| 1 |
#include <iostream>
|
| 2 |
#include <vector>
|
| 3 |
#include "TMath.h"
|
| 4 |
#include <string>
|
| 5 |
#include <fstream>
|
| 6 |
#include <vector>
|
| 7 |
|
| 8 |
|
| 9 |
struct genInfo {
|
| 10 |
genInfo(){nTight = 0; nLooseMinTight = 0;}
|
| 11 |
int nTight;
|
| 12 |
int nLooseMinTight;
|
| 13 |
};
|
| 14 |
|
| 15 |
struct sampleInfo {
|
| 16 |
sampleInfo() {
|
| 17 |
epsS = 0;
|
| 18 |
DepsS = 0;
|
| 19 |
MCinfo = genInfo();
|
| 20 |
}
|
| 21 |
double epsS;
|
| 22 |
double DepsS;
|
| 23 |
genInfo MCinfo;
|
| 24 |
};
|
| 25 |
|
| 26 |
struct outInfo {
|
| 27 |
outInfo(){nSig = 0; nBkg = 0; errSig = 0; errBkg = 0;}
|
| 28 |
double nSig;
|
| 29 |
double nBkg;
|
| 30 |
double errSig;
|
| 31 |
double errBkg;
|
| 32 |
};
|
| 33 |
|
| 34 |
// The function for calculating teh quantities and their errors
|
| 35 |
// N1 = loose minus tight ; N2 = tight
|
| 36 |
outInfo mxCalculate(int N1, int N2, double epsSig, double DepsSig ,double epsBkg ,double DepsBkg){
|
| 37 |
double a = 0.0;
|
| 38 |
double b = 0.0;
|
| 39 |
double c = 0.0;
|
| 40 |
double d = 0.0;
|
| 41 |
double e = 0.0;
|
| 42 |
double f = 0.0;
|
| 43 |
double g = 0.0;
|
| 44 |
double h = 0.0;
|
| 45 |
double DN1 = 0.0;
|
| 46 |
double DN2 = 0.0;
|
| 47 |
|
| 48 |
outInfo output;
|
| 49 |
|
| 50 |
a = epsBkg*((epsBkg*(N1+N2))-N2)/((epsSig-epsBkg)*(epsSig-epsBkg));
|
| 51 |
b = epsSig*(N2-(epsSig*(N1+N2)))/((epsSig-epsBkg)*(epsSig-epsBkg));
|
| 52 |
c = -epsSig*epsBkg/(epsSig-epsBkg);
|
| 53 |
d = epsSig*(1-epsBkg)/(epsSig-epsBkg);
|
| 54 |
e = epsBkg*(N2-(epsBkg*(N1+N2)))/((epsSig-epsBkg)*(epsSig-epsBkg));
|
| 55 |
f = epsSig*((epsSig*(N1+N2))-N2)/((epsSig-epsBkg)*(epsSig-epsBkg));
|
| 56 |
g = epsBkg*epsSig/(epsSig-epsBkg);
|
| 57 |
h = epsBkg*(epsSig-1)/(epsSig-epsBkg);
|
| 58 |
|
| 59 |
DN1 = sqrt(N1);
|
| 60 |
DN2 = sqrt(N2);
|
| 61 |
|
| 62 |
output.nSig = epsSig*(N2-(epsBkg*(N1+N2)))/(epsSig-epsBkg);
|
| 63 |
output.nBkg = epsBkg*((epsSig*(N1+N2))-N2)/(epsSig-epsBkg);
|
| 64 |
output.errSig = sqrt((a*a*DepsSig*DepsSig)+(b*b*DepsBkg*DepsBkg)+(c*c*DN1*DN1)+(d*d*DN2*DN2));
|
| 65 |
output.errBkg = sqrt((e*e*DepsSig*DepsSig)+(f*f*DepsBkg*DepsBkg)+(g*g*DN1*DN1)+(h*h*DN2*DN2));
|
| 66 |
|
| 67 |
return output;
|
| 68 |
}
|
| 69 |
|
| 70 |
|
| 71 |
|
