Rivet analyses referenceBABAR_2005_I676691$e^+e^- \to$ $2\pi^+2\pi^-$, $K^+K^-\pi^+\pi^-$ and $2K^+2K^-$ cross-sections between the threshold to 4.5 GeVExperiment: BABAR (PEP-II) Inspire ID: 676691 Status: VALIDATED Authors:
Beam energies: ANY Run details:
$e^+e^- \to$ $2\pi^+2\pi^-$, $K^+K^-\pi^+\pi^-$ and $2K^+2K^-$ cross-sections measured by BaBar using radiative return from threshold to 4.5 GeV. Source code: BABAR_2005_I676691.cc 1// -*- C++ -*-
2#include "Rivet/Analysis.hh"
3#include "Rivet/Projections/FinalState.hh"
4
5namespace Rivet {
6
7
8 /// @brief Add a short analysis description here
9 class BABAR_2005_I676691 : public Analysis {
10 public:
11
12 /// Constructor
13 RIVET_DEFAULT_ANALYSIS_CTOR(BABAR_2005_I676691);
14
15
16 /// @name Analysis methods
17 /// @{
18
19 /// Book histograms and initialise projections before the run
20 void init() {
21
22 // Initialise and register projections
23 declare(FinalState(), "FS");
24
25 book(_c2pip2pim , "TMP/2pip2pim");
26 book(_cKpKmpippim, "TMP/KpKmpippim");
27 book(_c2Kp2Km , "TMP/2Kp2Km");
28
29 }
30
31
32 /// Perform the per-event analysis
33 void analyze(const Event& event) {
34 const FinalState& fs = apply<FinalState>(event, "FS");
35
36 map<long,int> nCount;
37 int ntotal(0);
38 for (const Particle& p : fs.particles()) {
39 nCount[p.pid()] += 1;
40 ++ntotal;
41 }
42
43 if(ntotal!=4) vetoEvent;
44
45 if( nCount[211]==2 && nCount[-211]==2)
46 _c2pip2pim->fill();
47 else if(nCount[321]==1 && nCount[-321]==1 && nCount[211]==1 && nCount[-211]==1)
48 _cKpKmpippim->fill();
49 else if( nCount[321]==2 && nCount[-321]==2)
50 _c2Kp2Km->fill();
51 }
52
53
54 /// Normalise histograms etc., after the run
55 void finalize() {
56
57 for (unsigned int ix=1;ix<4;++ix) {
58 double sigma = 0., error = 0.;
59 if(ix==1) {
60 sigma = _c2pip2pim->val();
61 error = _c2pip2pim->err();
62 }
63 else if(ix==2) {
64 sigma = _cKpKmpippim->val();
65 error = _cKpKmpippim->err();
66 }
67 else if(ix==3) {
68 sigma = _c2Kp2Km->val();
69 error = _c2Kp2Km->err();
70 }
71 sigma *= crossSection()/ sumOfWeights() /nanobarn;
72 error *= crossSection()/ sumOfWeights() /nanobarn;
73 Estimate1DPtr mult;
74 book(mult, ix, 1, 1);
75 for (auto& b : mult->bins()) {
76 if (inRange(sqrtS()/GeV, b.xMin(), b.xMax())) {
77 b.set(sigma, error);
78 }
79 }
80 }
81 }
82
83 /// @}
84
85
86 /// @name Histograms
87 /// @{
88 CounterPtr _c2pip2pim, _cKpKmpippim, _c2Kp2Km;
89 /// @}
90
91
92 };
93
94
95 RIVET_DECLARE_PLUGIN(BABAR_2005_I676691);
96
97
98}
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