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diff --git a/src/MINERvA/MINERvA_SignalDef.cxx b/src/MINERvA/MINERvA_SignalDef.cxx
index 01b866d..405312a 100644
--- a/src/MINERvA/MINERvA_SignalDef.cxx
+++ b/src/MINERvA/MINERvA_SignalDef.cxx
@@ -1,512 +1,521 @@
// Copyright 2016-2021 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 "FitUtils.h"
#include "SignalDef.h"
#include "MINERvA_SignalDef.h"
#include "MINERvAUtils.h"
namespace SignalDef {
// *********************************
// MINERvA CC1pi+/- signal definition (2015 release)
// Note: There is a 2016 release which is different to this (listed below), but
// it is CCNpi+ and has a different W cut
-// Note2: The W cut is implemented in the class implementation in MINERvA/
-// rather than here so we can draw events that don't pass the W cut (W cut is
-// 1.4 GeV)
-// Could possibly be changed for slight speed increase since less events
-// would be used
//
// MINERvA signal is slightly different to MiniBooNE
//
// Exactly one negative muon
// Exactly one charged pion (both + and -); however, there is a Michel e-
// requirement but UNCLEAR IF UNFOLDED OR NOT (so don't know if should be
// applied)
// Exactly 1 charged pion exits (so + and - charge), however, has Michel
// electron requirement, so look for + only here?
// No restriction on neutral pions or other mesons
// MINERvA has unfolded and not unfolded muon phase space for 2015
+// W_TRUE < 1.4 GeV
//
// Possible issues with the data:
// 1) pi- is allowed in signal even when Michel cut included; most pi- is
// efficiency corrected in GENIE 2) There is a T_pi < 350 MeV cut coming from
// requiring a stopping pion; this is efficiency corrected in GENIE 3) There is
// a 1.5 < Enu < 10.0 cut in signal definition 4) There is an angular muon cut
// which is sometimes efficiency corrected (why we have bool isRestricted below)
//
// Nice things:
// Much data given: with and without muon angle cuts and with and without shape
// only data + covariance
//
bool isCC1pip_MINERvA(FitEvent *event, double EnuMin, double EnuMax,
bool isRestricted) {
// *********************************
// Signal is both pi+ and pi-
// WARNING: PI- CONTAMINATION IS FULLY GENIE BECAUSE THE MICHEL TAG
// First, make sure it's CCINC
if (!isCCINC(event, 14, EnuMin, EnuMax))
return false;
// Allow pi+/pi-
int piPDG[] = {211, -211};
int nLeptons = event->NumFSLeptons();
int nPion = event->NumFSParticle(piPDG);
// Check that the desired pion exists and is the only meson
if (nPion != 1)
return false;
// Check that there is only one final state lepton
if (nLeptons != 1)
return false;
// MINERvA released another CC1pi+ xsec without muon unfolding!
// here the muon angle is < 20 degrees (seen in MINOS)
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
if (isRestricted) {
double th_nu_mu = FitUtils::th(pmu, pnu) * 180. / M_PI;
if (th_nu_mu >= 20)
return false;
}
- // Extract Hadronic Mass
- double hadMass = FitUtils::Wrec(pnu, pmu);
+ double hadMass = 9999.99;
// Actual cut is True GENIE Ws! Arg.! Use gNtpcConv definition.
#ifdef __GENIE_ENABLED__
if (event->fType == kGENIE) {
EventRecord *gevent = static_cast<EventRecord *>(event->genie_event->event);
const Interaction *interaction = gevent->Summary();
const Kinematics &kine = interaction->Kine();
double Ws = kine.W(true);
- // std::cout << "Ws versus WRec = " << Ws << " vs " << hadMass << " " <<
- // kine.W(false) << std::endl;
hadMass = Ws * 1000.0;
}
+#else
+ // Extract Hadronic Mass
+ // Cut is *INDEED* on Wtrue, not Wrec, so need to pass initial state nucleon too
+ // Either a proton or a nucleon
+ int nucPDG[] = {2212, 2112};
+ // This won't work perfectly for 2p2h though
+ FitParticle *part = event->GetHMISParticle(nucPDG);
+ // There may not be an initial state nucleon if it's a coherent event
+ if (part == NULL) {
+ return 9999.999;
+ }
+ TLorentzVector pnuc = part->P4();
+ hadMass = FitUtils::Wtrue(pnu, pmu, pnuc);
+
#endif
if (hadMass > 1400.0)
return false;
return true;
};
// Updated MINERvA 2017 Signal using Wexp and no restriction on angle
bool isCC1pip_MINERvA_2017(FitEvent *event, double EnuMin, double EnuMax) {
// Signal is both pi+ and pi-
// WARNING: PI- CONTAMINATION IS FULLY GENIE BECAUSE THE MICHEL TAG
// First, make sure it's CCINC
if (!isCCINC(event, 14, EnuMin, EnuMax))
return false;
// Allow pi+/pi-
int piPDG[] = {211, -211};
int nLeptons = event->NumFSLeptons();
int nPion = event->NumFSParticle(piPDG);
// Check that the desired pion exists and is the only meson
if (nPion != 1)
return false;
// Check that there is only one final state lepton
if (nLeptons != 1)
return false;
// Get Muon and Lepton Kinematics
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
// Extract Hadronic Mass
+ // This time it's Wrec, not Wtrue
double hadMass = FitUtils::Wrec(pnu, pmu);
// Cut on 2017 data is still 1.4 GeV
if (hadMass > 1400.0)
return false;
return true;
};
// *********************************
// MINERvA CCNpi+/- signal definition from 2016 publication
// Different to CC1pi+/- listed above; additional has W < 1.8 GeV
//
// For notes on strangeness of signal definition, see CC1pip_MINERvA
//
// One negative muon
// At least one charged pion
// 1.5 < Enu < 10
// No restrictions on pi0 or other mesons or baryons
// W_reconstructed (ignoring initial state motion) cut at 1.8 GeV
//
// Also writes number of pions (nPions) if studies on this want to be done...
bool isCCNpip_MINERvA(FitEvent *event, double EnuMin, double EnuMax,
bool isRestricted, bool isWtrue) {
// *********************************
// First, make sure it's CCINC
if (!isCCINC(event, 14, EnuMin, EnuMax))
return false;
int nLeptons = event->NumFSLeptons();
// Write the number of pions to the measurement class...
// Maybe better to just do that inside the class?
int nPions = event->NumFSParticle(PhysConst::pdg_charged_pions);
// Check that there is a pion!
if (nPions == 0)
return false;
// Check that there is only one final state lepton
if (nLeptons != 1)
return false;
// Need the muon and the neutrino to check angles and W
TLorentzVector pnu = event->GetNeutrinoIn()->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
// MINERvA released some data with restricted muon angle
// Here the muon angle is < 20 degrees (seen in MINOS)
if (isRestricted) {
double th_nu_mu = FitUtils::th(pmu, pnu) * 180. / M_PI;
if (th_nu_mu >= 20.)
return false;
}
// Lastly check the W cut (always at 1.8 GeV)
double Wrec = FitUtils::Wrec(pnu, pmu) + 0.;
// Actual cut is True GENIE Ws! Arg.! Use gNtpcConv definition.
if (isWtrue) {
#ifdef __GENIE_ENABLED__
if (event->fType == kGENIE) {
GHepRecord *ghep = static_cast<GHepRecord *>(event->genie_event->event);
const Interaction *interaction = ghep->Summary();
const Kinematics &kine = interaction->Kine();
double Ws = kine.W(true);
Wrec = Ws * 1000.0; // Say Wrec is Ws
}
#endif
}
if (Wrec > 1800. || Wrec < 0.0)
return false;
return true;
};
//********************************************************************
bool isCCQEnumu_MINERvA(FitEvent *event, double EnuMin, double EnuMax,
bool fullphasespace) {
//********************************************************************
if (!isCCQELike(event, 14, EnuMin, EnuMax))
return false;
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
double ThetaMu = pnu.Vect().Angle(pmu.Vect());
double Enu_rec = FitUtils::EnuQErec(pmu, cos(ThetaMu), 34., true);
// If Restricted phase space
if (!fullphasespace && ThetaMu > 0.34906585)
return false;
// restrict energy range
if (Enu_rec < EnuMin || Enu_rec > EnuMax)
return false;
return true;
};
//********************************************************************
bool isCCQEnumubar_MINERvA(FitEvent *event, double EnuMin, double EnuMax,
bool fullphasespace) {
//********************************************************************
if (!isCCQELike(event, -14, EnuMin, EnuMax))
return false;
TLorentzVector pnu = event->GetHMISParticle(-14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(-13)->fP;
double ThetaMu = pnu.Vect().Angle(pmu.Vect());
double Enu_rec = FitUtils::EnuQErec(pmu, cos(ThetaMu), 30., true);
// If Restricted phase space
if (!fullphasespace && ThetaMu > 0.34906585)
return false;
// restrict energy range
if (Enu_rec < EnuMin || Enu_rec > EnuMax)
return false;
return true;
}
//********************************************************************
bool isCCincLowRecoil_MINERvA(FitEvent *event, double EnuMin, double EnuMax) {
//********************************************************************
if (!isCCINC(event, 14, EnuMin, EnuMax))
return false;
// Need at least one muon
if (event->NumFSParticle(13) < 1)
return false;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
// Cut on muon angle greated than 20deg
if (cos(pnu.Vect().Angle(pmu.Vect())) < 0.93969262078)
return false;
// Cut on muon energy < 1.5 GeV
if (pmu.E() / 1000.0 < 1.5)
return false;
return true;
}
// Used in 2014 muon+proton analysis
// Events with muon angles up to 70 degrees
// One right sign muon, at least one proton, no pions
// proton kinetic energies greater than 100 MeV
bool isCC0pi1p_MINERvA(FitEvent *event, double enumin, double enumax) {
bool signal =
(isCC0pi(event, 14, enumin, enumax) && // Require numu CC0pi event
HasProtonKEAboveThreshold(event, 110.0) && // With proton above threshold
(event->GetHMFSMuon())->P3().Angle((event->GetNeutrinoIn())->P3()) *
180. / M_PI <
70 // And muon within production angle
);
return signal;
}
// 2015 analysis just asks for 1pi0 and no pi+/pi-
bool isCC1pi0_MINERvA_2015(FitEvent *event, double EnuMin, double EnuMax) {
bool CC1pi0_anu = SignalDef::isCC1pi(event, -14, 111, EnuMin, EnuMax);
return CC1pi0_anu;
}
// 2016 analysis just asks for 1pi0 and no other charged tracks. Half-open to
// interpretation: we go with "charged tracks" meaning pions. You'll be forgiven
// for thinking proton tracks should be included here too but we checked with
// MINERvA
bool isCC1pi0_MINERvA_2016(FitEvent *event, double EnuMin, double EnuMax) {
bool CC1pi0_anu = SignalDef::isCC1pi(event, -14, 111, EnuMin, EnuMax);
/*
// Additionally look for charged proton track
// Comment: This is _NOT_ in the signal definition but was tested
bool HasProton = event->HasFSParticle(2212);
if (CC1pi0_anu) {
if (!HasProton) {
return true;
} else {
return false;
}
} else {
return false;
}
*/
return CC1pi0_anu;
}
// 2016 analysis just asks for 1pi0 and no other charged tracks
bool isCC1pi0_MINERvA_nu(FitEvent *event, double EnuMin, double EnuMax) {
bool CC1pi0_nu = SignalDef::isCC1pi(event, 14, 111, EnuMin, EnuMax);
return CC1pi0_nu;
}
//********************************************************************
bool isCC0pi_MINERvAPTPZ(FitEvent *event, int nuPDG, double emin, double emax) {
//********************************************************************
// Check it's CCINC
if (!SignalDef::isCCINC(event, nuPDG, emin, emax))
return false;
// Make Angle Cut > 20.0
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
double th_nu_mu = FitUtils::th(pmu, pnu) * 180. / M_PI;
if (th_nu_mu >= 20.0)
return false;
int genie_n_muons = 0;
int genie_n_mesons = 0;
int genie_n_heavy_baryons_plus_pi0s = 0;
int genie_n_photons = 0;
for (unsigned int i = 0; i < event->NParticles(); ++i) {
FitParticle *p = event->GetParticle(i);
if (p->Status() != kFinalState)
continue;
int pdg = p->fPID;
double energy = p->fP.E();
if (pdg == 13) {
genie_n_muons++;
} else if (pdg == 22 && energy > 10.0) {
genie_n_photons++;
} else if (abs(pdg) == 211 || abs(pdg) == 321 || abs(pdg) == 323 ||
pdg == 111 || pdg == 130 || pdg == 310 || pdg == 311 ||
pdg == 313 || abs(pdg) == 221 || abs(pdg) == 331) {
genie_n_mesons++;
} else if (pdg == 3112 || pdg == 3122 || pdg == 3212 || pdg == 3222 ||
pdg == 4112 || pdg == 4122 || pdg == 4212 || pdg == 4222 ||
pdg == 411 || pdg == 421 || pdg == 111) {
genie_n_heavy_baryons_plus_pi0s++;
}
}
if (genie_n_muons == 1 && genie_n_mesons == 0 &&
genie_n_heavy_baryons_plus_pi0s == 0 && genie_n_photons == 0)
return true;
+
return false;
}
// **************************************************
// Section VI Event Selection of
// https://journals.aps.org/prd/pdf/10.1103/PhysRevD.97.052002 Anti-neutrino
// charged-current Post-FSI final states without
// mesons,
// prompt photons above nuclear deexcitation
// energies heavy baryons protons above kinetic
// energy of 120 MeV
// Muon-neutrino angle of 20 degrees
// Parallel muon momentum: 1.5 GeV < P|| < 15 GeV --- N.B. APPARENTLY NOT
// INCLUDED, see below Transverse muon momentum: pT < 1.5 GeV --- N.B.
// APPARENTLY NOT INCLUDED, see below
bool isCC0pi_anti_MINERvAPTPZ(FitEvent *event, int nuPDG, double emin,
double emax) {
// **************************************************
// Check it's CCINC
if (!SignalDef::isCCINC(event, nuPDG, emin, emax))
return false;
TLorentzVector pnu = event->GetNeutrinoIn()->fP;
TLorentzVector pmu = event->GetHMFSParticle(-13)->fP;
// Make Angle Cut > 20.0
double th_nu_mu = FitUtils::th(pmu, pnu) * 180. / M_PI;
if (th_nu_mu >= 20.0)
return false;
// Heidi Schellman (schellmh@science.oregonstate.edu) assured me that the p_t
// and p_z (or p_||) cuts aren't actually implemented as a signal definition:
// they're only implemented in the binning for p_t and p_z (but not Q2QE and
// EnuQE)
/*
// Cut on pT and pZ
Double_t px = pmu.X()/1.E3;
Double_t py = pmu.Y()/1.E3;
Double_t pt = sqrt(px*px+py*py);
// Don't want to assume the event generators all have neutrino coming along z
// pz is muon momentum projected onto the neutrino direction
Double_t pz = pmu.Vect().Dot(pnu.Vect()*(1.0/pnu.Vect().Mag()))/1.E3;
if (pz > 15 || pz < 1.5) return false;
if (pt > 1.5) return false;
*/
// Find if there are any protons above 120 MeV kinetic energy
if (HasProtonKEAboveThreshold(event, 120.0))
return false;
// Particle counters
int genie_n_muons = 0;
int genie_n_mesons = 0;
int genie_n_heavy_baryons_plus_pi0s = 0;
int genie_n_photons = 0;
// Loop over the particles in the event and count them up
for (unsigned int i = 0; i < event->NParticles(); ++i) {
FitParticle *p = event->GetParticle(i);
if (p->Status() != kFinalState)
continue;
int pdg = p->fPID;
double energy = p->fP.E();
// Any charged muons
if (abs(pdg) == 13) {
genie_n_muons++;
// De-excitation photons
} else if (pdg == 22 && energy > 10.0) {
genie_n_photons++;
// Mesons
} else if (abs(pdg) == 211 || abs(pdg) == 321 || abs(pdg) == 323 ||
pdg == 111 || pdg == 130 || pdg == 310 || pdg == 311 ||
pdg == 313 || abs(pdg) == 221 || abs(pdg) == 331) {
genie_n_mesons++;
// Heavy baryons and pi0s
} else if (abs(pdg) == 3112 || abs(pdg) == 3122 || abs(pdg) == 3212 ||
abs(pdg) == 3222 || abs(pdg) == 4112 || abs(pdg) == 4122 ||
abs(pdg) == 4212 || abs(pdg) == 4222 || abs(pdg) == 411 ||
abs(pdg) == 421 || abs(pdg) == 111) {
genie_n_heavy_baryons_plus_pi0s++;
}
}
// Look for one muon with no mesons, heavy baryons or deexcitation photons
if (genie_n_muons == 1 && genie_n_mesons == 0 &&
genie_n_heavy_baryons_plus_pi0s == 0 && genie_n_photons == 0)
return true;
return false;
}
// MINERvA CC0pi transverse variables signal defintion
bool isCC0piNp_MINERvA_STV(FitEvent *event, double EnuMin, double EnuMax) {
// Require a numu CC0pi event
if (!isCC0pi(event, 14, EnuMin, EnuMax))
return false;
// Require at least one FS proton
if (event->NumFSParticle(2212) == 0)
return false;
TLorentzVector pnu = event->GetHMISParticle(14)->fP;
TLorentzVector pmu = event->GetHMFSParticle(13)->fP;
// Muon momentum cuts
if (pmu.Vect().Mag() < 1500 || pmu.Vect().Mag() > 10000)
return false;
// Muon angle cuts
if (pmu.Vect().Angle(pnu.Vect()) > (M_PI / 180.0) * 20.0)
return false;
const double ctheta_cut = cos((M_PI / 180.0) * 70.0);
//Did you find a proton in the PS?
if (MINERvAUtils::GetProtonInRange(event, 450, 1200, ctheta_cut).E() == 0)
return false;
return true;
};
} // namespace SignalDef
diff --git a/src/Utils/PlotUtils.cxx b/src/Utils/PlotUtils.cxx
index c08c342..912470e 100644
--- a/src/Utils/PlotUtils.cxx
+++ b/src/Utils/PlotUtils.cxx
@@ -1,1183 +1,1183 @@
// Copyright 2016-2021 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 "PlotUtils.h"
#include "FitEvent.h"
#include "StatUtils.h"
// MOVE TO GENERAL UTILS?
bool PlotUtils::CheckObjectWithName(TFile *inFile, std::string substring) {
TIter nextkey(inFile->GetListOfKeys());
TKey *key;
while ((key = (TKey *)nextkey())) {
std::string test(key->GetName());
if (test.find(substring) != std::string::npos)
return true;
}
return false;
};
// MOVE TO GENERAL UTILS?
std::string PlotUtils::GetObjectWithName(TFile *inFile, std::string substring) {
TIter nextkey(inFile->GetListOfKeys());
TKey *key;
std::string output = "";
while ((key = (TKey *)nextkey())) {
std::string test(key->GetName());
if (test.find(substring) != std::string::npos)
output = test;
}
return output;
};
void PlotUtils::CreateNeutModeArray(TH1 *hist, TH1 *neutarray[]) {
for (int i = 0; i < 60; i++) {
neutarray[i] = (TH1 *)hist->Clone(Form("%s_NMODE_%i", hist->GetName(), i));
}
return;
};
void PlotUtils::DeleteNeutModeArray(TH1 *neutarray[]) {
for (int i = 0; i < 60; i++) {
delete neutarray[i];
}
return;
};
void PlotUtils::FillNeutModeArray(TH1D *hist[], int mode, double xval,
double weight) {
if (abs(mode) > 60)
return;
hist[abs(mode)]->Fill(xval, weight);
return;
};
void PlotUtils::FillNeutModeArray(TH2D *hist[], int mode, double xval,
double yval, double weight) {
if (abs(mode) > 60)
return;
hist[abs(mode)]->Fill(xval, yval, weight);
return;
};
THStack PlotUtils::GetNeutModeStack(std::string title, TH1 *ModeStack[],
int option) {
(void)option;
THStack allmodes = THStack(title.c_str(), title.c_str());
for (int i = 0; i < 60; i++) {
allmodes.Add(ModeStack[i]);
}
// Credit to Clarence for copying all this out.
// CC
ModeStack[1]->SetTitle("CCQE");
ModeStack[1]->SetFillColor(kBlue);
// ModeStack[1]->SetFillStyle(3444);
ModeStack[1]->SetLineColor(kBlue);
ModeStack[2]->SetTitle("2p/2h Nieves");
ModeStack[2]->SetFillColor(kRed);
// ModeStack[2]->SetFillStyle(3344);
ModeStack[2]->SetLineColor(kRed);
// ModeStack[11]->SetTitle("#it{#nu + p #rightarrow l^{-} + p + #pi^{+}}");
ModeStack[11]->SetTitle("CC1#pi^{+} on p");
ModeStack[11]->SetFillColor(kGreen);
// ModeStack[11]->SetFillStyle(3004);
ModeStack[11]->SetLineColor(kGreen);
// ModeStack[12]->SetTitle("#it{#nu + n #rightarrow l^{-} + p + #pi^{0}}");
ModeStack[12]->SetTitle("CC1#pi^{0} on n");
ModeStack[12]->SetFillColor(kGreen + 3);
// ModeStack[12]->SetFillStyle(3005);
ModeStack[12]->SetLineColor(kGreen);
// ModeStack[13]->SetTitle("#it{#nu + n #rightarrow l^{-} + n + #pi^{+}}");
ModeStack[13]->SetTitle("CC1#pi^{+} on n");
ModeStack[13]->SetFillColor(kGreen - 2);
// ModeStack[13]->SetFillStyle(3004);
ModeStack[13]->SetLineColor(kGreen);
ModeStack[16]->SetTitle("CC coherent");
- ModeStack[16]->SetFillColor(kBlue);
+ ModeStack[16]->SetFillColor(kBlue-6);
// ModeStack[16]->SetFillStyle(3644);
- ModeStack[16]->SetLineColor(kBlue);
+ ModeStack[16]->SetLineColor(kBlue-6);
// ModeStack[17]->SetTitle("#it{#nu + n #rightarrow l^{-} + p + #gamma}");
ModeStack[17]->SetTitle("CC1#gamma");
ModeStack[17]->SetFillColor(kMagenta);
// ModeStack[17]->SetFillStyle(3001);
ModeStack[17]->SetLineColor(kMagenta);
ModeStack[21]->SetTitle("Multi #pi (1.3 < W < 2.0)");
ModeStack[21]->SetFillColor(kYellow);
// ModeStack[21]->SetFillStyle(3005);
ModeStack[21]->SetLineColor(kYellow);
// ModeStack[22]->SetTitle("#it{#nu + n #rightarrow l^{-} + p + #eta^{0}}");
ModeStack[22]->SetTitle("CC1#eta^{0} on n");
ModeStack[22]->SetFillColor(kYellow - 2);
// ModeStack[22]->SetFillStyle(3013);
ModeStack[22]->SetLineColor(kYellow - 2);
// ModeStack[23]->SetTitle("#it{#nu + n #rightarrow l^{-} + #Lambda +
// K^{+}}");
ModeStack[23]->SetTitle("CC1#Labda1K^{+}");
ModeStack[23]->SetFillColor(kYellow - 6);
// ModeStack[23]->SetFillStyle(3013);
ModeStack[23]->SetLineColor(kYellow - 6);
ModeStack[26]->SetTitle("DIS (W > 2.0)");
- ModeStack[26]->SetFillColor(kRed);
+ ModeStack[26]->SetFillColor(kRed-6);
// ModeStack[26]->SetFillStyle(3006);
- ModeStack[26]->SetLineColor(kRed);
+ ModeStack[26]->SetLineColor(kRed-6);
// NC
// ModeStack[31]->SetTitle("#it{#nu + n #rightarrow #nu + n + #pi^{0}}");
ModeStack[31]->SetTitle("NC1#pi^{0} on n");
- ModeStack[31]->SetFillColor(kBlue);
+ ModeStack[31]->SetFillColor(kBlue-4);
// ModeStack[31]->SetFillStyle(3004);
- ModeStack[31]->SetLineColor(kBlue);
+ ModeStack[31]->SetLineColor(kBlue-4);
// ModeStack[32]->SetTitle("#it{#nu + p #rightarrow #nu + p + #pi^{0}}");
ModeStack[32]->SetTitle("NC1#pi^{0} on p");
ModeStack[32]->SetFillColor(kBlue + 3);
// ModeStack[32]->SetFillStyle(3004);
ModeStack[32]->SetLineColor(kBlue + 3);
// ModeStack[33]->SetTitle("#it{#nu + n #rightarrow #nu + p + #pi^{-}}");
ModeStack[33]->SetTitle("NC1#pi^{-} on n");
ModeStack[33]->SetFillColor(kBlue - 2);
// ModeStack[33]->SetFillStyle(3005);
ModeStack[33]->SetLineColor(kBlue - 2);
// ModeStack[34]->SetTitle("#it{#nu + p #rightarrow #nu + n + #pi^{+}}");
ModeStack[34]->SetTitle("NC1#pi^{+} on p");
ModeStack[34]->SetFillColor(kBlue - 8);
// ModeStack[34]->SetFillStyle(3005);
ModeStack[34]->SetLineColor(kBlue - 8);
ModeStack[36]->SetTitle("NC Coherent");
ModeStack[36]->SetFillColor(kBlue + 8);
// ModeStack[36]->SetFillStyle(3644);
ModeStack[36]->SetLineColor(kBlue + 8);
// ModeStack[38]->SetTitle("#it{#nu + n #rightarrow #nu + n + #gamma}");
ModeStack[38]->SetTitle("NC1#gamma on n");
ModeStack[38]->SetFillColor(kMagenta);
// ModeStack[38]->SetFillStyle(3001);
ModeStack[38]->SetLineColor(kMagenta);
// ModeStack[39]->SetTitle("#it{#nu + p #rightarrow #nu + p + #gamma}");
ModeStack[39]->SetTitle("NC1#gamma on p");
ModeStack[39]->SetFillColor(kMagenta - 10);
// ModeStack[39]->SetFillStyle(3001);
ModeStack[39]->SetLineColor(kMagenta - 10);
ModeStack[41]->SetTitle("Multi #pi (1.3 < W < 2.0)");
ModeStack[41]->SetFillColor(kBlue - 10);
// ModeStack[41]->SetFillStyle(3005);
ModeStack[41]->SetLineColor(kBlue - 10);
// ModeStack[42]->SetTitle("#it{#nu + n #rightarrow #nu + n + #eta^{0}}");
ModeStack[42]->SetTitle("NC1#eta^{0} on n");
ModeStack[42]->SetFillColor(kYellow - 2);
// ModeStack[42]->SetFillStyle(3013);
ModeStack[42]->SetLineColor(kYellow - 2);
// ModeStack[43]->SetTitle("#it{#nu + p #rightarrow #nu + p + #eta^{0}}");
ModeStack[43]->SetTitle("NC1#eta^{0} on p");
ModeStack[43]->SetFillColor(kYellow - 4);
// ModeStack[43]->SetFillStyle(3013);
ModeStack[43]->SetLineColor(kYellow - 4);
// ModeStack[44]->SetTitle("#it{#nu + n #rightarrow #nu + #Lambda + K^{0}}");
ModeStack[44]->SetTitle("NC1#Lambda1K^{0} on n");
ModeStack[44]->SetFillColor(kYellow - 6);
// ModeStack[44]->SetFillStyle(3014);
ModeStack[44]->SetLineColor(kYellow - 6);
// ModeStack[45]->SetTitle("#it{#nu + p #rightarrow #nu + #Lambda + K^{+}}");
ModeStack[45]->SetTitle("NC1#Lambda1K^{+}");
ModeStack[45]->SetFillColor(kYellow - 10);
// ModeStack[45]->SetFillStyle(3014);
ModeStack[45]->SetLineColor(kYellow - 10);
ModeStack[46]->SetTitle("DIS (W > 2.0)");
- ModeStack[46]->SetFillColor(kRed);
+ ModeStack[46]->SetFillColor(kRed-6);
// ModeStack[46]->SetFillStyle(3006);
- ModeStack[46]->SetLineColor(kRed);
+ ModeStack[46]->SetLineColor(kRed-6);
// ModeStack[51]->SetTitle("#it{#nu + p #rightarrow #nu + p}");
ModeStack[51]->SetTitle("NC on p");
ModeStack[51]->SetFillColor(kBlack);
// ModeStack[51]->SetFillStyle(3444);
ModeStack[51]->SetLineColor(kBlack);
// ModeStack[52]->SetTitle("#it{#nu + n #rightarrow #nu + n}");
ModeStack[52]->SetTitle("NC on n");
ModeStack[52]->SetFillColor(kGray);
// ModeStack[52]->SetFillStyle(3444);
ModeStack[52]->SetLineColor(kGray);
return allmodes;
};
TLegend PlotUtils::GenerateStackLegend(THStack stack, int xlow, int ylow,
int xhigh, int yhigh) {
TLegend leg = TLegend(xlow, ylow, xhigh, yhigh);
TObjArray *histarray = stack.GetStack();
int nhist = histarray->GetEntries();
for (int i = 0; i < nhist; i++) {
TH1 *hist = (TH1 *)(histarray->At(i));
leg.AddEntry((hist), ((TH1 *)histarray->At(i))->GetTitle(), "fl");
}
leg.SetName(Form("%s_LEG", stack.GetName()));
return leg;
};
void PlotUtils::ScaleNeutModeArray(TH1 *hist[], double factor,
std::string option) {
for (int i = 0; i < 60; i++) {
if (hist[i])
hist[i]->Scale(factor, option.c_str());
}
return;
};
void PlotUtils::ResetNeutModeArray(TH1 *hist[]) {
for (int i = 0; i < 60; i++) {
if (hist[i])
hist[i]->Reset();
}
return;
};
//********************************************************************
// This assumes the Enu axis is the x axis, as is the case for MiniBooNE 2D
// distributions
void PlotUtils::FluxUnfoldedScaling(TH2D *fMCHist, TH1D *fhist, TH1D *ehist,
double scalefactor) {
//********************************************************************
// Make clones to avoid changing stuff
TH1D *eventhist = (TH1D *)ehist->Clone();
TH1D *fFluxHist = (TH1D *)fhist->Clone();
// Undo width integral in SF
fMCHist->Scale(scalefactor /
eventhist->Integral(1, eventhist->GetNbinsX() + 1, "width"));
// Standardise The Flux
eventhist->Scale(1.0 / fFluxHist->Integral());
fFluxHist->Scale(1.0 / fFluxHist->Integral());
// Do interpolation for 2D plots?
// fFluxHist = PlotUtils::InterpolateFineHistogram(fFluxHist,100,"width");
// eventhist = PlotUtils::InterpolateFineHistogram(eventhist,100,"width");
// eventhist->Scale(1.0/fFluxHist->Integral());
// fFluxHist->Scale(1.0/fFluxHist->Integral());
// Scale fMCHist by eventhist integral
fMCHist->Scale(eventhist->Integral(1, eventhist->GetNbinsX() + 1));
// Find which axis is the Enu axis
bool EnuOnXaxis = false;
std::string xaxis = fMCHist->GetXaxis()->GetTitle();
if (xaxis.find("E") != std::string::npos &&
xaxis.find("nu") != std::string::npos)
EnuOnXaxis = true;
std::string yaxis = fMCHist->GetYaxis()->GetTitle();
if (yaxis.find("E") != std::string::npos &&
xaxis.find("nu") != std::string::npos) {
// First check that xaxis didn't also find Enu
if (EnuOnXaxis) {
NUIS_ERR(FTL, fMCHist->GetTitle() << " error:");
NUIS_ERR(FTL, "Found Enu in xaxis title: " << xaxis);
NUIS_ERR(FTL, "AND");
NUIS_ERR(FTL, "Found Enu in yaxis title: " << yaxis);
NUIS_ABORT("Enu on x and Enu on y flux unfolded scaling isn't "
"implemented, please modify "
<< __FILE__ << ":" << __LINE__);
}
EnuOnXaxis = false;
}
// Now Get a flux PDF assuming X axis is Enu
TH1D *pdfflux = NULL;
// If xaxis is Enu
if (EnuOnXaxis)
pdfflux = (TH1D *)fMCHist->ProjectionX()->Clone();
// If yaxis is Enu
else
pdfflux = (TH1D *)fMCHist->ProjectionY()->Clone();
// pdfflux->Write( (std::string(fMCHist->GetName()) + "_PROJX").c_str());
pdfflux->Reset();
// Awful MiniBooNE Check for the time being
// Needed because the flux is in GeV whereas the measurement is in MeV
bool ismb =
std::string(fMCHist->GetName()).find("MiniBooNE") != std::string::npos;
for (int i = 0; i < pdfflux->GetNbinsX(); i++) {
double Ml = pdfflux->GetXaxis()->GetBinLowEdge(i + 1);
double Mh = pdfflux->GetXaxis()->GetBinLowEdge(i + 2);
// double Mc = pdfflux->GetXaxis()->GetBinCenter(i+1);
// double Mw = pdfflux->GetBinWidth(i+1);
double fluxint = 0.0;
// Scaling to match flux for MB
if (ismb) {
Ml /= 1.E3;
Mh /= 1.E3;
// Mc /= 1.E3;
// Mw /= 1.E3;
}
for (int j = 0; j < fFluxHist->GetNbinsX(); j++) {
// double Fc = fFluxHist->GetXaxis()->GetBinCenter(j+1);
double Fl = fFluxHist->GetXaxis()->GetBinLowEdge(j + 1);
double Fh = fFluxHist->GetXaxis()->GetBinLowEdge(j + 2);
double Fe = fFluxHist->GetBinContent(j + 1);
double Fw = fFluxHist->GetXaxis()->GetBinWidth(j + 1);
if (Fl >= Ml and Fh <= Mh) {
fluxint += Fe;
} else if (Fl < Ml and Fl < Mh and Fh > Ml and Fh < Mh) {
fluxint += Fe * (Fh - Ml) / Fw;
} else if (Fh > Mh and Fl < Mh and Fh > Ml and Fl > Ml) {
fluxint += Fe * (Mh - Fl) / Fw;
} else if (Ml >= Fl and Mh <= Fh) {
fluxint += Fe * (Mh - Ml) / Fw;
} else {
continue;
}
}
pdfflux->SetBinContent(i + 1, fluxint);
}
// Then finally divide by the bin-width in
for (int i = 0; i < fMCHist->GetNbinsX(); i++) {
for (int j = 0; j < fMCHist->GetNbinsY(); j++) {
if (pdfflux->GetBinContent(i + 1) == 0.0)
continue;
// Different scaling depending on if Enu is on x or y axis
double scaling = 1.0;
// If Enu is on the x-axis, we want the ith entry of the flux
// And to divide by the bin width of the jth bin
if (EnuOnXaxis) {
double binWidth = fMCHist->GetYaxis()->GetBinLowEdge(j + 2) -
fMCHist->GetYaxis()->GetBinLowEdge(j + 1);
scaling = pdfflux->GetBinContent(i + 1) * binWidth;
} else {
double binWidth = fMCHist->GetXaxis()->GetBinLowEdge(i + 2) -
fMCHist->GetXaxis()->GetBinLowEdge(i + 1);
scaling = pdfflux->GetBinContent(j + 1) * binWidth;
}
// fMCHist->SetBinContent(i + 1, j + 1,
// fMCHist->GetBinContent(i + 1, j + 1) /
// pdfflux->GetBinContent(i + 1) / binWidth);
// fMCHist->SetBinError(i + 1, j + 1, fMCHist->GetBinError(i + 1, j + 1) /
// pdfflux->GetBinContent(i + 1) /
// binWidth);
fMCHist->SetBinContent(i + 1, j + 1,
fMCHist->GetBinContent(i + 1, j + 1) / scaling);
fMCHist->SetBinError(i + 1, j + 1,
fMCHist->GetBinError(i + 1, j + 1) / scaling);
}
}
delete eventhist;
delete fFluxHist;
};
TH1D *PlotUtils::InterpolateFineHistogram(TH1D *hist, int res,
std::string opt) {
int nbins = hist->GetNbinsX();
double elow = hist->GetXaxis()->GetBinLowEdge(1);
double ehigh = hist->GetXaxis()->GetBinLowEdge(nbins + 1);
bool width = true; // opt.find("width") != std::string::npos;
TH1D *fine = new TH1D("fine", "fine", nbins * res, elow, ehigh);
TGraph *temp = new TGraph();
for (int i = 0; i < nbins; i++) {
double E = hist->GetXaxis()->GetBinCenter(i + 1);
double C = hist->GetBinContent(i + 1);
double W = hist->GetXaxis()->GetBinWidth(i + 1);
if (!width)
W = 1.0;
if (W != 0.0)
temp->SetPoint(temp->GetN(), E, C / W);
}
for (int i = 0; i < fine->GetNbinsX(); i++) {
double E = fine->GetXaxis()->GetBinCenter(i + 1);
double W = fine->GetBinWidth(i + 1);
if (!width)
W = 1.0;
fine->SetBinContent(i + 1, temp->Eval(E, 0, "S") * W);
}
fine->Scale(hist->Integral(1, hist->GetNbinsX() + 1) /
fine->Integral(1, fine->GetNbinsX() + 1));
// std::cout << "Interpolation Difference = "
//<< fine->Integral(1, fine->GetNbinsX() + 1) << "/"
//<< hist->Integral(1, hist->GetNbinsX() + 1) << std::endl;
return fine;
}
//********************************************************************
// This interpolates the flux by a TGraph instead of requiring the flux and MC
// flux to have the same binning
void PlotUtils::FluxUnfoldedScaling(TH1D *mcHist, TH1D *fhist, TH1D *ehist,
double scalefactor, int nevents) {
//********************************************************************
TH1D *eventhist = (TH1D *)ehist->Clone();
TH1D *fFluxHist = (TH1D *)fhist->Clone();
std::string name = std::string(mcHist->GetName());
if (FitPar::Config().GetParB("save_flux_debug")) {
mcHist->Write((name + "_UNF_MC").c_str());
fFluxHist->Write((name + "_UNF_FLUX").c_str());
eventhist->Write((name + "_UNF_EVT").c_str());
TH1D *scalehist = new TH1D("scalehist", "scalehist", 1, 0.0, 1.0);
scalehist->SetBinContent(1, scalefactor);
scalehist->SetBinContent(2, nevents);
scalehist->Write((name + "_UNF_SCALE").c_str());
}
// Undo width integral in SF
mcHist->Scale(scalefactor /
eventhist->Integral(1, eventhist->GetNbinsX() + 1, "width"));
// Standardise The Flux
eventhist->Scale(1.0 / fFluxHist->Integral());
fFluxHist->Scale(1.0 / fFluxHist->Integral());
// Scale mcHist by eventhist integral
mcHist->Scale(eventhist->Integral(1, eventhist->GetNbinsX() + 1));
// Now Get a flux PDF
TH1D *pdfflux = (TH1D *)mcHist->Clone();
pdfflux->Reset();
for (int i = 0; i < mcHist->GetNbinsX(); i++) {
double Ml = mcHist->GetXaxis()->GetBinLowEdge(i + 1);
double Mh = mcHist->GetXaxis()->GetBinLowEdge(i + 2);
// double Mc = mcHist->GetXaxis()->GetBinCenter(i+1);
// double Me = mcHist->GetBinContent(i+1);
// double Mw = mcHist->GetBinWidth(i+1);
double fluxint = 0.0;
for (int j = 0; j < fFluxHist->GetNbinsX(); j++) {
// double Fc = fFluxHist->GetXaxis()->GetBinCenter(j+1);
double Fl = fFluxHist->GetXaxis()->GetBinLowEdge(j + 1);
double Fh = fFluxHist->GetXaxis()->GetBinLowEdge(j + 2);
double Fe = fFluxHist->GetBinContent(j + 1);
double Fw = fFluxHist->GetXaxis()->GetBinWidth(j + 1);
if (Fl >= Ml and Fh <= Mh) {
fluxint += Fe;
} else if (Fl < Ml and Fl < Mh and Fh > Ml and Fh < Mh) {
fluxint += Fe * (Fh - Ml) / Fw;
} else if (Fh > Mh and Fl < Mh and Fh > Ml and Fl > Ml) {
fluxint += Fe * (Mh - Fl) / Fw;
} else if (Ml >= Fl and Mh <= Fh) {
fluxint += Fe * (Mh - Ml) / Fw;
} else {
continue;
}
}
pdfflux->SetBinContent(i + 1, fluxint);
}
if (FitPar::Config().GetParB("save_flux_debug")) {
pdfflux->Write((name + "_UNF_SCALEHIST").c_str());
}
// Scale MC hist by pdfflux
for (int i = 0; i < mcHist->GetNbinsX(); i++) {
if (pdfflux->GetBinContent(i + 1) == 0.0)
continue;
mcHist->SetBinContent(i + 1, mcHist->GetBinContent(i + 1) /
pdfflux->GetBinContent(i + 1));
mcHist->SetBinError(i + 1, mcHist->GetBinError(i + 1) /
pdfflux->GetBinContent(i + 1));
}
delete eventhist;
delete fFluxHist;
};
// MOVE TO GENERAL UTILS
//********************************************************************
void PlotUtils::Set2DHistFromText(std::string dataFile, TH2 *hist, double norm,
bool skipbins) {
//********************************************************************
std::string line;
std::ifstream data(dataFile.c_str(), std::ifstream::in);
int yBin = 0;
while (std::getline(data >> std::ws, line, '\n')) {
std::vector<double> entries = GeneralUtils::ParseToDbl(line, " ");
// Loop over entries and insert them into the histogram
for (uint xBin = 0; xBin < entries.size(); xBin++) {
if (!skipbins || entries[xBin] != -1.0)
hist->SetBinContent(xBin + 1, yBin + 1, entries[xBin] * norm);
}
yBin++;
}
return;
}
// MOVE TO GENERAL UTILS
TH1D *PlotUtils::GetTH1DFromFile(std::string dataFile, std::string title,
std::string fPlotTitles,
std::string alt_name) {
TH1D *tempPlot;
// If format is a root file
if (dataFile.find(".root") != std::string::npos) {
TFile *temp_infile = new TFile(dataFile.c_str(), "READ");
tempPlot = (TH1D *)temp_infile->Get(title.c_str());
tempPlot->SetDirectory(0);
temp_infile->Close();
delete temp_infile;
// Else its a space separated txt file
} else {
// Make a TGraph Errors
TGraphErrors *gr = new TGraphErrors(dataFile.c_str(), "%lg %lg %lg");
if (gr->IsZombie()) {
NUIS_ABORT(
dataFile
<< " is a zombie and could not be read. Are you sure it exists?"
<< std::endl);
}
double *bins = gr->GetX();
double *values = gr->GetY();
double *errors = gr->GetEY();
int npoints = gr->GetN();
// Fill the histogram from it
tempPlot = new TH1D(title.c_str(), title.c_str(), npoints - 1, bins);
for (int i = 0; i < npoints; ++i) {
tempPlot->SetBinContent(i + 1, values[i]);
// If only two columns are present in the input file, use the sqrt(values)
// as the error equivalent to assuming that the error is statistical. Also
// check that we're looking at an event rate rather than a cross section
if (!errors[i] && values[i] > 1E-30) {
tempPlot->SetBinError(i + 1, sqrt(values[i]));
} else {
tempPlot->SetBinError(i + 1, errors[i]);
}
}
delete gr;
}
// Allow alternate naming for root files
if (!alt_name.empty()) {
tempPlot->SetNameTitle(alt_name.c_str(), alt_name.c_str());
}
// Allow alternate axis titles
if (!fPlotTitles.empty()) {
tempPlot->SetNameTitle(
tempPlot->GetName(),
(std::string(tempPlot->GetTitle()) + fPlotTitles).c_str());
}
return tempPlot;
};
TH1D *PlotUtils::GetRatioPlot(TH1D *hist1, TH1D *hist2, TH1D *new_hist) {
// If the hist to save into doesn't exist, make copy of first hist
if (!new_hist) new_hist = (TH1D *)hist1->Clone();
// Do bins and errors ourselves as scales can go awkward
for (int i = 0; i < new_hist->GetNbinsX(); i++) {
double binVal = 0;
double binErr = 0;
if (hist2->GetBinContent(i+1) && hist1->GetBinContent(i+1)) {
binVal = hist1->GetBinContent(i+1)/hist2->GetBinContent(i+1);
double fractErr1 = hist1->GetBinError(i+1)/hist1->GetBinContent(i+1);
double fractErr2 = hist2->GetBinError(i+1)/hist2->GetBinContent(i+1);
binErr = binVal * sqrt(fractErr1*fractErr1 + fractErr2*fractErr2);
}
new_hist->SetBinContent(i+1, binVal);
new_hist->SetBinError(i+1, binErr);
}
return new_hist;
};
TH1D *PlotUtils::GetRenormalisedPlot(TH1D *hist1, TH1D *hist2) {
// make copy of first hist
TH1D *new_hist = (TH1D *)hist1->Clone();
if (hist1->Integral("width") == 0 or hist2->Integral("width") == 0) {
new_hist->Reset();
return new_hist;
}
Double_t scaleF = hist2->Integral("width") / hist1->Integral("width");
new_hist->Scale(scaleF);
return new_hist;
};
TH1D *PlotUtils::GetShapePlot(TH1D *hist1) {
// make copy of first hist
TH1D *new_hist = (TH1D *)hist1->Clone();
if (hist1->Integral("width") == 0) {
new_hist->Reset();
return new_hist;
}
Double_t scaleF1 = 1.0 / hist1->Integral("width");
new_hist->Scale(scaleF1);
return new_hist;
};
TH1D *PlotUtils::GetShapeRatio(TH1D *hist1, TH1D *hist2) {
TH1D *new_hist1 = GetShapePlot(hist1);
TH1D *new_hist2 = GetShapePlot(hist2);
// Do bins and errors ourselves as scales can go awkward
for (int i = 0; i < new_hist1->GetNbinsX(); i++) {
if (hist2->GetBinContent(i + 1) == 0) {
new_hist1->SetBinContent(i + 1, 0.0);
}
new_hist1->SetBinContent(i + 1, new_hist1->GetBinContent(i + 1) /
new_hist2->GetBinContent(i + 1));
new_hist1->SetBinError(i + 1, new_hist1->GetBinError(i + 1) /
new_hist2->GetBinContent(i + 1));
}
delete new_hist2;
return new_hist1;
};
TH2D *PlotUtils::GetCovarPlot(TMatrixDSym *cov, std::string name,
std::string title) {
TH2D *CovarPlot;
if (cov)
CovarPlot = new TH2D((*cov));
else
CovarPlot = new TH2D(name.c_str(), title.c_str(), 1, 0, 1, 1, 0, 1);
CovarPlot->SetName(name.c_str());
CovarPlot->SetTitle(title.c_str());
return CovarPlot;
}
TH2D *PlotUtils::GetFullCovarPlot(TMatrixDSym *cov, std::string name) {
return PlotUtils::GetCovarPlot(
cov, name + "_COV", name + "_COV;Bins;Bins;Covariance (#times10^{-76})");
}
TH2D *PlotUtils::GetInvCovarPlot(TMatrixDSym *cov, std::string name) {
return PlotUtils::GetCovarPlot(
cov, name + "_INVCOV",
name + "_INVCOV;Bins;Bins;Inv. Covariance (#times10^{-76})");
}
TH2D *PlotUtils::GetDecompCovarPlot(TMatrixDSym *cov, std::string name) {
return PlotUtils::GetCovarPlot(
cov, name + "_DECCOV",
name + "_DECCOV;Bins;Bins;Decomp Covariance (#times10^{-76})");
}
TH1D *PlotUtils::GetTH1DFromRootFile(std::string file, std::string name) {
if (name.empty()) {
std::vector<std::string> tempfile = GeneralUtils::ParseToStr(file, ";");
file = tempfile[0];
name = tempfile[1];
}
TFile *rootHistFile = new TFile(file.c_str(), "READ");
TH1D *tempHist = (TH1D *)rootHistFile->Get(name.c_str())->Clone();
if (tempHist == NULL) {
NUIS_ABORT("Could not find distribution " << name << " in file " << file);
}
tempHist->SetDirectory(0);
rootHistFile->Close();
return tempHist;
}
TH2D *PlotUtils::GetTH2DFromRootFile(std::string file, std::string name) {
if (name.empty()) {
std::vector<std::string> tempfile = GeneralUtils::ParseToStr(file, ";");
file = tempfile[0];
name = tempfile[1];
}
TFile *rootHistFile = new TFile(file.c_str(), "READ");
TH2D *tempHist = (TH2D *)rootHistFile->Get(name.c_str())->Clone();
tempHist->SetDirectory(0);
rootHistFile->Close();
delete rootHistFile;
return tempHist;
}
TH1 *PlotUtils::GetTH1FromRootFile(std::string file, std::string name) {
if (name.empty()) {
std::vector<std::string> tempfile = GeneralUtils::ParseToStr(file, ";");
file = tempfile[0];
name = tempfile[1];
}
TFile *rootHistFile = new TFile(file.c_str(), "READ");
if (!rootHistFile || rootHistFile->IsZombie()) {
NUIS_ABORT("Couldn't open root file: \"" << file << "\".");
}
TH1 *tempHist = dynamic_cast<TH1 *>(rootHistFile->Get(name.c_str())->Clone());
if (!tempHist) {
NUIS_ABORT("Couldn't retrieve: \"" << name << "\" from root file: \""
<< file << "\".");
}
tempHist->SetDirectory(0);
rootHistFile->Close();
delete rootHistFile;
return tempHist;
}
TGraph *PlotUtils::GetTGraphFromRootFile(std::string file, std::string name) {
if (name.empty()) {
std::vector<std::string> tempfile = GeneralUtils::ParseToStr(file, ";");
file = tempfile[0];
name = tempfile[1];
}
TDirectory *olddir = gDirectory;
TFile *rootHistFile = new TFile(file.c_str(), "READ");
if (!rootHistFile || rootHistFile->IsZombie()) {
NUIS_ABORT("Couldn't open root file: \"" << file << "\".");
}
TDirectory *newdir = gDirectory;
TGraph *temp =
dynamic_cast<TGraph *>(rootHistFile->Get(name.c_str())->Clone());
if (!temp) {
NUIS_ABORT("Couldn't retrieve: \"" << name << "\" from root file: \""
<< file << "\".");
}
newdir->Remove(temp);
olddir->Append(temp);
rootHistFile->Close();
olddir->cd();
return temp;
}
/// Returns a vector of named TH1*s found in a single input file.
///
/// Expects a descriptor like: file.root[hist1|hist2|...]
std::vector<TH1 *>
PlotUtils::GetTH1sFromRootFile(std::string const &descriptor) {
std::vector<std::string> descriptors =
GeneralUtils::ParseToStr(descriptor, ",");
std::vector<TH1 *> hists;
for (size_t d_it = 0; d_it < descriptors.size(); ++d_it) {
std::string &d = descriptors[d_it];
std::vector<std::string> fname = GeneralUtils::ParseToStr(d, "[");
if (!fname.size() || !fname[0].length()) {
NUIS_ABORT("Couldn't find input file when attempting to parse : \""
<< d << "\". Expected input.root[hist1|hist2|...].");
}
if (fname[1][fname[1].length() - 1] == ']') {
fname[1] = fname[1].substr(0, fname[1].length() - 1);
}
std::vector<std::string> histnames =
GeneralUtils::ParseToStr(fname[1], "|");
if (!histnames.size()) {
NUIS_ABORT(
"Couldn't find any histogram name specifiers when attempting to "
"parse "
": \""
<< fname[1] << "\". Expected hist1|hist2|...");
}
TFile *rootHistFile = new TFile(fname[0].c_str(), "READ");
if (!rootHistFile || rootHistFile->IsZombie()) {
NUIS_ABORT("Couldn't open root file: \"" << fname[0] << "\".");
}
for (size_t i = 0; i < histnames.size(); ++i) {
TH1 *tempHist =
dynamic_cast<TH1 *>(rootHistFile->Get(histnames[i].c_str())->Clone());
if (!tempHist) {
NUIS_ABORT("Couldn't retrieve: \""
<< histnames[i] << "\" from root file: \"" << fname[0]
<< "\".");
}
tempHist->SetDirectory(0);
hists.push_back(tempHist);
}
rootHistFile->Close();
}
return hists;
}
// Create an array from an input file
std::vector<double> PlotUtils::GetArrayFromTextFile(std::string DataFile) {
std::string line;
std::ifstream data(DataFile.c_str(), std::ifstream::in);
// Get first line
std::getline(data >> std::ws, line, '\n');
// Convert from a string into a vector of double
std::vector<double> entries = GeneralUtils::ParseToDbl(line, " ");
return entries;
}
// Get a 2D array from a text file
std::vector<std::vector<double> >
PlotUtils::Get2DArrayFromTextFile(std::string DataFile) {
std::string line;
std::vector<std::vector<double> > DataArray;
std::ifstream data(DataFile.c_str(), std::ifstream::in);
while (std::getline(data >> std::ws, line, '\n')) {
std::vector<double> entries = GeneralUtils::ParseToDbl(line, " ");
DataArray.push_back(entries);
}
return DataArray;
}
TH2D *PlotUtils::GetTH2DFromTextFile(std::string data, std::string binx,
std::string biny) {
// First read in the binning
// Array of x binning
std::vector<double> xbins = GetArrayFromTextFile(binx);
// Array of y binning
std::vector<double> ybins = GetArrayFromTextFile(biny);
// Read in the data
std::vector<std::vector<double> > Data = Get2DArrayFromTextFile(data);
// And finally fill the data
TH2D *DataPlot = new TH2D("TempHist", "TempHist", xbins.size() - 1, &xbins[0],
ybins.size() - 1, &ybins[0]);
int nBinsX = 0;
int nBinsY = 0;
for (std::vector<std::vector<double> >::iterator it = Data.begin();
it != Data.end(); ++it) {
nBinsX++;
// Get the inner vector
std::vector<double> temp = *it;
// Save the previous number[of bins to make sure it's uniform binning
int oldBinsY = nBinsY;
// Reset the counter
nBinsY = 0;
for (std::vector<double>::iterator jt = temp.begin(); jt != temp.end();
++jt) {
nBinsY++;
DataPlot->SetBinContent(nBinsX, nBinsY, *jt);
DataPlot->SetBinError(nBinsX, nBinsY, 0.0);
}
if (oldBinsY > 0 && oldBinsY != nBinsY) {
NUIS_ERR(FTL, "Found non-uniform y-binning in " << data);
NUIS_ERR(FTL, "Previous slice: " << oldBinsY);
NUIS_ERR(FTL, "Current slice: " << nBinsY);
NUIS_ABORT("Non-uniform binning is not supported in "
"PlotUtils::GetTH2DFromTextFile");
}
}
// Check x bins
if (size_t(nBinsX + 1) != xbins.size()) {
NUIS_ERR(FTL,
"Number of x bins in data histogram does not match the binning "
"histogram!");
NUIS_ERR(
FTL,
"Are they the wrong way around (i.e. xbinning should be ybinning)?");
NUIS_ERR(FTL, "Data: " << nBinsX);
NUIS_ABORT("From " << binx << " binning: " << xbins.size());
}
// Check y bins
if (size_t(nBinsY + 1) != ybins.size()) {
NUIS_ERR(FTL,
"Number of y bins in data histogram does not match the binning "
"histogram!");
NUIS_ERR(
FTL,
"Are they the wrong way around (i.e. xbinning should be ybinning)?");
NUIS_ERR(FTL, "Data: " << nBinsY);
NUIS_ABORT("From " << biny << " binning: " << ybins.size());
}
return DataPlot;
}
TH1D *PlotUtils::GetSliceY(TH2D *Hist, int SliceNo) {
TH1D *Slice = Hist->ProjectionX(Form("%s_SLICEY%i", Hist->GetName(), SliceNo),
SliceNo, SliceNo, "e");
Slice->SetTitle(Form("%s, %.2f-%.2f", Hist->GetYaxis()->GetTitle(),
Hist->GetYaxis()->GetBinLowEdge(SliceNo),
Hist->GetYaxis()->GetBinLowEdge(SliceNo + 1)));
Slice->GetYaxis()->SetTitle(Hist->GetZaxis()->GetTitle());
return Slice;
}
TH1D *PlotUtils::GetSliceX(TH2D *Hist, int SliceNo) {
TH1D *Slice = Hist->ProjectionY(Form("%s_SLICEX%i", Hist->GetName(), SliceNo),
SliceNo, SliceNo, "e");
Slice->SetTitle(Form("%s, %.2f-%.2f", Hist->GetXaxis()->GetTitle(),
Hist->GetXaxis()->GetBinLowEdge(SliceNo),
Hist->GetXaxis()->GetBinLowEdge(SliceNo + 1)));
Slice->GetYaxis()->SetTitle(Hist->GetZaxis()->GetTitle());
return Slice;
}
void PlotUtils::AddNeutModeArray(TH1D *hist1[], TH1D *hist2[], double scaling) {
for (int i = 0; i < 60; i++) {
if (!hist2[i])
continue;
if (!hist1[i])
continue;
hist1[i]->Add(hist2[i], scaling);
}
return;
}
void PlotUtils::ScaleToData(TH1D *data, TH1D *mc, TH1I *mask) {
double scaleF = GetDataMCRatio(data, mc, mask);
mc->Scale(scaleF);
return;
}
void PlotUtils::MaskBins(TH1D *hist, TH1I *mask) {
for (int i = 0; i < hist->GetNbinsX(); i++) {
if (mask->GetBinContent(i + 1) <= 0.5)
continue;
hist->SetBinContent(i + 1, 0.0);
hist->SetBinError(i + 1, 0.0);
NUIS_LOG(DEB, "MaskBins: Set " << hist->GetName() << " Bin " << i + 1
<< " to 0.0 +- 0.0");
}
return;
}
void PlotUtils::MaskBins(TH2D *hist, TH2I *mask) {
for (int i = 0; i < hist->GetNbinsX(); i++) {
for (int j = 0; j < hist->GetNbinsY(); j++) {
if (mask->GetBinContent(i + 1, j + 1) <= 0.5)
continue;
hist->SetBinContent(i + 1, j + 1, 0.0);
hist->SetBinError(i + 1, j + 1, 0.0);
NUIS_LOG(DEB, "MaskBins: Set " << hist->GetName() << " Bin " << i + 1
<< " " << j + 1 << " to 0.0 +- 0.0");
}
}
return;
}
double PlotUtils::GetDataMCRatio(TH1D *data, TH1D *mc, TH1I *mask) {
double rat = 1.0;
TH1D *newmc = (TH1D *)mc->Clone();
TH1D *newdt = (TH1D *)data->Clone();
if (mask) {
MaskBins(newmc, mask);
MaskBins(newdt, mask);
}
rat = newdt->Integral() / newmc->Integral();
return rat;
}
TH2D *PlotUtils::GetCorrelationPlot(TH2D *cov, std::string name) {
TH2D *cor = (TH2D *)cov->Clone();
cor->Reset();
for (int i = 0; i < cov->GetNbinsX(); i++) {
for (int j = 0; j < cov->GetNbinsY(); j++) {
if (cov->GetBinContent(i + 1, i + 1) != 0.0 and
cov->GetBinContent(j + 1, j + 1) != 0.0)
cor->SetBinContent(i + 1, j + 1,
cov->GetBinContent(i + 1, j + 1) /
(sqrt(cov->GetBinContent(i + 1, i + 1) *
cov->GetBinContent(j + 1, j + 1))));
}
}
if (!name.empty()) {
cor->SetNameTitle(name.c_str(), (name + ";;correlation").c_str());
}
cor->SetMinimum(-1);
cor->SetMaximum(1);
return cor;
}
TH2D *PlotUtils::GetDecompPlot(TH2D *cov, std::string name) {
TMatrixDSym *covarmat = new TMatrixDSym(cov->GetNbinsX());
for (int i = 0; i < cov->GetNbinsX(); i++)
for (int j = 0; j < cov->GetNbinsY(); j++)
(*covarmat)(i, j) = cov->GetBinContent(i + 1, j + 1);
TMatrixDSym *decompmat = StatUtils::GetDecomp(covarmat);
TH2D *dec = (TH2D *)cov->Clone();
for (int i = 0; i < cov->GetNbinsX(); i++)
for (int j = 0; j < cov->GetNbinsY(); j++)
dec->SetBinContent(i + 1, j + 1, (*decompmat)(i, j));
delete covarmat;
delete decompmat;
dec->SetNameTitle(name.c_str(), (name + ";;;decomposition").c_str());
return dec;
}
TH2D *PlotUtils::MergeIntoTH2D(TH1D *xhist, TH1D *yhist, std::string zname) {
std::vector<double> xedges, yedges;
for (int i = 0; i < xhist->GetNbinsX() + 2; i++) {
xedges.push_back(xhist->GetXaxis()->GetBinLowEdge(i + 1));
}
for (int i = 0; i < yhist->GetNbinsX() + 2; i++) {
yedges.push_back(yhist->GetXaxis()->GetBinLowEdge(i + 1));
}
int nbinsx = xhist->GetNbinsX();
int nbinsy = yhist->GetNbinsX();
std::string name =
std::string(xhist->GetName()) + "_vs_" + std::string(yhist->GetName());
std::string titles = ";" + std::string(xhist->GetXaxis()->GetTitle()) + ";" +
std::string(yhist->GetXaxis()->GetTitle()) + ";" + zname;
TH2D *newplot = new TH2D(name.c_str(), (name + titles).c_str(), nbinsx,
&xedges[0], nbinsy, &yedges[0]);
return newplot;
}
//***************************************************
void PlotUtils::MatchEmptyBins(TH1D *data, TH1D *mc) {
//**************************************************
for (int i = 0; i < data->GetNbinsX(); i++) {
if (data->GetBinContent(i + 1) == 0.0 or data->GetBinError(i + 1) == 0.0)
mc->SetBinContent(i + 1, 0.0);
}
return;
}
//***************************************************
void PlotUtils::MatchEmptyBins(TH2D *data, TH2D *mc) {
//**************************************************
for (int i = 0; i < data->GetNbinsX(); i++) {
for (int j = 0; j < data->GetNbinsY(); j++) {
if (data->GetBinContent(i + 1, j + 1) == 0.0 or
data->GetBinError(i + 1, j + 1) == 0.0)
mc->SetBinContent(i + 1, j + 1, 0.0);
}
}
return;
}
//***************************************************
TH1D *PlotUtils::GetProjectionX(TH2D *hist, TH2I *mask) {
//***************************************************
TH2D *maskedhist = StatUtils::ApplyHistogramMasking(hist, mask);
// This includes the underflow/overflow
TH1D *hist_X =
maskedhist->ProjectionX("_px", 1, maskedhist->GetXaxis()->GetNbins());
hist_X->SetTitle(Form("%s x no under/overflow", hist_X->GetTitle()));
delete maskedhist;
return hist_X;
}
//***************************************************
TH1D *PlotUtils::GetProjectionY(TH2D *hist, TH2I *mask) {
//***************************************************
TH2D *maskedhist = StatUtils::ApplyHistogramMasking(hist, mask);
// This includes the underflow/overflow
TH1D *hist_Y =
maskedhist->ProjectionY("_py", 1, maskedhist->GetYaxis()->GetNbins());
hist_Y->SetTitle(Form("%s y no under/overflow", hist_Y->GetTitle()));
delete maskedhist;
return hist_Y;
}

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