosPq3]  = 1.0;
 	fGausVal_2p2h_NP[kPosWq3]  = 1.0;
 
 	fApply_CC1pi = false;
 	fGausVal_CC1pi[kPosNorm] = 0.0;
 	fGausVal_CC1pi[kPosTilt] = 0.0;
 	fGausVal_CC1pi[kPosPq0]  = 1.0;
 	fGausVal_CC1pi[kPosWq0]  = 1.0;
 	fGausVal_CC1pi[kPosPq3]  = 1.0;
 	fGausVal_CC1pi[kPosWq3]  = 1.0;
 
+	fAllowSuppression = false;
+
 	fDebugStatements = FitPar::Config().GetParB("GaussianModeCorr_DEBUG");
 
 }
 
 double GaussianModeCorr::CalcWeight(BaseFitEvt* evt) {
 
 	FitEvent* fevt = static_cast<FitEvent*>(evt);
 	double rw_weight = 1.0;
 
 	// Get Neutrino
 	if (!fevt->Npart()){
 	  THROW("NO particles found in stack!");
 	}
 	FitParticle* pnu = fevt->PartInfo(0);
 	if (!pnu){
 	  THROW("NO Starting particle found in stack!");
 	}
 	int pdgnu = pnu->fPID;
 
 	FitParticle* plep = fevt->GetHMFSParticle(abs(pdgnu) - 1);
 	if (!plep) return 1.0;
 
 	TLorentzVector q = pnu->fP - plep->fP;
 
 	// Extra q0,q3
 	double q0 = fabs(q.E()) / 1.E3;
 	double q3 = fabs(q.Vect().Mag()) / 1.E3;
 
 	int initialstate = -1; // Undef
 	if (abs(fevt->Mode) == 2) {
 
 		int npr = 0;
 		int nne = 0;
 
 		for (UInt_t j = 0; j < fevt->Npart(); j++) {
 			if ((fevt->PartInfo(j))->fIsAlive) continue;
 
 			if (fevt->PartInfo(j)->fPID == 2212) npr++;
 			else if (fevt->PartInfo(j)->fPID == 2112) nne++;
 		}
 		// std::cout << "PN State = " << npr << " " << nne << std::endl;
 
 		if (fevt->Mode == 2 and npr == 1 and nne == 1) {
 			initialstate = 2;
 
 		} else if (fevt->Mode == 2 and ((npr == 0 and nne == 2) or (npr == 2 and nne == 0)))  {
 			initialstate = 1;
 		}
 	}
 
 // std::cout << "Got q0 q3 = " << q0 << " " << q3 << std::endl;
 
 // Apply weighting
 	if (fApply_CCQE and abs(fevt->Mode) == 1) {
 		if (fDebugStatements) std::cout << "Getting CCQE Weight" << std::endl;
 		double g = GetGausWeight(q0, q3, fGausVal_CCQE);
 		if (g < 1.0) g = 1.0;
 		rw_weight *= g;
 	}
 
 	if (fApply_2p2h and abs(fevt->Mode) == 2) {
 		if (fDebugStatements) std::cout << "Getting 2p2h Weight" << std::endl;
 		rw_weight *= GetGausWeight(q0, q3, fGausVal_2p2h);
 	}
 
 	if (fApply_2p2h_PPandNN and abs(fevt->Mode) == 2 and initialstate == 1) {
 		if (fDebugStatements) std::cout << "Getting 2p2h PPandNN Weight" << std::endl;
 		rw_weight *= GetGausWeight(q0, q3, fGausVal_2p2h_PPandNN);
 	}
 
 	if (fApply_2p2h_NP and abs(fevt->Mode) == 2 and initialstate == 2) {
 		if (fDebugStatements) std::cout << "Getting 2p2h NP Weight" << std::endl;
 		rw_weight *= GetGausWeight(q0, q3, fGausVal_2p2h_NP);
 	}
 
 	if (fApply_CC1pi and abs(fevt->Mode) >= 11 and abs(fevt->Mode) <= 13) {
 		if (fDebugStatements) std::cout << "Getting CC1pi Weight" << std::endl;
 		rw_weight *= GetGausWeight(q0, q3, fGausVal_CC1pi);
 	}
 
 
+
+
 	// if (fDebugStatements) std::cout << "Returning Weight " << rw_weight << std::endl;
 	return rw_weight;
 }
 
 double GaussianModeCorr::GetGausWeight(double q0, double q3, double vals[]) {
 
 	// // CCQE Without Suppression
 	// double Norm = 4.82788679036;
 	// double Tilt = 2.3501416116;
 	// double Pq0  = 0.363964889702;
 	// double Wq0  = 0.133976806938;
 	// double Pq3  = 0.431769740224;
 	// double Wq3  = 0.207666663434;
 
 	// // Also add for CCQE at the end
 	// return (w > 1.0) ? w : 1.0;
 
 	// // 2p2h with suppression
 	// double Norm = 15.967;
 	// double Tilt = -0.455655;
 	// double Pq0  = 0.214598;
 	// double Wq0  = 0.0291061;
 	// double Pq3  = 0.480194;
 	// double Wq3  = 0.134588;
 
 
 	double Norm = vals[kPosNorm];
 	double Tilt = vals[kPosTilt];
 	double Pq0  = vals[kPosPq0];
 	double Wq0  = vals[kPosWq0];
 	double Pq3  = vals[kPosPq3];
 	double Wq3  = vals[kPosWq3];
 
 	double a = cos(Tilt) * cos(Tilt) / (2 * Wq0 * Wq0);
 	a += sin(Tilt) * sin(Tilt) / (2 * Wq3 * Wq3);
 
 	double b = - sin(2 * Tilt) / (4 * Wq0 * Wq0);
 	b += sin(2 * Tilt) / (4 * Wq3 * Wq3);
 
 	double c = sin(Tilt) * sin(Tilt) / (2 * Wq0 * Wq0);
 	c += cos(Tilt) * cos(Tilt) / (2 * Wq3 * Wq3);
 
 	double w = Norm;
 	w *= exp(-a  * (q0 - Pq0) * (q0 - Pq0));
 	w *= exp(+2.0 * b * (q0 - Pq0) * (q3 - Pq3));
 	w *= exp(-c  * (q3 - Pq3) * (q3 - Pq3));
 
 	if (fDebugStatements) {
 
 		std::cout << "Applied Tilt " << Tilt << " " << cos(Tilt) << " " << sin(Tilt) << std::endl;
 		std::cout << "abc = " << a << " " << b << " " << c << std::endl;
 		std::cout << "Returning " << Norm << " " << Pq0 << " " << Wq0 << " " << Pq3 << " " << Wq3 << " " << w << std::endl;
 
 	}
 
 
+	//	if (w != w || isnan(w)){
+	//          w = 0.0;
+	//	}
+
+	if (w < 1.0){
+	  //std::cout << "REMOVING SUPRPESSION" << std::endl;
+	  w = 1.0;
+	} //else {
+	  //	  std::cout << "W = " << w << std::endl;
+	//	}
+	
 	return w;
 }
 
 
 void GaussianModeCorr::SetDialValue(std::string name, double val) {
 	SetDialValue(Reweight::ConvDial(name, kCUSTOM), val);
 }
 
 void GaussianModeCorr::SetDialValue(int rwenum, double val) {
 
 	int curenum = rwenum % 1000;
 
 	// Check Handled
 	if (!IsHandled(curenum)) return;
 
 
 	// CCQE Setting
 	for (int i = kGaussianCorr_CCQE_norm; i <= kGaussianCorr_CCQE_Wq3; i++) {
 		if (i == curenum) {
 			int index = i - kGaussianCorr_CCQE_norm;
 			fGausVal_CCQE[index] = val;
 			fApply_CCQE = true;
 		}
 	}
 
 	// 2p2h Setting
 	for (int i = kGaussianCorr_2p2h_norm; i <= kGaussianCorr_2p2h_Wq3; i++) {
 		if (i == curenum) {
 			int index = i - kGaussianCorr_2p2h_norm;
 			fGausVal_2p2h[index] = val;
 			fApply_2p2h = true;
 		}
 	}
 
 	// 2p2h_PPandNN Setting
 	for (int i = kGaussianCorr_2p2h_PPandNN_norm; i <= kGaussianCorr_2p2h_PPandNN_Wq3; i++) {
 		if (i == curenum) {
 			int index = i - kGaussianCorr_2p2h_PPandNN_norm;
 			fGausVal_2p2h_PPandNN[index] = val;
 			fApply_2p2h_PPandNN = true;
 		}
 	}
 
 	// 2p2h_NP Setting
 	for (int i = kGaussianCorr_2p2h_NP_norm; i <= kGaussianCorr_2p2h_NP_Wq3; i++) {
 		if (i == curenum) {
 			int index = i - kGaussianCorr_2p2h_NP_norm;
 			fGausVal_2p2h_NP[index] = val;
 			fApply_2p2h_NP = true;
 		}
 	}
 
 	// CC1pi Setting
 	for (int i = kGaussianCorr_CC1pi_norm; i <= kGaussianCorr_CC1pi_Wq3; i++) {
 		if (i == curenum) {
 			int index = i - kGaussianCorr_CC1pi_norm;
 			fGausVal_CC1pi[index] = val;
 			fApply_CC1pi = true;
 		}
 	}
 
+	if (curenum == kGaussianCorr_AllowSuppression){
+	  fAllowSuppression = (val > 0.5);
+	}
+
 }
 
 bool GaussianModeCorr::IsHandled(int rwenum) {
 
 	int curenum = rwenum % 1000;
 	switch (curenum) {
 	case kGaussianCorr_CCQE_norm:
 	case kGaussianCorr_CCQE_tilt:
 	case kGaussianCorr_CCQE_Pq0:
 	case kGaussianCorr_CCQE_Wq0:
 	case kGaussianCorr_CCQE_Pq3:
 	case kGaussianCorr_CCQE_Wq3:
 	case kGaussianCorr_2p2h_norm:
 	case kGaussianCorr_2p2h_tilt:
 	case kGaussianCorr_2p2h_Pq0:
 	case kGaussianCorr_2p2h_Wq0:
 	case kGaussianCorr_2p2h_Pq3:
 	case kGaussianCorr_2p2h_Wq3:
 	case kGaussianCorr_2p2h_PPandNN_norm:
 	case kGaussianCorr_2p2h_PPandNN_tilt:
 	case kGaussianCorr_2p2h_PPandNN_Pq0:
 	case kGaussianCorr_2p2h_PPandNN_Wq0:
 	case kGaussianCorr_2p2h_PPandNN_Pq3:
 	case kGaussianCorr_2p2h_PPandNN_Wq3:
 	case kGaussianCorr_2p2h_NP_norm:
 	case kGaussianCorr_2p2h_NP_tilt:
 	case kGaussianCorr_2p2h_NP_Pq0:
 	case kGaussianCorr_2p2h_NP_Wq0:
 	case kGaussianCorr_2p2h_NP_Pq3:
 	case kGaussianCorr_2p2h_NP_Wq3:
 	case kGaussianCorr_CC1pi_norm:
 	case kGaussianCorr_CC1pi_tilt:
 	case kGaussianCorr_CC1pi_Pq0:
 	case kGaussianCorr_CC1pi_Wq0:
 	case kGaussianCorr_CC1pi_Pq3:
 	case kGaussianCorr_CC1pi_Wq3:
+	case kGaussianCorr_AllowSuppression:
 
 		return true;
 	default:
 		return false;
 	}
 }
diff --git a/src/Routines/SystematicRoutines.cxx b/src/Routines/SystematicRoutines.cxx
index dd13fda..8e17091 100755
--- a/src/Routines/SystematicRoutines.cxx
+++ b/src/Routines/SystematicRoutines.cxx
@@ -1,1206 +1,1457 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 #include "SystematicRoutines.h"
 
 void SystematicRoutines::Init(){
 
   fInputFile = "";
   fInputRootFile = NULL;
 
   fOutputFile = "";
   fOutputRootFile = NULL;
 
   fCovar  = fCovarFree  = NULL;
   fCorrel = fCorrelFree = NULL;
   fDecomp = fDecompFree = NULL;
 
   fStrategy = "ErrorBands";
   fRoutines.clear();
   fRoutines.push_back("ErrorBands");
 
   fCardFile = "";
 
   fFakeDataInput = "";
 
   fSampleFCN    = NULL;
 
   fAllowedRoutines = ("ErrorBands,PlotLimits");
 
 };
 
 SystematicRoutines::~SystematicRoutines(){
 };
 
 SystematicRoutines::SystematicRoutines(int argc, char* argv[]){
 
   // Initialise Defaults
   Init();
   nuisconfig configuration = Config::Get();
 
   // Default containers
   std::string cardfile = "";
   std::string maxevents = "-1";
   int errorcount = 0;
   int verbocount = 0;
   std::vector<std::string> xmlcmds;
   std::vector<std::string> configargs;
   fNThrows = 250;
   fStartThrows = 0;
   fThrowString = "";
   // Make easier to handle arguments.
   std::vector<std::string> args = GeneralUtils::LoadCharToVectStr(argc, argv);
   ParserUtils::ParseArgument(args, "-c", fCardFile, true);
   ParserUtils::ParseArgument(args, "-o", fOutputFile, false, false);
   ParserUtils::ParseArgument(args, "-n", maxevents, false, false);
   ParserUtils::ParseArgument(args, "-f", fStrategy, false, false);
   ParserUtils::ParseArgument(args, "-d", fFakeDataInput, false, false);
   ParserUtils::ParseArgument(args, "-s", fStartThrows, false, false);
   ParserUtils::ParseArgument(args, "-t", fNThrows, false, false);
   ParserUtils::ParseArgument(args, "-p", fThrowString, false, false);
   ParserUtils::ParseArgument(args, "-i", xmlcmds);
   ParserUtils::ParseArgument(args, "-q", configargs);
   ParserUtils::ParseCounter(args, "e", errorcount);
   ParserUtils::ParseCounter(args, "v", verbocount);
   ParserUtils::CheckBadArguments(args);
 
   // Add extra defaults if none given
   if (fCardFile.empty() and xmlcmds.empty()) {
     ERR(FTL) << "No input supplied!" << std::endl;
     throw;
   }
 
   if (fOutputFile.empty() and !fCardFile.empty()) {
     fOutputFile = fCardFile + ".root";
     ERR(WRN) << "No output supplied so saving it to: " << fOutputFile << std::endl;
 
   } else if (fOutputFile.empty()) {
     ERR(FTL) << "No output file or cardfile supplied!" << std::endl;
     throw;
   }
 
   // Configuration Setup =============================
 
   // Check no comp key is available
   if (Config::Get().GetNodes("nuiscomp").empty()) {
     fCompKey = Config::Get().CreateNode("nuiscomp");
   } else {
     fCompKey = Config::Get().GetNodes("nuiscomp")[0];
   }
 
   if (!fCardFile.empty())   fCompKey.Set("cardfile", fCardFile);
   if (!fOutputFile.empty()) fCompKey.Set("outputfile", fOutputFile);
   if (!fStrategy.empty())   fCompKey.Set("strategy", fStrategy);
 
   // Load XML Cardfile
   configuration.LoadSettings( fCompKey.GetS("cardfile"), "");
 
   // Add Config Args
   for (size_t i = 0; i < configargs.size(); i++) {
     configuration.OverrideConfig(configargs[i]);
   }
   if (maxevents.compare("-1")){
     configuration.OverrideConfig("MAXEVENTS=" + maxevents);
   }
 
   // Finish configuration XML
   configuration.FinaliseSettings(fCompKey.GetS("outputfile") + ".xml");
 
   // Add Error Verbo Lines
   verbocount += Config::GetParI("VERBOSITY");
   errorcount += Config::GetParI("ERROR");
   std::cout << "[ NUISANCE ]: Setting VERBOSITY=" << verbocount << std::endl;
   std::cout << "[ NUISANCE ]: Setting ERROR=" << errorcount << std::endl;
   SETVERBOSITY(verbocount);
   
   // Proper Setup
   if (fStrategy.find("ErrorBands") != std::string::npos ||
       fStrategy.find("MergeErrors") != std::string::npos){
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");    
   }
 
   //  fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
   SetupSystematicsFromXML();
 
   SetupCovariance();
   SetupRWEngine();
   SetupFCN();
   GetCovarFromFCN();
 
   //  Run();
 
   return;
 };
 
 void SystematicRoutines::SetupSystematicsFromXML(){
 
   LOG(FIT) << "Setting up nuismin" << std::endl;
 
   // Setup Parameters ------------------------------------------
   std::vector<nuiskey> parkeys = Config::QueryKeys("parameter");
   if (!parkeys.empty()) {
     LOG(FIT) << "Number of parameters :  " << parkeys.size() << std::endl;
   }
 
   for (size_t i = 0; i < parkeys.size(); i++) {
     nuiskey key = parkeys.at(i);
 
     // Check for type,name,nom
     if (!key.Has("type")) {
       ERR(FTL) << "No type given for parameter " << i << std::endl;
       throw;
     } else if (!key.Has("name")) {
       ERR(FTL) << "No name given for parameter " << i << std::endl;
       throw;
     } else if (!key.Has("nominal")) {
       ERR(FTL) << "No nominal given for parameter " << i << std::endl;
       throw;
     }
 
     // Get Inputs
     std::string partype = key.GetS("type");
     std::string parname = key.GetS("name");
     double parnom  = key.GetD("nominal");
     double parlow  = parnom - 1;
     double parhigh = parnom + 1;
     double parstep = 1;
 
 
     // Override if state not given
     if (!key.Has("state")){
       key.SetS("state","FIX");
     }
 
     std::string parstate = key.GetS("state");
 
     // Extra limits
     if (key.Has("low")) {
       parlow  = key.GetD("low");
       parhigh = key.GetD("high");
       parstep = key.GetD("step");
 
       LOG(FIT) << "Read " << partype << " : "
                << parname << " = "
                << parnom << " : "
                << parlow << " < p < " << parhigh
                << " : " << parstate << std::endl;
     } else {
       LOG(FIT) << "Read " << partype << " : "
                << parname << " = "
                << parnom << " : "
                << parstate << std::endl;
     }
 
     // Run Parameter Conversion if needed
     if (parstate.find("ABS") != std::string::npos) {
       parnom  = FitBase::RWAbsToSigma( partype, parname, parnom  );
       parlow  = FitBase::RWAbsToSigma( partype, parname, parlow  );
       parhigh = FitBase::RWAbsToSigma( partype, parname, parhigh );
       parstep = FitBase::RWAbsToSigma( partype, parname, parstep );
     } else if (parstate.find("FRAC") != std::string::npos) {
       parnom  = FitBase::RWFracToSigma( partype, parname, parnom  );
       parlow  = FitBase::RWFracToSigma( partype, parname, parlow  );
       parhigh = FitBase::RWFracToSigma( partype, parname, parhigh );
       parstep = FitBase::RWFracToSigma( partype, parname, parstep );
     }
 
     // Push into vectors
     fParams.push_back(parname);
 
     fTypeVals[parname]  = FitBase::ConvDialType(partype);;
     fStartVals[parname] = parnom;
     fCurVals[parname]   = parnom;
 
     fErrorVals[parname] = 0.0;
 
     fStateVals[parname]    = parstate;
     bool fixstate = parstate.find("FIX") != std::string::npos;
     fFixVals[parname]      = fixstate;
     fStartFixVals[parname] = fFixVals[parname];
 
     fMinVals[parname]  = parlow;
     fMaxVals[parname]  = parhigh;
     fStepVals[parname] = parstep;
 
   }
 
   // Setup Samples ----------------------------------------------
   std::vector<nuiskey> samplekeys =  Config::QueryKeys("sample");
   if (!samplekeys.empty()) {
     LOG(FIT) << "Number of samples : " << samplekeys.size() << std::endl;
   }
 
   for (size_t i = 0; i < samplekeys.size(); i++) {
     nuiskey key = samplekeys.at(i);
 
     // Get Sample Options
     std::string samplename = key.GetS("name");
     std::string samplefile = key.GetS("input");
 
     std::string sampletype =
       key.Has("type") ? key.GetS("type") : "DEFAULT";
 
     double samplenorm =
       key.Has("norm") ? key.GetD("norm") : 1.0;
 
     // Print out
     LOG(FIT) << "Read sample info " << i << " : "
              << samplename << std::endl
              << "\t\t input -> " << samplefile  << std::endl
              << "\t\t state -> " << sampletype << std::endl
              << "\t\t norm  -> " << samplenorm << std::endl;
 
     // If FREE add to parameters otherwise continue
     if (sampletype.find("FREE") == std::string::npos) {
       continue;
     }
 
     // Form norm dial from samplename + sampletype + "_norm";
     std::string normname = samplename + "_norm";
 
     // Check normname not already present
     if (fTypeVals.find(normname) != fTypeVals.end()) {
       continue;
     }
 
     // Add new norm dial to list if its passed above checks
     fParams.push_back(normname);
 
     fTypeVals[normname] = kNORM;
     fStateVals[normname] = sampletype;
     fCurVals[normname] = samplenorm;
 
     fErrorVals[normname] = 0.0;
 
     fMinVals[normname]  = 0.1;
     fMaxVals[normname]  = 10.0;
     fStepVals[normname] = 0.5;
 
     bool state = sampletype.find("FREE") == std::string::npos;
     fFixVals[normname]      = state;
     fStartFixVals[normname] = state;
   }
 
   // Setup Fake Parameters -----------------------------
   std::vector<nuiskey> fakekeys = Config::QueryKeys("fakeparameter");
   if (!fakekeys.empty()) {
     LOG(FIT) << "Number of fake parameters : " << fakekeys.size() << std::endl;
   }
 
   for (size_t i = 0; i < fakekeys.size(); i++) {
     nuiskey key = fakekeys.at(i);
 
     // Check for type,name,nom
     if (!key.Has("name")) {
       ERR(FTL) << "No name given for fakeparameter " << i << std::endl;
       throw;
     } else if (!key.Has("nom")) {
       ERR(FTL) << "No nominal given for fakeparameter " << i << std::endl;
       throw;
     }
 
     // Get Inputs
     std::string parname = key.GetS("name");
     double parnom  = key.GetD("nom");
 
     // Push into vectors
     fFakeVals[parname] = parnom;
   }
 }
 
 
 /*
   Setup Functions
 */
 //*************************************
 void SystematicRoutines::SetupRWEngine(){
 //*************************************
 
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string name = fParams[i];
     FitBase::GetRW() -> IncludeDial(name, fTypeVals.at(name) );
   }
   UpdateRWEngine(fStartVals);
 
   return;
 }
 
 //*************************************
 void SystematicRoutines::SetupFCN(){
 //*************************************
 
   LOG(FIT)<<"Making the jointFCN"<<std::endl;
   if (fSampleFCN) delete fSampleFCN;
   fSampleFCN = new JointFCN(fOutputRootFile);
   SetFakeData();
 
   return;
 }
 
 
 //*************************************
 void SystematicRoutines::SetFakeData(){
 //*************************************
 
   if (fFakeDataInput.empty()) return;
 
   if (fFakeDataInput.compare("MC") == 0){
 
     LOG(FIT)<<"Setting fake data from MC starting prediction." <<std::endl;
     UpdateRWEngine(fFakeVals);
 
     FitBase::GetRW()->Reconfigure();
     fSampleFCN->ReconfigureAllEvents();
     fSampleFCN->SetFakeData("MC");
 
     UpdateRWEngine(fCurVals);
 
     LOG(FIT)<<"Set all data to fake MC predictions."<<std::endl;
   } else {
     fSampleFCN->SetFakeData(fFakeDataInput);
   }
 
   return;
 }
 
 //*****************************************
 void SystematicRoutines::GetCovarFromFCN(){
 //*****************************************
   LOG(FIT) << "Loading ParamPull objects from FCN to build covar" << std::endl;
 
   // Make helperstring
   std::ostringstream helperstr;
 
   // Keep track of what is being thrown
   std::map<std::string, std::string> dialthrowhandle;
 
   // Get Covariance Objects from FCN
   std::list<ParamPull*> inputpulls = fSampleFCN->GetPullList();
   for (PullListConstIter iter = inputpulls.begin();
        iter != inputpulls.end(); iter++){
 
     ParamPull* pull = (*iter);
 
     if (pull->GetType().find("THROW")){
       fInputThrows.push_back(pull);
       fInputCovar.push_back(pull->GetFullCovarMatrix());
       fInputDials.push_back(pull->GetDataHist());
 
       LOG(FIT) << "Read ParamPull: " << pull->GetName() << " " << pull->GetType() << std::endl;
     }
 
     TH1D dialhist = pull->GetDataHist();
     TH1D minhist  = pull->GetMinHist();
     TH1D maxhist  = pull->GetMaxHist();
     TH1I typehist = pull->GetDialTypes();
 
     for (int i = 0; i < dialhist.GetNbinsX(); i++){
       std::string name = std::string(dialhist.GetXaxis()->GetBinLabel(i+1));
       dialthrowhandle[name] = pull->GetName();
 
       if (fCurVals.find(name) == fCurVals.end()){
 
       	// Add to Containers
       	fParams.push_back(name);
       	fCurVals[name]      = dialhist.GetBinContent(i+1);
       	fStartVals[name]    = dialhist.GetBinContent(i+1);
       	fMinVals[name]      = minhist.GetBinContent(i+1);
       	fMaxVals[name]      = maxhist.GetBinContent(i+1);
       	fStepVals[name]     = 1.0;
       	fFixVals[name]      = false;
       	fStartFixVals[name] = false;
       	fTypeVals[name]     = typehist.GetBinContent(i+1);
       	fStateVals[name]    = "FREE" + pull->GetType();
 
       	// Maker Helper
       	helperstr << std::string(16, ' ' ) << FitBase::ConvDialType(fTypeVals[name]) << " "
       		  << name << " " << fMinVals[name] << " "
       		  << fMaxVals[name] << " " << fStepVals[name] << " " << fStateVals[name]
 		  << std::endl;
       }
     }
   }
 
   // Check if no throws given
   if (fInputThrows.empty()){
 
     ERR(WRN) << "No covariances given to nuissyst" << std::endl;
     ERR(WRN) << "Pushing back an uncorrelated gaussian throw error for each free parameter using step size" << std::endl;
 
     for (UInt_t i = 0; i < fParams.size(); i++){
       std::string syst     = fParams[i];
       if (fFixVals[syst]) continue;
 
       // Make Terms
       std::string name     = syst + "_pull";
 
       std::ostringstream pullterm;
       pullterm << "DIAL:" << syst << ";"
 	       << fStartVals[syst] << ";"
 	       << fStepVals[syst];
 
       std::string type = "GAUSTHROW/NEUT";
 
       // Push Back Pulls
       ParamPull* pull = new ParamPull( name, pullterm.str(), type );
       fInputThrows.push_back(pull);
       fInputCovar.push_back(pull->GetFullCovarMatrix());
       fInputDials.push_back(pull->GetDataHist());
 
       // Print Whats added
       ERR(WRN) << "Added ParamPull : " << name << " " << pullterm.str() << " " << type << std::endl;
 
       // Add helper string for future fits
       helperstr << std::string(16, ' ' ) << "covar " << name << " " << pullterm.str() << " " << type << std::endl;
 
       // Keep Track of Throws
       dialthrowhandle[syst] = pull->GetName();
     }
   }
 
   // Print Helper String
   if (!helperstr.str().empty()){
     LOG(FIT) << "To remove these statements in future studies, add the lines below to your card:" << std::endl;
     // Can't use the logger properly because this can be multi-line. Use cout and added spaces to look better!
     std::cout << helperstr.str();
     sleep(2);
   }
 
 
 
   // Print Throw State
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string syst = fParams[i];
     if (dialthrowhandle.find(syst) != dialthrowhandle.end()){
       LOG(FIT) << "Dial " << i << ". " << setw(40) << syst << " = THROWING with " << dialthrowhandle[syst] << std::endl;
     } else {
       LOG(FIT) << "Dial " << i << ". " << setw(40) << syst << " = FIXED" << std::endl;
     }
   }
 
   // Pause anyway
   sleep(1);
   return;
 }
 
 
 
 
 /*
   Fitting Functions
 */
 //*************************************
 void SystematicRoutines::UpdateRWEngine(std::map<std::string,double>& updateVals){
 //*************************************
 
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string name = fParams[i];
 
     if (updateVals.find(name) == updateVals.end()) continue;
     FitBase::GetRW()->SetDialValue(name,updateVals.at(name));
   }
 
   FitBase::GetRW()->Reconfigure();
   return;
 }
 
 //*************************************
 void SystematicRoutines::PrintState(){
 //*************************************
   LOG(FIT)<<"------------"<<std::endl;
 
   // Count max size
   int maxcount = 0;
   for (UInt_t i = 0; i < fParams.size(); i++){
     maxcount = max(int(fParams[i].size()), maxcount);
   }
 
   // Header
   LOG(FIT) << " #    " << left << setw(maxcount) << "Parameter "
 	   << " = "
 	   << setw(10) << "Value"     << " +- "
 	   << setw(10) << "Error"     << " "
 	   << setw(8)  << "(Units)"   << " "
 	   << setw(10) << "Conv. Val" << " +- "
 	   << setw(10) << "Conv. Err" << " "
 	   << setw(8)  << "(Units)"   << std::endl;
 
   // Parameters
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string syst = fParams.at(i);
 
     std::string typestr  = FitBase::ConvDialType(fTypeVals[syst]);
     std::string curunits = "(sig.)";
     double      curval   = fCurVals[syst];
     double      curerr   = fErrorVals[syst];
 
     if (fStateVals[syst].find("ABS") != std::string::npos){
       curval = FitBase::RWSigmaToAbs(typestr, syst, curval);
       curerr = (FitBase::RWSigmaToAbs(typestr, syst, curerr) -
 		FitBase::RWSigmaToAbs(typestr, syst, 0.0));
       curunits = "(Abs.)";
     } else if (fStateVals[syst].find("FRAC") != std::string::npos){
       curval = FitBase::RWSigmaToFrac(typestr, syst, curval);
       curerr = (FitBase::RWSigmaToFrac(typestr, syst, curerr) -
 		FitBase::RWSigmaToFrac(typestr, syst, 0.0));
       curunits = "(Frac)";
     }
 
     std::string convunits = "(" + FitBase::GetRWUnits(typestr, syst) + ")";
     double      convval   = FitBase::RWSigmaToAbs(typestr, syst, curval);
     double      converr   = (FitBase::RWSigmaToAbs(typestr, syst, curerr) -
 			     FitBase::RWSigmaToAbs(typestr, syst, 0.0));
 
     std::ostringstream curparstring;
 
     curparstring << " " << setw(3) << left
 		 << i << ". "
 		 << setw(maxcount) << syst << " = "
 		 << setw(10) << curval     << " +- "
 		 << setw(10) << curerr     << " "
 		 << setw(8)  << curunits   << " "
                  << setw(10) << convval    << " +- "
                  << setw(10) << converr    << " "
                  << setw(8)  << convunits;
 
 
     LOG(FIT) << curparstring.str() << std::endl;
   }
 
   LOG(FIT)<<"------------"<<std::endl;
   double like = fSampleFCN->GetLikelihood();
   LOG(FIT) << std::left << std::setw(46) << "Likelihood for JointFCN: " << like << std::endl;
   LOG(FIT)<<"------------"<<std::endl;
 }
 
 
 
 /*
   Write Functions
 */
 //*************************************
 void SystematicRoutines::SaveResults(){
 //*************************************
   if (!fOutputRootFile)
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");  
 
   fOutputRootFile->cd();
 
   SaveCurrentState();
 
 }
 
 //*************************************
 void SystematicRoutines::SaveCurrentState(std::string subdir){
 //*************************************
 
   LOG(FIT)<<"Saving current full FCN predictions" <<std::endl;
 
   // Setup DIRS
   TDirectory* curdir = gDirectory;
   if (!subdir.empty()){
     TDirectory* newdir =(TDirectory*) gDirectory->mkdir(subdir.c_str());
     newdir->cd();
   }
 
   FitBase::GetRW()->Reconfigure();
   fSampleFCN->ReconfigureAllEvents();
   fSampleFCN->Write();
 
   // Change back to current DIR
   curdir->cd();
 
   return;
 }
 
 //*************************************
 void SystematicRoutines::SaveNominal(){
 //*************************************
   if (!fOutputRootFile)
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
 
   fOutputRootFile->cd();
 
   LOG(FIT)<<"Saving Nominal Predictions (be cautious with this)" <<std::endl;
   FitBase::GetRW()->Reconfigure();
   SaveCurrentState("nominal");
 
 };
 
 //*************************************
 void SystematicRoutines::SavePrefit(){
 //*************************************
   if (!fOutputRootFile)
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
 
   fOutputRootFile->cd();
 
   LOG(FIT)<<"Saving Prefit Predictions"<<std::endl;
   UpdateRWEngine(fStartVals);
   SaveCurrentState("prefit");
   UpdateRWEngine(fCurVals);
 
 };
 
 
 /*
   MISC Functions
 */
 //*************************************
 int SystematicRoutines::GetStatus(){
 //*************************************
 
   return 0;
 }
 
 //*************************************
 void SystematicRoutines::SetupCovariance(){
 //*************************************
 
   // Remove covares if they exist
   if (fCovar) delete fCovar;
   if (fCovarFree) delete fCovarFree;
   if (fCorrel) delete fCorrel;
   if (fCorrelFree) delete fCorrelFree;
   if (fDecomp) delete fDecomp;
   if (fDecompFree) delete fDecompFree;
 
   int NFREE = 0;
   int NDIM = 0;
 
   // Get NFREE from min or from vals (for cases when doing throws)
   NDIM = fParams.size();
   for (UInt_t i = 0; i < fParams.size(); i++){
     if (!fFixVals[fParams[i]]) NFREE++;
   }
 
   if (NDIM == 0) return;
 
   fCovar = new TH2D("covariance","covariance",NDIM,0,NDIM,NDIM,0,NDIM);
   if (NFREE > 0){
     fCovarFree = new TH2D("covariance_free",
 			      "covariance_free",
 			      NFREE,0,NFREE,
 			      NFREE,0,NFREE);
   }
 
   // Set Bin Labels
   int countall = 0;
   int countfree = 0;
   for (UInt_t i = 0; i < fParams.size(); i++){
 
     fCovar->GetXaxis()->SetBinLabel(countall+1,fParams[i].c_str());
     fCovar->GetYaxis()->SetBinLabel(countall+1,fParams[i].c_str());
     countall++;
 
     if (!fFixVals[fParams[i]] and NFREE > 0){
       fCovarFree->GetXaxis()->SetBinLabel(countfree+1,fParams[i].c_str());
       fCovarFree->GetYaxis()->SetBinLabel(countfree+1,fParams[i].c_str());
       countfree++;
     }
   }
 
   fCorrel = PlotUtils::GetCorrelationPlot(fCovar,"correlation");
   fDecomp = PlotUtils::GetDecompPlot(fCovar,"decomposition");
 
   if (NFREE > 0)fCorrelFree = PlotUtils::GetCorrelationPlot(fCovarFree, "correlation_free");
   if (NFREE > 0)fDecompFree = PlotUtils::GetDecompPlot(fCovarFree,"decomposition_free");
 
   return;
 };
 
 //*************************************
 void SystematicRoutines::ThrowCovariance(bool uniformly){
 //*************************************
 
   // Set fThrownVals to all values in currentVals
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string name = fParams.at(i);
     fThrownVals[name] = fCurVals[name];
   }
 
   for (PullListConstIter iter = fInputThrows.begin();
        iter != fInputThrows.end(); iter++){
     ParamPull* pull = *iter;
 
     pull->ThrowCovariance();
     TH1D dialhist = pull->GetDataHist();
 
     for (int i = 0; i < dialhist.GetNbinsX(); i++){
       std::string name = std::string(dialhist.GetXaxis()->GetBinLabel(i+1));
       if (fCurVals.find(name) != fCurVals.end()){
 	fThrownVals[name] = dialhist.GetBinContent(i+1);
       }
     }
 
     // Reset throw incase pulls are calculated.
     pull->ResetToy();
 
   }
 
   return;
 };
 
 //*************************************
 void SystematicRoutines::PlotLimits(){
 //*************************************
   std::cout << "Plotting Limits" << std::endl;
   if (!fOutputRootFile)
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
 
   TDirectory* limfolder = (TDirectory*) fOutputRootFile->mkdir("Limits");
   limfolder->cd();
 
   // Set all parameters at their starting values
   for (UInt_t i = 0; i < fParams.size(); i++){
     fCurVals[fParams[i]] = fStartVals[fParams[i]];
   }
 
   TDirectory* nomfolder = (TDirectory*) limfolder->mkdir("nominal");
   nomfolder->cd();
 
   UpdateRWEngine(fCurVals);
   fSampleFCN->ReconfigureAllEvents();
   fSampleFCN->Write();
 
   limfolder->cd();
   std::vector<std::string> allfolders;
 
 
   // Loop through each parameter
   for (UInt_t i = 0; i < fParams.size(); i++){
     std::string syst = fParams[i];
     std::cout << "Starting Param " << syst << std::endl;
     if (fFixVals[syst]) continue;
 
     // Loop Downwards
     while (fCurVals[syst] > fMinVals[syst]){
       fCurVals[syst] = fCurVals[syst] - fStepVals[syst];
 
       // Check Limit
       if (fCurVals[syst] < fMinVals[syst])
 	fCurVals[syst] = fMinVals[syst];
 
       // Check folder exists
       std::string curvalstring = std::string( Form( (syst + "_%f").c_str(), fCurVals[syst] ) );
       if (std::find(allfolders.begin(), allfolders.end(), curvalstring) != allfolders.end())
 	break;
 
       // Make new folder for variation
       TDirectory* minfolder = (TDirectory*) limfolder->mkdir(Form( (syst + "_%f").c_str(), fCurVals[syst] ) );
       minfolder->cd();
 
       allfolders.push_back(curvalstring);
 
       // Update Iterations
       double *vals = FitUtils::GetArrayFromMap( fParams, fCurVals );
       fSampleFCN->DoEval( vals );
       delete vals;
 
       // Save to folder
       fSampleFCN->Write();
     }
 
     // Reset before next loop
     fCurVals[syst] = fStartVals[syst];
 
     // Loop Upwards now
     while (fCurVals[syst] < fMaxVals[syst]){
       fCurVals[syst] = fCurVals[syst] + fStepVals[syst];
 
       // Check Limit
       if (fCurVals[syst] > fMaxVals[syst])
 	fCurVals[syst] = fMaxVals[syst];
 
       // Check folder exists
       std::string curvalstring = std::string( Form( (syst + "_%f").c_str(), fCurVals[syst] ) );
       if (std::find(allfolders.begin(), allfolders.end(), curvalstring) != allfolders.end())
 	break;
 
       // Make new folder
       TDirectory* maxfolder = (TDirectory*) limfolder->mkdir(Form( (syst + "_%f").c_str(), fCurVals[syst] ) );
       maxfolder->cd();
 
       allfolders.push_back(curvalstring);
 
       // Update Iterations
       double *vals = FitUtils::GetArrayFromMap( fParams, fCurVals );
       fSampleFCN->DoEval( vals );
       delete vals;
 
       // Save to file
       fSampleFCN->Write();
     }
 
     // Reset before leaving
     fCurVals[syst] = fStartVals[syst];
     UpdateRWEngine(fCurVals);
   }
 
   return;
 }
 
 //*************************************
 void SystematicRoutines::Run(){
 //*************************************
 
   std::cout << "Running routines "<< std::endl;
   fRoutines = GeneralUtils::ParseToStr(fStrategy,",");
 
   for (UInt_t i = 0; i < fRoutines.size(); i++){
 
     std::string routine = fRoutines.at(i);
     int fitstate = kFitUnfinished;
     LOG(FIT)<<"Running Routine: "<<routine<<std::endl;
 
     if (routine.compare("PlotLimits") == 0) PlotLimits();
     else if (routine.compare("ErrorBands") == 0) GenerateErrorBands();
     else if (routine.compare("ThrowErrors") == 0) GenerateThrows();
     else if (routine.compare("MergeErrors") == 0) MergeThrows();
+    else if (routine.compare("EigenErrors") == 0) EigenErrors();
     else {
       std::cout << "Unknown ROUTINE : " << routine << std::endl;
     }
 
     // If ending early break here
     if (fitstate == kFitFinished || fitstate == kNoChange){
       LOG(FIT) << "Ending fit routines loop." << std::endl;
       break;
     }
   }
 
   return;
 }
 
 void SystematicRoutines::GenerateErrorBands(){
   GenerateThrows();
   MergeThrows();
 }
 
 //*************************************
 void SystematicRoutines::GenerateThrows(){
 //*************************************
 
 
   TFile* tempfile = new TFile((fOutputFile + ".throws.root").c_str(),"RECREATE");
   tempfile->cd();
 
   int nthrows = fNThrows;
   int startthrows = fStartThrows;
   int endthrows = startthrows + nthrows;
 
   if (nthrows < 0) nthrows = endthrows;
   if (startthrows < 0) startthrows = 0;
   if (endthrows < 0) endthrows = startthrows + nthrows;
 
   // Setting Seed
   // Matteo Mazzanti's Fix
   struct timeval mytime;
   gettimeofday(&mytime, NULL);
   Double_t seed = time(NULL) + int(getpid())+ (mytime.tv_sec * 1000.) + (mytime.tv_usec / 1000.);
   gRandom->SetSeed(seed);
 
   //  int seed = (gRandom->Uniform(0.0,1.0)*100000 + 100000000*(startthrows + endthrows) + time(NULL) + int(getpid()) );
   //  gRandom->SetSeed(seed);
   LOG(FIT) << "Using Seed : " << seed << std::endl;
   LOG(FIT) << "nthrows = " << nthrows << std::endl;
   LOG(FIT) << "startthrows = " << startthrows << std::endl;
   LOG(FIT) << "endthrows = " << endthrows << std::endl;
 
 
 
   UpdateRWEngine(fCurVals);
   fSampleFCN->ReconfigureAllEvents();
 
   if (startthrows == 0){
     LOG(FIT) << "Making nominal " << std::endl;
     TDirectory* nominal = (TDirectory*) tempfile->mkdir("nominal");
     nominal->cd();
     fSampleFCN->Write();
   }
 
   LOG(SAM) << "nthrows = " << nthrows << std::endl;
   LOG(SAM) << "startthrows = " << startthrows << std::endl;
   LOG(SAM) << "endthrows = " << endthrows << std::endl;
 
   TTree* parameterTree = new TTree("throws","throws");
   double chi2;
   for (UInt_t i = 0; i < fParams.size(); i++)
     parameterTree->Branch(fParams[i].c_str(), &fThrownVals[fParams[i]], (fParams[i] + "/D").c_str());
   parameterTree->Branch("chi2",&chi2,"chi2/D");
   fSampleFCN->CreateIterationTree("error_iterations", FitBase::GetRW());
 
   // Would anybody actually want to do uniform throws of any parameter??
   bool uniformly = FitPar::Config().GetParB("error_uniform");
 
   // Run Throws and save
   for (Int_t i = 0; i < endthrows+1; i++){
 
     LOG(FIT) << "Loop " << i << std::endl;
     ThrowCovariance(uniformly);
     if (i < startthrows) continue;
     if (i == 0) continue;
     LOG(FIT) << "Throw " << i << " ================================" << std::endl;
     // Generate Random Parameter Throw
     //    ThrowCovariance(uniformly);
 
     TDirectory* throwfolder = (TDirectory*)tempfile->mkdir(Form("throw_%i",i));
     throwfolder->cd();
 
     // Run Eval
     double *vals = FitUtils::GetArrayFromMap( fParams, fThrownVals );
     chi2 = fSampleFCN->DoEval( vals );
     delete vals;
 
     // Save the FCN
     fSampleFCN->Write();
 
     parameterTree->Fill();
   }
 
   tempfile->cd();
   fSampleFCN->WriteIterationTree();
 
   tempfile->Close();
 }
 
 void SystematicRoutines::MergeThrows(){
 
 
     fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
     fOutputRootFile->cd();
 
 
   // Make a container folder
   TDirectory* errorDIR = (TDirectory*) fOutputRootFile->mkdir("error_bands");
   errorDIR->cd();
 
   TDirectory* outnominal = (TDirectory*) fOutputRootFile->mkdir("nominal_throw");
   outnominal->cd();
 
   // Split Input Files
   if (!fThrowString.empty()) fThrowList = GeneralUtils::ParseToStr(fThrowString,",");
 
   // Add default if no throwlist given
   if (fThrowList.size() < 1) fThrowList.push_back( fOutputFile + ".throws.root" ); 
 
   /// Save location of file containing nominal
   std::string nominalfile;
   bool nominalfound;
 
   // Loop over files and check they exist.
   for (uint i = 0; i < fThrowList.size(); i++){
     std::string file = fThrowList[i];
     bool found = false;
 
     // normal
     std::string newfile = file;
     TFile* throwfile = new TFile(file.c_str(),"READ");
     if (throwfile and !throwfile->IsZombie()){ 
         found = true;
     }
 
     // normal.throws.root
     if (!found){
       newfile = file + ".throws.root";
       throwfile = new TFile((file + ".throws.root").c_str(),"READ");
       if (throwfile and !throwfile->IsZombie()) {
         found = true;
       }
     }
 
     // If its found save to throwlist, else save empty.
     // Also search for nominal
     if (found){
       fThrowList[i] = newfile;
       
       LOG(FIT) << "Throws File :" << newfile << std::endl;
 
       // Find input which contains nominal
       if (throwfile->Get("nominal")){
         nominalfound = true;
         nominalfile = newfile;
       }
 
       throwfile->Close();
 
     } else {
       fThrowList[i] = "";
     }
 
     delete throwfile;
   }
 
   // Make sure we have a nominal file
   if (!nominalfound or nominalfile.empty()){
     ERR(FTL) << "No nominal found when mergining! Exiting!" << std::endl;
     throw;  
   }
 
   
 
     // Get the nominal throws file
   TFile* tempfile = new TFile((nominalfile).c_str(),"READ");
   tempfile->cd();
   TDirectory* nominal = (TDirectory*)tempfile->Get("nominal");
   // int nthrows = FitPar::Config().GetParI("error_throws");
   bool uniformly = FitPar::Config().GetParB("error_uniform");
 
   // Check percentage of bad files is okay.
   int badfilecount = 0;
   for (uint i = 0; i < fThrowList.size(); i++){
     if (!fThrowList[i].empty()){
       LOG(FIT) << "Loading Throws From File " << i << " : " 
 	       << fThrowList[i] << std::endl;
     } else {
       badfilecount++;
     }
   }
 
   // Check we have at least one good file
   if ((uint)badfilecount == fThrowList.size()){
     ERR(FTL) << "Found no good throw files for MergeThrows" << std::endl;
     throw;
   } else if (badfilecount > fThrowList.size()*0.25){
     ERR(WRN) << "Over 25% of your throw files are dodgy. Please check this is okay!" << std::endl;
     ERR(WRN) << "Will continue for the time being..." << std::endl;
     sleep(5);
   }
 
   // Now go through the keys in the temporary file and look for TH1D, and TH2D plots
   TIter next(nominal->GetListOfKeys());
   TKey *key;
   while ((key = (TKey*)next())) {
     TClass *cl = gROOT->GetClass(key->GetClassName());
     if (!cl->InheritsFrom("TH1D") and !cl->InheritsFrom("TH2D")) continue;
     TH1* baseplot = (TH1D*)key->ReadObj();
     std::string plotname = std::string(baseplot->GetName());
     LOG(FIT) << "Creating error bands for " << plotname;
     if (LOG_LEVEL(FIT)){
       if (!uniformly) std::cout << " : Using COVARIANCE Throws! " << std::endl;
       else std::cout << " : Using UNIFORM THROWS!!! " << std::endl;
     }
 
     int nbins = 0;
     if (cl->InheritsFrom("TH1D")) nbins = ((TH1D*)baseplot)->GetNbinsX();
     else nbins = ((TH1D*)baseplot)->GetNbinsX()* ((TH1D*)baseplot)->GetNbinsY();
 
     // Setup TProfile with RMS option
     TProfile* tprof = new TProfile((plotname + "_prof").c_str(),(plotname + "_prof").c_str(),nbins, 0, nbins, "S");
 
     // Setup The TTREE
     double* bincontents;
     bincontents = new double[nbins];
 
     double* binlowest;
     binlowest = new double[nbins];
 
     double* binhighest;
     binhighest = new double[nbins];
 
     errorDIR->cd();
     TTree* bintree = new TTree((plotname + "_tree").c_str(), (plotname + "_tree").c_str());
     for (Int_t i = 0; i < nbins; i++){
       bincontents[i] = 0.0;
       binhighest[i] = 0.0;
       binlowest[i] = 0.0;
       bintree->Branch(Form("content_%i",i),&bincontents[i],Form("content_%i/D",i));
     }
 
     // Make new throw plot
     TH1* newplot;
 
     // Run Throw Merging.
     for (UInt_t i = 0; i < fThrowList.size(); i++){
 
       TFile* throwfile = new TFile(fThrowList[i].c_str(), "READ");
 
       // Loop over all throws in a folder
       TIter nextthrow(throwfile->GetListOfKeys());
       TKey *throwkey;
       while ((throwkey = (TKey*)nextthrow())) {
         
         // Skip non throw folders
         if (std::string(throwkey->GetName()).find("throw_") == std::string::npos) continue;
 
         // Get Throw DIR
         TDirectory* throwdir = (TDirectory*)throwkey->ReadObj();
 
         // Get Plot From Throw
         newplot = (TH1*)throwdir->Get(plotname.c_str());
         if (!newplot) continue;
 
         // Loop Over Plot
         for (Int_t j = 0; j < nbins; j++){
           tprof->Fill(j+0.5, newplot->GetBinContent(j+1));
           bincontents[j] = newplot->GetBinContent(j+1);
 
           if (bincontents[j] < binlowest[j] or i == 0) binlowest[j] = bincontents[j];
           if (bincontents[j] > binhighest[j] or i == 0) binhighest[j] = bincontents[j];
         }
 
         errorDIR->cd();
         bintree->Fill();
       }
 
       throwfile->Close();
       delete throwfile;
     }
 
     errorDIR->cd();
 
     if (uniformly){
       LOG(FIT) << "Uniformly Calculating Plot Errors!" << std::endl;
     }
 
     TH1* statplot = (TH1*) baseplot->Clone();
 
     for (Int_t j = 0; j < nbins; j++){
 
       if (!uniformly){
 //	if ((baseplot->GetBinError(j+1)/baseplot->GetBinContent(j+1)) < 1.0) {
 	  //	  baseplot->SetBinError(j+1,sqrt(pow(tprof->GetBinError(j+1),2) + pow(baseplot->GetBinError(j+1),2)));
 	//	} else {
-	baseplot->SetBinContent(j+1,tprof->GetBinContent(j+1));
+	//baseplot->SetBinContent(j+1,tprof->GetBinContent(j+1));
 	baseplot->SetBinError(j+1,tprof->GetBinError(j+1));
 	  //	}
       } else {
       	baseplot->SetBinContent(j+1, 0.0);//(binlowest[j] + binhighest[j]) / 2.0);
         baseplot->SetBinError(j+1, 0.0); //(binhighest[j] - binlowest[j])/2.0);
       }
     }
 
     errorDIR->cd();
     baseplot->Write();
     tprof->Write();
     bintree->Write();
 
     outnominal->cd();
     for (int i = 0; i < nbins; i++){
       baseplot->SetBinError(i+1, sqrt(pow(statplot->GetBinError(i+1),2) + pow(baseplot->GetBinError(i+1),2)));
     }
     baseplot->Write();
     
     delete statplot;
     delete baseplot;
     delete tprof;
     delete bintree;
     delete [] bincontents;
   }
 
   return;
 };
+
+void SystematicRoutines::EigenErrors(){
+
+
+    fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "RECREATE");
+    fOutputRootFile->cd();
+
+  // Make Covariance
+  TMatrixDSym* fullcovar = new TMatrixDSym( fParams.size() );
+
+  // Extract covariance from all loaded ParamPulls
+  for (PullListConstIter iter = fInputThrows.begin();
+       iter != fInputThrows.end(); iter++){
+    ParamPull* pull = *iter;
+
+    // Check pull is actualyl Gaussian
+    std::string pulltype = pull->GetType();
+    if (pulltype.find("GAUSTHROW") == std::string::npos){
+      THROW("Can only calculate EigenErrors for Gaussian pulls!");
+    }
+
+    // Get data and covariances
+    TH1D dialhist = pull->GetDataHist();
+    TH2D covhist  = pull->GetFullCovar();
+
+    // Loop over all dials and compare names
+    for (int pari = 0; pari < fParams.size(); pari++){
+      for (int parj = 0; parj < fParams.size(); parj++){
+	
+	std::string name_pari = fParams[pari];
+	std::string name_parj = fParams[parj];
+
+	// Compare names to those in the pull
+	for (int pulli = 0; pulli < dialhist.GetNbinsX(); pulli++){
+	  for (int pullj = 0; pullj < dialhist.GetNbinsX(); pullj++){
+	    
+	    std::string name_pulli = dialhist.GetXaxis()->GetBinLabel(pulli+1);
+	    std::string name_pullj = dialhist.GetXaxis()->GetBinLabel(pullj+1);
+
+	    if (name_pulli == name_pari && name_pullj == name_parj){
+	      (*fullcovar)[pari][parj] = covhist.GetBinContent(pulli+1, pullj+1);
+	      fCurVals[name_pari] = dialhist.GetBinContent(pulli+1);
+	      fCurVals[name_parj] = dialhist.GetBinContent(pullj+1);
+	    }
+	    
+	  }
+	}
+	
+      }
+    }
+  }
+
+  /*
+  TFile* test = new TFile("testingcovar.root","RECREATE");
+  test->cd();
+  TH2D* joinedcov = new TH2D("COVAR","COVAR",
+			     fullcovar->GetNrows(), 0.0, float(fullcovar->GetNrows()), 
+			     fullcovar->GetNrows(), 0.0, float(fullcovar->GetNrows()));
+  for (int i = 0; i < fullcovar->GetNrows(); i++){
+    for (int j = 0; j < fullcovar->GetNcols(); j++){
+      joinedcov->SetBinContent(i+1, j+1, (*fullcovar)[i][j]);
+    }
+  }
+  joinedcov->Write("COVAR");
+  test->Close();
+  */
+
+  // Calculator all EigenVectors and EigenValues
+  TMatrixDSymEigen* eigen = new TMatrixDSymEigen(*fullcovar);
+  const TVectorD eigenVals = eigen->GetEigenValues();
+  const TMatrixD eigenVect = eigen->GetEigenVectors();
+  eigenVals.Print();
+  eigenVect.Print();
+
+  TDirectory* outnominal = (TDirectory*) fOutputRootFile->mkdir("nominal");
+  outnominal->cd();
+
+  double *valst = FitUtils::GetArrayFromMap( fParams, fCurVals );
+  double chi2 = fSampleFCN->DoEval( valst );
+  delete valst;
+  fSampleFCN->Write();
+
+  // Loop over all throws
+  TDirectory* throwsdir = (TDirectory*) fOutputRootFile->mkdir("throws");
+  throwsdir->cd();
+
+  int count = 0;
+  // Produce all error throws.
+  for (int i = 0; i < eigenVect.GetNrows(); i++){
+
+    TDirectory* throwfolder = (TDirectory*)throwsdir->mkdir(Form("throw_%i",count));
+    throwfolder->cd();
+
+    // Get New Parameter Vector
+    LOG(FIT) << "Parameter Set " << count << std::endl;
+    for (int j = 0; j < eigenVect.GetNrows(); j++){
+      std::string param = fParams[j];
+      LOG(FIT) << " " << j << ". " << param << " : " << fCurVals[param] + sqrt(eigenVals[i]) * eigenVect[j][i] << std::endl;
+      fThrownVals[param] = fCurVals[param] + sqrt(eigenVals[i]) * eigenVect[j][i];
+    }
+
+    // Run Eval
+    double *vals = FitUtils::GetArrayFromMap( fParams, fThrownVals );
+    double chi2 = fSampleFCN->DoEval( vals );
+    delete vals;
+    count++;
+
+    fSampleFCN->Write();
+
+    
+    throwfolder = (TDirectory*)throwsdir->mkdir(Form("throw_%i",count));
+    throwfolder->cd();
+
+    // Get New Parameter Vector
+    LOG(FIT) << "Parameter Set " << count << std::endl;
+    for (int j = 0; j < eigenVect.GetNrows(); j++){
+      std::string param = fParams[j];
+      LOG(FIT) << " " << j << ". " << param << " : " <<fCurVals[param] - sqrt(eigenVals[i]) * eigenVect[j][i] << std::endl;
+      fThrownVals[param] = fCurVals[param] - sqrt(eigenVals[i]) * eigenVect[j][i];
+    }
+
+    // Run Eval
+    double *vals2 = FitUtils::GetArrayFromMap( fParams, fThrownVals );
+    chi2 = fSampleFCN->DoEval( vals2 );
+    delete vals2;
+    count++;
+    
+    // Save the FCN
+    fSampleFCN->Write();
+    
+  }
+
+  fOutputRootFile->Close();  
+  fOutputRootFile = new TFile(fCompKey.GetS("outputfile").c_str(), "UPDATE");
+  fOutputRootFile->cd();
+  throwsdir = (TDirectory*) fOutputRootFile->Get("throws");
+  outnominal = (TDirectory*) fOutputRootFile->Get("nominal");
+
+  // Loop through Error DIR
+  TDirectory* outerr = (TDirectory*) fOutputRootFile->mkdir("errors");
+  outerr->cd();
+  TIter next(outnominal->GetListOfKeys());
+  TKey *key;
+  while ((key = (TKey*)next())) {
+    
+    TClass *cl = gROOT->GetClass(key->GetClassName());
+    if (!cl->InheritsFrom("TH1D") and !cl->InheritsFrom("TH2D")) continue;
+    
+    LOG(FIT) << "Creating error bands for " << key->GetName() << std::endl;
+    std::string plotname = std::string(key->GetName());
+
+    if (plotname.find("_EVT") != std::string::npos) continue;
+    if (plotname.find("_FLUX") != std::string::npos) continue;
+    if (plotname.find("_FLX") != std::string::npos) continue;
+
+    TH1* baseplot = (TH1D*)key->ReadObj()->Clone(Form("%s_ORIGINAL",key->GetName()));
+    TH1* errorplot_upper = (TH1D*)baseplot->Clone(Form("%s_ERROR_UPPER",key->GetName()));
+    TH1* errorplot_lower = (TH1D*)baseplot->Clone(Form("%s_ERROR_LOWER", key->GetName()));
+    TH1* meanplot = (TH1D*)baseplot->Clone(Form("%s_SET_MEAN", key->GetName()));
+    TH1* systplot = (TH1D*)baseplot->Clone(Form("%s_SYST", key->GetName()));
+    TH1* statplot = (TH1D*)baseplot->Clone(Form("%s_STAT", key->GetName()));
+    TH1* totlplot = (TH1D*)baseplot->Clone(Form("%s_TOTAL", key->GetName()));
+
+    int nbins = 0;
+    if (cl->InheritsFrom("TH1D")) nbins = ((TH1D*)baseplot)->GetNbinsX();
+    else nbins = ((TH1D*)baseplot)->GetNbinsX()* ((TH1D*)baseplot)->GetNbinsY();
+
+    meanplot->Reset();
+    errorplot_upper->Reset();
+    errorplot_lower->Reset();
+
+    for (int j = 0; j < nbins; j++){
+      errorplot_upper->SetBinError(j+1, 0.0);
+      errorplot_lower->SetBinError(j+1, 0.0);
+    }
+
+    // Loop over throws and calculate mean and error for +- throws
+    int addcount = 0;
+
+    // Add baseplot first to slightly bias to central value
+    meanplot->Add(baseplot);
+    addcount++;
+
+    for (int i = 0; i < count; i++){
+      TH1* newplot = (TH1D*) throwsdir->Get(Form("throw_%i/%s",i,plotname.c_str()));
+      if (!newplot){
+	ERR(WRN) << "Cannot find new plot : " << Form("throw_%i/%s",i,plotname.c_str()) << std::endl;
+	ERR(WRN) << "This plot will not have the correct errors!" << std::endl;
+	continue;
+      }
+      newplot->SetDirectory(0);
+      nbins = newplot->GetNbinsX();
+    
+      for (int j = 0; j < nbins; j++){
+	if (i % 2 == 0){
+	  //	  std::cout << plotname<< " : upper " << errorplot_upper->GetBinContent(j+1) << " adding " << pow(baseplot->GetBinContent(j+1) - newplot->GetBinContent(j+1),2) << std::endl;
+	  //	  std::cout << " -> " << baseplot->GetBinContent(j+1) << " " <<newplot->GetBinContent(j+1) << std::endl;
+	  errorplot_upper->SetBinContent(j+1, errorplot_upper->GetBinContent(j+1) + 
+					 pow(baseplot->GetBinContent(j+1) - newplot->GetBinContent(j+1),2));
+	  //	  newplot->Print();
+	} else {
+	  //	  std::cout << plotname << " : lower " << errorplot_lower->GetBinContent(j+1) << " adding " << pow(baseplot->GetBinContent(j+1) - newplot->GetBinContent(j+1),2) << std::endl;
+	  //	  std::cout << " -> " << baseplot->GetBinContent(j+1) << " " << newplot->GetBinContent(j+1) << std::endl;
+	  errorplot_lower->SetBinContent(j+1, errorplot_lower->GetBinContent(j+1) +
+                                         pow(baseplot->GetBinContent(j+1) - newplot->GetBinContent(j+1),2));
+	  //	  newplot->Print();
+	}
+	meanplot->SetBinContent(j+1, meanplot->GetBinContent(j+1) + baseplot->GetBinContent(j+1));
+      }
+      delete newplot;
+      addcount++;
+    }
+    
+    // Get mean Average
+    for (int j = 0; j < nbins; j++){
+      meanplot->SetBinContent(j+1, meanplot->GetBinContent(j+1)/double(addcount));
+    }
+
+    for (int j = 0; j < nbins; j++){
+      errorplot_upper->SetBinContent(j+1, sqrt(errorplot_upper->GetBinContent(j+1)));
+      errorplot_lower->SetBinContent(j+1, sqrt(errorplot_lower->GetBinContent(j+1)));
+      
+      statplot->SetBinError(j+1, baseplot->GetBinError(j+1) );
+      systplot->SetBinError(j+1, (errorplot_upper->GetBinContent(j+1) + errorplot_lower->GetBinContent(j+1))/2.0);
+      totlplot->SetBinError(j+1, sqrt( pow(statplot->GetBinError(j+1),2) + pow(systplot->GetBinError(j+1),2) ) );
+
+      meanplot->SetBinError(j+1, sqrt( pow(statplot->GetBinError(j+1),2) + pow(systplot->GetBinError(j+1),2) ) );
+     
+    }
+
+    outerr->cd();
+    errorplot_upper->Write();
+    errorplot_lower->Write();
+    baseplot->Write();
+    meanplot->Write();
+
+    statplot->Write();
+    systplot->Write();
+    totlplot->Write();
+
+    delete errorplot_upper;
+    delete errorplot_lower;
+    delete baseplot;
+    delete meanplot;
+    delete statplot;
+    delete systplot;
+    delete totlplot;
+  }
+
+}
diff --git a/src/Routines/SystematicRoutines.h b/src/Routines/SystematicRoutines.h
index f726e07..b069a4b 100755
--- a/src/Routines/SystematicRoutines.h
+++ b/src/Routines/SystematicRoutines.h
@@ -1,267 +1,269 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #ifndef SYSTEMATIC_ROUTINES_H
 #define SYSTEMATIC_ROUTINES_H
 
 /*!
  *  \addtogroup Minimizer
  *  @{
  */
 
 #include "TH1.h"
 #include "TF1.h"
 #include "TMatrixD.h"
 #include "TVectorD.h"
 #include "TSystem.h"
 #include "TFile.h"
 #include "TProfile.h"
 
 #include <sys/time.h>
 #include <vector>
 #include <string>
 #include <iostream>
 #include <sstream>
 #include <cstring>
 
 #include "FitEvent.h"
 #include "JointFCN.h"
-
+#include "TMatrixDSymEigen.h"
 #include "ParserUtils.h"
 
 enum minstate {
   kErrorStatus = -1,
   kGoodStatus,
   kFitError,
   kNoChange,
   kFitFinished,
   kFitUnfinished,
   kStateChange,
 };
 
 //*************************************
 //! Collects all possible fit routines into a single class to avoid repeated code
 class SystematicRoutines{
 //*************************************
 
 public:
 
   /*
     Constructor/Destructor
   */
 
   //! Constructor reads in arguments given at the command line for the fit here.
   SystematicRoutines(int argc, char* argv[]);
     
   //! Default destructor
   ~SystematicRoutines();
 
   //! Reset everything to default/NULL
   void Init();
   
   /*
     Input Functions
   */
 
   //! Splits the arguments ready for initial setup
   void ParseArgs(int argc, char* argv[]);
 
   //! Sorts out configuration and verbosity right at the very start.
   //! Calls readCard to set everything else up.
   void InitialSetup();
 
   //! Loops through each line of the card file and passes it to other read functions
   void ReadCard(std::string cardfile);
 
   //! Check for parameter string in the line and assign the correct type.
   //! Fills maps for each of the parameters
   int ReadParameters(std::string parstring);
 
   //! Reads in fake parameters and assigns them (Requires the parameter to be included as a normal parameter as well)
   int ReadFakeDataPars(std::string parstring);
 
   //! Read in the samples so we can set up the free normalisation dials if required
   int ReadSamples(std::string sampleString);
 
   /*
     Setup Functions
   */
 void SetupSystematicsFromXML();
 
   //! Setup the configuration given the arguments passed at the commandline and card file
   void SetupConfig();
 
   //! Setups up our custom RW engine with all the parameters passed in the card file
   void SetupRWEngine();
 
   //! Setups up the jointFCN.
   void SetupFCN();
 
   //! Sets up the minimizerObj for ROOT. there are cases where this is called repeatedly, e.g. If you are using a brute force scan before using Migrad.
   void SetupFitter(std::string routine);
 
   //! Set the current data histograms in each sample to the fake data.
   void SetFakeData();
 
   //! Setup the covariances with the correct dimensions. At the start this is either uncorrelated or merged given all the input covariances.
   //! At the end of the fit this produces the blank covariances which can then be filled by the minimizerObj with best fit covariances.
   void SetupCovariance();
 
   void GetCovarFromFCN();
   /*
     Fitting Functions
   */
 
   //! Main function to actually start iterating over the different required fit routines
   void Run();
 
   //! Given a new map change the values that the RW engine is currently set to
   void UpdateRWEngine(std::map<std::string,double>& updateVals);
 
   //! Given a single routine (see tutorial for options) run that fit routine now.
   int RunFitRoutine(std::string routine);
 
   //! Print current value
   void PrintState();
   
   //! Performs a fit routine where the input.maxevents is set to a much lower value to try and move closer to the best fit minimum.
   void LowStatRoutine(std::string routine);
 
   //! Perform a chi2 scan in 1D around the current point
   void Create1DScans();
 
   //! Perform a chi2 scan in 2D around the current point
   void Chi2Scan2D();
 
   //! Currently a placeholder NEEDS UPDATING
   void CreateContours();
 
   //! If any currentVals are close to the limits set them to the limit and fix them
   int FixAtLimit();
 
   //! Throw the current covariance of dial values we have, and fill the thrownVals and thrownNorms maps.
   //! If uniformly is true parameters will be thrown uniformly between their upper and lower limits.
   void ThrowCovariance(bool uniformly);
 
   //! Given the covariance we currently have generate error bands by throwing the covariance.
   //! The FitPar config "error_uniform" defines whether to throw using the covariance or uniformly.
   //! The FitPar config "error_throws" defines how many throws are needed.
   //! Currently only supports TH1D plots.
   void GenerateErrorBands();
   
   void GenerateThrows();
   void MergeThrows();
   //! Step through each parameter one by one and create folders containing the MC predictions at each step.
   //! Doesn't handle correlated parameters well
   void PlotLimits();
+
+  void EigenErrors();
   
   /*
     Write Functions
   */
 
   //! Save the sample plots for current MC
   //! dir if not empty forces plots to be saved in a subdirectory of outputfile
   void SaveCurrentState(std::string subdir="");
 
   //! Save starting predictions into a seperate folder
   void SaveNominal();
 
   //! Save predictions before the main study is ran into a seperate folder
   void SavePrefit();
 
   //! Save final outputs
   void SaveResults();
   /*
     MISC Functions
   */
 
   //! Get previous fit status from a file
   Int_t GetStatus();
 
 protected:
 
   //! Our Custom ReWeight Object
   FitWeight* rw;
 
   std::string fOutputFile;
   std::string fInputFile;
 
   TFile* fInputRootFile;
   TFile* fOutputRootFile;
 
   //! Flag for whether the fit should be continued if an output file is already found.
   bool fitContinue;
 
   //! Minimizer Object for handling roots different minimizer methods
   JointFCN* fSampleFCN;
 
   int nfreepars;
 
   std::string fCardFile;
 
   std::string fStrategy;
   std::vector<std::string> fRoutines;
   std::string fAllowedRoutines;
   
   std::string fFakeDataInput;
 
   // Input Dial Vals
   //! Vector of dial names
   std::vector<std::string> fParams;
   std::map<std::string, std::string> fStateVals;
   std::map<std::string, double>      fStartVals;
   std::map<std::string, double>      fCurVals;
   std::map<std::string, double>      fErrorVals;
   std::map<std::string, double>      fMinVals;
   std::map<std::string, double>      fMaxVals;
   std::map<std::string, double>      fStepVals;
   std::map<std::string, int>         fTypeVals;
   std::map<std::string, bool>        fFixVals;
   std::map<std::string, bool>        fStartFixVals;
 
   //! Vector of fake parameter names
   std::map<std::string,double> fFakeVals;
 
   //! Map of thrown parameter names and values (After ThrowCovariance)
   std::map<std::string,double> fThrownVals;
 
   TH2D* fCorrel;
   TH2D* fDecomp;
   TH2D* fCovar;
   
   TH2D* fCorrelFree;
   TH2D* fDecompFree;
   TH2D* fCovarFree;
 
   std::list   <ParamPull*>  fInputThrows; //!< Pointers to pull terms
   std::vector <TH1D>        fInputDials; //!< Vector of Input Histograms
   std::vector <TMatrixDSym> fInputCovar; //!< Vector of Input Covariances  
 
   nuiskey fCompKey;
   std::vector<std::string> fThrowList;
   std::string fThrowString;
 
   int fNThrows;
   int fStartThrows;
 
 
 };
 
 /*! @} */
 #endif
diff --git a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.cxx b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.cxx
index e1ed1d0..f333b23 100644
--- a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.cxx
+++ b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.cxx
@@ -1,275 +1,164 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "T2K_SignalDef.h"
 
 #include "T2K_CC0pi_XSec_2DPcos_nu.h"
 
 
 
 //********************************************************************
 T2K_CC0pi_XSec_2DPcos_nu::T2K_CC0pi_XSec_2DPcos_nu(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "T2K_CC0pi_XSec_2DPcos_nu sample. \n" \
                         "Target: CH \n" \
                         "Flux: MINERvA Medium Energy FHC numu  \n" \
                         "Signal: CC-inclusive with theta < 20deg \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("P_{#mu} (GeV)");
   fSettings.SetYTitle("cos#theta_{#mu}");
   fSettings.SetZTitle("d^{2}#sigma/dP_{#mu}dcos#theta_{#mu} (cm^{2}/GeV)");
   fSettings.SetAllowedTypes("DIAG,FULL/FREE,SHAPE,FIX/SYSTCOV/STATCOV","FIX");
   fSettings.SetEnuRange(0.0, 10.0);
   fSettings.DefineAllowedTargets("C,H");
 
  if (fName == "T2K_CC0pi_XSec_2DPcos_nu_I") fAnalysis = 1;
   else fAnalysis = 2;
 
 
   // CCQELike plot information
   fSettings.SetTitle("T2K_CC0pi_XSec_2DPcos_nu");
   fSettings.DefineAllowedSpecies("numu");
 
   forwardgoing = (fSettings.GetS("type").find("REST") != std::string::npos);
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor automatically setup for DiffXSec/cm2/Nucleon
   fScaleFactor = ((GetEventHistogram()->Integral("width")/(fNEvents+0.)) * 1E-38 / (TotalIntegratedFlux()));
 
   // Setup Histograms
   SetHistograms();
-  StatUtils::SetDataErrorFromCov(fDataHist, fFullCovar, fMapHist, 1E-38);
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 };
 
 
 bool T2K_CC0pi_XSec_2DPcos_nu::isSignal(FitEvent *event){
   return SignalDef::isT2K_CC0pi(event, EnuMin, EnuMax, forwardgoing);
 };
 
 void T2K_CC0pi_XSec_2DPcos_nu::FillEventVariables(FitEvent* event){
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   TLorentzVector Pnu = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu = event->GetHMFSParticle(13)->fP;
 
   double pmu = Pmu.Vect().Mag()/1000.;
   double CosThetaMu = cos(Pnu.Vect().Angle(Pmu.Vect()));
 
   fXVar = pmu;
   fYVar = CosThetaMu;
 
   return;
 };
 
-// Modification is needed after the full reconfigure to move bins around
-// Otherwise this would need to be replaced by a TH2Poly which is too awkward.
-void T2K_CC0pi_XSec_2DPcos_nu::ConvertEventRates(){
-
-  // Do standard conversion.
-  Measurement2D::ConvertEventRates();
-
-  if (fAnalysis == 1){
-
-    // Following code handles weird ND280 Binning
-    int nbins = this->fMCHist->GetNbinsX() + 1;
-    double total = 0.0;
-
-    // Y = 1
-    total = 0.0;
-    for (int i = 3; i < nbins; i++){
-
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(1);
-      total += this->fMCHist->GetBinContent(i, 1) * width;
-      this->fMCHist->SetBinContent(i,1,0);
-    }
-    this->fMCHist->SetBinContent(3, 1, total / (1.0 * 29.6));
-
-    // Y = 2
-    total = 0.0;
-    for (int i = 5; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(2);
-      total += this->fMCHist->GetBinContent(i, 2)* width;
-      this->fMCHist->SetBinContent(i,2,0);
-    }
-    this->fMCHist->SetBinContent(5, 2, total / (0.6 *29.4));
-
-    // Y = 3
-    total = 0.0;
-    for (int i = 7; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(3);
-      total += this->fMCHist->GetBinContent(i, 3)* width;
-      this->fMCHist->SetBinContent(i, 3,0);
-    }
-    this->fMCHist->SetBinContent(7, 3, total/ (0.1 * 29.2));
-
-    // Y = 4
-    total = 0.0;
-    for (int i = 7; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(4);
-      total += this->fMCHist->GetBinContent(i, 4)* width;
-      this->fMCHist->SetBinContent(i, 4,0);
-    }
-    this->fMCHist->SetBinContent(7, 4, total / (0.1 * 29.2));
-
-    // Y = 5
-    total = 0.0;
-    for (int i = 8; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(5);
-      total += this->fMCHist->GetBinContent(i, 5)* width;
-      this->fMCHist->SetBinContent(i,5,0);
-    }
-    this->fMCHist->SetBinContent(8, 5, total / (0.05 * 29.0));
-
-    // Y = 6
-    total = 0.0;
-    for (int i = 9; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(6);
-      total += this->fMCHist->GetBinContent(i, 6)* width;
-      this->fMCHist->SetBinContent(i, 6,0);
-    }
-    this->fMCHist->SetBinContent(9, 6, total / (0.05 * 28.5));
-
-    // Y = 7
-    total = 0.0;
-    for (int i = 8; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(7);
-      total += this->fMCHist->GetBinContent(i, 7)* width;
-      this->fMCHist->SetBinContent(i, 7,0);
-    }
-    this->fMCHist->SetBinContent(8, 7, total/ (0.04 * 28.0));
-
-    // Y = 8
-    total = 0.0;
-    for (int i = 11; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(8);
-      total += this->fMCHist->GetBinContent(i, 8)* width;
-      this->fMCHist->SetBinContent(i, 8,0);
-    }
-    this->fMCHist->SetBinContent(11, 8, total / (0.4 * 27.0));
-
-    // Y = 9
-    total = 0.0;
-    for (int i = 9; i < nbins; i++){
-      double width = this->fMCHist->GetXaxis()->GetBinWidth(i) * this->fMCHist->GetYaxis()->GetBinWidth(9);
-      total += this->fMCHist->GetBinContent(i, 9)* width;
-      this->fMCHist->SetBinContent(i,9,0);
-    }
-    this->fMCHist->SetBinContent(9, 9, total / (0.02 * 25.0));
-  }
-
-  return;
-}
-
-
 void T2K_CC0pi_XSec_2DPcos_nu::SetHistograms(){
 
   fIsSystCov = fSettings.GetS("type").find("SYSTCOV") != std::string::npos;
   fIsStatCov = fSettings.GetS("type").find("STATCOV") != std::string::npos;
   fIsNormCov = fSettings.GetS("type").find("NORMCOV") != std::string::npos;
   fNDataPointsX = 12;
   fNDataPointsY = 10;
 
   // Open file
   std::string infile = FitPar::GetDataBase()+"/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root";
   TFile* rootfile = new TFile(infile.c_str(), "READ");
   TH2D* tempcov = NULL;
 
   // ANALYSIS 2
   if (fAnalysis == 2){
 
     // Get Data
     fDataHist = (TH2D*) rootfile->Get("analysis2_data");
     fDataHist->SetDirectory(0);
     fDataHist->SetNameTitle((fName + "_data").c_str(),
 			    (fName + "_data" + fPlotTitles).c_str());
 
     // Get Map
     fMapHist = (TH2I*) rootfile->Get("analysis2_map");
     fMapHist->SetDirectory(0);
     fMapHist->SetNameTitle((fName + "_map").c_str(),
 			    (fName + "_map" + fPlotTitles).c_str());
 
     // Get Syst/Stat Covar
     TH2D* tempsyst = (TH2D*) rootfile->Get("analysis2_systcov");
     TH2D* tempstat = (TH2D*) rootfile->Get("analysis2_statcov");
     TH2D* tempnorm = (TH2D*) rootfile->Get("analysis2_normcov");
 
     // Create covar [Default is both]
     tempcov = (TH2D*) tempsyst->Clone();
     tempcov->Reset();
 
     if (fIsSystCov) tempcov->Add(tempsyst);
     if (fIsStatCov) tempcov->Add(tempstat);
     if (fIsNormCov) tempcov->Add(tempnorm);
 
     if (!fIsSystCov && !fIsStatCov && !fIsNormCov){
       tempcov->Add(tempsyst);
       tempcov->Add(tempstat);
       tempcov->Add(tempnorm);
     }
-
-    // SARAS ANALYSIS
-  } else if (fAnalysis == 1){
-
-    //TODO (P.Stowell) Add a TH2Poly Measurement class
-    ERR(FTL) << "T2K CC0Pi Analysis 1 is not yet available due to its awkward binning!" << std::endl;
-    ERR(FTL) << "If you want to use it, add a TH2Poly Class!" << std::endl;
-    throw;
-
   }
 
+
   if (!tempcov){
     ERR(FTL) << "TEMPCOV NOT SET" << std::endl;
     throw;
   }
 
   // Setup Covar
   int nbins = tempcov->GetNbinsX();
   fFullCovar = new TMatrixDSym(nbins);
 
   for (int i = 0; i < nbins; i++){
     for (int j = 0; j < nbins; j++){
-
       (*fFullCovar)(i,j) = tempcov->GetBinContent(i+1,j+1);
-
     }
   }
   covar = StatUtils::GetInvert(fFullCovar);
   fDecomp = StatUtils::GetDecomp(covar);
 
   // Set Data Errors
   StatUtils::SetDataErrorFromCov(fDataHist, fFullCovar, fMapHist, 1E-38);
 
   // Remove root file
   rootfile->Close();
   return;
 };
diff --git a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.h b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.h
index a856cef..afcbb61 100644
--- a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.h
+++ b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu.h
@@ -1,67 +1,67 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 #ifndef T2K_CC0PI_2DPCOS_NU_H_SEEN
 #define T2K_CC0PI_2DPCOS_NU_H_SEEN
 
 #include "Measurement2D.h"
 
 class T2K_CC0pi_XSec_2DPcos_nu : public Measurement2D {
 public:
 
   /// Basic Constructor.
   /// /brief Parses two different measurements.
   ///
   /// T2K_CC0pi_XSec_2DPcos_nu    -> T2K CC0PI Analysis 2
   /// T2K_CC0pi_XSec_2DPcos_nu_I  -> T2K CC0PI Analysis 1
   /// T2K_CC0pi_XSec_2DPcos_nu_II -> T2K CC0PI Analysis 2
   T2K_CC0pi_XSec_2DPcos_nu(nuiskey samplekey);
 
   /// Virtual Destructor
   ~T2K_CC0pi_XSec_2DPcos_nu() {};
 
   /// Numu CC0PI Signal Definition
   ///
   /// /item 
   bool isSignal(FitEvent *nvect);
 
   /// Read histograms in a special way because format is different.
   /// Read from FitPar::GetDataBase()+"/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root"
   void SetHistograms();
 
   /// Bin Tmu CosThetaMu
   void FillEventVariables(FitEvent* customEvent);
 
   /// Have to do a weird event scaling for analysis 1
-  void ConvertEventRates();
+  //  void ConvertEventRates();
 
  private:
 
   bool forwardgoing;
   bool only_allowed_particles;
   bool numu_event;
   double numu_energy;
   int particle_pdg;
   double pmu, CosThetaMu;
   int fAnalysis;
 
   bool fIsSystCov, fIsStatCov, fIsNormCov;
   
 };
   
 #endif
diff --git a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu_nonuniform.cxx b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu_nonuniform.cxx
index 9f83362..d55c194 100644
--- a/src/T2K/T2K_CC0pi_XSec_2DPcos_nu_nonuniform.cxx
+++ b/src/T2K/T2K_CC0pi_XSec_2DPcos_nu_nonuniform.cxx
@@ -1,210 +1,215 @@
 // Copyright 2016 L. Pickering, P Stowell, R. Terri, C. Wilkinson, C. Wret
 
 /*******************************************************************************
 *    This file is part of NUISANCE.
 *
 *    NUISANCE is free software: you can redistribute it and/or modify
 *    it under the terms of the GNU General Public License as published by
 *    the Free Software Foundation, either version 3 of the License, or
 *    (at your option) any later version.
 *
 *    NUISANCE is distributed in the hope that it will be useful,
 *    but WITHOUT ANY WARRANTY; without even the implied warranty of
 *    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *    GNU General Public License for more details.
 *
 *    You should have received a copy of the GNU General Public License
 *    along with NUISANCE.  If not, see <http://www.gnu.org/licenses/>.
 *******************************************************************************/
 
 #include "T2K_SignalDef.h"
 
 #include "T2K_CC0pi_XSec_2DPcos_nu_nonuniform.h"
 
 
 
 //********************************************************************
 T2K_CC0pi_XSec_2DPcos_nu_nonuniform::T2K_CC0pi_XSec_2DPcos_nu_nonuniform(nuiskey samplekey) {
 //********************************************************************
 
   // Sample overview ---------------------------------------------------
   std::string descrip = "T2K_CC0pi_XSec_2DPcos_nu_nonuniform sample. \n" \
                         "Target: CH \n" \
                         "Flux: MINERvA Medium Energy FHC numu  \n" \
                         "Signal: CC-inclusive with theta < 20deg \n";
 
   // Setup common settings
   fSettings = LoadSampleSettings(samplekey);
   fSettings.SetDescription(descrip);
   fSettings.SetXTitle("P_{#mu} (GeV)");
   fSettings.SetYTitle("cos#theta_{#mu}");
   fSettings.SetZTitle("d^{2}#sigma/dP_{#mu}dcos#theta_{#mu} (cm^{2}/GeV)");
   fSettings.SetAllowedTypes("FULL,DIAG/FREE,SHAPE,FIX/SYSTCOV/STATCOV","FIX/FULL");
   fSettings.SetEnuRange(0.0, 10.0);
   fSettings.DefineAllowedTargets("C,H");
 
   fAnalysis = 1;
  
 
   // CCQELike plot information
   fSettings.SetTitle("T2K_CC0pi_XSec_2DPcos_nu_nonuniform");
   fSettings.DefineAllowedSpecies("numu");
 
   forwardgoing = (fSettings.GetS("type").find("REST") != std::string::npos);
 
   FinaliseSampleSettings();
 
   // Scaling Setup ---------------------------------------------------
   // ScaleFactor automatically setup for DiffXSec/cm2/Nucleon
   fScaleFactor = ((GetEventHistogram()->Integral("width")/(fNEvents+0.)) * 1E-38 / (TotalIntegratedFlux()));
 
   // Setup Histograms
   SetHistograms();
 
   // Final setup  ---------------------------------------------------
   FinaliseMeasurement();
 
 };
 
 
 bool T2K_CC0pi_XSec_2DPcos_nu_nonuniform::isSignal(FitEvent *event){
   return SignalDef::isT2K_CC0pi(event, EnuMin, EnuMax, forwardgoing);
 };
 
 void T2K_CC0pi_XSec_2DPcos_nu_nonuniform::FillEventVariables(FitEvent* event){
 
   if (event->NumFSParticle(13) == 0)
     return;
 
   TLorentzVector Pnu = event->GetNeutrinoIn()->fP;
   TLorentzVector Pmu = event->GetHMFSParticle(13)->fP;
 
   double pmu = Pmu.Vect().Mag()/1000.;
   double CosThetaMu = cos(Pnu.Vect().Angle(Pmu.Vect()));
 
   fXVar = pmu;
   fYVar = CosThetaMu;
 
   return;
 };
 
 void T2K_CC0pi_XSec_2DPcos_nu_nonuniform::FillHistograms(){
 
   Measurement1D::FillHistograms();
   if (Signal){
     fMCHist_Fine2D->Fill( fXVar, fYVar, Weight );
     FillMCSlice( fXVar, fYVar, Weight );
 
   }
 
 }
 
 
 // Modification is needed after the full reconfigure to move bins around
 // Otherwise this would need to be replaced by a TH2Poly which is too awkward.
 void T2K_CC0pi_XSec_2DPcos_nu_nonuniform::ConvertEventRates(){
 
+  for (int i = 0; i < 9; i++){
+    fMCHist_Slices[i]->GetSumw2();
+  }
+
   // Do standard conversion.
   Measurement1D::ConvertEventRates();
 
   // First scale MC slices also by their width in Y
   fMCHist_Slices[0]->Scale(1.0 / 1.00);
   fMCHist_Slices[1]->Scale(1.0 / 0.60);
   fMCHist_Slices[2]->Scale(1.0 / 0.10);
   fMCHist_Slices[3]->Scale(1.0 / 0.10);
   fMCHist_Slices[4]->Scale(1.0 / 0.05);
   fMCHist_Slices[5]->Scale(1.0 / 0.05);
   fMCHist_Slices[6]->Scale(1.0 / 0.04);
   fMCHist_Slices[7]->Scale(1.0 / 0.04);
   fMCHist_Slices[8]->Scale(1.0 / 0.02);
 
 
   // Now Convert into 1D list
   fMCHist->Reset();
   int bincount = 0;
   for (int i = 0; i < 9; i++){
     for (int j = 0; j < fDataHist_Slices[i]->GetNbinsX(); j++){
       fMCHist->SetBinContent(bincount+1, fMCHist_Slices[i]->GetBinContent(j+1));
+      fMCHist->SetBinError(bincount+1, fMCHist_Slices[i]->GetBinError(j+1));
       bincount++;
     }
   }
 
   return;
 }
 
 void T2K_CC0pi_XSec_2DPcos_nu_nonuniform::FillMCSlice(double x, double y, double w){
 
   if (y >= -1.0 and y < 0.0) fMCHist_Slices[0]->Fill(x,w);
   else if (y >= 0.0 and y < 0.6) fMCHist_Slices[1]->Fill(x,w);
   else if (y >= 0.6 and y < 0.7) fMCHist_Slices[2]->Fill(x,w);
   else if (y >= 0.7 and y < 0.8) fMCHist_Slices[3]->Fill(x,w);
   else if (y >= 0.8 and y < 0.85) fMCHist_Slices[4]->Fill(x,w);
   else if (y >= 0.85 and y < 0.90) fMCHist_Slices[5]->Fill(x,w);
   else if (y >= 0.90 and y < 0.94) fMCHist_Slices[6]->Fill(x,w);
   else if (y >= 0.94 and y < 0.98) fMCHist_Slices[7]->Fill(x,w);
   else if (y >= 0.98 and y <= 1.00) fMCHist_Slices[8]->Fill(x,w);
 }
 
 
 void T2K_CC0pi_XSec_2DPcos_nu_nonuniform::SetHistograms(){
 
   // Read in 1D Data Histograms
   fInputFile = new TFile( (FitPar::GetDataBase() + "/T2K/CC0pi/T2K_CC0PI_2DPmuCosmu_Data.root").c_str(),"READ");
   fInputFile->ls();
   
   // Read in 1D Data
   fDataHist = (TH1D*) fInputFile->Get("datahist");
 
   fMCHist_Fine2D = new TH2D("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_Fine2D","T2K_CC0pi_XSec_2DPcos_nu_nonuniform_Fine2D", 400, 0.0,30.0,100,-1.0,1.0);
   SetAutoProcessTH1(fMCHist_Fine2D);
   
   TH2D* tempcov = (TH2D*) fInputFile->Get("analysis1_totcov");
 
   fFullCovar = new TMatrixDSym(fDataHist->GetNbinsX());
   for (int i = 0; i < fDataHist->GetNbinsX(); i++){
     for (int j = 0; j < fDataHist->GetNbinsX(); j++){
       (*fFullCovar)(i,j) = tempcov->GetBinContent(i+1, j+1);
     }
   }
   covar = StatUtils::GetInvert(fFullCovar);
   fDecomp = StatUtils::GetDecomp(fFullCovar);
   
   // Read in 2D Data
   fDataPoly = (TH2Poly*) fInputFile->Get("datapoly");
   fDataPoly->SetNameTitle("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_datapoly","T2K_CC0pi_XSec_2DPcos_nu_nonuniform_datapoly");
   SetAutoProcessTH1(fDataPoly, kCMD_Write);
   fDataHist->Reset();
 
   // Read in 2D Data Slices and Make MC Slices
   int bincount = 0;
   for (int i = 0; i < 9; i++){
   
     // Get Data Histogram
     fInputFile->ls();
     fDataHist_Slices.push_back((TH1D*)fInputFile->Get(Form("dataslice_%i",i))->Clone());
     fDataHist_Slices[i]->SetNameTitle(Form("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_data_Slice%i",i),
 				      (Form("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_data_Slice%i",i)));
 
     // Loop over nbins and set errors from covar
     for (int j = 0; j < fDataHist_Slices[i]->GetNbinsX(); j++){
       fDataHist_Slices[i]->SetBinError(j+1, sqrt((*fFullCovar)(bincount,bincount)) * 1E-38);
 
       std::cout << "Setting data hist " <<  fDataHist_Slices[i]->GetBinContent(j+1) << " " << fDataHist_Slices[i]->GetBinError(j+1) << std::endl;
       fDataHist->SetBinContent(bincount+1, fDataHist_Slices[i]->GetBinContent(j+1) );
       fDataHist->SetBinError(bincount+1, fDataHist_Slices[i]->GetBinError(j+1) );
 
       bincount++;
     }
 
     // Make MC Clones
     fMCHist_Slices.push_back((TH1D*) fDataHist_Slices[i]->Clone());
     fMCHist_Slices[i]->SetNameTitle(Form("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_MC_Slice%i",i),
                                       (Form("T2K_CC0pi_XSec_2DPcos_nu_nonuniform_MC_Slice%i",i)));
 
     SetAutoProcessTH1(fDataHist_Slices[i],kCMD_Write);
     SetAutoProcessTH1(fMCHist_Slices[i]);
     //    fMCHist_Slices[i]->Reset();
   }
   
   return;
 };