Rivet analyses
γγ → ΛΛ̄0 and Σ0Σ̄0 for $\sqrt{s}=2.35\to3.8\,$GeV
Experiment: BELLE (KEKB)
Inspire ID: 727063
Status: VALIDATED NOHEPDATA
Authors: - Peter Richardson
References: - hep-ex/0609048 [hep-ex]
Beams: 22 22
Beam energies: ANY
Run details: - gamma gamma -> hadrons
γγ → ΛΛ̄0 and Σ0Σ̄0 for $\sqrt{s}=2.35\to3.8\,$GeV’’
Source
code:BELLE_2006_I727063.cc
// -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
#include "Rivet/Projections/UnstableParticles.hh"
namespace Rivet {
/// @brief gamma gamma -> Lambda Lmabdabar, Sigma0 Sigmabar0
class BELLE_2006_I727063 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(BELLE_2006_I727063);
/// @name Analysis methods
/// @{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
declare(FinalState(), "FS");
declare(UnstableParticles(Cuts::abspid == 3122 || Cuts::abspid == 3212), "UFS");
// histograms
for (unsigned int ix = 0; ix < 2; ++ix) {
book(_sigma[ix], "TMP/c_" + toString(ix + 1), refData(1, 1, 1 + ix));
}
}
void findChildren(const Particle& p, map<long, int>& nRes, int& ncount) {
for (const Particle& child : p.children()) {
if (child.children().empty()) {
--nRes[child.pid()];
--ncount;
}
else {
findChildren(child, nRes, ncount);
}
}
}
/// Perform the per-event analysis
void analyze(const Event& event) {
// check the final state
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;
}
const FinalState& ufs = apply<FinalState>(event, "UFS");
Particle Lambda, Lambar;
// loop over baryon
bool matched = false;
for (const Particle& p : ufs.particles()) {
if (p.children().empty() || p.pid() < 0) continue;
map<long, int> nRes = nCount;
int ncount = ntotal;
findChildren(p, nRes, ncount);
// and antibaryons
for (const Particle& p2 : ufs.particles()) {
if (p2.children().empty() || p2.pid() > 0) continue;
map<long, int> nRes2 = nRes;
int ncount2 = ncount;
findChildren(p2, nRes2, ncount2);
if (ncount2 != 0) continue;
matched = 2;
for (const auto& val : nRes2) {
if (val.second != 0) {
matched = false;
break;
}
}
if (matched) {
Lambda = p;
Lambar = p2;
break;
}
}
}
if (!matched) vetoEvent;
if (Lambda.pid() != -Lambar.pid()) vetoEvent;
double cTheta = abs(Lambda.momentum().z() / Lambda.momentum().p3().mod());
if (cTheta > 0.6) vetoEvent;
if (Lambda.pid() == 3122)
_sigma[1]->fill(sqrtS());
else
_sigma[0]->fill(sqrtS());
}
/// Normalise histograms etc., after the run
void finalize() {
double fact = crossSection() / nanobarn / sumOfWeights();
for (unsigned int ix = 0; ix < 2; ++ix) {
scale(_sigma[ix], fact);
Estimate1DPtr tmp;
book(tmp, 1, 1, 1 + ix);
barchart(_sigma[ix], tmp);
}
}
/// @}
/// @name Histograms
/// @{
Histo1DPtr _sigma[2];
/// @}
};
RIVET_DECLARE_PLUGIN(BELLE_2006_I727063);
}