| 1 |
// [USAGE]
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| 2 |
// Modify fillNumbers[] to corresponding runs
|
| 3 |
// .L pvHistory.C+
|
| 4 |
// pvHistory("skimmed files",true) ==> the second argument means drawing w.r.t LHC fill number instead of runnumber
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| 5 |
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| 6 |
#if !defined(__CINT__) && !defined(__MAKECINT__)
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| 7 |
#include "DataFormats/FWLite/interface/Handle.h"
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| 8 |
#include "DataFormats/FWLite/interface/Event.h"
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| 9 |
#include "DataFormats/FWLite/interface/ChainEvent.h"
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| 10 |
//Headers for the data items
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| 11 |
#include "DataFormats/VertexReco/interface/Vertex.h"
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| 12 |
#include "DataFormats/BeamSpot/interface/BeamSpot.h"
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| 13 |
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| 14 |
#endif
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| 15 |
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| 16 |
#include "TROOT.h"
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| 17 |
#include "TH2F.h"
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| 18 |
#include "TFile.h"
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| 19 |
#include "TF1.h"
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| 20 |
#include "TCanvas.h"
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| 21 |
#include "TMath.h"
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| 22 |
#include "TBox.h"
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| 23 |
#include <vector>
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| 24 |
#include <map>
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| 25 |
#include <string>
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| 26 |
#include "TStyle.h"
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| 27 |
#include "TPaveText.h"
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| 28 |
#include "TLegend.h"
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| 29 |
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| 30 |
using namespace std;
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| 31 |
typedef map<unsigned int, unsigned int> RunNumberMap;
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| 32 |
typedef map<RunNumberMap,unsigned int> FillNumberMap;
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| 33 |
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| 34 |
bool LHCFill;
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| 35 |
//
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| 36 |
// iterative fit of +- 2 sigma Gaussian core on a 1d histogram
|
| 37 |
//
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| 38 |
bool fitHistogram (TH1* slice, TF1& fg, double* pars, double* epars, bool dbg = false) {
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| 39 |
// initialization of parameters
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| 40 |
pars[0] = slice->GetMaximum();
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| 41 |
pars[1] = slice->GetMean();
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| 42 |
pars[2] = slice->GetRMS();
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| 43 |
epars[0] = 0;
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epars[1] = 0;
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epars[2] = 0;
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// some iterations
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bool converged(false);
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| 48 |
for ( unsigned int it=0; it<10; ++it) {
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| 49 |
const double nSigRange = 2.;
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| 50 |
fg.SetParameters(pars);
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| 51 |
double oldMean = pars[1];
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double oldWidth = pars[2];
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if ( it>0 ) {
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fg.SetRange(pars[1]-nSigRange*pars[2],
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| 55 |
pars[1]+nSigRange*pars[2]);
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// if ( dbg ) {
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// cout << "Setting range to " << pars[1]-nSigRange*pars[2]
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| 58 |
// << " " << pars[1]+nSigRange*pars[2] << endl;
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| 59 |
// }
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}
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else {
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fg.SetRange(slice->GetXaxis()->GetXmin(),
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slice->GetXaxis()->GetXmax());
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| 64 |
// if ( dbg ) {
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// cout << "Setting range to " << slice->GetXaxis()->GetXmin()
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| 66 |
// << " " << slice->GetXaxis()->GetXmax() << endl;
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| 67 |
// }
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}
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if ( dbg )
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slice->Fit(&fg,"QLR+");
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else
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slice->Fit(&fg,"QLR");
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fg.GetParameters(pars);
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epars[0] = fg.GetParError(0);
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epars[1] = fg.GetParError(1);
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| 76 |
epars[2] = fg.GetParError(2);
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| 77 |
if ( converged ) {
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| 78 |
cout << "terminating at iteration " << it << " "
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| 79 |
<< pars[1] << " " << oldMean << " " << epars[1] << " "
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| 80 |
<< pars[2] << " " << oldWidth << " " << epars[2] << endl;
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break;
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}
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else if ( dbg ) {
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cout << " at iteration " << it << " "
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| 85 |
<< pars[1] << " " << oldMean << " " << epars[1] << " "
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<< pars[2] << " " << oldWidth << " " << epars[2] << endl;
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}
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// convergence criterion
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if ( it>2 &&
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fabs((pars[1]-oldMean))<max(fabs(0.01*epars[1]),0.0010) &&
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| 91 |
fabs((pars[2]-oldWidth))<max(fabs(0.01*epars[2]),0.0010) ) {
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converged = true;
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}
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}
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| 95 |
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| 96 |
return converged;
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}
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| 99 |
//
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// fit Gaussian to slices of the 2d "run" histogram
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//
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void fitRunHistogram (TH2* histo, TH1*& hmean, TH1*& hwidth) {
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//
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// create histograms for mean and width vs. run
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//
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TDirectory* saveDir = gDirectory;
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gROOT->cd();
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int nbin = histo->GetNbinsX();
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string title = histo->GetName();
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TAxis* xhisto = histo->GetXaxis();
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hmean = new TH1F((title+"Mean").c_str(),title.c_str(),nbin,-0.5,nbin-0.5);
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TAxis* xhmean = hmean->GetXaxis();
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hwidth = new TH1F((title+"Width").c_str(),title.c_str(),nbin,-0.5,nbin-0.5);
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TAxis* xhwidth = hwidth->GetXaxis();
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//
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// fit function
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//
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TF1 fg("fg","gaus");
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//
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// loop over runs
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//
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bool converged;
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double pars[3];
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| 124 |
double epars[3];
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| 125 |
for ( unsigned int ib=1; ib<=nbin; ++ib ) {
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//
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// initialize mean and width to 0 error
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//
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hmean->SetBinError(ib,0.);
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| 130 |
hwidth->SetBinError(ib,0.);
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//
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// get slice
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//
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TH1* slice =
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histo->ProjectionY((title+xhisto->GetBinLabel(ib)).c_str(),ib,ib);
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// drop histograms with too few entries
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| 137 |
if ( slice->GetEntries()<100 ) {
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delete slice;
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continue;
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| 140 |
}
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//
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// fit slice
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//
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converged = fitHistogram(slice,fg,pars,epars);
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| 145 |
if ( converged ) {
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// copy parameters and errors
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| 147 |
hmean->SetBinContent(ib,pars[1]);
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| 148 |
hmean->SetBinError(ib,epars[1]);
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hwidth->SetBinContent(ib,pars[2]);
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hwidth->SetBinError(ib,epars[2]);
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}
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else {
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cout << "No convergence for " << histo->GetName() << " / run "
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| 154 |
<< histo->GetXaxis()->GetBinLabel(ib) << endl;
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// refit with debug flag
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| 156 |
// fitHistogram(slice,fg,pars,epars,true);
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| 157 |
hmean->SetBinContent(ib,pars[1]);
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| 158 |
hmean->SetBinError(ib,epars[1]);
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hwidth->SetBinContent(ib,pars[2]);
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hwidth->SetBinError(ib,epars[2]);
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}
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// keep failing fits for debugging
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// if ( converged ) delete slice;
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xhmean->SetBinLabel(ib,xhisto->GetBinLabel(ib));
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xhwidth->SetBinLabel(ib,xhisto->GetBinLabel(ib));
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}
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saveDir->cd();
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}
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//
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// set x-axis labels to run number
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| 173 |
//
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| 174 |
void setRunNumberLabels (TH1* histo, RunNumberMap& runNumbers) {
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| 175 |
char label[32];
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| 176 |
TAxis* axis = histo->GetXaxis();
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| 177 |
for ( RunNumberMap::const_iterator i=runNumbers.begin();
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| 178 |
i!=runNumbers.end(); ++i ) {
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| 179 |
if ((*i).first == 124120 || (*i).first == 124275)
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| 180 |
sprintf(label,"%d %s",(*i).first," (2.36 TeV)");
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else
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sprintf(label,"%d",(*i).first);
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| 183 |
axis->SetBinLabel((*i).second+1,label);
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}
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}
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void setRunNumberLabels (TH1* histo, FillNumberMap& fillNumbers) {
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char label[32];
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| 189 |
TAxis* axis = histo->GetXaxis();
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| 190 |
for ( FillNumberMap::const_iterator i=fillNumbers.begin();
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| 191 |
i!=fillNumbers.end(); ++i ) {
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RunNumberMap tmp((*i).first);
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if (tmp.begin()->first == 124120 || tmp.begin()->first == 124275)
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sprintf(label,"%d %s",(*i).second," (2.36 TeV)");
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else
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sprintf(label,"%d",(*i).second);
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axis->SetBinLabel((tmp.begin()->second)+1,label);
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}
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}
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//
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// plot PV distribution for a single run with indication of BS position
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//
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| 204 |
void plotRun (char coord, int run)
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{
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char title[64];
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| 207 |
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| 208 |
sprintf(title,"pv%cVsRun%d",coord,run);
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TH1* hpv = (TH1*)gROOT->FindObject(title);
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if ( hpv==0 ) return;
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| 212 |
sprintf(title,"pv%cRun%d",coord,run);
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TCanvas* c = new TCanvas(title);
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| 215 |
hpv->Draw();
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| 217 |
sprintf(title,"bs%cVsRunMean",coord);
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| 218 |
TH1* hbs = (TH1*)gROOT->FindObject(title);
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sprintf(title,"%d",run);
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| 220 |
double vbs(0.);
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| 221 |
double ebs(0.);
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for ( unsigned int ib=1; ib<=hbs->GetNbinsX(); ++ib ) {
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| 223 |
const char* label = hbs->GetXaxis()->GetBinLabel(ib);
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| 224 |
if ( strcmp(title,label)==0 ) {
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| 225 |
vbs = hbs->GetBinContent(ib);
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| 226 |
ebs = hbs->GetBinError(ib);
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break;
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}
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}
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| 230 |
TBox* box = new TBox(vbs-ebs,0,vbs+ebs,hpv->GetMaximum());
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| 231 |
box->SetFillStyle(1001);
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box->SetFillColor(7);
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box->Draw();
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| 234 |
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| 235 |
hpv->Draw("same");
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| 236 |
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| 237 |
sprintf(title,"pv%cRun%d.eps",coord,run);
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c->SaveAs(title);
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| 239 |
delete c;
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| 240 |
}
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| 241 |
//
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| 242 |
// summary plots (PV + BS) vs run
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| 243 |
//
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| 244 |
void plotPvVsBs () {
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| 245 |
char coord[] = { "xyz" };
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| 246 |
for ( int ic=0; ic<3; ++ic ) {
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| 247 |
string canvasTitle("pvVsBs");
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| 248 |
canvasTitle += coord[ic];
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| 249 |
TCanvas* c = new TCanvas(canvasTitle.c_str(),canvasTitle.c_str(),
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| 250 |
700,500);
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| 251 |
string bsTitle("bs.VsRunMean");
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| 252 |
bsTitle.replace(2,1,1,coord[ic]);
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| 253 |
TH1* bsVsRun = (TH1*)gROOT->FindObject(bsTitle.c_str());
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| 254 |
string pvTitle("pv.VsRunMean");
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| 255 |
pvTitle.replace(2,1,1,coord[ic]);
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| 256 |
TH1* pvVsRun = (TH1*)gROOT->FindObject(pvTitle.c_str());
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| 257 |
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| 258 |
Double_t yMin,yMax;
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| 259 |
if (ic == 2){
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| 260 |
yMax=pvVsRun->GetMaximum()+0.4;
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| 261 |
yMin=pvVsRun->GetMinimum()-0.4;
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| 262 |
}
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| 263 |
else {
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| 264 |
yMax=pvVsRun->GetMaximum()+0.01;
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| 265 |
yMin=pvVsRun->GetMinimum()-0.005;
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| 266 |
}
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| 267 |
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| 268 |
pvVsRun->GetYaxis()->SetRangeUser(yMin,yMax);
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| 269 |
pvVsRun->GetXaxis()->LabelsOption("u");
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| 270 |
if (LHCFill)
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| 271 |
pvVsRun->GetXaxis()->SetTitle("LHC Fill");
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| 272 |
else
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| 273 |
pvVsRun->GetXaxis()->SetTitle("Run");
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| 274 |
pvVsRun->GetYaxis()->SetTitle(TString(coord[ic])+" (cm)");
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| 275 |
pvVsRun->Draw();
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| 276 |
bsVsRun->SetFillStyle(1001);
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| 277 |
bsVsRun->SetFillColor(7);
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| 278 |
// bsVsRun->SetMarkerStyle(21);
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| 279 |
bsVsRun->SetMarkerColor(7);
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| 280 |
bsVsRun->SetLineColor(7);
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| 281 |
bsVsRun->Draw("E2 same");
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| 282 |
pvVsRun->Draw("same");
|
| 283 |
|
| 284 |
TPaveText *ppt= new TPaveText(.42,.7,.82,.86,"NDC");
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| 285 |
ppt->AddText("CMS Preliminary 2009");
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| 286 |
ppt->SetTextAlign(12);
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| 287 |
ppt->SetTextFont(62);
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| 288 |
ppt->SetTextSize(0.045);
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| 289 |
ppt->SetBorderSize(0);
|
| 290 |
ppt->SetFillStyle(0);
|
| 291 |
ppt->Draw();
|
| 292 |
|
| 293 |
TLegend*l0=new TLegend(0.45,0.6,0.65,0.7);
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| 294 |
l0->SetFillColor(0);
|
| 295 |
l0->SetBorderSize(0);
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| 296 |
l0->AddEntry(pvVsRun," PrimaryVertex","p");
|
| 297 |
l0->AddEntry(bsVsRun," Beam Spot","f");
|
| 298 |
l0->Draw();
|
| 299 |
|
| 300 |
c->Print(TString(canvasTitle)+".eps");
|
| 301 |
|
| 302 |
}
|
| 303 |
}
|
| 304 |
|
| 305 |
//
|
| 306 |
// main entry point
|
| 307 |
//
|
| 308 |
void pvHistory (const vector<string>& fileNames, bool isFill=false) {
|
| 309 |
LHCFill = isFill;
|
| 310 |
|
| 311 |
gROOT->SetStyle("CMS");
|
| 312 |
fwlite::ChainEvent ev(fileNames);
|
| 313 |
|
| 314 |
fwlite::Handle< reco::BeamSpot > bsHandle;
|
| 315 |
fwlite::Handle< vector<reco::Vertex> > pvHandle;
|
| 316 |
//
|
| 317 |
// create list of runs with > 100 PVs
|
| 318 |
//
|
| 319 |
RunNumberMap runNumberCounts;
|
| 320 |
int fillNumbers [] = {904,907,907,911,911,911,912,912,916,919,923};
|
| 321 |
int lastRun(0);
|
| 322 |
for( ev.toBegin(); !ev.atEnd(); ++ev) {
|
| 323 |
unsigned int run = ev.id().run();
|
| 324 |
pvHandle.getByLabel(ev,"offlinePrimaryVertices");
|
| 325 |
|
| 326 |
const reco::Vertex& pv = (*pvHandle)[0];
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| 327 |
if ( pv.tracksSize()>0 && pv.ndof()>2 &&
|
| 328 |
(pv.ndof()+3.)/2./pv.tracksSize()>0.5 ) {
|
| 329 |
++runNumberCounts[run];
|
| 330 |
}
|
| 331 |
}
|
| 332 |
// create list of bin indices
|
| 333 |
unsigned int nRun(0);
|
| 334 |
RunNumberMap runNumberIndices;
|
| 335 |
FillNumberMap fillNumberIndices;
|
| 336 |
int nFill=0;
|
| 337 |
for ( RunNumberMap::iterator i=runNumberCounts.begin();
|
| 338 |
i!=runNumberCounts.end(); ++i,nRun++,nFill++ ) {
|
| 339 |
if ( (*i).second>100 ) {
|
| 340 |
runNumberIndices[(*i).first] = nRun;
|
| 341 |
RunNumberMap tmp;
|
| 342 |
tmp[(*i).first] = nRun;
|
| 343 |
fillNumberIndices[tmp] = fillNumbers[nFill];
|
| 344 |
}
|
| 345 |
}
|
| 346 |
for ( FillNumberMap::iterator i=fillNumberIndices.begin();
|
| 347 |
i!=fillNumberIndices.end();++i){
|
| 348 |
RunNumberMap tmp((*i).first);
|
| 349 |
cout << "Run = " << tmp.begin()->first << "; Fill = " << (*i).second << endl;
|
| 350 |
}
|
| 351 |
cout << "Found " << nRun << " run numbers" << endl;
|
| 352 |
//
|
| 353 |
// create histograms
|
| 354 |
//
|
| 355 |
TDirectory* saveDir = gDirectory;
|
| 356 |
gROOT->cd();
|
| 357 |
TH2* pvxVsRun = new TH2F("pvxVsRun","pvxVsRun",nRun,-0.5,nRun-0.5,80,-0.1,0.3);
|
| 358 |
TH2* pvyVsRun = new TH2F("pvyVsRun","pvyVsRun",nRun,-0.5,nRun-0.5,80,-0.2,0.2);
|
| 359 |
TH2* pvzVsRun = new TH2F("pvzVsRun","pvzVsRun",nRun,-0.5,nRun-0.5,80,-20,20);
|
| 360 |
TH2* bsxVsRun = new TH2F("bsxVsRun","bsxVsRun",nRun,-0.5,nRun-0.5,80,0,0.4);
|
| 361 |
TH2* bsyVsRun = new TH2F("bsyVsRun","bsyVsRun",nRun,-0.5,nRun-0.5,80,0,0.4);
|
| 362 |
TH2* bszVsRun = new TH2F("bszVsRun","bszVsRun",nRun,-0.5,nRun-0.5,80,-20,20);
|
| 363 |
TH1* bsxVsRunMean = new TH1F("bsxVsRunMean","bsxVsRunMean",nRun,-0.5,nRun-0.5);
|
| 364 |
TH1* bsyVsRunMean = new TH1F("bsyVsRunMean","bsyVsRunMean",nRun,-0.5,nRun-0.5);
|
| 365 |
TH1* bszVsRunMean = new TH1F("bszVsRunMean","bszVsRunMean",nRun,-0.5,nRun-0.5);
|
| 366 |
saveDir->cd();
|
| 367 |
|
| 368 |
//
|
| 369 |
// fill histograms
|
| 370 |
//
|
| 371 |
lastRun = -1;
|
| 372 |
int idx(-1);
|
| 373 |
//int nev(0);
|
| 374 |
for( ev.toBegin(); !ev.atEnd(); ++ev) {
|
| 375 |
int run = ev.id().run();
|
| 376 |
// if ( (++nev)%1000 == 0 ) cout << "processing record " << nev << " ( run "
|
| 377 |
// << ev.id().run() << " " << " evt "
|
| 378 |
// << ev.id().event() << " )" << endl;
|
| 379 |
//
|
| 380 |
// update bin index if run changed
|
| 381 |
//
|
| 382 |
if ( run!=lastRun ) {
|
| 383 |
RunNumberMap::const_iterator irun = runNumberIndices.find(run);
|
| 384 |
if ( irun == runNumberIndices.end() ) {
|
| 385 |
idx = -1;
|
| 386 |
}
|
| 387 |
else {
|
| 388 |
idx = (*irun).second;
|
| 389 |
}
|
| 390 |
lastRun = run;
|
| 391 |
// cout << "Run " << run << " idx " << idx << endl;
|
| 392 |
}
|
| 393 |
if ( idx<0 ) continue;
|
| 394 |
|
| 395 |
//
|
| 396 |
// retrieve beam spot and PV
|
| 397 |
//
|
| 398 |
bsHandle.getByLabel(ev,"offlineBeamSpot");
|
| 399 |
pvHandle.getByLabel(ev,"offlinePrimaryVertices");
|
| 400 |
//
|
| 401 |
// fill PV histograms (after quality cut)
|
| 402 |
//
|
| 403 |
const reco::Vertex& pv = (*pvHandle)[0];
|
| 404 |
if ( pv.tracksSize()>0 && pv.ndof()>2 &&
|
| 405 |
(pv.ndof()+3.)/2./pv.tracksSize()>0.5 ) {
|
| 406 |
pvxVsRun->Fill(idx,pv.x());
|
| 407 |
pvyVsRun->Fill(idx,pv.y());
|
| 408 |
pvzVsRun->Fill(idx,pv.z());
|
| 409 |
}
|
| 410 |
//
|
| 411 |
// fill BS histograms
|
| 412 |
//
|
| 413 |
bsxVsRun->Fill(idx,bsHandle->x0());
|
| 414 |
bsyVsRun->Fill(idx,bsHandle->y0());
|
| 415 |
bszVsRun->Fill(idx,bsHandle->z0());
|
| 416 |
if ( idx>=0 && idx<bsxVsRun->GetNbinsX() ) {
|
| 417 |
// assume BS is constant / run: fill current value into 1d histogram
|
| 418 |
bsxVsRunMean->SetBinContent(idx+1,bsHandle->x0());
|
| 419 |
bsxVsRunMean->SetBinError(idx+1,bsHandle->x0Error());
|
| 420 |
bsyVsRunMean->SetBinContent(idx+1,bsHandle->y0());
|
| 421 |
bsyVsRunMean->SetBinError(idx+1,bsHandle->y0Error());
|
| 422 |
bszVsRunMean->SetBinContent(idx+1,bsHandle->z0());
|
| 423 |
bszVsRunMean->SetBinError(idx+1,bsHandle->z0Error());
|
| 424 |
}
|
| 425 |
|
| 426 |
}
|
| 427 |
saveDir = gDirectory;
|
| 428 |
//
|
| 429 |
// number of entries / run
|
| 430 |
//
|
| 431 |
gROOT->cd();
|
| 432 |
TH1* npvVsRun = pvzVsRun->ProjectionX("npvVsRun");
|
| 433 |
npvVsRun->SetTitle("npvVsRun");
|
| 434 |
TH1* nbsVsRun = bszVsRun->ProjectionX("nbsVsRun");
|
| 435 |
npvVsRun->SetTitle("nbsVsRun");
|
| 436 |
saveDir->cd();
|
| 437 |
//
|
| 438 |
// set run numbers on x-axis labels
|
| 439 |
//
|
| 440 |
if (! LHCFill) {
|
| 441 |
setRunNumberLabels(npvVsRun,runNumberIndices);
|
| 442 |
setRunNumberLabels(pvxVsRun,runNumberIndices);
|
| 443 |
setRunNumberLabels(pvyVsRun,runNumberIndices);
|
| 444 |
setRunNumberLabels(pvzVsRun,runNumberIndices);
|
| 445 |
setRunNumberLabels(nbsVsRun,runNumberIndices);
|
| 446 |
setRunNumberLabels(bsxVsRun,runNumberIndices);
|
| 447 |
setRunNumberLabels(bsyVsRun,runNumberIndices);
|
| 448 |
setRunNumberLabels(bszVsRun,runNumberIndices);
|
| 449 |
setRunNumberLabels(bsxVsRunMean,runNumberIndices);
|
| 450 |
setRunNumberLabels(bsyVsRunMean,runNumberIndices);
|
| 451 |
setRunNumberLabels(bszVsRunMean,runNumberIndices);
|
| 452 |
}
|
| 453 |
else{
|
| 454 |
setRunNumberLabels(npvVsRun,fillNumberIndices);
|
| 455 |
setRunNumberLabels(pvxVsRun,fillNumberIndices);
|
| 456 |
setRunNumberLabels(pvyVsRun,fillNumberIndices);
|
| 457 |
setRunNumberLabels(pvzVsRun,fillNumberIndices);
|
| 458 |
setRunNumberLabels(nbsVsRun,fillNumberIndices);
|
| 459 |
setRunNumberLabels(bsxVsRun,fillNumberIndices);
|
| 460 |
setRunNumberLabels(bsyVsRun,fillNumberIndices);
|
| 461 |
setRunNumberLabels(bszVsRun,fillNumberIndices);
|
| 462 |
setRunNumberLabels(bsxVsRunMean,fillNumberIndices);
|
| 463 |
setRunNumberLabels(bsyVsRunMean,fillNumberIndices);
|
| 464 |
setRunNumberLabels(bszVsRunMean,fillNumberIndices);
|
| 465 |
}
|
| 466 |
//
|
| 467 |
// fit histograms
|
| 468 |
//
|
| 469 |
TH1* pvxMean; TH1* pvxWidth;
|
| 470 |
fitRunHistogram(pvxVsRun,pvxMean,pvxWidth);
|
| 471 |
TH1* pvyMean; TH1* pvyWidth;
|
| 472 |
fitRunHistogram(pvyVsRun,pvyMean,pvyWidth);
|
| 473 |
TH1* pvzMean; TH1* pvzWidth;
|
| 474 |
fitRunHistogram(pvzVsRun,pvzMean,pvzWidth);
|
| 475 |
|
| 476 |
// cout << pvxMean << endl;
|
| 477 |
// cout << pvxMean->GetNbinsX() << " " << pvxMean->GetXaxis() << endl;
|
| 478 |
//
|
| 479 |
// summary table
|
| 480 |
//
|
| 481 |
for ( unsigned int i=1; i<=pvxMean->GetNbinsX(); ++i ) {
|
| 482 |
if ( pvxMean->GetBinError(i)>1.e-10 ||
|
| 483 |
pvxMean->GetBinError(i)>1.e-10 ||
|
| 484 |
pvxMean->GetBinError(i)>1.e-10 ) {
|
| 485 |
printf(" %-6s : %8.4f +- %6.4f %6.4f +- %6.4f %8.4f +- %6.4f %6.4f +- %6.4f %9.4f +- %7.4f %6.4f +- %7.4f\n",
|
| 486 |
pvxMean->GetXaxis()->GetBinLabel(i),
|
| 487 |
pvxMean->GetBinContent(i),pvxMean->GetBinError(i),
|
| 488 |
pvxWidth->GetBinContent(i),pvxWidth->GetBinError(i),
|
| 489 |
pvyMean->GetBinContent(i),pvyMean->GetBinError(i),
|
| 490 |
pvyWidth->GetBinContent(i),pvyWidth->GetBinError(i),
|
| 491 |
pvzMean->GetBinContent(i),pvzMean->GetBinError(i),
|
| 492 |
pvzWidth->GetBinContent(i),pvzWidth->GetBinError(i));
|
| 493 |
}
|
| 494 |
}
|
| 495 |
|
| 496 |
//
|
| 497 |
// save histograms
|
| 498 |
//
|
| 499 |
TFile* fo = new TFile("./skim_BSC0_AND_40OR41_MinBias_Dec19th_v1_plots.root","recreate");
|
| 500 |
pvxVsRun->Write();
|
| 501 |
pvyVsRun->Write();
|
| 502 |
pvzVsRun->Write();
|
| 503 |
pvxMean->Write();
|
| 504 |
pvxWidth->Write();
|
| 505 |
pvyMean->Write();
|
| 506 |
pvyWidth->Write();
|
| 507 |
pvzMean->Write();
|
| 508 |
pvzWidth->Write();
|
| 509 |
fo->Write();
|
| 510 |
delete fo;
|
| 511 |
|
| 512 |
plotPvVsBs();
|
| 513 |
//
|
| 514 |
// plot inidividual histograms / run
|
| 515 |
//
|
| 516 |
// for ( RunNumberMap::iterator i=runNumberIndices.begin();
|
| 517 |
// i!=runNumberIndices.end(); ++i ) {
|
| 518 |
// plotRun('x',(*i).first);
|
| 519 |
// plotRun('y',(*i).first);
|
| 520 |
// plotRun('z',(*i).first);
|
| 521 |
// }
|
| 522 |
|
| 523 |
}
|
| 524 |
//
|
| 525 |
// call with single file name
|
| 526 |
//
|
| 527 |
void pvHistory (const char* fileName) {
|
| 528 |
vector<string> fileNames(1,fileName);
|
| 529 |
pvHistory(fileNames,false);
|
| 530 |
}
|
| 531 |
|
| 532 |
void pvHistory (const char* fileName,bool isFill) {
|
| 533 |
vector<string> fileNames(1,fileName);
|
| 534 |
pvHistory(fileNames,isFill);
|
| 535 |
}
|
| 536 |
|
