Rivet analyses
Study of hadronic event-shape variables in multijet final states in pp collisions at $\sqrt{s} = 7$ TeV
Experiment: CMS (LHC)
Inspire ID: 1305624
Status: VALIDATED
Authors: - Sunanda Banerjee - Sandeep Bhowmik - Monoranjan Guchait - Gobinda Majumder - Manas Maity < - Debarati Roy
References: - 10.1007/JHEP10(2014)087 - arXiv: 1407.2856 - Expt page: CMS-PAS-SMP-12-022 - CERN-PH-EP-2014-146
Beams: p+ p+
Beam energies: (3500.0, 3500.0)GeV
Run details: - pp QCD interactions at $\sqrt{s} = 7$ TeV. Data collected by CMS during the year 2011.
Event-shape variables, which are sensitive to perturbative and
nonperturbative aspects of quantum chromodynamic (QCD) interactions, are
studied in multijet events recorded in proton-proton collisions at $\sqrt{s}=7$ TeV. Events are selected with at
least one jet with transverse momentum pT > 110 GeV
and pseudorapidity ∣η∣ < 2.4, in a data sample
corresponding to integrated luminosities of up to 5fb−1. The
distributions of five event-shape variables in various leading jet pT ranges are
compared to predictions from different QCD Monte Carlo event generators.
Five event-shape variables are analyzed in this paper: the transverse
thrust τ⟂, the
total jet broadening Btot,
the total jet mass ρtot,
the total transverse jet mass ρtotT
and the third-jet resolution parameter Y23. In the formulae
below, pT, i,
ηi, and
ϕi
represent the transverse momentum, pseudorapidity, and azimuthal angle
of the ith jet, and n̂T is the unit
vector that maximizes the sum of the projections of p⃗T, i.
The transverse thrust axis n̂T and the beam
form the so-called event plane. Based on the direction of n̂T, the
transverse region is separated into an upper side $\cal{C}_U$, consisting of all jets with
p⃗T ⋅ n̂T
> 0, and a lower side $\cal{C}_L$, with p⃗T ⋅ n̂T
< 0. The jet broadening and
third-jet resolution variables require at least three jets, whereas the
calculation of other variables requires at least two jets. The n̂T vector is
defined only up to a global sign - choosing one sign or the other has no
consequence since it simply exchanges the upper and lower events
regions. Transverse Thrust : The event thrust observable in the
transverse plane is defined as This variable probes the hadronization
process and is sensitive to the modeling of two-jet and multijet
topologies. In this paper
multijet' refers tomore-than-two-jet’. In the limit of a
perfectly balanced two-jet event, τ⟂ is zero, while in
isotropic multijet events it amounts to (1 − 2/π). Jet Broadenings : The
pseudorapidities and the azimuthal angles of the axes for the upper and
lower event regions are defined by where X refers to upper (U) or lower (L) side. From these, the jet
broadening variable in each region is defined as where PT is the scalar
sum of the transverse momenta of all the jets. The total jet broadening
is then defined as Jet Masses : The normalized squared invariant mass of
the jets in the upper and lower regions of the event is defined by where
MX is the
invariant mass of the constituents of the jets in the region X, and P is the scalar sum of the momenta
of all constituents in both sides. The jet mass variable is defined as
the sum of the masses in the upper and lower regions, The corresponding
jet mass in the transverse plane, ρtotT,
is also similarly calculated in transverse plane. Third-jet resolution
parameter : The third-jet resolution parameter is defined as where i, j
run over all three jets, (ΔRij)2 = (ηi − ηj)2 + (ϕi − ϕj)2,
and pT, 3
is the transverse momentum of the third jet in the event. If there are
more than three jets in the event, they are iteratively merged using the
kT
algorithm with a distance parameter R = 0.6. To compute P12, three jets are
merged into two using the procedure described above and P12 is then defined as
the scalar sum of the transverse momenta of the two remaining jets. The
Y23 variable
estimates the relative strength of the pT of the third
jet with respect to the other two jets. It vanishes for two-jet events,
and a nonzero value of Y23 indicates the
presence of hard parton emission, which tests the parton showering model
of QCD event generators. A test like this is less sensitive to the
details of the underlying event (UE) and parton hadronization models
than the other event-shape variables.
Source
code:CMS_2014_I1305624.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/FastJets.hh"
namespace Rivet {
namespace {
/// Number of event shape variables
/// @todo Move into the EventShape class
const int NEVTVAR = 5;
/// Number of leading jet pT thresholds
/// @todo Move into the analysis class
const int NJETPTMN = 5;
/// Leading jet pT thresholds
/// @todo Move into the analysis class
const double LEADINGPTTHRESHOLD[NJETPTMN] = { 110.0, 170.0, 250.0, 320.0, 390.0 };
// Helpers for event shape calculations in hidden namespace; implementation at bottom of file
/// @todo Why a class? Improve/remove this junk
class EventShape {
public:
/// Constructor from vectors of four-vectors as input objects in the event to calculate the event shapes
EventShape(const vector<double>& px_vector, const vector<double>& py_vector, const vector<double>& pz_vector,
const vector<double>& e_vector, double eta_central, int irap, int nmn)
: _object_px(px_vector), _object_py(py_vector), _object_pz(pz_vector),
_object_e(e_vector), _eta_c(eta_central), _irap(irap), _nmnjet(nmn)
{ }
/// @brief Returns the values of the five event shapes
///
/// Event shape indices:
/// 0. central transverse thrust
/// 1. central total jet broadening
/// 2. central total jet mass
/// 3. central total transverse jet mass
/// 4. central three-jet resolution threshold
vector<double> getEventShapes() {
_calculate(); ///< @todo There should be some test for success/failure!!
return _event_shapes;
}
/// Returns the global thrust axis Nx, Ny, Nz=0
vector<double> getThrustAxis() {
_calculate(); ///< @todo There should be some test for success/failure!!
return _thrust_axis;
}
/// Returns the central thrust axis Nx, Ny, Nz=0
vector<double> getThrustAxisC() {
_calculate(); ///< @todo There should be some test for success/failure!!
return _thrust_axis_c;
}
// /// @brief Choice of the central region
// void setEtaC(double eta_central) { _eta_c = eta_central; }
// // Whether to use the rapidity y (rap==1) or the pseudorapidity eta (rap==0)
// void setRapType(int irap) { _irap = irap; }
private:
/// Calculate everything
int _calculate();
/// Returns the difference in phi between two vectors
double _delta_phi(double, double);
/// The Lorentz scalar product
double _lorentz_sp(const vector<double>&, const vector<double>&);
// Calculates the three-jet resolutions
double _three_jet_res(const vector<double>&, const vector<double>&, const vector<double>&, const vector<double>&, int);
// Calculates the thrust axis and the tau values
vector<double> _thrust(const vector<double>&, const vector<double>&);
vector<double> _object_px, _object_py, _object_pz, _object_p;
vector<double> _object_pt, _object_e, _object_phi, _object_eta;
vector<double> _event_shapes;
vector<double> _thrust_axis, _thrust_axis_c;
double _eta_c;
int _irap;
size_t _nmnjet;
};
}
class CMS_2014_I1305624 : public Analysis {
public:
/// Constructor
CMS_2014_I1305624()
: Analysis("CMS_2014_I1305624")
{ }
/// @name Analysis methods
/// Book histograms and initialise projections before the run
void init() {
const FastJets jets(FinalState(Cuts::abseta < 2.6), JetAlg::ANTIKT, 0.5);
declare(jets, "Jets");
for (int ij=0; ij < NJETPTMN; ij++) {
book(_h_thrustc[ij] ,1, 1, ij+1);
book(_h_broadt[ij] ,1, 2, ij+1);
book(_h_tot3dmass[ij] ,1, 3, ij+1);
book(_h_tottrnsmass[ij] ,1, 4, ij+1);
book(_h_y23c[ij] ,1, 5, ij+1);
//
}
_needBinInit = true;
}
/// Perform the per-event analysis
void analyze(const Event& event) {
if (_needBinInit) {
for (int ij=0; ij < NJETPTMN; ij++) {
_alow1[ij] = _h_thrustc[ij]->xMin();
_alow2[ij] = _h_broadt[ij]->xMin();
_alow3[ij] = _h_tot3dmass[ij]->xMin();
_alow4[ij] = _h_tottrnsmass[ij]->xMin();
_alow5[ij] = _h_y23c[ij]->xMin();
//
_ahgh1[ij] = _h_thrustc[ij]->xMax();
_ahgh2[ij] = _h_broadt[ij]->xMax();
_ahgh3[ij] = _h_tot3dmass[ij]->xMax();
_ahgh4[ij] = _h_tottrnsmass[ij]->xMax();
_ahgh5[ij] = _h_y23c[ij]->xMax();
_needBinInit = false;
}
}
const Jets& jets = apply<FastJets>(event, "Jets").jetsByPt(Cuts::pT > 30*GeV);
if (jets.size() < 2) vetoEvent;
if (jets[0].abseta() > 2.4 || jets[1].abseta() > 2.4) vetoEvent;
const double leadingpt = jets[0].pT();
if (leadingpt < 110*GeV) vetoEvent;
vector<double> jtpx, jtpy, jtpz, jten;
for (const Jet& j : jets) {
if (j.abseta() < 2.4) {
jtpx.push_back(j.px());
jtpy.push_back(j.py());
jtpz.push_back(j.pz());
jten.push_back(j.E());
}
}
EventShape eventshape(jtpx, jtpy, jtpz, jten, 2.4, 0, 2);
const vector<double> eventvar = eventshape.getEventShapes();
if (eventvar[NEVTVAR] < 0) vetoEvent; // Jets are not only one hemisphere
for (int ij = NJETPTMN-1; ij >= 0; --ij) {
if (leadingpt/GeV > LEADINGPTTHRESHOLD[ij]) {
if (inRange(eventvar[0], _alow1[ij], _ahgh1[ij])) _h_thrustc[ij]->fill(eventvar[0]);
if (inRange(eventvar[2], _alow3[ij], _ahgh3[ij])) _h_tot3dmass[ij]->fill(eventvar[2]);
if (inRange(eventvar[3], _alow4[ij], _ahgh4[ij])) _h_tottrnsmass[ij]->fill(eventvar[3]);
if (eventvar[NEVTVAR] >= 3) {
if (inRange(eventvar[1], _alow2[ij], _ahgh2[ij])) _h_broadt[ij]->fill(eventvar[1]);
if (inRange(eventvar[4], _alow5[ij], _ahgh5[ij])) _h_y23c[ij]->fill(eventvar[4]);
}
break;
}
}
}
/// Normalise histograms etc., after the run
void finalize() {
for (int ij = 0; ij < NJETPTMN; ij++) {
normalize(_h_thrustc[ij]);
normalize(_h_broadt[ij]);
normalize(_h_tot3dmass[ij]);
normalize(_h_tottrnsmass[ij]);
normalize(_h_y23c[ij]);
}
}
private:
/// @name Histograms
/// @{
Histo1DPtr _h_thrustc[NJETPTMN];
Histo1DPtr _h_broadt[NJETPTMN];
Histo1DPtr _h_tot3dmass[NJETPTMN];
Histo1DPtr _h_tottrnsmass[NJETPTMN];
Histo1DPtr _h_y23c[NJETPTMN];
/// @}
// Data members
bool _needBinInit;
double _alow1[NJETPTMN], _alow2[NJETPTMN], _alow3[NJETPTMN], _alow4[NJETPTMN], _alow5[NJETPTMN];
double _ahgh1[NJETPTMN], _ahgh2[NJETPTMN], _ahgh3[NJETPTMN], _ahgh4[NJETPTMN], _ahgh5[NJETPTMN];
};
RIVET_DECLARE_PLUGIN(CMS_2014_I1305624);
/////////////////////
namespace {
// EventShape helper class method implementations:
int EventShape::_calculate() {
if (!_event_shapes.empty() && !_thrust_axis.empty() && !_thrust_axis_c.empty())
return 1; //< return success if this appears to already have been run
const size_t length = (size_t) _object_px.size();
if (((size_t) _object_py.size() != length) ||
((size_t) _object_pz.size() != length) ||
((size_t) _object_e.size() != length)) {
/// @todo Change to exception or assert
// cout << "ERROR!!!! Input vectors differ in size! Change that please!" << '\n';
// cout<<"py_size: "<<_object_py.size()<<" ,pz_size: "<<_object_pz.size()
// <<" ,px_size: "<<_object_px.size()<<" ,E_size: "<<_object_e.size()<<'\n';
return 0;
}
if (!_object_p.empty()) {
_object_p.clear();
_object_pt.clear();
_object_eta.clear();
_object_phi.clear();
_event_shapes.clear();
_thrust_axis.clear();
_thrust_axis_c.clear();
}
for (size_t j = 0; j < length; j++) {
_object_p.push_back(0.);
_object_pt.push_back(0.);
_object_eta.push_back(0.);
_object_phi.push_back(0.);
}
for (int j = 0; j < NEVTVAR; j++) {
_event_shapes.push_back(-50.);
}
_event_shapes.push_back(double(_object_px.size())); //< WTF?
for (size_t j = 0; j < 3; j++) {
_thrust_axis.push_back(0.);
_thrust_axis_c.push_back(0.);
}
double theta = 0;
for (size_t k = 0; k < length; k++) {
_object_p[k] = sqrt(pow(_object_px[k],2) + pow(_object_py[k],2) + pow(_object_pz[k],2));
_object_pt[k] = sqrt(pow(_object_px[k],2) + pow(_object_py[k],2));
if (_object_p[k] > _object_e[k] + 1e-4) {
/// @todo Change to exception or assert
// cout << "ERROR!!! object " << k <<" has P = " << _object_p[k]
// << " which is bigger than E = " << _object_e[k] <<" "
// << _object_px[k] <<" "<< _object_py[k] <<" "
// << _object_pz[k] <<" of total length "<< length
// << '\n';
return 0;
}
//to prevent a division by zero
if (_irap == 0) {
if (fabs(_object_pz[k]) > 1e-5) {
theta = atan(_object_pt[k]/(_object_pz[k]));
} else {
theta = M_PI/2;
}
if (theta < 0.) theta = theta + M_PI;
_object_eta[k] = -log(tan(0.5*theta));
}
if (_irap == 1) {
if (_object_pz[k] == _object_e[k]) {
/// @todo Change to exception
// cout << "ERROR!!! object "<<k<<" has Pz "<< _object_pz[k] <<" which is equal to E = "<< _object_e[k] <<'\n';
return 0;
}
_object_eta[k]=0.5*log((_object_e[k]+_object_pz[k])/(_object_e[k]-_object_pz[k]));
}
if (_irap != 0 && _irap != 1) {
/// @todo Change to exception
// cout << "ERROR!!!, The choice to use the rapidity y or the pseudorapidity eta is not set correctly! Change that please!" << '\n';
return 0;
}
_object_phi[k] = atan2(_object_py[k], _object_px[k]);
}
vector<double> object_px_in, object_py_in, object_pz_in, object_pt_in, object_e_in, object_et_in, object_eta_in;
vector<double> object_px_out, object_py_out, object_pz_out, object_e_out, object_pt_out, object_eta_out;
if (!object_px_in.empty()) { //< FFS, this is impossible: it's only just been created!
object_px_in.clear();
object_py_in.clear();
object_pz_in.clear();
object_pt_in.clear();
object_e_in.clear();
object_et_in.clear();
object_eta_in.clear();
object_px_out.clear();
object_py_out.clear();
object_pz_out.clear();
object_pt_out.clear();
object_e_out.clear();
object_eta_out.clear();
}
size_t nin = 0;
for (size_t j = 0; j < length; j++) {
if (fabs(_object_eta[j]) < _eta_c) {
object_px_in.push_back(_object_px[j]);
object_py_in.push_back(_object_py[j]);
object_pz_in.push_back(_object_pz[j]);
object_e_in.push_back(_object_e[j]);
object_pt_in.push_back(sqrt(pow(_object_px[j],2)+pow(_object_py[j],2)));
object_et_in.push_back(sqrt((pow(_object_e[j],2)*pow(_object_pt[j],2))/(pow(_object_pt[j],2)+pow(_object_pz[j],2))));
object_eta_in.push_back(_object_eta[j]);
nin += 1;
} else {
object_px_out.push_back(_object_px[j]);
object_py_out.push_back(_object_py[j]);
object_pz_out.push_back(_object_pz[j]);
object_e_out.push_back(_object_e[j]);
object_pt_out.push_back(sqrt(pow(_object_px[j],2)+pow(_object_py[j],2)));
object_eta_out.push_back(_object_eta[j]);
}
}
if (object_px_in.size() != nin) {
/// @todo Change to exception or assert
cout << "ERROR!!! wrong dimension of 'in' momenta" << endl;
//return 0; ///< @todo Why not do this?
}
// const size_t nout = length - nin;
if (nin < _nmnjet) {
for (int i = 0; i < NEVTVAR; i++) {
_event_shapes[i] = -50.0;
}
}
_event_shapes[NEVTVAR] = nin;
if (nin >= _nmnjet) {
double p_sum_c = 0; //GMA
double pt_sum_c = 0;
// double eta_cw = 0;
// double px_sum_in = 0;
// double py_sum_in = 0;
for (size_t j = 0; j < nin; j++) {
pt_sum_c += object_pt_in[j];
p_sum_c += sqrt(pow(object_pt_in[j],2.) + pow(object_pz_in[j], 2.0)); //GMA
// eta_cw += object_pt_in[j]*object_eta_in[j];
// px_sum_in += object_px_in[j];
// py_sum_in += object_py_in[j];
}
// eta_cw /= pt_sum_c;
// double expTerm = 0;
// for (size_t j = 0; j < nout; j++) {
// expTerm += object_pt_out[j] * exp(-fabs(object_eta_out[j]-eta_cw));
// }
// expTerm /= pt_sum_c;
//the central global transverse thrust centrthr is calculated
double centrthr = 0;
vector<double> thrust_central = _thrust(object_px_in, object_py_in);
for (size_t l=0; l<3; l++) _thrust_axis_c[l] = thrust_central[l];
//the variable which gets resummed is not thrust
//but tau = 1 - thrust - see calculation
centrthr = thrust_central[3];
_event_shapes[0] = centrthr;
double alpha_c = atan2(_thrust_axis_c[1], _thrust_axis_c[0]);
//central jet masses
//define two jet masses in region U and D
double cenjm_up = 0;
double cenjm_down= 0;
double dot_product = 0;
vector<double> up_sum;
vector<double> down_sum;
for (size_t j=0; j<4;j++) {
up_sum.push_back(0.);
down_sum.push_back(0.);
}
for (size_t i=0;i<nin;i++) {
dot_product = object_px_in[i] * _thrust_axis_c[0] + object_py_in[i] * _thrust_axis_c[1];
if (dot_product >= 0) {
up_sum[0]+=object_px_in[i];
up_sum[1]+=object_py_in[i];
up_sum[2]+=object_pz_in[i];
up_sum[3]+=object_e_in[i];
} else {
down_sum[0]+=object_px_in[i];
down_sum[1]+=object_py_in[i];
down_sum[2]+=object_pz_in[i];
down_sum[3]+=object_e_in[i];
}
}
cenjm_up = _lorentz_sp(up_sum, up_sum) / pow(p_sum_c, 2.); //GMA pow(pt_sum_c,2);
cenjm_down = _lorentz_sp(down_sum, down_sum) / pow(p_sum_c, 2.); //GMA pow(pt_sum_c,2);
//central total jet mass centotjm
double centotjm=0;
centotjm = cenjm_up + cenjm_down;
_event_shapes[2]=centotjm;
double centrjm_up=0, centrjm_down=0;
vector<double> upsum;
vector<double> downsum;
for (size_t j = 0; j < 3; j++) {
upsum.push_back(0.);
downsum.push_back(0.);
}
for (size_t i = 0; i < nin; i++) {
dot_product = object_px_in[i]*_thrust_axis_c[0]+object_py_in[i]*_thrust_axis_c[1];
if (dot_product >= 0) {
upsum[0] += object_px_in[i];
upsum[1] += object_py_in[i];
upsum[2] += object_et_in[i];
} else {
downsum[0] += object_px_in[i];
downsum[1] += object_py_in[i];
downsum[2] += object_et_in[i];
}
}
centrjm_up = _lorentz_sp(upsum, upsum) / pow(pt_sum_c, 2);
centrjm_down = _lorentz_sp(downsum, downsum) / pow(pt_sum_c, 2);
double centottrjm = centrjm_up + centrjm_down;
_event_shapes[3] = centottrjm;
//central three-jet resolution threshold
double ceny3=0;
if (nin < 3) {
ceny3 = -1.0;
} else {
ceny3 = _three_jet_res(object_px_in, object_py_in, object_pz_in, object_e_in, _irap);
}
_event_shapes[4] = ceny3;
//the central jet broadenings in the up and down region
double cenbroad_up=0;
double cenbroad_down=0;
double eta_up=0;
size_t num_up=0;
double eta_down =0;
size_t num_down =0;
double phi_temp =0;
double phi_up_aver =0;
double phi_down_aver =0;
double pt_sum_up =0;
double pt_sum_down =0;
double dot_product_b =0;
vector<double> phi_up;
vector<double> phi_down;
double py_rot =0;
double px_rot =0;
for (size_t j = 0; j < 4; j++) {
up_sum.push_back(0.);
down_sum.push_back(0.);
}
for (size_t i=0;i<nin;i++) {
dot_product_b =sqrt(object_px_in[i]*_thrust_axis_c[0] + object_py_in[i]*_thrust_axis_c[1]);
if (dot_product_b>=0){
pt_sum_up += object_pt_in[i];
//rotate the coordinate system so that
//the central thrust axis is e_x
px_rot = cos(alpha_c)*object_px_in[i]+sin(alpha_c)*object_py_in[i];
py_rot = - sin(alpha_c)*object_px_in[i]+cos(alpha_c)*object_py_in[i];
//calculate the eta and phi in the rotated system
eta_up += object_pt_in[i]*object_eta_in[i];
phi_temp = atan2(py_rot,px_rot);
if(phi_temp > M_PI/2){
phi_temp = phi_temp - M_PI/2;
}
if (phi_temp < -M_PI/2){
phi_temp = phi_temp + M_PI/2;
}
phi_up.push_back(phi_temp);
phi_up_aver += object_pt_in[i]*phi_temp;
num_up += 1;
} else {
eta_down += object_pt_in[i]*object_eta_in[i];
pt_sum_down += object_pt_in[i];
px_rot = cos(alpha_c)*object_px_in[i]+sin(alpha_c)*object_py_in[i];
py_rot = - sin(alpha_c)*object_px_in[i]+cos(alpha_c)*object_py_in[i];
phi_temp = atan2(py_rot,px_rot);
if (phi_temp > M_PI/2) {
//if phi is bigger than pi/2 in the new system calculate
//the difference to the thrust axis
phi_temp = M_PI -phi_temp;
}
if (phi_temp<-M_PI/2) {
//if phi is smaller than
phi_temp = -M_PI-phi_temp;
}
phi_down.push_back(phi_temp);
//calculate the pt-weighted phi
phi_down_aver += object_pt_in[i]*phi_temp;
num_down += 1;
}
}
if (num_up!=0){
eta_up = eta_up/pt_sum_up;
phi_up_aver = phi_up_aver/pt_sum_up;
}
if (num_down!=0) {
eta_down = eta_down/pt_sum_down;
phi_down_aver = phi_down_aver/pt_sum_down;
}
size_t index_up=0, index_down=0;
for (size_t i = 0; i < nin; i++) {
dot_product_b = object_px_in[i]*_thrust_axis_c[0] + object_py_in[i]*_thrust_axis_c[1];
if (dot_product_b >= 0) {
//calculate the broadenings of the regions with the rotated system
//and the pt-weighted average of phi in the rotated system
cenbroad_up += object_pt_in[i]*sqrt(pow(object_eta_in[i]-eta_up, 2) +
pow(_delta_phi(phi_up[index_up], phi_up_aver), 2));
index_up += 1;
} else {
cenbroad_down += object_pt_in[i]*sqrt(pow(object_eta_in[i]-eta_down, 2)+
pow(_delta_phi(phi_down[index_down], phi_down_aver), 2));
index_down += 1;
}
}
if (index_up == 0 || index_down ==0) _event_shapes[NEVTVAR] *= -1;
cenbroad_up=cenbroad_up/(2*pt_sum_c);
cenbroad_down=cenbroad_down/(2*pt_sum_c);
//central total jet broadening
double centotbroad = 0;
centotbroad = cenbroad_up + cenbroad_down;
_event_shapes[1] = centotbroad;
for (int ij = 0; ij < 5; ij++) {
if (_event_shapes[ij] < 1.e-20) _event_shapes[ij] = 1.e-20;
_event_shapes[ij] = log(_event_shapes[ij]);
}
}
return 1;
}
double EventShape::_three_jet_res(const vector<double>& in_object_px, const vector<double>& in_object_py, const vector<double>& in_object_pz, const vector<double>& in_object_e, int irap) {
size_t y3_length = (size_t)in_object_px.size();
if (((size_t) in_object_py.size()!=y3_length) ||
((size_t) in_object_pz.size()!=y3_length) ||
(in_object_e.size()!=y3_length)) {
return 0.0;
}
vector<double> in_object_p, in_object_pt, in_object_eta, in_object_phi;
if (!in_object_p.empty()) {
in_object_p.clear();
in_object_pt.clear();
in_object_eta.clear();
in_object_phi.clear();
}
for (size_t j = 0; j < y3_length; j++) {
in_object_p.push_back(0.);
in_object_pt.push_back(0.);
in_object_eta.push_back(0.);
in_object_phi.push_back(0.);
}
double theta_y3_1st = 0;
for (size_t k =0; k<y3_length; k++) {
in_object_p[k] = sqrt(pow(in_object_px[k],2) + pow(in_object_py[k],2) + pow(in_object_pz[k],2));
in_object_pt[k] = sqrt(pow(in_object_px[k],2) + pow(in_object_py[k],2));
//calculates the pseudorapidity to prevent a division by zero
if (irap == 0) {
if (fabs(in_object_pz[k]) > 1E-5) {
theta_y3_1st = atan(in_object_pt[k]/(in_object_pz[k]));
} else {
theta_y3_1st = M_PI/2;
}
if (theta_y3_1st<0.) theta_y3_1st = theta_y3_1st + M_PI;
in_object_eta[k] = - log(tan(0.5*theta_y3_1st));
}
//calculates the real rapidity
if (irap == 1) {
in_object_eta[k]=0.5*log((in_object_e[k]+in_object_pz[k])/(in_object_e[k]-in_object_pz[k]));
}
in_object_phi[k] = atan2(in_object_py[k], in_object_px[k]);
}
//the three-jet resolution
//threshold y3
double y3 = 0;
//vector which will be filled with the
//minimum of the distances
double max_dmin_temp=0;
double max_dmin = 0;
//distance input object k, beam
double distance_jB = 0;
double distance_jB_min = 0;
//distance of input object k to l
double distance_jk = 0;
double distance_jk_min = 0;
//as we search the minimum of the distances
//give them values which are for sure higher
//than those we evaluate first in the for-loups
size_t index_jB = 0;
size_t index_j_jk = 0;
size_t index_k_jk = 0;
//to decide later if the minmum is a jB or jk
int decide_jB = -1;
vector<double> input_pt, input_px, input_py, input_pz;
vector<double> input_p, input_e, input_phi, input_eta;
if (!input_pt.empty()) {
input_pt.clear();
input_px.clear();
input_px.clear();
input_pz.clear();
input_p.clear();
input_e.clear();
input_phi.clear();
input_eta.clear();
}
for (size_t j = 0; j < y3_length; j++){
input_pt.push_back(in_object_pt[j]);
input_px.push_back(in_object_px[j]);
input_py.push_back(in_object_py[j]);
input_pz.push_back(in_object_pz[j]);
input_p.push_back(in_object_p[j]);
input_e.push_back(in_object_e[j]);
input_phi.push_back(in_object_phi[j]);
input_eta.push_back(in_object_eta[j]);
}
if (y3_length<3) {
return -1;
} else {
size_t rest = y3_length;
for (size_t i = 0; i<y3_length; i++) {
//make the minima at the initialization step
//of each looping bigger than the first values
distance_jB_min = 0.36*pow(input_pt[0],2) + 10;
//DELTA PHIs wanted not the pure difference
distance_jk_min = min(pow(input_pt[1], 2), pow(input_pt[0], 2)) *
(pow(input_eta[1]-input_eta[0], 2) +
pow(_delta_phi(input_phi[1], input_phi[0]), 2)) + 10;
//do the procedure only until we have only 2 objects left anymore
if (rest > 2) {
for (size_t j=0; j<rest;j++) {
//calculate the distance between object j and the beam
distance_jB = 0.36*pow(input_pt[j], 2);
if(distance_jB < distance_jB_min){
distance_jB_min = distance_jB;
index_jB = j;
}
if (j > 0) {
for(size_t k=0; k<j;k++){
//calculate the distance in delta eta and delta phi between object i and object j
distance_jk = min(pow(input_pt[j], 2),pow(input_pt[k], 2))*
(pow(input_eta[j]-input_eta[k], 2)+
pow(_delta_phi(input_phi[j],input_phi[k]), 2));
if (distance_jk<distance_jk_min) {
distance_jk_min = distance_jk;
index_j_jk = j;
index_k_jk =k;
}
}
}
}
//decide if the minimum is from a jB or jk combination
if (distance_jk_min<distance_jB_min) {
max_dmin_temp = max(distance_jk_min,max_dmin_temp);
decide_jB = 0;
} else {
max_dmin_temp = max(distance_jB_min,max_dmin_temp);
decide_jB=1;
}
//if we have only three jets left calculate
//the maxima of the dmin's
//if the minimum is a jB eliminate the input object
if (decide_jB == 1) {
//if index_jB is the last one nothing is to do
if (index_jB != rest-1) {
for (size_t i=index_jB; i<rest-1;i++) {
input_pt[i]=input_pt[i+1];
input_phi[i]=input_phi[i+1];
input_eta[i]=input_eta[i+1];
input_px[i]=input_px[i+1];
input_py[i]=input_py[i+1];
input_pz[i]=input_pz[i+1];
input_e[i]=input_e[i+1];
}
}
}
//if the minimum is a jk combine both input objects
if(decide_jB==0) {
input_px[index_k_jk] = input_px[index_k_jk]+input_px[index_j_jk];
input_py[index_k_jk] = input_py[index_k_jk]+input_py[index_j_jk];
input_pz[index_k_jk] = input_pz[index_k_jk]+input_pz[index_j_jk];
input_e[index_k_jk] = input_e[index_k_jk]+input_e[index_j_jk];
input_p[index_k_jk] = sqrt(pow(input_px[index_k_jk], 2)+
pow(input_py[index_k_jk], 2)+
pow(input_pz[index_k_jk], 2));
//calculate the pt, eta and phi of the new combined momenta k_jk
input_pt[index_k_jk] = sqrt(pow(input_px[index_k_jk], 2)+
pow(input_py[index_k_jk], 2));
//in the case of pseudorapidity
if (irap == 0) {
double theta_new =0;
if (fabs(input_pz[index_k_jk]) > 1E-5){
theta_new = atan(input_pt[index_k_jk]/(input_pz[index_k_jk]));
} else {
theta_new = M_PI/2;
}
if (theta_new < 0) {
theta_new = theta_new + M_PI;
}
input_eta[index_k_jk] = - log(tan(0.5*theta_new));
}
//in the real rapidity y is wanted
if (irap == 1) {
input_eta[index_k_jk] = 0.5 * log((input_e[index_k_jk]+
input_pz[index_k_jk]) /
(input_e[index_k_jk] -
input_pz[index_k_jk]));
}
input_phi[index_k_jk] = atan2(input_py[index_k_jk], input_px[index_k_jk]);
if (index_j_jk != rest-1) {
for (size_t i = index_j_jk; i<rest-1;i++) {
input_pt[i] = input_pt[i+1];
input_phi[i] = input_phi[i+1];
input_eta[i] = input_eta[i+1];
input_px[i] = input_px[i+1];
input_py[i] = input_py[i+1];
input_pz[i] = input_pz[i+1];
input_e[i] = input_e[i+1];
}
}
}
}
if (rest == 3) max_dmin = max_dmin_temp;
rest = rest-1;
}
}
double et2 = 0;
et2 = input_pt[0] + input_pt[1];
y3 = max_dmin/pow(et2,2);
return y3;
}
vector<double> EventShape::_thrust(const vector<double>& input_px, const vector<double>& input_py) {
double thrustmax_calc = 0;
double temp_calc = 0;
size_t length_thrust_calc = 0;
vector<double> thrust_values, thrust_axis_calc;
vector<double> p_thrust_max_calc, p_dec_1_calc, p_dec_2_calc, p_pt_beam_calc;
if (!thrust_values.empty()){
thrust_values.clear();
thrust_axis_calc.clear();
p_thrust_max_calc.clear();
p_dec_1_calc.clear();
p_dec_2_calc.clear();
p_pt_beam_calc.clear();
}
for (size_t j = 0; j < 3; j++){
p_pt_beam_calc.push_back(0.);
p_dec_1_calc.push_back(0.);
p_dec_2_calc.push_back(0.);
p_thrust_max_calc.push_back(0.);
thrust_axis_calc.push_back(0.);
}
for (size_t j = 0; j < 4; j++) {
thrust_values.push_back(0.);
}
length_thrust_calc = input_px.size();
if (input_py.size() != length_thrust_calc) {
/// @todo Change to exception or assert
cout << "ERROR in thrust calculation!!! Size of input vectors differs. Change that please!" << endl;
return thrust_values;
}
double pt_sum_calc =0;
for(size_t k=0;k<length_thrust_calc;k++){
pt_sum_calc+=sqrt(pow(input_px[k],2)+pow(input_py[k],2));
for(size_t j = 0; j < 3; j++){
p_thrust_max_calc[j]=0;
}
//get a vector perpendicular to the beam axis and
//perpendicular to the momentum of particle k
//per default beam axis b = (0,0,1)
p_pt_beam_calc[0] = input_py[k]*1;
p_pt_beam_calc[1] = - input_px[k]*1;
p_pt_beam_calc[2] = 0.; // GMA p_pt_beam_calc[3] = 0.;
for(size_t i=0;i<length_thrust_calc;i++){
if(i!=k){
if((input_px[i]*p_pt_beam_calc[0]+input_py[i]*p_pt_beam_calc[1])>=0){
p_thrust_max_calc[0]= p_thrust_max_calc[0] + input_px[i];
p_thrust_max_calc[1]= p_thrust_max_calc[1] + input_py[i];
}else{
p_thrust_max_calc[0]= p_thrust_max_calc[0] - input_px[i];
p_thrust_max_calc[1]= p_thrust_max_calc[1] - input_py[i];
}
}
}
p_dec_1_calc[0] = p_thrust_max_calc[0] + input_px[k];
p_dec_1_calc[1] = p_thrust_max_calc[1] + input_py[k];
p_dec_1_calc[2] = 0;
p_dec_2_calc[0] = p_thrust_max_calc[0] - input_px[k];
p_dec_2_calc[1] = p_thrust_max_calc[1] - input_py[k];
p_dec_2_calc[2] = 0;
temp_calc = pow(p_dec_1_calc[0], 2) + pow(p_dec_1_calc[1], 2);
if (temp_calc>thrustmax_calc) {
thrustmax_calc =temp_calc;
for (size_t i=0; i<3; i++) {
thrust_axis_calc[i] = p_dec_1_calc[i]/sqrt(thrustmax_calc);
}
}
temp_calc = pow(p_dec_2_calc[0], 2)+pow(p_dec_2_calc[1], 2);
if (temp_calc > thrustmax_calc) {
thrustmax_calc =temp_calc;
for (size_t i=0; i<3; i++) {
thrust_axis_calc[i] = p_dec_2_calc[i]/sqrt(thrustmax_calc);
}
}
}
for (size_t j = 0; j < 3; j++) thrust_values[j] = thrust_axis_calc[j];
const double thrust_calc = sqrt(thrustmax_calc)/pt_sum_calc;
// the variable which gets returned is not the thrust but tau=1-thrust
thrust_values[3] = 1 - thrust_calc;
if (thrust_values[3] < 1e-20) thrust_values[3] = 1e-20;
return thrust_values;
}
double EventShape::_delta_phi(double phi1, double phi2) {
double dphi = fabs(phi2 - phi1);
if (dphi > M_PI) dphi = 2*M_PI - dphi;
return dphi;
}
// Returns the scalar product between two 4 momenta
double EventShape::_lorentz_sp(const vector<double>& a, const vector<double>& b) {
size_t dim = (size_t) a.size();
if (a.size()!=b.size()) {
cout << "ERROR!!! Dimension of input vectors are different! Change that please!" << endl;
return 0;
} else {
double l_dot_product=a[dim-1]*b[dim-1];
for(size_t i=0; i<dim-1;i++){
l_dot_product-=a[i]*b[i];
}
return l_dot_product;
}
}
}
}