Introduction¶
QA plots for the generic tracking performance
In [1]:
# imports to write dynamic markdown contents
import os
from IPython.display import display, Markdown, Latex
from IPython.display import HTML
In [2]:
# turn off/on code for the result HTML page
display(Markdown('*For the result HTML page:* '))
HTML('''<script>
code_show=true;
function code_toggle() {
if (code_show){
$('div.input').hide();
$('div.jp-CodeMirrorEditor').hide(); // for newer versions of nbviewer.org
} else {
$('div.input').show();
$('div.jp-CodeMirrorEditor').show(); // for newer versions of nbviewer.org
}
code_show = !code_show
}
$( document ).ready(code_toggle);
</script>
<form action="javascript:code_toggle()"><input type="submit" value="Click here to toggle on/off the raw code."></form>''')
For the result HTML page:
Out[2]:
In [3]:
import os.path
# readme file of the macros, available if run under JenkinsCI
# https://github.com/sPHENIX-Collaboration/utilities/blob/master/jenkins/built-test/test-tracking-qa.sh
macro_markdown = 'Fun4All-macros-README.md'
if os.path.isfile(macro_markdown) :
with open(macro_markdown, 'r') as file:
display(Markdown(file.read()))
Tracking QA with high pT Pythia events¶
PYTHIA high pT tracking QA consists full tracker + reconstruction of events with the default Pythia configuration file. This cfg file has a single hard QCD ccbar event with minimum partonic pT of 10 GeV and truth jet triggering of pT>20 GeV.
Last a D0->piK filter is applied so the same sample canbe used in D0 reco validation. Please note the calorimeters are disabled to improve execution speed, which also removed some of the correlated albedo background for the tracker.
In addition to the Pythia event, an Upsilon is embedded to probe an agregated tracking resolution.
The source code of the macro can be found at https://github.com/sPHENIX-Collaboration/macros/tree/QA-tracking-pythiajet or comparing it to the master branch.
pyROOT env check¶
In [4]:
import ROOT
OFFLINE_MAIN = os.getenv("OFFLINE_MAIN")
if OFFLINE_MAIN is not None:
display(Markdown(f"via sPHENIX software distribution at `{OFFLINE_MAIN}`"))
via sPHENIX software distribution at /var/lib/jenkins/workspace/sPHENIX/Build-Master-gcc14/build/new/install.1
Plotting source code¶
In [5]:
import subprocess
try:
git_url = \
subprocess.run(['git','remote','get-url','origin'], stdout=subprocess.PIPE)\
.stdout.decode('utf-8').strip()\
.replace('git@github.com:','https://github.com/')
display(Markdown(f"View the source code repository at {git_url}"))
except: # catch *all* exceptions
# well do nothing
pass
View the source code repository at https://github.com/sPHENIX-Collaboration/QA-gallery.git
JenkinsCI information (if available)¶
In [6]:
display(Markdown('Some further details about the QA run, if executed under the Jenkins CI:'))
checkrun_repo_commit = os.getenv("checkrun_repo_commit")
if checkrun_repo_commit is not None:
display(Markdown(f"* The commit being checked is {checkrun_repo_commit}"))
ghprbPullLink = os.getenv("ghprbPullLink")
if ghprbPullLink is not None:
display(Markdown(f"* Link to the pull request: {ghprbPullLink}"))
BUILD_URL = os.getenv("BUILD_URL")
if BUILD_URL is not None:
display(Markdown(f"* Link to the build: {BUILD_URL}"))
git_url_macros = os.getenv("git_url_macros")
sha_macros = os.getenv("sha_macros")
if git_url_macros is not None:
display(Markdown(f"* Git repo for macros: {git_url_macros} , which merges `{sha_macros}` and the QA tracking branch"))
RUN_ARTIFACTS_DISPLAY_URL = os.getenv("RUN_ARTIFACTS_DISPLAY_URL")
if RUN_ARTIFACTS_DISPLAY_URL is not None:
display(Markdown(f"* Download the QA ROOT files: {RUN_ARTIFACTS_DISPLAY_URL}"))
JENKINS_URL = os.getenv("JENKINS_URL")
if JENKINS_URL is not None:
display(Markdown(f"Automatically generated by [sPHENIX Jenkins continuous integration]({JENKINS_URL}) [](https://www.sphenix.bnl.gov/web/) [](https://jenkins.io/)"))
Some further details about the QA run, if executed under the Jenkins CI:
- The commit being checked is sPHENIX-Collaboration/coresoftware/cdd9aff0a42f7fc7812a7e49161bae9e18b1bfb3
- Link to the pull request: https://github.com/sPHENIX-Collaboration/coresoftware/pull/3493
- Git repo for macros: https://github.com/sPHENIX-Collaboration/macros.git , which merges
masterand the QA tracking branch
Automatically generated by sPHENIX Jenkins continuous integration 
Initialization¶
In [7]:
%%cpp -d
#include "QA_Draw_Utility.C"
#include <sPhenixStyle.C>
#include <TFile.h>
#include <TLine.h>
#include <TString.h>
#include <TTree.h>
#include <cassert>
#include <cmath>
In [8]:
%%cpp
SetsPhenixStyle();
TVirtualFitter::SetDefaultFitter("Minuit2");
// test sPHENIX lib load
// gSystem->Load("libg4eval.so");
// test libs
// gSystem->ListLibraries();
sPhenixStyle: Applying nominal settings. sPhenixStyle: ROOT6 mode
In [9]:
%jsroot on
Inputs and file checks¶
In [10]:
qa_file_name_new = os.getenv("qa_file_name_new")
if qa_file_name_new is None:
qa_file_name_new = "G4sPHENIX_test-tracking-low-occupancy-qa_Event100_Sum10_qa.root"
display(Markdown(f"`qa_file_name_new` env not set. use the default `qa_file_name_new={qa_file_name_new}`"))
qa_file_name_ref = os.getenv("qa_file_name_ref")
if qa_file_name_ref is None:
qa_file_name_ref = "reference/G4sPHENIX_test-tracking-low-occupancy-qa_Event100_Sum10_qa.root"
display(Markdown(f"`qa_file_name_ref` env not set. use the default `qa_file_name_ref={qa_file_name_ref}`"))
elif qa_file_name_ref == 'None':
qa_file_name_ref = None
display(Markdown(f"`qa_file_name_ref` = None and we are set to not to use the reference histograms"))
In [11]:
# qa_file_new = ROOT.TFile.Open(qa_file_name_new);
# assert qa_file_new.IsOpen()
# qa_file_new.ls()
display(Markdown(f"Opening QA file at `{qa_file_name_new}`"))
ROOT.gInterpreter.ProcessLine(f"TFile *qa_file_new = new TFile(\"{qa_file_name_new}\");")
ROOT.gInterpreter.ProcessLine(f"const char * qa_file_name_new = \"{qa_file_name_new}\";")
if qa_file_name_ref is not None:
# qa_file_ref = ROOT.TFile.Open(qa_file_name_ref);
# assert qa_file_ref.IsOpen()
display(Markdown(f"Opening QA reference file at `{qa_file_name_ref}`"))
ROOT.gInterpreter.ProcessLine(f"TFile *qa_file_ref = new TFile(\"{qa_file_name_ref}\");")
ROOT.gInterpreter.ProcessLine(f"const char * qa_file_name_ref = \"{qa_file_name_ref}\";")
else:
ROOT.gInterpreter.ProcessLine(f"TFile *qa_file_ref = nullptr;")
ROOT.gInterpreter.ProcessLine(f"const char * qa_file_name_ref = nullptr;")
Opening QA file at G4sPHENIX_test-tracking_Event550_Sum10_qa.root
Opening QA reference file at reference/G4sPHENIX_test-tracking_Event550_Sum10_qa.root
In [12]:
%%cpp
if (qa_file_new == nullptr)
{
cout <<"Error, can not open QA root file"<<qa_file_name_new<<endl;
exit(1);
}
// list inputs histograms if needed
// qa_file_new ->ls();
//TFile *qa_file_ref = NULL;
//if (qa_file_name_ref)
//{
// qa_file_ref = new TFile(qa_file_name_ref);
//
// if (qa_file_ref == nullptr)
// {
// cout <<"Error, can not open QA root file"<<qa_file_name_ref<<endl;
// exit(1);
// }
//}
Truth matched efficiency and pT resolution¶
Match truth track to reco tracks¶
Reco track matched with truth track. Please note the efficiency only require truth-reco matching in unique pairs, no cut on the reco quality is required, as defined in QAG4SimulationTracking::process_event(PHCompositeNode * )
In [13]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
TCanvas *rawResCan = new TCanvas(TString("QA_Draw_pTResolution") + TString("_") + hist_name_prefix,
TString("QA_Draw_pTResolution") + TString("_") + hist_name_prefix,
900,500);
rawResCan->Divide(2,2);
TH2F *h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new =
(TH2F *)qa_file_new->GetObjectChecked(prefix + "pTRecoGenRatio_pTGen",
"TH2");
assert(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new->SetDirectory(nullptr);
TGraphErrors *newScale = FitResolution(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new, false, 1);
TGraphErrors *newRes = FitResolution(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new, false, 2);
newScale->SetMarkerStyle(20);
newScale->SetMarkerColor(kBlack);
newScale->SetMarkerSize(1.0);
newRes->SetMarkerStyle(20);
newRes->SetMarkerColor(kBlack);
newRes->SetMarkerSize(1.0);
rawResCan->cd(3);
newScale->GetXaxis()->SetTitle("Truth p_{T} [GeV]");
newScale->GetYaxis()->SetTitle("#LTp_{T}^{reco}/p_{T}^{true}#GT");
newScale->GetYaxis()->SetRangeUser(0.9,1.1);
newScale->Draw("ap");
rawResCan->cd(4);
newRes->GetXaxis()->SetTitle("Truth p_{T} [GeV]");
newRes->GetYaxis()->SetTitle("#sigma(p_{T}^{reco}/p_{T}^{true})");
newRes->GetYaxis()->SetRangeUser(0,0.08);
newRes->Draw("ap");
rawResCan->cd(2);
gPad->SetRightMargin(0.2);
gPad->SetLogx();
gPad->SetLogz();
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new->SetTitle("New pT Spectrum");
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_new->Draw("colz");
TLatex newl;
newl.SetTextSize(0.05);
newl.SetNDC();
newl.SetTextColor(kBlack);
newl.DrawLatex(0.45,0.96,"New");
if (qa_file_ref) {
TH2F *h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref =
(TH2F *)qa_file_ref->GetObjectChecked(prefix + "pTRecoGenRatio_pTGen",
"TH2");
assert(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref->SetDirectory(nullptr);
TGraphErrors *refScale = FitResolution(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref, false, 1);
TGraphErrors *refRes = FitResolution(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref, false, 2);
refScale->SetMarkerStyle(24);
refScale->SetMarkerColor(kRed);
refScale->SetMarkerSize(1.0);
refRes->SetMarkerStyle(24);
refRes->SetMarkerColor(kRed);
refRes->SetMarkerSize(1.0);
TLegend *ptresleg = new TLegend(0.4,0.77,0.5,0.9);
ptresleg->AddEntry(refScale,"Reference","P");
ptresleg->AddEntry(newScale,"New","P");
rawResCan->cd(3);
refScale->Draw("psame");
ptresleg->Draw("same");
rawResCan->cd(4);
refRes->Draw("psame");
ptresleg->Draw("same");
rawResCan->cd(1);
gPad->SetRightMargin(0.2);
gPad->SetLogx();
gPad->SetLogz();
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref->SetTitle("Reference pT Spectrum");
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen_ref->Draw("colz");
TLatex refl;
refl.SetTextSize(0.05);
refl.SetNDC();
refl.SetTextColor(kBlack);
refl.DrawLatex(0.45,0.96,"Reference");
}
rawResCan->Draw();
}
In [14]:
%jsroot off
In [15]:
%%cpp
{
//base histogram from the reco module name
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_TruthMatchingOverview") +
TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_TruthMatchingOverview") +
TString("_") + hist_name_prefix,
900, 400);
c1->Divide(3, 1);
int idx = 1;
TPad *p;
{
static const int nrebin = 5;
p = (TPad *)c1->cd(idx++);
c1->Update();
p->SetLogx();
p->SetGridy();
TH1 *h_pass =
(TH1 *)qa_file_new->GetObjectChecked(prefix + "nReco_pTGen", "TH1");
TH1 *h_norm =
(TH1 *)qa_file_new->GetObjectChecked(prefix + "nGen_pTGen", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
// h_ratio->GetXaxis()->SetRangeUser(min_Et, max_Et);
h_ratio->GetYaxis()->SetTitle("Reco efficiency");
h_ratio->GetYaxis()->SetRangeUser(-0, 1.);
TH1 *h_ratio_ref = NULL;
if (qa_file_ref) {
TH1 *h_pass =
(TH1 *)qa_file_ref->GetObjectChecked(prefix + "nReco_pTGen", "TH1");
TH1 *h_norm =
(TH1 *)qa_file_ref->GetObjectChecked(prefix + "nGen_pTGen", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm);
}
h_ratio->SetTitle(TString(hist_name_prefix) + ": Tracking Efficiency");
DrawReference(h_ratio, h_ratio_ref, false);
}
{
static const int nrebin = 4;
p = (TPad *)c1->cd(idx++);
c1->Update();
// p->SetLogx();
p->SetGridy();
TH1 *h_pass =
(TH1 *)qa_file_new->GetObjectChecked(prefix + "nReco_etaGen", "TH1");
TH1 *h_norm =
(TH1 *)qa_file_new->GetObjectChecked(prefix + "nGen_etaGen", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
h_ratio->GetXaxis()->SetRangeUser(-1.1, 1.1);
h_ratio->GetYaxis()->SetTitle("Reco efficiency");
h_ratio->GetYaxis()->SetRangeUser(-0, 1.);
TH1 *h_ratio_ref = NULL;
if (qa_file_ref) {
TH1 *h_pass =
(TH1 *)qa_file_ref->GetObjectChecked(prefix + "nReco_etaGen", "TH1");
TH1 *h_norm =
(TH1 *)qa_file_ref->GetObjectChecked(prefix + "nGen_etaGen", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm);
}
h_ratio->SetTitle(TString(hist_name_prefix) + ": Tracking Efficiency");
DrawReference(h_ratio, h_ratio_ref, false);
}
{
p = (TPad *)c1->cd(idx++);
c1->Update();
// p->SetLogx();
TH1 *frame = p->DrawFrame(0, .9, 50, 1.1,
"Mean and sigma, p_{T,reco}/p_{T,truth};Truth p_{T} [GeV/c];<p_{T,reco}/p_{T,truth}> #pm #sigma(p_{T,reco}/p_{T,truth})");
//gPad->SetLeftMargin(.2);
gPad->SetTopMargin(-1);
frame->GetYaxis()->SetTitleOffset(1.7);
//TLine *l = new TLine(0, 1, 50, 1);
//l->SetLineColor(kGray);
//l->Draw();
HorizontalLine( gPad, 1 )->Draw();
TH2 *h_QAG4SimulationTracking_pTRecoGenRatio_pTGen =
(TH2 *)qa_file_new->GetObjectChecked(prefix + "pTRecoGenRatio_pTGen",
"TH2");
assert(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen->Rebin2D(16, 1);
TGraphErrors *ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen =
FitProfile(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen);
ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen->Draw("pe");
ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen->SetTitle(
"Mean and sigma, p_{T,reco}/p_{T,truth}");
TGraphErrors *h_ratio_ref = NULL;
if (qa_file_ref) {
TH2 *h_QAG4SimulationTracking_pTRecoGenRatio_pTGen =
(TH2 *)qa_file_ref->GetObjectChecked(prefix + "pTRecoGenRatio_pTGen",
"TH2");
assert(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoGenRatio_pTGen->Rebin2D(16, 1);
h_ratio_ref = FitProfile(h_QAG4SimulationTracking_pTRecoGenRatio_pTGen);
ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen->Draw("pe");
}
DrawReference(ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen, h_ratio_ref,
true);
SaveGraphError2CSV(ge_QAG4SimulationTracking_pTRecoGenRatio_pTGen, "QAG4SimulationTracking_pTRecoGenRatio_pTGen");
}
//SaveCanvas(c1,
// TString(qa_file_name_new) + TString("_") + TString(c1->GetName()),
// true);
c1->Draw();
}
pT resolution and lineshape¶
In [16]:
%jsroot on
In [17]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
TH2 *h_new = (TH2 *) qa_file_new->GetObjectChecked(
prefix + TString("pTRecoGenRatio_pTGen"), "TH2");
assert(h_new);
// h_new->Rebin(1, 2);
//h_new->Sumw2();
// h_new->Scale(1. / Nevent_new);
TH2 *h_ref = NULL;
if (qa_file_ref)
{
h_ref = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + TString("pTRecoGenRatio_pTGen"), "TH2");
assert(h_ref);
// h_ref->Rebin(1, 2);
//h_ref->Sumw2();
h_ref->Scale(Nevent_new / Nevent_ref);
}
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_pTRatio") + TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_pTRatio") + TString("_") + hist_name_prefix,
950, 600);
c1->Divide(4, 2);
int idx = 1;
TPad *p;
vector<pair<double, double>> gpt_ranges{
{0, 1},
{1, 5},
{5, 10},
{10, 15},
{15, 50}};
TF1 *f1 = nullptr;
TF1 *fit = nullptr;
Double_t sigma = 0;
Double_t sigma_unc = 0;
char resstr[500];
TLatex *res = nullptr;
for (auto pt_range : gpt_ranges)
{
//cout << __PRETTY_FUNCTION__ << " process " << pt_range.first << " - " << pt_range.second << " GeV/c";
p = (TPad *) c1->cd(idx++);
c1->Update();
p->SetLogy();
const double epsilon = 1e-6;
const int bin_start = h_new->GetXaxis()->FindBin(pt_range.first + epsilon);
const int bin_end = h_new->GetXaxis()->FindBin(pt_range.second - epsilon);
TH1 *h_proj_new = h_new->ProjectionY(
TString::Format(
"%s_New_ProjX_%d_%d",
h_new->GetName(), bin_start, bin_end),
bin_start, bin_end);
h_proj_new->GetXaxis()->SetRangeUser(.7, 1.3);
h_proj_new->SetTitle(TString(hist_name_prefix) + TString::Format(
": %.1f - %.1f GeV/c", pt_range.first, pt_range.second));
h_proj_new->GetXaxis()->SetTitle(TString::Format(
"Reco p_{T}/Truth p_{T}"));
f1 = new TF1("f1", "gaus", -.85, 1.15);
h_proj_new->Fit(f1, "mq");
sigma = f1->GetParameter(2);
sigma_unc = f1->GetParError(2);
TH1 *h_proj_ref = nullptr;
if (h_ref)
h_proj_ref =
h_ref->ProjectionY(
TString::Format(
"%s_Ref_ProjX_%d_%d",
h_new->GetName(), bin_start, bin_end),
bin_start, bin_end);
DrawReference(h_proj_new, h_proj_ref);
sprintf(resstr, "#sigma = %.5f #pm %.5f", sigma, sigma_unc);
res = new TLatex(0.325, 0.825, resstr);
res->SetNDC();
res->SetTextSize(0.05);
res->SetTextAlign(13);
res->Draw();
}
// SaveCanvas(c1, TString(qa_file_name_new) + TString("_") + TString(c1->GetName()), true);
c1->Draw();
}
In [18]:
%jsroot off
In [19]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
if (qa_file_new)
{
//cout << "Open new QA file " << qa_file_new->GetName() << endl;
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_new = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
if (qa_file_ref)
{
// cout << "Open ref QA file " << qa_file_ref->GetName() << endl;
TH1 *h_norm = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_ref = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_RecoTruthMatching") +
TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_RecoTruthMatching") +
TString("_") + hist_name_prefix,
950, 600);
c1->Divide(2, 1);
int idx = 1;
TPad *p;
{
static const int nrebin = 5;
p = (TPad *) c1->cd(idx++);
c1->Update();
p->SetLogx();
p->SetGridy();
TH1 *h_pass =
(TH1 *) qa_file_new->GetObjectChecked(prefix + "nGen_pTReco", "TH1");
TH1 *h_norm =
(TH1 *) qa_file_new->GetObjectChecked(prefix + "nReco_pTReco", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
// h_ratio->GetXaxis()->SetRangeUser(min_Et, max_Et);
h_ratio->GetYaxis()->SetTitle("Tracking Purity");
h_ratio->GetYaxis()->SetRangeUser(-0, 1.1);
TH1 *h_ratio_ref = NULL;
if (qa_file_ref)
{
TH1 *h_pass =
(TH1 *) qa_file_ref->GetObjectChecked(prefix + "nGen_pTReco", "TH1");
TH1 *h_norm =
(TH1 *) qa_file_ref->GetObjectChecked(prefix + "nReco_pTReco", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm);
}
h_ratio->SetTitle("Tracking Purity (matched truth-reco pairs)");
DrawReference(h_ratio, h_ratio_ref, false);
}
{
p = (TPad *) c1->cd(idx++);
c1->Update();
// p->SetLogx();
TH1 *frame = p->DrawFrame(0, .9, 50, 1.1,
"Mean and sigma p_{Tmatched}/p_{Treco};Reco p_{T} [GeV/c];<p_{T,matched}/p_{T,reco}> #pm #sigma(p_{T,matched}/p_{T,reco})");
// gPad->SetLeftMargin(.2);
gPad->SetTopMargin(-1);
frame->GetYaxis()->SetTitleOffset(1.7);
// TLine *l = new TLine(0, 1, 50, 1);
// l->SetLineColor(kGray);
// l->Draw();
HorizontalLine(gPad, 1)->Draw();
TH2 *h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
(TH2 *) qa_file_new->GetObjectChecked(
prefix + "pTRecoTruthMatchedRatio_pTReco", "TH2");
assert(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Rebin2D(16, 1);
TGraphErrors *ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
FitProfile(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Draw("pe");
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetTitle(
"Mean and sigma p_{Tmatched}/p_{Treco}");
TGraphErrors *h_ratio_ref = NULL;
if (qa_file_ref)
{
TH2 *h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
(TH2 *) qa_file_ref->GetObjectChecked(
prefix + "pTRecoTruthMatchedRatio_pTReco", "TH2");
assert(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Rebin2D(16, 1);
h_ratio_ref =
FitProfile(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Draw("pe");
}
DrawReference(ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco,
h_ratio_ref, true);
}
c1->Draw();
}
In [20]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
if (qa_file_new)
{
//cout << "Open new QA file " << qa_file_new->GetName() << endl;
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_new = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
if (qa_file_ref)
{
// cout << "Open ref QA file " << qa_file_ref->GetName() << endl;
TH1 *h_norm = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_ref = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_RecoTruthMatching") +
TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_RecoTruthMatching") +
TString("_") + hist_name_prefix,
950, 600);
c1->Divide(2, 1);
int idx = 1;
TPad *p;
{
static const int nrebin = 5;
p = (TPad *) c1->cd(idx++);
c1->Update();
p->SetLogx();
p->SetGridy();
TH1 *h_pass =
(TH1 *) qa_file_new->GetObjectChecked(prefix + "nGen_pTReco", "TH1");
TH1 *h_norm =
(TH1 *) qa_file_new->GetObjectChecked(prefix + "nReco_pTReco", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
// h_ratio->GetXaxis()->SetRangeUser(min_Et, max_Et);
h_ratio->GetYaxis()->SetTitle("Tracking Purity");
h_ratio->GetYaxis()->SetRangeUser(-0, 1.1);
TH1 *h_ratio_ref = NULL;
if (qa_file_ref)
{
TH1 *h_pass =
(TH1 *) qa_file_ref->GetObjectChecked(prefix + "nGen_pTReco", "TH1");
TH1 *h_norm =
(TH1 *) qa_file_ref->GetObjectChecked(prefix + "nReco_pTReco", "TH1");
assert(h_norm);
assert(h_pass);
h_norm->SetDirectory(nullptr);
h_pass->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm);
}
h_ratio->SetTitle("Tracking Purity (matched truth-reco pairs)");
DrawReference(h_ratio, h_ratio_ref, false);
}
{
p = (TPad *) c1->cd(idx++);
c1->Update();
// p->SetLogx();
TH1 *frame = p->DrawFrame(0, .9, 50, 1.1,
"Mean and sigma p_{Tmatched}/p_{Treco};Reco p_{T} [GeV/c];<p_{T,matched}/p_{T,reco}> #pm #sigma(p_{T,matched}/p_{T,reco})");
// gPad->SetLeftMargin(.2);
gPad->SetTopMargin(-1);
frame->GetYaxis()->SetTitleOffset(1.7);
// TLine *l = new TLine(0, 1, 50, 1);
// l->SetLineColor(kGray);
// l->Draw();
HorizontalLine(gPad, 1)->Draw();
TH2 *h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
(TH2 *) qa_file_new->GetObjectChecked(
prefix + "pTRecoTruthMatchedRatio_pTReco", "TH2");
assert(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Rebin2D(16, 1);
TGraphErrors *ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
FitProfile(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Draw("pe");
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetTitle(
"Mean and sigma p_{Tmatched}/p_{Treco}");
TGraphErrors *h_ratio_ref = NULL;
if (qa_file_ref)
{
TH2 *h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco =
(TH2 *) qa_file_ref->GetObjectChecked(
prefix + "pTRecoTruthMatchedRatio_pTReco", "TH2");
assert(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->SetDirectory(nullptr);
h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Rebin2D(16, 1);
h_ratio_ref =
FitProfile(h_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco);
ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco->Draw("pe");
}
DrawReference(ge_QAG4SimulationTracking_pTRecoTruthMatchedRatio_pTReco,
h_ratio_ref, true);
}
c1->Draw();
}
Warning in <TCanvas::Constructor>: Deleting canvas with same name: QA_Draw_Tracking_RecoTruthMatching_QAG4SimulationTracking
Tracker hit checks¶
Hits per tracker and layer
In [21]:
%jsroot on
In [22]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
if (qa_file_new)
{
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_new = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
if (qa_file_ref)
{
TH1 *h_norm = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_ref = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
//MVTX, INTT, TPC
vector<TString> detectors{"MVTX", "INTT", "TPC"};
vector<int> eff_ncluster_cuts{2, 2, 40};
vector<double> ncluster_spectrum_pt_cuts{2, 2, 2};
vector<TH2 *> h_pass_detectors(3, nullptr);
static const int nrebin = 5;
h_pass_detectors[0] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nMVTX_nReco_pTGen", "TH1") ;
h_pass_detectors[1] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nINTT_nReco_pTGen", "TH1") ;
h_pass_detectors[2] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nTPC_nReco_pTGen", "TH1") ;
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + "nGen_pTGen", "TH1") ;
assert(h_norm);
h_norm->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
vector<TH2 *> h_pass_detectors_ref(3, nullptr);
TH1 *h_norm_ref = nullptr;
if (qa_file_ref)
{
h_pass_detectors_ref[0] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nMVTX_nReco_pTGen", "TH1") ;
h_pass_detectors_ref[1] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nINTT_nReco_pTGen", "TH1") ;
h_pass_detectors_ref[2] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nTPC_nReco_pTGen", "TH1") ;
h_norm_ref = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + "nGen_pTGen", "TH1") ;
h_norm_ref->SetDirectory(nullptr);
h_norm_ref->Rebin(nrebin);
}
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_TruthMatching_NumOfClusters") + TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_TruthMatching_NumOfClusters") + TString("_") + hist_name_prefix,
950, 600);
c1->Divide(3, 2);
TPad *p;
for (int i = 0; i < 3; ++i)
{
TString detector = detectors[i];
TH2 *h_pass_detector = h_pass_detectors[i];
TH2 *h_pass_detector_ref = h_pass_detectors_ref[i];
assert(h_pass_detector);
{
p = (TPad *) c1->cd(i + 1);
c1->Update();
p->SetLogy();
const int bin_start = h_pass_detector->GetXaxis()->FindBin(ncluster_spectrum_pt_cuts[i]);
TH1 *h_pass_detector_ncluster = h_pass_detector->ProjectionY(
TString(h_pass_detector->GetName()) + "_nCluster_new",
bin_start);
TH1 *h_pass_detector_ncluster_ref = nullptr;
if (h_pass_detector_ref)
{
h_pass_detector_ncluster_ref = h_pass_detector_ref->ProjectionY(
TString(h_pass_detector_ref->GetName()) + "_nCluster_ref",
bin_start);
}
h_pass_detector_ncluster->SetTitle(TString(hist_name_prefix) + ": " + detector + Form(" n_{Cluster} | p_{T} #geq %.1fGeV/c", ncluster_spectrum_pt_cuts[i]));
h_pass_detector_ncluster->SetYTitle("# of reconstructed track");
DrawReference(h_pass_detector_ncluster, h_pass_detector_ncluster_ref, false);
}
{
p = (TPad *) c1->cd(i + 3 + 1);
c1->Update();
p->SetLogx();
p->SetGridy();
const int bin_start = h_pass_detector->GetYaxis()->FindBin(eff_ncluster_cuts[i]);
TH1 *h_pass = h_pass_detector->ProjectionX(
TString(h_pass_detector->GetName()) + "_nReco_new",
bin_start);
assert(h_pass);
h_pass->SetDirectory(nullptr);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
h_ratio->GetYaxis()->SetTitle("Reco efficiency | " + detector + Form(" n_{Cluster} #geq %d", eff_ncluster_cuts[i]));
h_ratio->GetYaxis()->SetRangeUser(-0, 1.);
//
TH1 *h_ratio_ref = NULL;
if (h_pass_detector_ref)
{
TH1 *h_pass = h_pass_detector_ref->ProjectionX(
TString(h_pass_detector->GetName()) + "_nReco_ref",
bin_start);
assert(h_pass);
h_pass->SetDirectory(nullptr);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm_ref);
}
//
h_ratio->SetTitle("Tracking efficiency | " + detector + Form(" n_{Cluster} #geq %d", eff_ncluster_cuts[i]));
DrawReference(h_ratio, h_ratio_ref, false);
}
}
// SaveCanvas(c1, TString(qa_file_name_new) + TString("_") + TString(c1->GetName()), true);
c1->Draw();
}
In [23]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
if (qa_file_new)
{
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_new = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
if (qa_file_ref)
{
TH1 *h_norm = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_ref = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin("Event"));
}
//MVTX, INTT, TPC
vector<TString> detectors{"MVTX", "INTT", "TPC"};
vector<int> eff_ncluster_cuts{2, 2, 40};
vector<double> ncluster_spectrum_pt_cuts{2, 2, 2};
vector<TH2 *> h_pass_detectors(3, nullptr);
static const int nrebin = 5;
h_pass_detectors[0] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nMVTX_nReco_pTGen", "TH1") ;
h_pass_detectors[1] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nINTT_nReco_pTGen", "TH1") ;
h_pass_detectors[2] = (TH2 *) qa_file_new->GetObjectChecked(
prefix + "nTPC_nReco_pTGen", "TH1") ;
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(
prefix + "nGen_pTGen", "TH1") ;
assert(h_norm);
h_norm->SetDirectory(nullptr);
h_norm->Rebin(nrebin);
vector<TH2 *> h_pass_detectors_ref(3, nullptr);
TH1 *h_norm_ref = nullptr;
if (qa_file_ref)
{
h_pass_detectors_ref[0] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nMVTX_nReco_pTGen", "TH1") ;
h_pass_detectors_ref[1] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nINTT_nReco_pTGen", "TH1") ;
h_pass_detectors_ref[2] = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + "nTPC_nReco_pTGen", "TH1") ;
h_norm_ref = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + "nGen_pTGen", "TH1") ;
h_norm_ref->SetDirectory(nullptr);
h_norm_ref->Rebin(nrebin);
}
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_TruthMatching_NumOfClusters") + TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_TruthMatching_NumOfClusters") + TString("_") + hist_name_prefix,
950, 600);
c1->Divide(3, 2);
TPad *p;
for (int i = 0; i < 3; ++i)
{
TString detector = detectors[i];
TH2 *h_pass_detector = h_pass_detectors[i];
TH2 *h_pass_detector_ref = h_pass_detectors_ref[i];
assert(h_pass_detector);
{
p = (TPad *) c1->cd(i + 1);
c1->Update();
p->SetLogy();
const int bin_start = h_pass_detector->GetXaxis()->FindBin(ncluster_spectrum_pt_cuts[i]);
TH1 *h_pass_detector_ncluster = h_pass_detector->ProjectionY(
TString(h_pass_detector->GetName()) + "_nCluster_new",
bin_start);
TH1 *h_pass_detector_ncluster_ref = nullptr;
if (h_pass_detector_ref)
{
h_pass_detector_ncluster_ref = h_pass_detector_ref->ProjectionY(
TString(h_pass_detector_ref->GetName()) + "_nCluster_ref",
bin_start);
}
h_pass_detector_ncluster->SetTitle(TString(hist_name_prefix) + ": " + detector + Form(" n_{Cluster} | p_{T} #geq %.1fGeV/c", ncluster_spectrum_pt_cuts[i]));
h_pass_detector_ncluster->SetYTitle("# of reconstructed track");
DrawReference(h_pass_detector_ncluster, h_pass_detector_ncluster_ref, false);
}
{
p = (TPad *) c1->cd(i + 3 + 1);
c1->Update();
p->SetLogx();
p->SetGridy();
const int bin_start = h_pass_detector->GetYaxis()->FindBin(eff_ncluster_cuts[i]);
TH1 *h_pass = h_pass_detector->ProjectionX(
TString(h_pass_detector->GetName()) + "_nReco_new",
bin_start);
assert(h_pass);
h_pass->SetDirectory(nullptr);
h_pass->Rebin(nrebin);
TH1 *h_ratio = GetBinominalRatio(h_pass, h_norm);
h_ratio->GetYaxis()->SetTitle("Reco efficiency | " + detector + Form(" n_{Cluster} #geq %d", eff_ncluster_cuts[i]));
h_ratio->GetYaxis()->SetRangeUser(-0, 1.);
//
TH1 *h_ratio_ref = NULL;
if (h_pass_detector_ref)
{
TH1 *h_pass = h_pass_detector_ref->ProjectionX(
TString(h_pass_detector->GetName()) + "_nReco_ref",
bin_start);
assert(h_pass);
h_pass->SetDirectory(nullptr);
h_pass->Rebin(nrebin);
h_ratio_ref = GetBinominalRatio(h_pass, h_norm_ref);
}
//
h_ratio->SetTitle("Tracking efficiency | " + detector + Form(" n_{Cluster} #geq %d", eff_ncluster_cuts[i]));
DrawReference(h_ratio, h_ratio_ref, false);
}
}
// SaveCanvas(c1, TString(qa_file_name_new) + TString("_") + TString(c1->GetName()), true);
c1->Draw();
}
Warning in <TCanvas::Constructor>: Deleting canvas with same name: QA_Draw_Tracking_TruthMatching_NumOfClusters_QAG4SimulationTracking
Hits per layer¶
In [24]:
%%cpp -d
namespace
{
// Normalization
double Nevent_new = 1;
double Nevent_ref = 1;
void GetNormalization(TFile *qa_file_new, TFile *qa_file_ref, const TString &prefix, const TString &tag)
{
if (qa_file_new)
{
TH1 *h_norm = (TH1 *) qa_file_new->GetObjectChecked(prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_new = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin(tag));
}
if (qa_file_ref)
{
TH1 *h_norm = (TH1 *) qa_file_ref->GetObjectChecked(prefix + TString("Normalization"), "TH1");
assert(h_norm);
Nevent_ref = h_norm->GetBinContent(h_norm->GetXaxis()->FindBin(tag));
}
}
void Draw(TFile *qa_file_new, TFile *qa_file_ref, const TString &prefix, const TString &tag)
{
auto h_new = static_cast<TH1 *>(qa_file_new->GetObjectChecked(prefix + tag, "TH1"));
assert(h_new);
//h_new->Sumw2();
h_new->Scale(1. / Nevent_new);
TH1 *h_ref = nullptr;
if (qa_file_ref)
{
h_ref = static_cast<TH1 *>(qa_file_ref->GetObjectChecked(prefix + tag, "TH1"));
assert(h_ref);
//h_ref->Sumw2();
h_ref->Scale(1.0 / Nevent_ref);
}
DrawReference(h_new, h_ref);
HorizontalLine(gPad, 1)->Draw();
}
} // namespace
In [25]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationTracking";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
auto c1 = new TCanvas(TString("QA_Draw_Tracking_nClus_Layer") + TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_nClus_Layer") + TString("_") + hist_name_prefix,
950, 600);
c1->Divide(2, 1);
c1->cd(1);
GetNormalization(qa_file_new, qa_file_ref, prefix, "Truth Track");
Draw(qa_file_new, qa_file_ref, prefix, "nClus_layerGen");
c1->cd(2);
GetNormalization(qa_file_new, qa_file_ref, prefix, "Reco Track");
Draw(qa_file_new, qa_file_ref, prefix, "nClus_layer");
// SaveCanvas(c1, TString(qa_file_name_new) + TString("_") + TString(c1->GetName()), true);
c1->Draw();
}
KSTestSummary::PushKSTest - Warning - received pValue = 0. Reset to an arbitary small non-zero value (e^(-15))
Upsilon reconstruction¶
One Υ(1S)→e+e− is embedded. Here is its reco results
In [26]:
%%cpp -d
// square
inline double square( const double& x ) { return x*x; }
// christal ball function for momentum resolution fit
Double_t CBcalc(Double_t *xx, Double_t *par)
{
// Crystal Ball fit to one state
double f;
const double x = xx[0];
// The four parameters (alpha, n, x_mean, sigma) plus normalization (N) are:
const double alpha = par[0];
const double n = par[1];
const double x_mean = par[2];
const double sigma = par[3];
const double N = par[4];
// dimensionless variable
const double t = (x-x_mean)/sigma;
// The Crystal Ball function is:
if( t > -alpha)
{
return N * exp( -square(t)/2 );
}
else
{
const double A = pow( (n/TMath::Abs(alpha)),n) * exp(-square(alpha)/2.0);
const double B = n/TMath::Abs(alpha) - TMath::Abs(alpha);
return N * A * pow(B - t, -n);
}
}
// christal ball function for Upsilon fits
Double_t CBcalc2(Double_t *xx, Double_t *par)
{
// Crystal Ball fit to one state
const double x = xx[0];
/* The parameters are:
* N the normalization
* x_mean, sigma
* alpha_left, n_left
* alpha_right, n_right
*/
const double N = par[0];
const double x_mean = par[1];
const double sigma = par[2];
const double t = (x-x_mean)/sigma;
// left tail
const double alpha_left = std::abs(par[3]);
const double n_left = par[4];
// right tail
const double alpha_right = std::abs(par[5]);
const double n_right = par[6];
// The Crystal Ball function is:
if( t < -alpha_left )
{
const double A = pow( (n_left/TMath::Abs(alpha_left)),n_left) * exp(-square(alpha_left)/2.0);
const double B = n_left/std::abs(alpha_left) - std::abs(alpha_left);
return N * A * pow(B - t, -n_left);
} else if( t > alpha_right ) {
const double A = pow( (n_right/TMath::Abs(alpha_right)),n_right) * exp(-square(alpha_right)/2.0);
const double B = n_right/std::abs(alpha_right) - std::abs(alpha_right);
return N * A * pow(B + t, -n_right);
} else {
return N * exp( -square(t)/2);
}
}
In [27]:
%%cpp
{
const char *hist_name_prefix = "QAG4SimulationUpsilon";
TString prefix = TString("h_") + hist_name_prefix + TString("_");
// obtain normalization
double Nevent_new = 1;
double Nevent_ref = 1;
if ( qa_file_new->GetObjectChecked(
prefix + TString("pTRecoGenRatio_pTGen"), "TH2")
== nullptr )
{
cout <<"QAG4SimulationUpsilon is not enabled. Skip...."<<endl;
}
else
{
TCanvas *c1 = new TCanvas(TString("QA_Draw_Tracking_UpsilonOverview") + TString("_") + hist_name_prefix,
TString("QA_Draw_Tracking_UpsilonOverview") + TString("_") + hist_name_prefix,
950, 600);
c1->Divide(2, 1);
int idx = 1;
TPad *p;
{
p = (TPad *) c1->cd(idx++);
c1->Update();
p->SetLogy();
TH2 *h_new = (TH2 *) qa_file_new->GetObjectChecked(
prefix + TString("pTRecoGenRatio_pTGen"), "TH2");
assert(h_new);
// h_new->Rebin(1, 2);
//h_new->Sumw2();
// h_new->Scale(1. / Nevent_new);
TH2 *h_ref = NULL;
if (qa_file_ref)
{
h_ref = (TH2 *) qa_file_ref->GetObjectChecked(
prefix + TString("pTRecoGenRatio_pTGen"), "TH2");
assert(h_ref);
// h_ref->Rebin(1, 2);
//h_ref->Sumw2();
h_ref->Scale(Nevent_new / Nevent_ref);
}
TH1 *h_proj_new = h_new->ProjectionY(
TString::Format(
"%s_New_ProjX",
h_new->GetName()));
h_proj_new->GetXaxis()->SetRangeUser(0, 1.3);
h_proj_new->SetTitle(TString(hist_name_prefix) + TString::Format(
": Electron lineshape"));
h_proj_new->GetXaxis()->SetTitle(TString::Format(
"Reco p_{T}/Truth p_{T}"));
TF1 *f_eLineshape = new TF1("f_eLineshape", CBcalc, 7, 11, 5);
f_eLineshape->SetParameter(0, 1.0);
f_eLineshape->SetParameter(1, 1.0);
f_eLineshape->SetParameter(2, 0.95);
f_eLineshape->SetParameter(3, 0.08);
f_eLineshape->SetParameter(4, 20.0);
f_eLineshape->SetParNames("alpha","n","m","sigma","N");
f_eLineshape->SetLineColor(kRed);
f_eLineshape->SetLineWidth(3);
f_eLineshape->SetLineStyle(kSolid);
f_eLineshape->SetNpx(1000);
h_proj_new->Fit(f_eLineshape);
TH1 *h_proj_ref = nullptr;
if (h_ref)
{
h_proj_ref =
h_ref->ProjectionY(
TString::Format(
"%s_Ref_ProjX",
h_new->GetName()));
}
TF1 *f_eLineshape_ref = new TF1("f_eLineshape_ref", CBcalc, 7, 11, 5);
f_eLineshape_ref->SetParameter(0, 1.0);
f_eLineshape_ref->SetParameter(1, 1.0);
f_eLineshape_ref->SetParameter(2, 0.95);
f_eLineshape_ref->SetParameter(3, 0.08);
f_eLineshape_ref->SetParameter(4, 20.0);
f_eLineshape_ref->SetParNames("alpha","n","m","sigma","N");
f_eLineshape_ref->SetLineColor(kRed);
f_eLineshape_ref->SetLineWidth(3);
f_eLineshape_ref->SetLineStyle(kSolid);
h_proj_ref->Fit(f_eLineshape_ref);
DrawReference(h_proj_new, h_proj_ref);
f_eLineshape->Draw("same");
char resstr_1[500];
sprintf(resstr_1,"#sigma_{dp/p} = %.2f #pm %.2f %%", f_eLineshape->GetParameter(3)*100, f_eLineshape->GetParError(3)*100);
TLatex *res_1 = new TLatex(0.2,0.75,resstr_1);
res_1->SetNDC();
res_1->SetTextSize(0.05);
res_1->SetTextAlign(13);
res_1->Draw();
char resstr_2[500];
sprintf(resstr_2,"#sigma_{dp/p,ref} = %.2f #pm %.2f %%", f_eLineshape_ref->GetParameter(3)*100, f_eLineshape_ref->GetParError(3)*100);
TLatex *res_2 = new TLatex(0.2,0.7,resstr_2);
res_2->SetNDC();
res_2->SetTextSize(0.05);
res_2->SetTextAlign(13);
res_2->Draw();
}
{
p = (TPad *) c1->cd(idx++);
c1->Update();
// p->SetLogy();
TH1 *h_new = (TH1 *) qa_file_new->GetObjectChecked(
prefix + TString("nReco_Pair_InvMassReco"), "TH1");
assert(h_new);
// h_new->Rebin(2);
// h_new->Sumw2();
// h_new->Scale(1. / Nevent_new);
TF1 *f1S = new TF1("f1S", CBcalc2, 7, 11, 7);
f1S->SetParameter(0, 50.0);
f1S->SetParameter(1, 9.46);
f1S->SetParameter(2, 0.08);
f1S->SetParameter(3, 1.0);
f1S->SetParameter(4, 3.0);
f1S->SetParameter(5, 1.0);
f1S->SetParLimits(3, 0.120, 10);
f1S->SetParLimits(4, 1.05, 10);
f1S->SetParameter(6, 3.0);
f1S->SetParLimits(5, 0.120, 10);
f1S->SetParLimits(6, 1.05, 10);
f1S->SetParNames("N", "m", "#sigma", "#alpha_{left}","n_{left}","#alpha_{right}","#sigma_{right}");
f1S->SetLineColor(kRed);
f1S->SetLineWidth(3);
f1S->SetLineStyle(kSolid);
f1S->SetNpx(1000);
h_new->Fit(f1S);
TH1 *h_ref = NULL;
if (qa_file_ref)
{
h_ref = (TH1 *) qa_file_ref->GetObjectChecked(
prefix + TString("nReco_Pair_InvMassReco"), "TH1");
assert(h_ref);
// h_ref->Rebin(2);
// h_ref->Sumw2();
// h_ref->Scale(Nevent_new / Nevent_ref);
}
h_new->SetTitle(TString(hist_name_prefix) + TString::Format(
": #Upsilon #rightarrow e^{+}e^{-} lineshape"));
h_new->GetXaxis()->SetRangeUser(7, 10);
TF1 *f1S_ref = new TF1("f1S_ref", CBcalc2, 7, 11, 7);
f1S_ref->SetParameter(0, 50.0);
f1S_ref->SetParameter(1, 9.46);
f1S_ref->SetParameter(2, 0.08);
f1S_ref->SetParameter(3, 1.0);
f1S_ref->SetParameter(4, 3.0);
f1S_ref->SetParameter(5, 1.0);
f1S_ref->SetParLimits(3, 0.120, 10);
f1S_ref->SetParLimits(4, 1.05, 10);
f1S_ref->SetParameter(6, 3.0);
f1S_ref->SetParLimits(5, 0.120, 10);
f1S_ref->SetParLimits(6, 1.05, 10);
f1S_ref->SetParNames("N", "m", "#sigma", "#alpha_{left}","n_{left}","#alpha_{right}","#sigma_{right}");
f1S_ref->SetLineColor(kRed);
f1S_ref->SetLineWidth(3);
f1S_ref->SetLineStyle(kSolid);
h_ref->Fit(f1S_ref);
DrawReference(h_new, h_ref, false);
f1S->Draw("same");
// cout << "f1S pars " << f1S->GetParameter(3) << " " << f1S->GetParError(3) << endl;
char resstr_3[500];
sprintf(resstr_3,"#sigma_{1S} = %.1f #pm %.1f MeV", f1S->GetParameter(2)*1000, f1S->GetParError(2)*1000);
TLatex *res_3 = new TLatex(0.2,0.75,resstr_3);
res_3->SetNDC();
res_3->SetTextSize(0.05);
res_3->SetTextAlign(13);
res_3->Draw();
char resstr_4[500];
sprintf(resstr_4,"#sigma_{1S,ref} = %.1f #pm %.1f MeV", f1S_ref->GetParameter(2)*1000, f1S_ref->GetParError(2)*1000);
TLatex *res_4 = new TLatex(0.2,0.7,resstr_4);
res_4->SetNDC();
res_4->SetTextSize(0.05);
res_4->SetTextAlign(13);
res_4->Draw();
ofstream fcsv;
fcsv.open ("Upsilon_mean.csv");
fcsv<<"Upsilon mean (GeV)"<<endl;
fcsv<<f1S->GetParameter(1)<<endl;
fcsv.close();
fcsv.open ("Upsilon_width.csv");
fcsv<<"Upsilon width (GeV)"<<endl;
fcsv<<f1S->GetParameter(2)<<endl;
fcsv.close();
fcsv.open ("Upsilon_count.csv");
fcsv<<"Upsilon reconstructed"<<endl;
fcsv<<f1S->GetParameter(0)<<endl;
fcsv.close();
}
// SaveCanvas(c1, TString(qa_file_name_new) + TString("_") + TString(c1->GetName()), true);
c1 -> Draw();
}// if checks
}
****************************************
Minimizer is Minuit2 / Migrad
Chi2 = 252.723
NDf = 258
Edm = 2.15351e-06
NCalls = 288
alpha = 1.35923 +/- 0.10647
n = 0.704631 +/- 0.0762302
m = 0.993478 +/- 0.00137097
sigma = 0.0227885 +/- 0.00165465
N = 68.974 +/- 4.01965
****************************************
Minimizer is Minuit2 / Migrad
Chi2 = 261.726
NDf = 262
Edm = 1.42453e-07
NCalls = 326
alpha = 1.23928 +/- 0.0596344
n = 0.884641 +/- 0.0528633
m = 0.99592 +/- 0.000706316
sigma = 0.0204218 +/- 0.000789757
N = 101.387 +/- 4.18346
****************************************
Minimizer is Minuit2 / Migrad
Chi2 = 130.802
NDf = 195
Edm = 1.37271e-05
NCalls = 801
N = 11.2474 +/- 2.09969
m = 9.50294 +/- 0.0181701
#sigma = 0.046622 +/- 0.0132821
#alpha_{left} = 0.120016 +/- 0.48547 (limited)
n_{left} = 1.05 +/- 0.0168182 (limited)
#alpha_{right} = 0.853692 +/- 0.178662 (limited)
#sigma_{right} = 1.05 +/- 0.155876 (limited)
****************************************
Minimizer is Minuit2 / Migrad
Chi2 = 119.46
NDf = 192
Edm = 2.03427e-06
NCalls = 447
N = 24.0374 +/- 2.85435
m = 9.46004 +/- 0.0228778
#sigma = 0.10052 +/- 0.0326309
#alpha_{left} = 0.410059 +/- 0.105766 (limited)
n_{left} = 1.05 +/- 0.0162644 (limited)
#alpha_{right} = 1.20003 +/- 0.21101 (limited)
#sigma_{right} = 1.05 +/- 0.204233 (limited)
Summary statistics¶
In [28]:
%%cpp
KSTestSummary::getInstance()->make_summary_txt("QA-tracking.txt");
This notebook contains 25 KSTets: combined Chi2/nDoF = 387.529 / 50, and combined __p-Value = 1.01895e-53__
In [29]:
%%cpp
KSTestSummary::getInstance()->make_summary_TCanvas() -> Draw();
In [ ]:
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