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| // -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/UnstableParticles.hh"
namespace Rivet {
/// @brief Add a short analysis description here
class BABAR_2017_I1511276 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(BABAR_2017_I1511276);
/// @name Analysis methods
//@{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
declare(FinalState(), "FS");
declare(UnstableParticles(), "UFS");
book(_nKKpi , "TMP/KKpi");
book(_nPhipi , "TMP/Phipi");
book(_nKKeta , "TMP/KKeta");
book(_nKKpipi, "TMP/KKpipi");
}
void findChildren(const Particle & p,map<long,int> & nRes, int &ncount) {
for(const Particle &child : p.children()) {
if(child.children().empty()) {
nRes[child.pid()]-=1;
--ncount;
}
else
findChildren(child,nRes,ncount);
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
const FinalState& fs = apply<FinalState>(event, "FS");
map<long,int> nCount;
int ntotal(0);
for (const Particle& p : fs.particles()) {
nCount[p.pid()] += 1;
++ntotal;
}
// stable histos
if( ntotal == 3 && nCount[130] == 1 &&
nCount[310] == 1 && nCount[111] == 1)
_nKKpi->fill();
else if( ntotal == 4 && nCount[130] == 1 &&
nCount[310] == 1 && nCount[111] == 2)
_nKKpipi->fill();
// unstable particles
const FinalState& ufs = apply<FinalState>(event, "UFS");
for (const Particle& p : ufs.particles()) {
if(p.children().empty()) continue;
if(p.pid()!=333 && p.pid()!=221) continue;
map<long,int> nRes=nCount;
int ncount = ntotal;
findChildren(p,nRes,ncount);
bool matched = true;
if(p.pid()==333 && ncount==1) {
for(auto const & val : nRes) {
if(val.first==111) {
if(val.second!=1) {
matched = false;
break;
}
}
else if(val.second!=0) {
matched = false;
break;
}
}
if(matched)
_nPhipi->fill();
}
else if(p.pid()==221 && ncount==2) {
for(auto const & val : nRes) {
if(val.first==130 || val.first==310) {
if(val.second!=1) {
matched = false;
break;
}
}
else if(val.second!=0) {
matched = false;
break;
}
}
if(matched)
_nKKeta->fill();
}
}
}
/// Normalise histograms etc., after the run
void finalize() {
for(unsigned int ix=1;ix<5;++ix) {
double sigma = 0., error = 0.;
if(ix==1) {
sigma = _nKKpi->val();
error = _nKKpi->err();
}
else if (ix==2) {
sigma = _nPhipi->val();
error = _nPhipi->err();
}
else if (ix==3) {
sigma = _nKKeta->val();
error = _nKKeta->err();
}
else if (ix==4) {
sigma = _nKKpipi->val();
error = _nKKpipi->err();
}
sigma *= crossSection()/ sumOfWeights() /nanobarn;
error *= crossSection()/ sumOfWeights() /nanobarn;
Scatter2D temphisto(refData(ix, 1, 1));
Scatter2DPtr mult;
book(mult, ix, 1, 1);
for (size_t b = 0; b < temphisto.numPoints(); b++) {
const double x = temphisto.point(b).x();
pair<double,double> ex = temphisto.point(b).xErrs();
pair<double,double> ex2 = ex;
if(ex2.first ==0.) ex2. first=0.0001;
if(ex2.second==0.) ex2.second=0.0001;
if (inRange(sqrtS()/GeV, x-ex2.first, x+ex2.second)) {
mult->addPoint(x, sigma, ex, make_pair(error,error));
}
else {
mult->addPoint(x, 0., ex, make_pair(0.,.0));
}
}
}
}
//@}
/// @name Histograms
//@{
CounterPtr _nKKpi,_nPhipi,_nKKeta,_nKKpipi;
//@}
};
// The hook for the plugin system
RIVET_DECLARE_PLUGIN(BABAR_2017_I1511276);
}
|