Rivet analyses referenceBELLE_2013_I1245023$\gamma\gamma\to K^0_SK^0_S$ for centre-of-mass energies between 1.05 and 4.0 GeVExperiment: BELLE (KEKB) Inspire ID: 1245023 Status: VALIDATED Authors:
Beam energies: ANY Run details:
Measurement of the differential cross section for $\gamma\gamma\to K^0_SK^0_S$ for $1.05 \text{GeV} < W < 4.0 \text{GeV}$. 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_2013_I1245023.cc 1// -*- C++ -*-
2#include "Rivet/Analysis.hh"
3#include "Rivet/Projections/FinalState.hh"
4
5namespace Rivet {
6
7
8 /// @brief gamma gamma -> K0S K0S
9 class BELLE_2013_I1245023 : public Analysis {
10 public:
11
12 /// Constructor
13 RIVET_DEFAULT_ANALYSIS_CTOR(BELLE_2013_I1245023);
14
15
16 /// @name Analysis methods
17 /// @{
18
19 /// Book histograms and initialise projections before the run
20 void init() {
21 // Initialise and register projections
22 declare(FinalState(), "FS");
23 // histos
24 if (inRange(sqrtS()/GeV,1.05,4.0)) {
25 if (sqrtS()>1.1) book(_sigmaKK[0],"TMP/nKK_1",refData( 1, 1, 1));
26 book(_sigmaKK[1],"TMP/nKK_2",refData( 1, 1, 2));
27 double sMin=1.1, step=0.01;
28 unsigned int ihist=2,iy=1;
29 while (sMin<3.3) {
30 if (inRange(sqrtS()/GeV, sMin, sMin+step)) {
31 break;
32 }
33 sMin+=step;
34 iy+=1;
35 if (iy==4) {
36 ihist+=1;
37 iy=1;
38 }
39 if (fuzzyEquals(1.9, sMin)) step=0.02;
40 else if (fuzzyEquals(2.4, sMin)) step=0.04;
41 else if (fuzzyEquals(2.6, sMin)) step=0.1;
42 }
43 if (ihist<=40) book(_h_cTheta,ihist,1,iy);
44 }
45 else {
46 throw Error("Invalid CMS energy for BELLE_2013_I1245023");
47 }
48 }
49
50
51 /// Perform the per-event analysis
52 void analyze(const Event& event) {
53 Particles part = apply<FinalState>(event,"FS").particles();
54 if (part.size()!=2) vetoEvent;
55 for (const Particle & p : part) {
56 if (p.pid()!=PID::K0S) vetoEvent;
57 }
58 const double cTheta = abs(part[0].momentum().z()/part[0].momentum().p3().mod());
59 if (cTheta<=0.6) _sigmaKK[1]->fill(sqrtS());
60 if (cTheta<=0.8 &&_sigmaKK[0]) _sigmaKK[0]->fill(sqrtS());
61 if (_h_cTheta ) _h_cTheta ->fill(cTheta);
62 }
63
64
65 /// Normalise histograms etc., after the run
66 void finalize() {
67 const double fact = crossSection()/nanobarn/sumOfWeights();
68 if (_h_cTheta ) scale(_h_cTheta ,fact);
69 for(unsigned int ix=0; ix<2; ++ix) {
70 if (!_sigmaKK[ix]) continue;
71 scale(_sigmaKK[ix],fact);
72 Estimate1DPtr tmp;
73 book(tmp,1,1,1+ix);
74 barchart(_sigmaKK[ix],tmp);
75 }
76 }
77
78 /// @}
79
80
81 /// @name Histograms
82 /// @{
83 Histo1DPtr _sigmaKK[2],_h_cTheta;
84 /// @}
85
86
87 };
88
89
90 RIVET_DECLARE_PLUGIN(BELLE_2013_I1245023);
91
92}
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