| 1 |
jengbou |
1.1 |
#include <vector>
|
| 2 |
|
|
#include <TROOT.h>
|
| 3 |
|
|
#include <TFile.h>
|
| 4 |
|
|
#include <TH1.h>
|
| 5 |
|
|
#include <TH2.h>
|
| 6 |
|
|
#include <TLatex.h>
|
| 7 |
|
|
#include <TCanvas.h>
|
| 8 |
|
|
#include <TMath.h>
|
| 9 |
|
|
#include <TLegend.h>
|
| 10 |
|
|
#include <TObject.h>
|
| 11 |
|
|
#include <iostream>
|
| 12 |
|
|
#include <sstream>
|
| 13 |
|
|
#include <fstream>
|
| 14 |
|
|
#include <iomanip>
|
| 15 |
|
|
#include <map>
|
| 16 |
|
|
#include <sys/types.h>
|
| 17 |
|
|
#include <sys/stat.h>
|
| 18 |
|
|
#include <stdio.h>
|
| 19 |
|
|
|
| 20 |
|
|
const double stepsize = 0.001;
|
| 21 |
|
|
//=================================
|
| 22 |
|
|
// Structure/Functions
|
| 23 |
|
|
//=================================
|
| 24 |
|
|
|
| 25 |
|
|
struct testMC {
|
| 26 |
|
|
testMC(Double_t p = 0., Double_t sb = 0., Double_t ss = 0.){prob=p; scaleF_backg = sb; scaleF_sample = ss;}
|
| 27 |
|
|
Double_t prob;
|
| 28 |
|
|
Double_t scaleF_backg;
|
| 29 |
|
|
Double_t scaleF_sample;
|
| 30 |
|
|
};
|
| 31 |
|
|
|
| 32 |
|
|
//function for doing KS test
|
| 33 |
|
|
vector<testMC> doKStest(Double_t NsS, Double_t Ns1, Double_t Ns2, TH1F* mixS, TH1F* s1, TH1F* s2) {
|
| 34 |
|
|
vector<testMC> output;
|
| 35 |
|
|
//define the scale factors
|
| 36 |
|
|
Double_t sf1 = 0.0; // QCD
|
| 37 |
|
|
Double_t sf2 = 0.0; // Wjets
|
| 38 |
|
|
//KS test
|
| 39 |
|
|
do {
|
| 40 |
|
|
sf1 = (NsS - Ns2*sf2)/Ns1;
|
| 41 |
|
|
if (sf1 < 0) break;
|
| 42 |
|
|
//cout << "..........sf1 = " << sf1 << endl;
|
| 43 |
|
|
int nbins = mixS->GetNbinsX();
|
| 44 |
|
|
double xmin = mixS->GetXaxis()->GetBinLowEdge(1);
|
| 45 |
|
|
double xmax = mixS->GetXaxis()->GetBinUpEdge(nbins);
|
| 46 |
|
|
TH1F *test = new TH1F("test", "", nbins, xmin, xmax);
|
| 47 |
|
|
test -> Sumw2();
|
| 48 |
|
|
test -> Add(s1,s2,sf1,sf2);
|
| 49 |
|
|
//test->Scale(1./(1.*test->Integral()));
|
| 50 |
|
|
Double_t probability = mixS -> KolmogorovTest(test,"");
|
| 51 |
|
|
testMC temp = testMC(probability,sf1,sf2);
|
| 52 |
|
|
output.push_back(temp);
|
| 53 |
|
|
// cout << "probability = " << setw(15) << temp.prob
|
| 54 |
|
|
// << "; sfQCD = " << setw(10) << temp.scaleF_backg
|
| 55 |
|
|
// << "; sfWjets = " << setw(6) << temp.scaleF_sample << endl;
|
| 56 |
|
|
delete test;
|
| 57 |
|
|
sf2 = sf2 + stepsize;
|
| 58 |
|
|
} while(sf1 > 0 && sf2 <= 2.0);
|
| 59 |
|
|
return output;
|
| 60 |
|
|
}
|
| 61 |
|
|
|
| 62 |
|
|
//get the maximum KS test result
|
| 63 |
|
|
testMC getMax(vector<testMC> vec) {
|
| 64 |
|
|
testMC maxKSRes;
|
| 65 |
|
|
Double_t maximum = 0.0;
|
| 66 |
|
|
for (size_t i = 0; i < vec.size(); i++) {
|
| 67 |
|
|
if (maximum < vec.at(i).prob) {
|
| 68 |
|
|
maximum = vec.at(i).prob;
|
| 69 |
|
|
maxKSRes = vec.at(i);
|
| 70 |
|
|
}
|
| 71 |
|
|
}
|
| 72 |
|
|
cout << "for maximum: " << setw(12) << maxKSRes.prob
|
| 73 |
|
|
<< "; sb = " << setw(10) << maxKSRes.scaleF_backg
|
| 74 |
|
|
<< "; ss = " << setw(5) << maxKSRes.scaleF_sample << endl;
|
| 75 |
|
|
return maxKSRes;
|
| 76 |
|
|
}
|
