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|
// ROOT includes
#include "RooAddPdf.h"
#include "RooCBShape.h"
#include "RooDataHist.h"
#include "RooExponential.h"
#include "RooGaussian.h"
#include "RooPlot.h"
#include "RooRealVar.h"
#include "RooVoigtian.h"
#include "TCanvas.h"
#include "TClass.h"
#include "TDirectory.h"
#include "TFile.h"
#include "TGaxis.h"
#include "TH1.h"
#include "TH2.h"
#include "TH3.h"
#include "TKey.h"
#include "TLegend.h"
#include "TObjString.h"
#include "TObject.h"
#include "TProfile.h"
#include "TRatioPlot.h"
#include "TStyle.h"
// standard includes
#include <iomanip>
#include <iostream>
#include <map>
#include <fmt/core.h>
// CMSSW classes / style
#include "Alignment/OfflineValidation/interface/FitWithRooFit.h"
#include "Alignment/OfflineValidation/macros/CMS_lumi.h"
#include "DataFormats/GeometryCommonDetAlgo/interface/Measurement1D.h"
bool debugMode_{false};
Int_t def_markers[9] = {kFullSquare,
kFullCircle,
kFullTriangleDown,
kOpenSquare,
kDot,
kOpenCircle,
kFullTriangleDown,
kFullTriangleUp,
kOpenTriangleDown};
Int_t def_colors[9] = {kBlack, kRed, kBlue, kMagenta, kGreen, kCyan, kViolet, kOrange, kGreen + 2};
namespace diMuonMassBias {
struct fitOutputs {
public:
fitOutputs(const Measurement1D& bias, const Measurement1D& width) : m_bias(bias), m_width(width) {}
// getters
const Measurement1D getBias() { return m_bias; }
const Measurement1D getWidth() { return m_width; }
bool isInvalid() const {
return (m_bias.value() == 0.f && m_bias.error() == 0.f && m_width.value() == 0.f && m_width.error() == 0.f);
}
private:
Measurement1D m_bias;
Measurement1D m_width;
};
static constexpr int minimumHits = 10;
using histoMap = std::map<std::string, TH1F*>;
using histo2DMap = std::map<std::string, TH2F*>;
using histo3DMap = std::map<std::string, TH3F*>;
using extrema = std::pair<Double_t, Double_t>;
using extremaMap = std::map<std::string, diMuonMassBias::extrema>;
} // namespace diMuonMassBias
/*--------------------------------------------------------------------*/
template <typename T>
std::map<std::string, std::vector<T>> transformMaps(const std::vector<std::map<std::string, T>>& vecOfMaps)
/*--------------------------------------------------------------------*/
{
std::map<std::string, std::vector<T>> result;
// Lambda to insert each key-value pair into the result map
auto insert_into_result = [&result](const std::map<std::string, T>& map) {
for (const auto& pair : map) {
result[pair.first].push_back(pair.second);
}
};
// Apply the lambda to each map in the vector
std::for_each(vecOfMaps.begin(), vecOfMaps.end(), insert_into_result);
return result;
}
/*--------------------------------------------------------------------*/
template <typename T>
diMuonMassBias::extremaMap getExtrema(const T& inputColl, const float sigma)
/*--------------------------------------------------------------------*/
{
diMuonMassBias::extremaMap result; // output
// first transform the map vector of maps with a map of vectors
const auto& mapOfVecs = transformMaps(inputColl);
for (const auto& [key, vec] : mapOfVecs) {
TObjArray* array = new TObjArray(vec.size());
for (const auto& histo : vec) {
array->Add(histo);
}
Double_t theMaximum = (static_cast<TH1*>(array->At(0)))->GetMaximum();
Double_t theMinimum = (static_cast<TH1*>(array->At(0)))->GetMinimum();
for (Int_t i = 0; i < array->GetSize(); i++) {
if ((static_cast<TH1*>(array->At(i)))->GetMaximum() > theMaximum) {
theMaximum = (static_cast<TH1*>(array->At(i)))->GetMaximum();
}
if ((static_cast<TH1*>(array->At(i)))->GetMinimum() < theMinimum) {
theMinimum = (static_cast<TH1*>(array->At(i)))->GetMinimum();
}
}
delete array;
const auto& delta = theMaximum - theMinimum;
result.insert({key, std::make_pair(theMinimum - (sigma * delta), theMaximum + (sigma * delta))});
}
return result;
}
/*--------------------------------------------------------------------*/
std::pair<int, int> getClosestFactors(int input)
/*--------------------------------------------------------------------*/
{
if ((input % 2 != 0) && input > 1) {
input += 1;
}
int testNum = (int)sqrt(input);
while (input % testNum != 0) {
testNum--;
}
return std::make_pair(testNum, input / testNum);
}
/*--------------------------------------------------------------------*/
template <typename T>
void MakeNicePlotStyle(T* hist)
/*--------------------------------------------------------------------*/
{
//hist->SetStats(kFALSE);
hist->SetLineWidth(2);
hist->GetXaxis()->SetNdivisions(505);
hist->GetXaxis()->CenterTitle(true);
hist->GetYaxis()->CenterTitle(true);
hist->GetXaxis()->SetTitleFont(42);
hist->GetYaxis()->SetTitleFont(42);
hist->GetXaxis()->SetTitleSize(0.05);
hist->GetYaxis()->SetTitleSize(0.05);
if (((TObject*)hist)->IsA()->InheritsFrom("TH2")) {
hist->GetZaxis()->CenterTitle(true);
hist->GetZaxis()->SetTitleSize(0.04);
hist->GetZaxis()->SetLabelFont(42);
hist->GetYaxis()->SetLabelSize(.05);
hist->GetXaxis()->SetTitleOffset(1.0);
hist->GetYaxis()->SetTitleOffset(1.0);
hist->GetZaxis()->SetTitleOffset(1.15);
} else {
hist->GetXaxis()->SetTitleOffset(0.9);
hist->GetYaxis()->SetTitleOffset(1.7);
}
hist->GetXaxis()->SetLabelFont(42);
hist->GetYaxis()->SetLabelFont(42);
if (((TObject*)hist)->IsA()->InheritsFrom("TGraph")) {
hist->GetYaxis()->SetLabelSize(.025);
//hist->GetYaxis()->SetNdivisions(505);
} else {
hist->GetYaxis()->SetLabelSize(.05);
}
hist->GetXaxis()->SetLabelSize(.05);
}
//-----------------------------------------------------------------------------------
diMuonMassBias::fitOutputs fitBWTimesCB(TH1* hist)
//-----------------------------------------------------------------------------------
{
if (hist->GetEntries() < diMuonMassBias::minimumHits) {
std::cout << " Input histogram:" << hist->GetName() << " has not enough entries (" << hist->GetEntries()
<< ") for a meaningful Voigtian fit!\n"
<< "Skipping!";
return diMuonMassBias::fitOutputs(Measurement1D(0., 0.), Measurement1D(0., 0.));
}
TCanvas* c1 = new TCanvas();
if (debugMode_) {
c1->Clear();
c1->SetLeftMargin(0.15);
c1->SetRightMargin(0.10);
}
// silence messages
RooMsgService::instance().setGlobalKillBelow(RooFit::FATAL);
Double_t xMean = 91.1876;
Double_t xMin = hist->GetXaxis()->GetXmin();
Double_t xMax = hist->GetXaxis()->GetXmax();
if (debugMode_) {
std::cout << " fitting range: (" << xMin << "-" << xMax << ")" << std::endl;
}
double sigma(2.);
double sigmaMin(0.1);
double sigmaMax(10.);
double sigma2(0.1);
double sigma2Min(0.);
double sigma2Max(10.);
std::unique_ptr<FitWithRooFit> fitter = std::make_unique<FitWithRooFit>();
bool useChi2(false);
fitter->useChi2_ = useChi2;
fitter->initMean(xMean, xMin, xMax);
fitter->initSigma(sigma, sigmaMin, sigmaMax);
fitter->initSigma2(sigma2, sigma2Min, sigma2Max);
fitter->initAlpha(1.5, 0.05, 10.);
fitter->initN(1, 0.01, 100.);
fitter->initFGCB(0.4, 0., 1.);
fitter->initGamma(2.4952, 0., 10.);
fitter->gamma()->setConstant(kTRUE);
fitter->initMean2(0., -20., 20.);
fitter->mean2()->setConstant(kTRUE);
fitter->initSigma(1.2, 0., 5.);
fitter->initAlpha(1.5, 0.05, 10.);
fitter->initN(1, 0.01, 100.);
fitter->initExpCoeffA0(-1., -10., 10.);
fitter->initExpCoeffA1(0., -10., 10.);
fitter->initExpCoeffA2(0., -2., 2.);
fitter->initFsig(0.9, 0., 1.);
fitter->initA0(0., -10., 10.);
fitter->initA1(0., -10., 10.);
fitter->initA2(0., -10., 10.);
fitter->initA3(0., -10., 10.);
fitter->initA4(0., -10., 10.);
fitter->initA5(0., -10., 10.);
fitter->initA6(0., -10., 10.);
fitter->fit(hist, "breitWignerTimesCB", "exponential", xMin, xMax, false);
TString histName = hist->GetName();
if (debugMode_) {
c1->Print("fit_debug" + histName + ".pdf");
}
delete c1;
Measurement1D resultM(fitter->mean()->getValV(), fitter->mean()->getError());
Measurement1D resultW(fitter->sigma()->getValV(), fitter->sigma()->getError());
return diMuonMassBias::fitOutputs(resultM, resultW);
}
//-----------------------------------------------------------------------------------
void fitAndFillHisto(std::pair<std::string, TH2F*> toHarvest,
diMuonMassBias::histoMap& meanHistos_,
diMuonMassBias::histoMap& widthHistos_)
//-----------------------------------------------------------------------------------
{
const auto& key = toHarvest.first;
const auto& ME = toHarvest.second;
if (debugMode_)
std::cout << "dealing with key: " << key << std::endl;
if (ME == nullptr) {
std::cout << "could not find MonitorElement for key: " << key << std::endl;
return;
}
for (int bin = 1; bin <= ME->GetNbinsY(); bin++) {
const auto& yaxis = ME->GetYaxis();
const auto& low_edge = yaxis->GetBinLowEdge(bin);
const auto& high_edge = yaxis->GetBinUpEdge(bin);
if (debugMode_)
std::cout << "dealing with bin: " << bin << " range: (" << low_edge << "," << high_edge << ")";
TH1D* Proj = ME->ProjectionX(Form("%s_proj_%i", key.c_str(), bin), bin, bin);
Proj->SetTitle(Form("%s #in (%.2f,%.2f), bin: %i", Proj->GetTitle(), low_edge, high_edge, bin));
diMuonMassBias::fitOutputs results = fitBWTimesCB(Proj);
if (results.isInvalid()) {
std::cout << "the current bin has invalid data" << std::endl;
continue;
}
// fill the mean profiles
const Measurement1D& bias = results.getBias();
meanHistos_[key]->SetBinContent(bin, bias.value());
meanHistos_[key]->SetBinError(bin, bias.error());
// fill the width profiles
const Measurement1D& width = results.getWidth();
widthHistos_[key]->SetBinContent(bin, width.value());
widthHistos_[key]->SetBinError(bin, width.error());
if (debugMode_) {
std::cout << "key: " << key << " bin: " << bin << " bias: " << bias.value()
<< " (in histo: " << meanHistos_[key]->GetBinContent(bin) << ") width: " << width.value()
<< " (in histo: " << widthHistos_[key]->GetBinContent(bin) << ")" << std::endl;
}
}
}
//-----------------------------------------------------------------------------------
void bookMaps(const diMuonMassBias::histo3DMap& harvestTargets_,
diMuonMassBias::histo2DMap& meanMaps_,
diMuonMassBias::histo2DMap& widthMaps_,
const unsigned int counter)
//-----------------------------------------------------------------------------------
{
for (const auto& [key, ME] : harvestTargets_) {
if (ME == nullptr) {
std::cout << "could not find MonitorElement for key: " << key << std::endl;
continue;
}
const auto& title = ME->GetTitle();
const auto& xtitle = ME->GetYaxis()->GetTitle();
const auto& ytitle = ME->GetZaxis()->GetTitle();
const auto& nxbins = ME->GetNbinsY();
const auto& xmin = ME->GetYaxis()->GetXmin();
const auto& xmax = ME->GetYaxis()->GetXmax();
const auto& nybins = ME->GetNbinsZ();
const auto& ymin = ME->GetZaxis()->GetXmin();
const auto& ymax = ME->GetZaxis()->GetXmax();
if (debugMode_) {
std::cout << "Booking " << key << std::endl;
}
TH2F* meanToBook =
new TH2F(fmt::format("Mean_{}_{}", counter, key).c_str(),
fmt::format("{};{};{};#LT M_{{#mu^{{-}}#mu^{{+}}}} #GT [GeV]", title, xtitle, ytitle).c_str(),
nxbins,
xmin,
xmax,
nybins,
ymin,
ymax);
if (debugMode_) {
std::cout << "after creating mean" << key << std::endl;
}
meanMaps_.insert({key, meanToBook});
if (debugMode_) {
std::cout << "after inserting mean" << key << std::endl;
}
TH2F* sigmaToBook =
new TH2F(fmt::format("Sigma_{}_{}", counter, key).c_str(),
fmt::format("{};{};#sigma of M_{{#mu^{{-}}#mu^{{+}}}} [GeV]", title, xtitle, ytitle).c_str(),
nxbins,
xmin,
xmax,
nybins,
ymin,
ymax);
if (debugMode_) {
std::cout << "after creating sigma" << key << std::endl;
}
widthMaps_.insert({key, sigmaToBook});
if (debugMode_) {
std::cout << "after inserting sigma" << key << std::endl;
}
}
}
//-----------------------------------------------------------------------------------
void fitAndFillMap(std::pair<std::string, TH3F*> toHarvest,
diMuonMassBias::histo2DMap& meanMaps_,
diMuonMassBias::histo2DMap& widthMaps_)
//-----------------------------------------------------------------------------------
{
const auto& key = toHarvest.first;
const auto& ME = toHarvest.second;
if (debugMode_)
std::cout << "dealing with key: " << key << std::endl;
if (ME == nullptr) {
std::cout << "could not find MonitorElement for key: " << key << std::endl;
return;
}
for (int binY = 1; binY <= ME->GetNbinsY(); binY++) {
const auto& yaxis = ME->GetYaxis();
const auto& y_low_edge = yaxis->GetBinLowEdge(binY);
const auto& y_high_edge = yaxis->GetBinUpEdge(binY);
for (int binZ = 1; binZ <= ME->GetNbinsZ(); binZ++) {
const auto& zaxis = ME->GetZaxis();
const auto& z_low_edge = zaxis->GetBinLowEdge(binZ);
const auto& z_high_edge = zaxis->GetBinUpEdge(binZ);
if (debugMode_) {
std::cout << "dealing with y bin: " << binY << " range: (" << y_low_edge << "," << y_high_edge << ")";
std::cout << " dealing with z bin: " << binZ << " range: (" << z_low_edge << "," << z_high_edge << ")"
<< std::endl;
}
const auto& ProjYZ = ME->ProjectionX(Form("%s_proj_%i_proj_%i", key.c_str(), binY, binZ), binY, binY, binZ, binZ);
ProjYZ->SetTitle(Form("%s #in (%.2f,%.2f) - (%.2f,%.2f), bin: %i-%i ",
ProjYZ->GetTitle(),
y_low_edge,
y_high_edge,
z_low_edge,
z_high_edge,
binY,
binZ));
diMuonMassBias::fitOutputs results = fitBWTimesCB(ProjYZ);
if (results.isInvalid()) {
std::cout << "the current bin has invalid data" << std::endl;
continue;
}
// fill the mean profiles
const Measurement1D& bias = results.getBias();
meanMaps_[key]->SetBinContent(binY, binZ, bias.value());
meanMaps_[key]->SetBinError(binY, binZ, bias.error());
// fill the width profiles
const Measurement1D& width = results.getWidth();
widthMaps_[key]->SetBinContent(binY, binZ, width.value());
widthMaps_[key]->SetBinError(binY, binZ, width.error());
if (debugMode_) {
std::cout << "key: " << key << " bin: (" << binY << "," << binZ << ") bias: " << bias.value()
<< " (in histo: " << meanMaps_[key]->GetBinContent(binY, binZ) << ") width: " << width.value()
<< " (in histo: " << widthMaps_[key]->GetBinContent(binY, binZ) << ")" << std::endl;
}
}
}
}
//-----------------------------------------------------------------------------------
void bookHistos(const diMuonMassBias::histo2DMap& harvestTargets_,
diMuonMassBias::histoMap& meanHistos_,
diMuonMassBias::histoMap& widthHistos_,
const unsigned int counter)
//-----------------------------------------------------------------------------------
{
for (const auto& [key, ME] : harvestTargets_) {
if (ME == nullptr) {
std::cout << "could not find MonitorElement for key: " << key << std::endl;
continue;
}
const auto& title = ME->GetTitle();
const auto& xtitle = ME->GetYaxis()->GetTitle();
const auto& ytitle = ME->GetXaxis()->GetTitle();
const auto& nxbins = ME->GetNbinsY();
const auto& xmin = ME->GetYaxis()->GetXmin();
const auto& xmax = ME->GetYaxis()->GetXmax();
if (debugMode_) {
std::cout << "Booking " << key << std::endl;
}
TH1F* meanToBook = new TH1F(fmt::format("Mean_{}_{}", counter, key).c_str(),
fmt::format("{};{};#LT M_{{#mu^{{-}}#mu^{{+}}}} #GT [GeV]", title, xtitle).c_str(),
nxbins,
xmin,
xmax);
if (debugMode_) {
std::cout << "after creating mean" << key << std::endl;
}
meanHistos_.insert({key, meanToBook});
if (debugMode_) {
std::cout << "after inserting mean" << key << std::endl;
}
TH1F* sigmaToBook = new TH1F(fmt::format("Sigma_{}_{}", counter, key).c_str(),
fmt::format("{};{};#sigma of M_{{#mu^{{-}}#mu^{{+}}}} [GeV]", title, xtitle).c_str(),
nxbins,
xmin,
xmax);
if (debugMode_) {
std::cout << "after creating sigma" << key << std::endl;
}
widthHistos_.insert({key, sigmaToBook});
if (debugMode_) {
std::cout << "after inserting sigma" << key << std::endl;
}
}
}
//-----------------------------------------------------------------------------------
void getMEsToHarvest(diMuonMassBias::histo2DMap& harvestTargets_,
diMuonMassBias::histo3DMap& harvestTargets3D_,
TFile* file)
//-----------------------------------------------------------------------------------
{
std::string inFolder = "DiMuonMassValidation";
// list of 2D histograms to flatten
std::vector<std::string> MEtoHarvest_ = {"th2d_mass_CosThetaCS",
"th2d_mass_DeltaEta",
"th2d_mass_EtaMinus",
"th2d_mass_EtaPlus",
"th2d_mass_PhiCS",
"th2d_mass_PhiMinus",
"th2d_mass_PhiPlus",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-barrel",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-forward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-backward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_forward-forward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_backward-backward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_forward-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-barrel",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-forward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_forward-forward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_backward-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_forward-backward"};
//loop on the list of histograms to harvest
for (const auto& hname : MEtoHarvest_) {
std::cout << "trying to get: " << hname << std::endl;
TH2F* toHarvest = (TH2F*)file->Get((inFolder + "/" + hname).c_str());
if (toHarvest == nullptr) {
std::cout << "could not find input MonitorElement: " << inFolder + "/" + hname << std::endl;
continue;
}
harvestTargets_.insert({hname, toHarvest});
}
// list of 3D histograms to flatten
std::vector<std::string> MEtoHarvest3D_ = {"th3d_mass_vs_eta_phi_plus", "th3d_mass_vs_eta_phi_minus"};
for (const auto& hname : MEtoHarvest3D_) {
std::cout << "trying to get: " << hname << std::endl;
TH3F* toHarvest = (TH3F*)file->Get((inFolder + "/" + hname).c_str());
if (toHarvest == nullptr) {
std::cout << "could not find input MonitorElement: " << inFolder + "/" + hname << std::endl;
continue;
}
harvestTargets3D_.insert({hname, toHarvest});
}
}
/************************************************/
void producePlots(const std::vector<diMuonMassBias::histoMap>& inputMap,
const std::vector<std::string>& MEtoHarvest,
const std::vector<TString>& labels,
const TString& Rlabel,
const bool useAutoLimits,
const bool isWidth)
/************************************************/
{
int W = 800;
int H = 800;
// references for T, B, L, R
float T = 0.08 * H;
float B = 0.12 * H;
float L = 0.12 * W;
float R = 0.04 * W;
// Draw the legend
TLegend* infoBox = new TLegend(0.65, 0.75, 0.95, 0.90, "");
infoBox->SetShadowColor(0); // 0 = transparent
infoBox->SetFillColor(kWhite);
infoBox->SetTextSize(0.035);
// get the extrema
diMuonMassBias::extremaMap extrema = getExtrema(inputMap, 3.f);
for (const auto& var : MEtoHarvest) {
TCanvas* c = new TCanvas(
((isWidth ? "width_" : "mean_") + var).c_str(), ((isWidth ? "width_" : "mean_") + var).c_str(), W, H);
c->SetFillColor(0);
c->SetBorderMode(0);
c->SetFrameFillStyle(0);
c->SetFrameBorderMode(0);
c->SetLeftMargin(L / W + 0.05);
c->SetRightMargin(R / W);
c->SetTopMargin(T / H);
c->SetBottomMargin(B / H);
c->SetTickx(0);
c->SetTicky(0);
c->SetGrid();
unsigned int count{0};
for (const auto& histoMap : inputMap) {
if (debugMode_) {
std::cout << var << " n.bins: " << histoMap.at(var)->GetNbinsX()
<< " entries: " << histoMap.at(var)->GetEntries() << "title: " << histoMap.at(var)->GetTitle()
<< " x-axis title: " << histoMap.at(var)->GetXaxis()->GetTitle() << std::endl;
}
if (debugMode_) {
for (int bin = 1; bin <= histoMap.at(var)->GetNbinsX(); bin++) {
std::cout << var << " bin " << bin << " : " << histoMap.at(var)->GetBinContent(bin) << " +/-"
<< histoMap.at(var)->GetBinError(bin) << std::endl;
}
}
//histoMap.at(var)->SaveAs((var+".root").c_str());
histoMap.at(var)->SetLineColor(def_colors[count]);
histoMap.at(var)->SetMarkerColor(def_colors[count]);
histoMap.at(var)->SetMarkerStyle(def_markers[count]);
histoMap.at(var)->SetMarkerSize(1.5);
// set the limits
if (!useAutoLimits) {
if (isWidth) {
// for width resolution between 0.5 and 2.8
histoMap.at(var)->GetYaxis()->SetRangeUser(0.5, 2.85);
} else {
// for mass between 90.5 and 91.5
histoMap.at(var)->GetYaxis()->SetRangeUser(90.5, 91.5);
}
} else {
histoMap.at(var)->GetYaxis()->SetRangeUser(extrema.at(var).first, extrema.at(var).second);
}
MakeNicePlotStyle<TH1>(histoMap.at(var));
c->cd();
if (count == 0) {
histoMap.at(var)->Draw("E1");
} else {
histoMap.at(var)->Draw("E1same");
}
// fill the legend only if that's the first element in the vector of variables
if (var == MEtoHarvest[0]) {
infoBox->AddEntry(histoMap.at(var), labels[count], "LP");
}
infoBox->Draw("same");
count++;
}
CMS_lumi(c, 0, 3, Rlabel);
// Find the position of the first '/'
size_t pos = var.find('/');
std::string outputName{var};
// Check if '/' is found
if (pos != std::string::npos) {
// Erase the substring before the '/' (including the '/')
outputName.erase(0, pos + 1);
}
c->SaveAs(((isWidth ? "width_" : "mean_") + outputName + ".png").c_str());
c->SaveAs(((isWidth ? "width_" : "mean_") + outputName + ".pdf").c_str());
}
}
/************************************************/
void produceMaps(const std::vector<diMuonMassBias::histo2DMap>& inputMap,
const std::vector<std::string>& MEtoHarvest,
const std::vector<TString>& labels,
const TString& Rlabel,
const bool useAutoLimits,
const bool isWidth)
/************************************************/
{
const auto& sides = getClosestFactors(labels.size());
if (debugMode_) {
std::cout << "SIDES:" << sides.second << " :" << sides.first << std::endl;
}
int W = 800 * sides.second;
int H = 600 * sides.first;
// references for T, B, L, R
float T = 0.08 * H;
float B = 0.12 * H;
float L = 0.12 * W;
float R = 0.04 * W;
// Draw the legend
TLegend* infoBox = new TLegend(0.65, 0.75, 0.95, 0.90, "");
infoBox->SetShadowColor(0); // 0 = transparent
infoBox->SetFillColor(kWhite);
infoBox->SetTextSize(0.035);
// get the extrema
diMuonMassBias::extremaMap extrema = getExtrema(inputMap, 0.f);
for (const auto& var : MEtoHarvest) {
TCanvas* c = new TCanvas(
((isWidth ? "width_" : "mean_") + var).c_str(), ((isWidth ? "width_" : "mean_") + var).c_str(), W, H);
c->SetFillColor(0);
c->SetBorderMode(0);
c->SetFrameFillStyle(0);
c->SetFrameBorderMode(0);
c->SetLeftMargin(L / W);
c->SetRightMargin(R / W);
c->SetTopMargin(T / H);
c->SetBottomMargin(B / H);
c->SetTickx(0);
c->SetTicky(0);
c->Divide(sides.second, sides.first);
unsigned int count{0};
for (const auto& histoMap : inputMap) {
if (debugMode_) {
std::cout << var << " n.bins: " << histoMap.at(var)->GetNbinsX()
<< " entries: " << histoMap.at(var)->GetEntries() << "title: " << histoMap.at(var)->GetTitle()
<< " x-axis title: " << histoMap.at(var)->GetXaxis()->GetTitle() << std::endl;
}
if (debugMode_) {
for (int bin = 1; bin <= histoMap.at(var)->GetNbinsX(); bin++) {
std::cout << var << " bin " << bin << " : " << histoMap.at(var)->GetBinContent(bin) << " +/-"
<< histoMap.at(var)->GetBinError(bin) << std::endl;
}
}
// set the limits
if (!useAutoLimits) {
if (isWidth) {
// for width resolution between 0.5 and 2.8
histoMap.at(var)->GetZaxis()->SetRangeUser(0.5, 2.85);
} else {
// for mass between 90.5 and 91.5
histoMap.at(var)->GetZaxis()->SetRangeUser(90., 92.);
}
} else {
histoMap.at(var)->GetZaxis()->SetRangeUser(extrema.at(var).first, extrema.at(var).second);
}
MakeNicePlotStyle<TH2>(histoMap.at(var));
c->cd(count + 1);
c->cd(count + 1)->SetRightMargin(0.15);
histoMap.at(var)->Draw("colz");
// fill the legend only if that's the first element in the vector of variables
if (var == MEtoHarvest[0]) {
infoBox->AddEntry(histoMap.at(var), labels[count], "LP");
}
//infoBox->Draw("same");
CMS_lumi(dynamic_cast<TPad*>(gPad), 0, 3, labels[count]);
count++;
}
// Find the position of the first '/'
size_t pos = var.find('/');
std::string outputName{var};
// Check if '/' is found
if (pos != std::string::npos) {
// Erase the substring before the '/' (including the '/')
outputName.erase(0, pos + 1);
}
c->SaveAs(((isWidth ? "width_" : "mean_") + outputName + ".png").c_str());
c->SaveAs(((isWidth ? "width_" : "mean_") + outputName + ".pdf").c_str());
}
}
/************************************************/
void DiMuonMassProfiles(TString namesandlabels, const TString& Rlabel = "", const bool useAutoLimits = false)
/************************************************/
{
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
std::vector<TString> labels;
std::vector<TFile*> sourceFiles;
namesandlabels.Remove(TString::kTrailing, ',');
TObjArray* nameandlabelpairs = namesandlabels.Tokenize(",");
for (Int_t i = 0; i < nameandlabelpairs->GetEntries(); ++i) {
TObjArray* aFileLegPair = TString(nameandlabelpairs->At(i)->GetName()).Tokenize("=");
if (aFileLegPair->GetEntries() == 2) {
sourceFiles.push_back(TFile::Open(aFileLegPair->At(0)->GetName(), "READ"));
TObjString* s_label = (TObjString*)aFileLegPair->At(1);
labels.push_back(s_label->String());
} else {
std::cout << "Please give file name and legend entry in the following form:\n"
<< " filename1=legendentry1,filename2=legendentry2\n";
return;
}
}
// for the bias plots
std::vector<diMuonMassBias::histoMap> v_meanHistos;
std::vector<diMuonMassBias::histoMap> v_widthHistos;
// for the maps
std::vector<diMuonMassBias::histo2DMap> v_meanMaps;
std::vector<diMuonMassBias::histo2DMap> v_widthMaps;
unsigned int countFiles{0};
for (const auto& file : sourceFiles) {
diMuonMassBias::histo2DMap harvestTargets;
diMuonMassBias::histo3DMap harvestTargets3D;
getMEsToHarvest(harvestTargets, harvestTargets3D, file);
diMuonMassBias::histoMap meanHistos;
diMuonMassBias::histoMap widthHistos;
bookHistos(harvestTargets, meanHistos, widthHistos, countFiles);
diMuonMassBias::histo2DMap meanMaps;
diMuonMassBias::histo2DMap widthMaps;
bookMaps(harvestTargets3D, meanMaps, widthMaps, countFiles);
for (const auto& element : harvestTargets) {
fitAndFillHisto(element, meanHistos, widthHistos);
}
v_meanHistos.push_back(meanHistos);
v_widthHistos.push_back(widthHistos);
for (const auto& element : harvestTargets3D) {
fitAndFillMap(element, meanMaps, widthMaps);
}
v_meanMaps.push_back(meanMaps);
v_widthMaps.push_back(widthMaps);
countFiles++;
}
// now do the plotting
std::vector<std::string> MEtoHarvest = {"th2d_mass_CosThetaCS",
"th2d_mass_DeltaEta",
"th2d_mass_EtaMinus",
"th2d_mass_EtaPlus",
"th2d_mass_PhiCS",
"th2d_mass_PhiMinus",
"th2d_mass_PhiPlus",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-barrel",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-forward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_barrel-backward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_forward-forward",
"TkTkMassVsPhiMinusInEtaBins/th2d_mass_PhiMinus_backward-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-barrel",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-forward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_barrel-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_forward-forward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_backward-backward",
"TkTkMassVsPhiPlusInEtaBins/th2d_mass_PhiPlus_forward-backward"};
producePlots(v_meanHistos, MEtoHarvest, labels, Rlabel, useAutoLimits, false);
producePlots(v_widthHistos, MEtoHarvest, labels, Rlabel, useAutoLimits, true);
std::vector<std::string> MEtoHarvest3D = {"th3d_mass_vs_eta_phi_plus", "th3d_mass_vs_eta_phi_minus"};
produceMaps(v_meanMaps, MEtoHarvest3D, labels, Rlabel, useAutoLimits, false);
produceMaps(v_widthMaps, MEtoHarvest3D, labels, Rlabel, useAutoLimits, true);
// finally close the file
for (const auto& file : sourceFiles) {
file->Close();
}
}
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