Rivet analyses
γγ → π+π− and K+K− for centre-of-mass energies between 2.4 and 4.1 GeV
Experiment: BELLE (KEKB)
Inspire ID: 667712
Status: VALIDATED
Authors: - Peter Richardson
References: - Phys.Lett.B 615 (2005) 39-49
Beams: 22 22
Beam energies: ANY
Run details: - gamma gamma to hadrons
Measurement of the differential cross section for γγ → π+π− and K+K− for 2.4GeV < W < 4.1GeV. Both the cross section as a function of the centre-of-mass energy of the photonic collision, and the differential cross section with respect to the pion scattering angle are measured.
Source
code:BELLE_2005_I667712.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
namespace Rivet {
/// gamma gamma -> pi+pi-/K+ K- for energies between 2.4 and 4.1 GeV
class BELLE_2005_I667712 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(BELLE_2005_I667712);
/// @name Analysis methods
///@{
/// Book histograms and initialise projections before the run
void init() {
// Final state
declare(FinalState(), "FS");
// check CMS energy in range
if (sqrtS() < 2.4 * GeV || sqrtS() > 4.1 * GeV)
throw Error("Invalid CMS energy for BELLE_2005_I667712");
for (unsigned int ix = 0; ix < 7; ++ix) {
std::ostringstream title;
title << "/TMP/nPi_" << ix;
book(_cPi[ix], title.str());
}
for (unsigned int ix = 0; ix < 7; ++ix) {
std::ostringstream title;
title << "/TMP/nK_" << ix;
book(_cK[ix], title.str());
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
Particles part = apply<FinalState>(event, "FS").particles();
if (part.size() != 2) vetoEvent;
if (part[0].pid() != -part[1].pid()) vetoEvent;
double cTheta(0.);
bool foundPi(false), foundK(false);
for (const Particle& p : part) {
if (p.pid() == PID::PIPLUS) {
foundPi = true;
cTheta = abs(p.momentum().z() / p.momentum().p3().mod());
}
else if (p.pid() == PID::KPLUS) {
foundK = true;
cTheta = abs(p.momentum().z() / p.momentum().p3().mod());
}
}
if (!foundPi && !foundK) vetoEvent;
int ibin = cTheta / 0.1;
if (ibin > 5) vetoEvent;
if (foundPi) {
_cPi[0]->fill();
_cPi[ibin + 1]->fill();
}
else if (foundK) {
_cK[0]->fill();
_cK[ibin + 1]->fill();
}
}
/// Normalise histograms etc., after the run
void finalize() {
double fact = crossSection() / nanobarn / sumOfWeights();
for (unsigned int ip = 0; ip < 2; ++ip) {
CounterPtr denom = ip == 0 ? _cPi[0] : _cK[0];
if (denom->numEntries() == 0) continue;
for (unsigned int ih = 0; ih < 7; ++ih) {
CounterPtr numer = ip == 0 ? _cPi[ih] : _cK[ih];
double sigma = numer->val() * fact;
double error = numer->err() * fact;
// bin width for 2d dist
if (ih != 0) {
sigma /= 0.1;
error /= 0.1;
}
unsigned int ix = 5 + ip, iy = ih;
if (ih == 0) {
ix = 1;
iy = ip == 0 ? 2 : 1;
}
// ratio
Estimate0D temp;
Estimate1DPtr cross, ratio;
book(cross, ix, 1, iy);
if (ih != 0) {
book(ratio, ix - 2, 1, iy);
temp = *numer / *denom;
}
for (auto& b : cross->bins()) {
if (inRange(sqrtS(), b.xMin(), b.xMax())) {
b.set(sigma, error);
if (ih != 0) {
ratio->bin(b.index()).set(temp.val() / 0.1, temp.errPos() / 0.1);
}
}
}
}
}
}
///@}
/// @name Histograms
///@{
CounterPtr _cPi[7], _cK[7];
///@}
};
RIVET_DECLARE_PLUGIN(BELLE_2005_I667712);
}