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diff --git a/src/T2K/T2K_CC1pip_CH_XSec_2Dpmucosmu_nu.cxx b/src/T2K/T2K_CC1pip_CH_XSec_2Dpmucosmu_nu.cxx
index 6f8ee58..b5b7c7e 100644
--- a/src/T2K/T2K_CC1pip_CH_XSec_2Dpmucosmu_nu.cxx
+++ b/src/T2K/T2K_CC1pip_CH_XSec_2Dpmucosmu_nu.cxx
@@ -1,220 +1,213 @@
#include "T2K_CC1pip_CH_XSec_2Dpmucosmu_nu.h"
#include "T2K_SignalDef.h"
//********************************************************************
T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::T2K_CC1pip_CH_XSec_2Dpmucosmu_nu(
nuiskey samplekey) {
//********************************************************************
// Sample overview ---------------------------------------------------
std::string descrip = "T2K_CC1pip_CH_XSec_nu sample. \n"
"Target: CH \n"
"Flux: T2K FHC numu \n"
"Signal: CC1pi+, costheta_mu > 0"
"https://arxiv.org/abs/1909.03936";
// Setup common settings
fSettings = LoadSampleSettings(samplekey);
fSettings.SetDescription(descrip);
fSettings.SetXTitle(" ");
fSettings.SetYTitle(
"d^{2}#sigma/dp_{#mu}dcos#theta_{#mu} (cm^{2}/(GeV/c)/nucleon)");
fSettings.SetAllowedTypes("FIX,FREE,SHAPE/DIAG,FULL/NORM/MASK", "FIX/DIAG");
fSettings.SetEnuRange(0.0, 100.0);
fSettings.DefineAllowedTargets("C,H");
// CCQELike plot information
fSettings.SetTitle("T2K_CC1pip_CH_XSec_2Dpmucosmu_nu");
fSettings.SetDataInput(GeneralUtils::GetTopLevelDir() +
"/data/T2K/CC1pip/CH/PmuThetamu.root");
fSettings.SetCovarInput(GeneralUtils::GetTopLevelDir() +
"/data/T2K/CC1pip/CH/PmuThetamu.root");
fSettings.DefineAllowedSpecies("numu");
FinaliseSampleSettings();
// Scaling Setup ---------------------------------------------------
// ScaleFactor automatically setup for DiffXSec/cm2/Nucleon
fScaleFactor = (GetEventHistogram()->Integral("width") * 1E-38) /
double(fNEvents) / TotalIntegratedFlux("width");
// Plot Setup -------------------------------------------------------
// SetDataValues( fSettings.GetDataInput() );
// SetCovarMatrix( fSettings.GetCovarInput() );
SetHistograms();
//fFullCovar = StatUtils::GetCovarFromRootFile(fSettings.GetCovarInput(),
//"Covariance_pmu_thetamu");
covar = StatUtils::GetInvert(fFullCovar);
fDecomp = StatUtils::GetDecomp(fFullCovar);
SetShapeCovar();
/*
for (int i = 0; i < covar->GetNrows(); ++i) {
for (int j = 0; j < covar->GetNrows(); ++j) {
if (i == j) std::cout << i << " " << j << " = " << 1/sqrt((*covar)(i,j)) << std::endl;
}
}
throw;
*/
// Final setup ---------------------------------------------------
FinaliseMeasurement();
};
void T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::SetHistograms() {
TFile *data = new TFile(fSettings.GetDataInput().c_str(), "open");
// std::string dataname = fSettings.Get
std::string dataname = "p_mu_theta_mu";
// Number of slices we have
const int nslices = 4;
int nbins = 0;
for (int i = 0; i < nslices; ++i) {
TH1D *slice = (TH1D *)data->Get(Form("%s_%i", dataname.c_str(), i));
slice = (TH1D *)slice->Clone((fName + Form("_data_slice%i", i)).c_str());
slice->Scale(1E-38);
slice->GetXaxis()->SetTitle(fSettings.GetS("xtitle").c_str());
slice->GetYaxis()->SetTitle(fSettings.GetS("ytitle").c_str());
fDataHist_Slices.push_back(slice);
fMCHist_Slices.push_back(
(TH1D *)slice->Clone((fName + Form("_mc_slice%i", i)).c_str()));
SetAutoProcessTH1(fDataHist_Slices[i], kCMD_Write);
SetAutoProcessTH1(fMCHist_Slices[i]);
fMCHist_Slices[i]->Reset();
fMCHist_Slices[i]->SetLineColor(kRed);
//nbins += slice->GetXaxis()->GetNbins();
nbins += slice->GetXaxis()->GetNbins()-1;
}
fDataHist = new TH1D(dataname.c_str(), dataname.c_str(), nbins, 0, nbins);
fDataHist->SetNameTitle((fName + "_data").c_str(), (fName + "_data").c_str());
int bincount = 1;
for (int i = 0; i < nslices; ++i) {
for (int j = 0; j < fDataHist_Slices[i]->GetXaxis()->GetNbins()-1; ++j) {
fDataHist->SetBinContent(bincount,
fDataHist_Slices[i]->GetBinContent(j + 1));
fDataHist->SetBinError(bincount, fDataHist_Slices[i]->GetBinError(j + 1));
TString title;
if (j == 0) {
title = "cos#theta_{#mu}=";
if (i == 0) {
title += "0-0.8, ";
} else if (i == 1) {
title += "0.8-0.85, ";
} else if (i == 2) {
title += "0.85-0.90, ";
} else if (i == 3) {
title += "0.90-1.00, ";
}
}
title +=
Form("p_{#mu}=%.2f-%.2f", fDataHist_Slices[i]->GetBinLowEdge(j + 1),
fDataHist_Slices[i]->GetBinLowEdge(j + 2));
fDataHist->GetXaxis()->SetBinLabel(bincount, title);
bincount++;
}
}
fDataHist->GetXaxis()->SetTitle(fSettings.GetS("xtitle").c_str());
fDataHist->GetYaxis()->SetTitle(fSettings.GetS("ytitle").c_str());
// Get the covariance
TMatrixDSym *temp = StatUtils::GetCovarFromRootFile(fSettings.GetCovarInput(), "Covariance_pmu_thetamu");
int ncovbins = temp->GetNrows();
fFullCovar = new TMatrixDSym(ncovbins-4);
if (ncovbins != fDataHist->GetXaxis()->GetNbins()) {
NUIS_ERR(FTL, "Number of bins in covariance matrix does not match data");
}
// Number of costhetamu slices is nslices
// Number of pmu slices is
int count1 = 0;
for (int i = 0; i < ncovbins-4; ++i) {
int count2 = 0;
- //if (i >0 && i % 5 == 0) continue;
for (int j = 0; j < ncovbins-4; ++j) {
- //if (j > 0 && j % 5 == 0) continue;
- //if (j % nslices == 0) {
- //if (count1 == count2) {
- //std::cout << count1 << ", " << count2 << " = " << sqrt((*temp)(i,j)*1E-38*1E-38) << std::endl;
- //}
-
// 1E79 matched to diagonal error
(*fFullCovar)(count1, count2) = (*temp)(i, j);
count2++;
}
count1++;
}
// Now reorganise the rows
delete temp;
};
void T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::FillEventVariables(FitEvent *event) {
if (event->NumFSParticle(13) == 0)
return;
TLorentzVector Pnu = event->GetNeutrinoIn()->fP;
TLorentzVector Pmu = event->GetHMFSParticle(13)->fP;
double pmu = FitUtils::p(Pmu);
double costhmu = cos(FitUtils::th(Pnu, Pmu));
fXVar = pmu;
fYVar = costhmu;
};
void T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::FillHistograms() {
Measurement1D::FillHistograms();
if (Signal) {
FillMCSlice(fXVar, fYVar, Weight);
}
};
void T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::ConvertEventRates() {
const int nslices = 4;
for (int i = 0; i < nslices; i++) {
fMCHist_Slices[i]->GetSumw2();
}
// Do standard conversion.
Measurement1D::ConvertEventRates();
// First scale MC slices also by their width in Y and Z
fMCHist_Slices[0]->Scale(1.0 / 0.80);
fMCHist_Slices[1]->Scale(1.0 / 0.05);
fMCHist_Slices[2]->Scale(1.0 / 0.05);
fMCHist_Slices[3]->Scale(1.0 / 0.10);
// Now Convert into 1D list
fMCHist->Reset();
int bincount = 1;
for (int i = 0; i < nslices; i++) {
for (int j = 0; j < fDataHist_Slices[i]->GetNbinsX()-1; j++) {
fMCHist->SetBinContent(bincount, fMCHist_Slices[i]->GetBinContent(j + 1));
bincount++;
}
}
}
void T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::FillMCSlice(double pmu, double cosmu,
double weight) {
// Hard code the bin edges in here
if (cosmu < 0.8) {
fMCHist_Slices[0]->Fill(pmu, weight);
} else if (cosmu > 0.8 && cosmu < 0.85) {
fMCHist_Slices[1]->Fill(pmu, weight);
} else if (cosmu > 0.85 && cosmu < 0.90) {
fMCHist_Slices[2]->Fill(pmu, weight);
} else if (cosmu > 0.90 && cosmu < 1.00) {
fMCHist_Slices[3]->Fill(pmu, weight);
}
};
//********************************************************************
bool T2K_CC1pip_CH_XSec_2Dpmucosmu_nu::isSignal(FitEvent *event) {
//********************************************************************
return SignalDef::isCC1pip_T2K_arxiv1909_03936(event, EnuMin, EnuMax,
SignalDef::kMuonFwd);
};

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