| 1 |
buchmann |
1.1 |
/*****************************************************************************
|
| 2 |
|
|
* Project: RooFit *
|
| 3 |
|
|
* *
|
| 4 |
|
|
* This code was autogenerated by RooClassFactory *
|
| 5 |
|
|
*****************************************************************************/
|
| 6 |
|
|
|
| 7 |
|
|
// Your description goes here...
|
| 8 |
|
|
|
| 9 |
|
|
#include "Riostream.h"
|
| 10 |
|
|
#include "RooSUSYCompleteBkgPdf.h"
|
| 11 |
|
|
#include "RooAbsReal.h"
|
| 12 |
|
|
#include "RooAbsCategory.h"
|
| 13 |
|
|
#include "TMath.h"
|
| 14 |
|
|
#include "RooRealVar.h"
|
| 15 |
|
|
#include "RooComplex.h"
|
| 16 |
|
|
#include "RooMath.h"
|
| 17 |
|
|
//ClassImp(RooSUSYBkgPdf)
|
| 18 |
|
|
|
| 19 |
|
|
//RooSUSYCompleteBkgPdf FullModel("FullModel","FullModel",mll, fttbaree, fttbarmm, par1ttbarOF, par2ttbarOF, par3ttbarOF, par4ttbarOF, meanz,widthz, sigmazee, sigmazmm, fzee, fzmm, par1signal, fsignalee, fsignalmm);
|
| 20 |
|
|
RooSUSYCompleteBkgPdf::RooSUSYCompleteBkgPdf(const char *name, const char *title,
|
| 21 |
|
|
RooAbsReal& _mll,
|
| 22 |
|
|
RooAbsReal& _te,
|
| 23 |
|
|
RooAbsReal& _tm,
|
| 24 |
|
|
RooAbsReal& _t1,
|
| 25 |
|
|
RooAbsReal& _t2,
|
| 26 |
|
|
RooAbsReal& _t3,
|
| 27 |
|
|
RooAbsReal& _t4,
|
| 28 |
|
|
RooAbsReal& _meanz,
|
| 29 |
|
|
RooAbsReal& _widthz,
|
| 30 |
|
|
RooAbsReal& _sigmazee,
|
| 31 |
|
|
RooAbsReal& _sigmazmm,
|
| 32 |
|
|
RooAbsReal& _fzee,
|
| 33 |
|
|
RooAbsReal& _fzmm,
|
| 34 |
|
|
RooAbsReal& _s1,
|
| 35 |
|
|
RooAbsReal& _s3,
|
| 36 |
|
|
RooAbsReal& _sn) :
|
| 37 |
|
|
RooAbsPdf(name,title),
|
| 38 |
|
|
mll("mll","mll",this,_mll),
|
| 39 |
|
|
te("te","te",this,_te),
|
| 40 |
|
|
tm("tm","tm",this,_tm),
|
| 41 |
|
|
t1("t1","t1",this,_t1),
|
| 42 |
|
|
t2("t2","t2",this,_t2),
|
| 43 |
|
|
t3("t3","t3",this,_t3),
|
| 44 |
|
|
t4("t4","t4",this,_t4),
|
| 45 |
|
|
meanz("meanz","meanz",this,_meanz),
|
| 46 |
|
|
widthz("widthz","widthz",this,_widthz),
|
| 47 |
|
|
sigmazee("sigmazee","sigmazee",this,_sigmazee),
|
| 48 |
|
|
sigmazmm("sigmazmm","sigmazmm",this,_sigmazmm),
|
| 49 |
|
|
fzee("fzee","fzee",this,_fzee),
|
| 50 |
|
|
fzmm("fzmm","fzmm",this,_fzmm),
|
| 51 |
|
|
s1("s1","s1",this,_s1),
|
| 52 |
|
|
s3("s3","s3",this,_s3),
|
| 53 |
|
|
sn("sn","sn",this,_sn)
|
| 54 |
|
|
{
|
| 55 |
|
|
}
|
| 56 |
|
|
|
| 57 |
|
|
|
| 58 |
|
|
RooSUSYCompleteBkgPdf::RooSUSYCompleteBkgPdf(const RooSUSYCompleteBkgPdf& other, const char* name) :
|
| 59 |
|
|
RooAbsPdf(other,name),
|
| 60 |
|
|
mll("mll",this,other.mll),
|
| 61 |
|
|
te("te",this,other.te),
|
| 62 |
|
|
tm("tm",this,other.tm),
|
| 63 |
|
|
t1("t1",this,other.t1),
|
| 64 |
|
|
t2("t2",this,other.t2),
|
| 65 |
|
|
t3("t3",this,other.t3),
|
| 66 |
|
|
t4("t4",this,other.t4),
|
| 67 |
|
|
meanz("meanz",this,other.meanz),
|
| 68 |
|
|
widthz("widthz",this,other.widthz),
|
| 69 |
|
|
sigmazee("sigmazee",this,other.sigmazee),
|
| 70 |
|
|
sigmazmm("sigmazmm",this,other.sigmazmm),
|
| 71 |
|
|
fzee("fzee",this,other.fzee),
|
| 72 |
|
|
fzmm("fzmm",this,other.fzmm),
|
| 73 |
|
|
s1("s1",this,other.s1),
|
| 74 |
|
|
s3("s3",this,other.s3),
|
| 75 |
|
|
sn("sn",this,other.sn)
|
| 76 |
|
|
{
|
| 77 |
|
|
}
|
| 78 |
|
|
|
| 79 |
|
|
|
| 80 |
|
|
Double_t RooSUSYCompleteBkgPdf::Voigtian(float x, float sigma,float width,float mean) const
|
| 81 |
|
|
{
|
| 82 |
|
|
Double_t s = (sigma>0) ? sigma : -sigma ;
|
| 83 |
|
|
Double_t w = (width>0) ? width : -width ;
|
| 84 |
|
|
|
| 85 |
|
|
Double_t coef= -0.5/(s*s);
|
| 86 |
|
|
Double_t arg = x - mean;
|
| 87 |
|
|
|
| 88 |
|
|
// return constant for zero width and sigma
|
| 89 |
|
|
if (s==0. && w==0.) return 1.;
|
| 90 |
|
|
|
| 91 |
|
|
// Breit-Wigner for zero sigma
|
| 92 |
|
|
if (s==0.) return (1./(arg*arg+0.25*w*w));
|
| 93 |
|
|
|
| 94 |
|
|
// Gauss for zero width
|
| 95 |
|
|
if (w==0.) return exp(coef*arg*arg);
|
| 96 |
|
|
|
| 97 |
|
|
// actual Voigtian for non-trivial width and sigma
|
| 98 |
|
|
Double_t c = 1./(sqrt(2.)*s);
|
| 99 |
|
|
Double_t a = 0.5*c*w;
|
| 100 |
|
|
Double_t u = c*arg;
|
| 101 |
|
|
RooComplex z(u,a) ;
|
| 102 |
|
|
RooComplex v(0.) ;
|
| 103 |
|
|
|
| 104 |
|
|
v = RooMath::ComplexErrFunc(z);
|
| 105 |
|
|
|
| 106 |
|
|
double _invRootPi=_invRootPi= 1./sqrt(atan2(0.,-1.));
|
| 107 |
|
|
return c*_invRootPi*v.re();
|
| 108 |
|
|
}
|
| 109 |
|
|
|
| 110 |
|
|
Double_t RooSUSYCompleteBkgPdf::GetSignal(float c, float s, float m0) const
|
| 111 |
|
|
{
|
| 112 |
|
|
float value = c*(TMath::Sqrt(2)*s*(TMath::Exp(-mll*mll/(2*s*s))-TMath::Exp(-(m0-mll)*(m0-mll)/(2*s*s)))+mll*TMath::Sqrt(TMath::Pi())*(TMath::Erf(mll/(TMath::Sqrt(2)*s))+TMath::Erf((m0-mll)/(TMath::Sqrt(2)*s))));
|
| 113 |
|
|
if(value>0) return value;
|
| 114 |
|
|
else return 0.;
|
| 115 |
|
|
}
|
| 116 |
|
|
|
| 117 |
buchmann |
1.2 |
Double_t RooSUSYCompleteBkgPdf::TTNormalization() const
|
| 118 |
|
|
{
|
| 119 |
|
|
Double_t sum=0.0;
|
| 120 |
|
|
for(float a=20.0;a<=300;a+=0.1) {
|
| 121 |
|
|
sum+=TMath::Power(a,t1)*TMath::Exp(-t3*a);
|
| 122 |
|
|
}
|
| 123 |
|
|
return sum;
|
| 124 |
|
|
}
|
| 125 |
buchmann |
1.1 |
|
| 126 |
buchmann |
1.2 |
|
| 127 |
|
|
Double_t RooSUSYCompleteBkgPdf::DYNormalization(Double_t sigma) const
|
| 128 |
|
|
{
|
| 129 |
|
|
Double_t sum=0.0;
|
| 130 |
|
|
for(float a=20.0;a<=300;a+=0.1) {
|
| 131 |
|
|
sum+=RooSUSYCompleteBkgPdf::Voigtian(a,sigma,widthz,meanz);
|
| 132 |
|
|
}
|
| 133 |
|
|
return sum;
|
| 134 |
|
|
}
|
| 135 |
|
|
|
| 136 |
|
|
Double_t RooSUSYCompleteBkgPdf::evaluate() const
|
| 137 |
buchmann |
1.1 |
{
|
| 138 |
|
|
// ENTER EXPRESSION IN TERMS OF VARIABLE ARGUMENTS HERE
|
| 139 |
|
|
|
| 140 |
buchmann |
1.2 |
// float TTNormalization=1.0/(-pow(300.0,t1)*expint(t1,300.0*t3)+pow(20.0,t1)*expint(t1,20.0*t3)); // 300 and 20 are the limits within which we want to have ttbar normalized!
|
| 141 |
|
|
float TTNormalization=1.0/RooSUSYCompleteBkgPdf::TTNormalization();
|
| 142 |
|
|
|
| 143 |
|
|
float eeVoigtianNormalization=1.0/RooSUSYCompleteBkgPdf::DYNormalization(sigmazee);
|
| 144 |
|
|
float mmVoigtianNormalization=1.0/RooSUSYCompleteBkgPdf::DYNormalization(sigmazmm);
|
| 145 |
|
|
|
| 146 |
buchmann |
1.1 |
|
| 147 |
|
|
float ttbaree=te*TTNormalization*TMath::Power(mll,t1)*TMath::Exp(-t3*mll);
|
| 148 |
|
|
float ttbarmm=tm*TTNormalization*TMath::Power(mll,t1)*TMath::Exp(-t3*mll);
|
| 149 |
|
|
|
| 150 |
buchmann |
1.2 |
float DYee = fzee*eeVoigtianNormalization*RooSUSYCompleteBkgPdf::Voigtian(mll,sigmazee,widthz,meanz);
|
| 151 |
|
|
float DYmm = fzmm*mmVoigtianNormalization*RooSUSYCompleteBkgPdf::Voigtian(mll,sigmazmm,widthz,meanz);
|
| 152 |
buchmann |
1.1 |
|
| 153 |
|
|
float sig_e = GetSignal(s1,sigmazee,s3);
|
| 154 |
|
|
float sig_m = GetSignal(s1,sigmazmm,s3);
|
| 155 |
|
|
|
| 156 |
|
|
float sig = sn * ( (te/(te+tm)) * sig_e + (tm/(te+tm)) * sig_m );
|
| 157 |
|
|
|
| 158 |
buchmann |
1.2 |
if(mll>90&&mll<92) {
|
| 159 |
|
|
// cout << "TTbar normalization : " << TTNormalization << endl;
|
| 160 |
|
|
// cout << "t: " << te << " ; " << tm << " ; " << t1 << " ; " << t2 << " ; " << t3 << " ; " << t4 << endl;
|
| 161 |
|
|
// cout << "dy: " << meanz << " ; " << widthz << " ; " << sigmazee << " ; " << sigmazmm << " ; " << fzee << " ; " << fzmm << endl;
|
| 162 |
|
|
// cout << "s : " << s1 << " ; " << s3 << " ; " << sn << endl;
|
| 163 |
|
|
cout << " CONTRIBUTIONS : (mll=" << mll << endl;
|
| 164 |
buchmann |
1.1 |
cout << " ttbaree : " << ttbaree << endl;
|
| 165 |
|
|
cout << " ttbarmm : " << ttbarmm << endl;
|
| 166 |
|
|
cout << " dy ee : " << DYee << endl;
|
| 167 |
|
|
cout << " dy mm : " << DYmm << endl;
|
| 168 |
|
|
cout << " sig ee : " << sig_e << endl;
|
| 169 |
|
|
cout << " sig mm : " << sig_m << endl;
|
| 170 |
|
|
cout << " -> sig : " << sig << endl;
|
| 171 |
buchmann |
1.2 |
cout << " full : " << ttbaree+ttbarmm+DYee+DYmm+sig << endl;
|
| 172 |
buchmann |
1.1 |
}
|
| 173 |
|
|
|
| 174 |
|
|
return ttbaree+ttbarmm+DYee+DYmm+sig;
|
| 175 |
|
|
}
|
| 176 |
|
|
|
| 177 |
|
|
|
| 178 |
|
|
|
