diff --git a/ecal/emcal_electrons.sh b/ecal/emcal_electrons.sh
index 132f3fe80f29e20e648a49d12ef4b2378d2621aa..2c6d3e74bd9d921eb836db2f0a259ec062e7f30b 100644
--- a/ecal/emcal_electrons.sh
+++ b/ecal/emcal_electrons.sh
@@ -104,6 +104,13 @@ if [[ "$?" -ne "0" ]] ; then
exit 1
fi
+# Script to generate energy resolution plots
+root -b -q "ecal/scripts/rec_emcal_resolution_analysis.cxx(\"${JUGGLER_DETECTOR}/${JUGGLER_REC_FILE}\")"
+if [[ "$?" -ne "0" ]] ; then
+ echo "ERROR running analysis script"
+ exit 1
+fi
+
#paste results/sim_${JUGGLER_FILE_NAME_TAG}.txt results/rec_${JUGGLER_FILE_NAME_TAG}.txt > results/eng_${JUGGLER_FILE_NAME_TAG}.txt
#root -b -q "ecal/scripts/read_eng.C(\"results/eng_${JUGGLER_FILE_NAME_TAG}.root\", \"results/eng_${JUGGLER_FILE_NAME_TAG}.txt\")"
#root -b -q "ecal/scripts/cal_eng_res.C(\"results/eng_${JUGGLER_FILE_NAME_TAG}.root\")"
diff --git a/ecal/scripts/rec_emcal_resolution_analysis.cxx b/ecal/scripts/rec_emcal_resolution_analysis.cxx
index e03b4a2ef7d887e779ba9441b5a84fade80e56b0..7fe481d8c29987bfc11a8f44583beb195c57a63a 100644
--- a/ecal/scripts/rec_emcal_resolution_analysis.cxx
+++ b/ecal/scripts/rec_emcal_resolution_analysis.cxx
@@ -7,8 +7,8 @@
#include "ROOT/RDataFrame.hxx"
#include <iostream>
-#include "dd4pod/Geant4ParticleCollection.h"
#include "dd4pod/CalorimeterHitCollection.h"
+#include "dd4pod/Geant4ParticleCollection.h"
#include "dd4pod/TrackerHitCollection.h"
#include "eicd/CalorimeterHitCollection.h"
#include "eicd/CalorimeterHitData.h"
@@ -16,10 +16,10 @@
#include "eicd/ClusterData.h"
#include "TCanvas.h"
-#include "TStyle.h"
-#include "TMath.h"
#include "TH1.h"
#include "TH1D.h"
+#include "TMath.h"
+#include "TStyle.h"
// If root cannot find a dd4pod header make sure to add the include dir to ROOT_INCLUDE_PATH:
// export ROOT_INCLUDE_PATH=$HOME/include:$ROOT_INCLUDE_PATH
@@ -45,64 +45,69 @@ void rec_emcal_resolution_analysis(const char* input_fname = "rec_emcal_uniform_
ROOT::RDataFrame d0("events", input_fname);
// Number of Clusters
- auto ncluster = [] (const std::vector<eic::ClusterData>& evt) {return (int) evt.size(); };
+ auto ncluster = [](const std::vector<eic::ClusterData>& evt) { return (int)evt.size(); };
// Cluster Energy [GeV]
- auto clusterE = [] (const std::vector<eic::ClusterData>& evt) {
- std::vector<double> result;
- for (const auto& i: evt)
- result.push_back(i.energy);
- return result;
+ auto clusterE = [](const std::vector<eic::ClusterData>& evt) {
+ std::vector<double> result;
+ for (const auto& i : evt)
+ result.push_back(i.energy);
+ return result;
};
// Thrown Energy [GeV]
auto E_thr = [](std::vector<dd4pod::Geant4ParticleData> const& input) {
- std::vector<double> result;
- result.push_back(TMath::Sqrt(input[2].psx*input[2].psx + input[2].psy*input[2].psy + input[2].psz*input[2].psz + input[2].mass*input[2].mass));
- return result;
+ std::vector<double> result;
+ result.push_back(TMath::Sqrt(input[2].psx * input[2].psx + input[2].psy * input[2].psy +
+ input[2].psz * input[2].psz + input[2].mass * input[2].mass));
+ return result;
};
- // Energy Resolution = delta(E)/E
+ // Energy Resolution = delta(E)/E
// delta(E) = (Erec - Ethr)
// E = Ethr
- auto E_res = [] (const std::vector<double>& Erec, const std::vector<double>& Ethr) {
- std::vector<double> result;
- for (const auto& E1 : Ethr) {
- for (const auto& E2 : Erec) {
- result.push_back((E2-E1)/E1);
- }
- }
- return result;
+ auto E_res = [](const std::vector<double>& Erec, const std::vector<double>& Ethr) {
+ std::vector<double> result;
+ for (const auto& E1 : Ethr) {
+ for (const auto& E2 : Erec) {
+ result.push_back((E2 - E1) / E1);
+ }
+ }
+ return result;
};
// Define variables
auto d1 = d0.Define("ncluster", ncluster, {"EcalClusters"})
- .Define("clusterE", clusterE, {"EcalClusters"})
- .Define("E_thr", E_thr, {"mcparticles2"})
- .Define("E_res", E_res, {"clusterE","E_thr"})
- ;
+ .Define("clusterE", clusterE, {"EcalClusters"})
+ .Define("E_thr", E_thr, {"mcparticles2"})
+ .Define("E_res", E_res, {"clusterE", "E_thr"});
// Define Cuts
// d2: Select Events with One Cluster
// d3: Select Events which determined their center of cluster not being on the edge of detector in addition to d2 cut
auto d2 = d1.Filter("ncluster==1");
- auto d3 = d2.Filter([=] (const std::vector<eic::ClusterData>& evt) {
- for(const auto& i: evt) {
- auto pos_x = i.position.x;
- auto pos_y = i.position.y;
- auto radial_dist = TMath::Sqrt(pos_x*pos_x + pos_y*pos_y);
- if (radial_dist > 8.0 && radial_dist < 30.0)
- return true;
- }
- return false;}, {"EcalClusters"});
-
+ auto d3 = d2.Filter(
+ [=](const std::vector<eic::ClusterData>& evt) {
+ for (const auto& i : evt) {
+ auto pos_x = i.position.x;
+ auto pos_y = i.position.y;
+ auto radial_dist = TMath::Sqrt(pos_x * pos_x + pos_y * pos_y);
+ if (radial_dist > 8.0 && radial_dist < 30.0)
+ return true;
+ }
+ return false;
+ },
+ {"EcalClusters"});
+
// Define histograms
- auto hEresNC1 = d2.Histo1D({"hEresNC1", "Energy Resolution CE vs Ethr w/ NC1; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
- auto hEresNC1EGCUT = d3.Histo1D({"hEresNC1EGCUT", "Energy Resolution CE vs Ethr w/ NC1 EGCUT; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
-
+ auto hEresNC1 =
+ d2.Histo1D({"hEresNC1", "Energy Resolution CE vs Ethr w/ NC1; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
+ auto hEresNC1EGCUT = d3.Histo1D(
+ {"hEresNC1EGCUT", "Energy Resolution CE vs Ethr w/ NC1 EGCUT; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
+
// Energy Resolution Graphs
// Divided into serveral energy bin group
- // Do gaussian git to extract mean and sigma
+ // Do gaussian fit to extract mean and sigma
int nbin = 12; // number of energy bin group
double maxEnergy = 30.0; // maximum of energy in dataset
double multiple = maxEnergy / (double)nbin; // energy interval between energy bin group
@@ -123,106 +128,110 @@ void rec_emcal_resolution_analysis(const char* input_fname = "rec_emcal_uniform_
// Define hitogram and do gaussian fit
// Save fit results; mean, sigma, error on mean & sigam
// Calculate resolution and resolution error
- for(int n=1; n <= nbin; n++) {
- maximumE = n * multiple;
- minimumE = maximumE - multiple;
- gEbin[n-1] = (maximumE + minimumE) / 2.0;
- invSqrtgEbin[n-1] = 1.0 / TMath::Sqrt(gEbin[n-1]);
- // Define histogram
- auto h = d3.Filter([=] (const std::vector<eic::ClusterData>& evt) {
- for (const auto& i: evt) {
- auto eng = i.energy;
- if (eng >= minimumE && eng < maximumE)
- return true;
- }
- return false;}, {"EcalClusters"})
- .Histo1D({"h", "Energy Resolution; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
- // Gaussian fit
- h->Fit("gaus","W,E");
- // Save fit results
- // how to access how many events in histogram: h->GetEntries();
- if(h->GetFunction("gaus")) {
- mean[n-1] = TMath::Abs(h->GetFunction("gaus")->GetParameter(1));
- dmean[n-1] = h->GetFunction("gaus")->GetParError(1);
- sigma[n-1] = h->GetFunction("gaus")->GetParameter(2);
- dsigma[n-1] = h->GetFunction("gaus")->GetParError(2);
- resolution[n-1] = sigma[n-1] / mean[n-1];
- resolutionErrorSigma = dsigma[n-1] / mean[n-1];
- resolutionErrorMean = dmean[n-1] * sigma[n-1];
- resolutionError[n-1] = TMath::Sqrt(resolutionErrorSigma*resolutionErrorSigma + resolutionErrorMean*resolutionErrorMean);
- xerror[n-1] = 0.0;
- }
- // Draw histogram, but
- // Just save fit results
- //TCanvas *c = new TCanvas("c", "c", 500, 500);
- //h->GetYaxis()->SetTitleOffset(1.4);
- //h->SetLineWidth(2);
- //h->SetLineColor(kBlue);
- //h->Fit("gaus","W,E");
- //h->DrawClone();
- //c->SaveAs("results/h.png");
+ for (int n = 1; n <= nbin; n++) {
+ maximumE = n * multiple;
+ minimumE = maximumE - multiple;
+ gEbin[n - 1] = (maximumE + minimumE) / 2.0;
+ invSqrtgEbin[n - 1] = 1.0 / TMath::Sqrt(gEbin[n - 1]);
+ // Define histogram
+ auto h = d3.Filter(
+ [=](const std::vector<eic::ClusterData>& evt) {
+ for (const auto& i : evt) {
+ auto eng = i.energy;
+ if (eng >= minimumE && eng < maximumE)
+ return true;
+ }
+ return false;
+ },
+ {"EcalClusters"})
+ .Histo1D({"h", "Energy Resolution; #DeltaE/E; Events", 100, -0.5, 0.5}, "E_res");
+ // Gaussian fit
+ h->Fit("gaus", "W","",h->GetMean() - 2.0 * h->GetRMS(),h->GetMean() + 2.0 * h->GetRMS());
+ // Save fit results
+ // how to access how many events in histogram: h->GetEntries();
+ if (h->GetFunction("gaus")) {
+ mean[n - 1] = TMath::Abs(h->GetFunction("gaus")->GetParameter(1));
+ dmean[n - 1] = h->GetFunction("gaus")->GetParError(1);
+ sigma[n - 1] = h->GetFunction("gaus")->GetParameter(2);
+ dsigma[n - 1] = h->GetFunction("gaus")->GetParError(2);
+ resolution[n - 1] = sigma[n - 1] / mean[n - 1];
+ resolutionErrorSigma = dsigma[n - 1] / mean[n - 1];
+ resolutionErrorMean = dmean[n - 1] * sigma[n - 1];
+ resolutionError[n - 1] =
+ TMath::Sqrt(resolutionErrorSigma * resolutionErrorSigma + resolutionErrorMean * resolutionErrorMean);
+ xerror[n - 1] = 0.0;
+ }
+ // Draw histogram, but
+ // Just save fit results
+ // TCanvas *c = new TCanvas("c", "c", 500, 500);
+ // h->GetYaxis()->SetTitleOffset(1.4);
+ // h->SetLineWidth(2);
+ // h->SetLineColor(kBlue);
+ // h->Fit("gaus","W,E");
+ // h->DrawClone();
+ // c->SaveAs("results/h.png");
}
// Generate graphs using gaussian fit results
// Cluster energy VS Simga
- TGraphErrors* gCEVsSigmaNC1EGCUT = new TGraphErrors(nbin,gEbin,sigma,xerror,dsigma);
- TCanvas *c1 = new TCanvas("c1","c1",500,500);
+ TGraphErrors* gCEVsSigmaNC1EGCUT = new TGraphErrors(nbin, gEbin, sigma, xerror, dsigma);
+ TCanvas* c1 = new TCanvas("c1", "c1", 500, 500);
gCEVsSigmaNC1EGCUT->SetTitle("Cluster Energy vs #sigma");
gCEVsSigmaNC1EGCUT->GetYaxis()->SetTitleOffset(1.4);
gCEVsSigmaNC1EGCUT->GetXaxis()->SetTitle("Cluster Energy [GeV]");
gCEVsSigmaNC1EGCUT->GetYaxis()->SetTitle("#sigma");
- gCEVsSigmaNC1EGCUT->GetYaxis()->SetRangeUser(0.0,0.05);
+ gCEVsSigmaNC1EGCUT->GetYaxis()->SetRangeUser(0.0, 0.05);
gCEVsSigmaNC1EGCUT->SetMarkerStyle(21);
gCEVsSigmaNC1EGCUT->DrawClone("AEP");
c1->SaveAs("results/emcal_electrons_gCEVsSigmaNC1EGCUT.png");
c1->SaveAs("results/emcal_electrons_gCEVsSigmaNC1EGCUT.pdf");
// Cluster energy VS Mean
- TGraphErrors* gCEVsMeanNC1EGCUT = new TGraphErrors(nbin,gEbin,mean,xerror,dmean);
- TCanvas *c2 = new TCanvas("c2","c2",500,500);
+ TGraphErrors* gCEVsMeanNC1EGCUT = new TGraphErrors(nbin, gEbin, mean, xerror, dmean);
+ TCanvas* c2 = new TCanvas("c2", "c2", 500, 500);
gCEVsMeanNC1EGCUT->SetTitle("Cluster Energy vs #mu");
gCEVsMeanNC1EGCUT->GetYaxis()->SetTitleOffset(1.4);
gCEVsMeanNC1EGCUT->GetXaxis()->SetTitle("Cluster Energy [GeV]");
gCEVsMeanNC1EGCUT->GetYaxis()->SetTitle("#mu");
- gCEVsMeanNC1EGCUT->GetYaxis()->SetRangeUser(0.0,0.1);
+ gCEVsMeanNC1EGCUT->GetYaxis()->SetRangeUser(0.0, 0.1);
gCEVsMeanNC1EGCUT->SetMarkerStyle(21);
gCEVsMeanNC1EGCUT->DrawClone("AEP");
c2->SaveAs("results/emcal_electrons_gCEVsMeanNC1EGCUT.png");
c2->SaveAs("results/emcal_electrons_gCEVsMeanNC1EGCUT.pdf");
// Inverse of sqrt(cluster energy) VS resolution
- TGraphErrors* gInvSqCEVsSigmaENC1EGCUT = new TGraphErrors(nbin,invSqrtgEbin,resolution,xerror,resolutionError);
- TCanvas *c3 = new TCanvas("c3","c3",500,500);
+ TGraphErrors* gInvSqCEVsSigmaENC1EGCUT = new TGraphErrors(nbin, invSqrtgEbin, resolution, xerror, resolutionError);
+ TCanvas* c3 = new TCanvas("c3", "c3", 500, 500);
gInvSqCEVsSigmaENC1EGCUT->SetTitle("#sigma/E [%] vs 1/sqrt(Cluster Energy)");
gInvSqCEVsSigmaENC1EGCUT->GetYaxis()->SetTitleOffset(1.4);
gInvSqCEVsSigmaENC1EGCUT->GetXaxis()->SetTitle("1/sqrt(Cluster Energy)");
gInvSqCEVsSigmaENC1EGCUT->GetYaxis()->SetTitle("#sigma/E [%]");
- gInvSqCEVsSigmaENC1EGCUT->GetYaxis()->SetRangeUser(0.0,1.5);
- gInvSqCEVsSigmaENC1EGCUT->GetXaxis()->SetRangeUser(0.0,1.5);
+ gInvSqCEVsSigmaENC1EGCUT->GetYaxis()->SetRangeUser(0.0, 1.5);
+ gInvSqCEVsSigmaENC1EGCUT->GetXaxis()->SetRangeUser(0.0, 1.5);
gInvSqCEVsSigmaENC1EGCUT->SetMarkerStyle(21);
gInvSqCEVsSigmaENC1EGCUT->DrawClone("AEP");
c3->SaveAs("results/emcal_electrons_gInvSqCEVsSimgaENC1EGCUT.png");
c3->SaveAs("results/emcal_electrons_gInvSqCEVsSigmaENC1EGCUT.pdf");
-
+
// Fit Function
// sigma/E = S/sqrt(E) + N/E + C; added in quadrature
// S: Stochastic term
// N: Niose term
// C: Constant term
- TF1 *f1 = new TF1("f1","sqrt([0]*[0] + pow([1]/sqrt(x),2) + pow([2]/x,2))", 0.5, 30.0);
- f1->SetParNames("C", "S", "N"); // param names
- f1->SetParameters(0.30,2.80,0.12); // initial param values
+ TF1* f1 = new TF1("f1", "sqrt([0]*[0] + pow([1]/sqrt(x),2) + pow([2]/x,2))", 0.5, 30.0);
+ f1->SetParNames("C", "S", "N"); // param names
+ f1->SetParameters(0.30, 2.80, 0.12); // initial param values
f1->SetLineWidth(2);
f1->SetLineColor(kRed);
// Cluster energy VS resolution
- TGraphErrors* gCEVsSigmaENC1EGCUT = new TGraphErrors(nbin,gEbin,resolution,xerror,resolutionError);
- TCanvas *c4 = new TCanvas("c4","c4",500,500);
+ TGraphErrors* gCEVsSigmaENC1EGCUT = new TGraphErrors(nbin, gEbin, resolution, xerror, resolutionError);
+ TCanvas* c4 = new TCanvas("c4", "c4", 500, 500);
gCEVsSigmaENC1EGCUT->SetTitle("Cluster Energy vs #sigma/E [%]");
gCEVsSigmaENC1EGCUT->GetYaxis()->SetTitleOffset(1.4);
gCEVsSigmaENC1EGCUT->GetXaxis()->SetTitle("Cluster Energy [GeV]");
gCEVsSigmaENC1EGCUT->GetYaxis()->SetTitle("#sigma/E [%]");
- gCEVsSigmaENC1EGCUT->GetYaxis()->SetRangeUser(0.0,1.5);
+ gCEVsSigmaENC1EGCUT->GetYaxis()->SetRangeUser(0.0, 1.5);
gCEVsSigmaENC1EGCUT->SetMarkerStyle(21);
- gCEVsSigmaENC1EGCUT->Fit("f1","W,E");
+ gCEVsSigmaENC1EGCUT->Fit("f1", "W");
gCEVsSigmaENC1EGCUT->DrawClone("AEP");
c4->SaveAs("results/emcal_electrons_gCEVsSimgaENC1EGCUT.png");
c4->SaveAs("results/emcal_electrons_gCEVsSigmaENC1EGCUT.pdf");
@@ -232,6 +241,8 @@ void rec_emcal_resolution_analysis(const char* input_fname = "rec_emcal_uniform_
auto nevents_cluster1 = d2.Count();
auto nevents_cluster1cut = d3.Count();
- std::cout << "Number of Events: " << (*nevents_cluster1) << " / " << (*nevents_thrown) << " = single cluster events/all \n";
- std::cout << "Number of Events: " << (*nevents_cluster1cut) << " / " << (*nevents_thrown) << " = single cluster events that passed edge cut/all \n";
+ std::cout << "Number of Events: " << (*nevents_cluster1) << " / " << (*nevents_thrown)
+ << " = single cluster events/all \n";
+ std::cout << "Number of Events: " << (*nevents_cluster1cut) << " / " << (*nevents_thrown)
+ << " = single cluster events that passed edge cut/all \n";
}