Rivet analyses
γγ → π0π0 for centre-of-mass energies between 0.6 and 4.1 GeV
Experiment: BELLE (KEKB)
Inspire ID: 815978
Status: VALIDATED
Authors: - Peter Richardson
References: - Phys.Rev.D 79 (2009) 052009, 2009
Beams: 22 22
Beam energies: ANY
Run details: - gamma gamma to hadrons, pi0 must be set stable
Measurement of the differential cross section for γγ → π0π0 for 0.6GeV < 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 kaon scattering angle are measured.
Source
code:BELLE_2009_I815978.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
namespace Rivet {
/// @brief gamma gamma -> pi0 pi0
class BELLE_2009_I815978 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(BELLE_2009_I815978);
/// @name Analysis methods
/// @{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
declare(FinalState(), "FS");
// histos
if (inRange(sqrtS() / GeV, 0.6, 3.3) || inRange(sqrtS() / GeV, 3.6, 4.1)) {
if (sqrtS() > 0.72) book(_sigmapipi[0], "TMP/npipi_1", refData(31, 1, 1));
book(_sigmapipi[1], "TMP/npipi_2", refData(31, 1, 2));
double sMin = 0.6, step = 0.02;
unsigned int ihist = 1, iy = 1;
while (sMin < 4.1) {
if (inRange(sqrtS() / GeV, sMin, sMin + step)) {
break;
}
sMin += step;
iy += 1;
if (iy == 4) {
ihist += 1;
iy = 1;
}
if (fuzzyEquals(1.8, sMin))
step = 0.04;
else if (fuzzyEquals(2.4, sMin))
step = 0.1;
else if (fuzzyEquals(3.2, sMin))
sMin = 3.6;
}
if (!inRange(sqrtS() / GeV, 3.2, 3.6)) book(_h_cTheta, ihist, 1, iy);
}
else {
throw Error("Invalid CMS energy for BELLE_2009_I815978");
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
Particles part = apply<FinalState>(event, "FS").particles();
if (part.size() != 2) vetoEvent;
for (const Particle& p : part) {
if (p.pid() != PID::PI0) vetoEvent;
}
double cTheta = abs(part[0].mom().z() / part[0].mom().p3().mod());
if (cTheta <= 0.6 && _sigmapipi[0]) _sigmapipi[0]->fill(sqrtS());
if (cTheta <= 0.8 && _sigmapipi[1]) _sigmapipi[1]->fill(sqrtS());
if (_h_cTheta) _h_cTheta->fill(cTheta);
}
/// Normalise histograms etc., after the run
void finalize() {
double fact = crossSection() / nanobarn / sumOfWeights();
if (_h_cTheta) scale(_h_cTheta, fact);
for (unsigned int ix = 0; ix < 2; ++ix) {
if (!_sigmapipi[ix]) continue;
scale(_sigmapipi[ix], fact);
Estimate1DPtr tmp;
book(tmp, 31, 1, 1 + ix);
barchart(_sigmapipi[ix], tmp);
}
}
/// @}
/// @name Histograms
/// @{
Histo1DPtr _sigmapipi[2], _h_cTheta;
/// @}
};
RIVET_DECLARE_PLUGIN(BELLE_2009_I815978);
}