1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
| // -*- C++ -*-
#include "Rivet/Analysis.hh"
#include "Rivet/Projections/FinalState.hh"
namespace Rivet {
/// @brief Add a short analysis description here
class SND_2018_I1637194 : public Analysis {
public:
/// Constructor
RIVET_DEFAULT_ANALYSIS_CTOR(SND_2018_I1637194);
/// @name Analysis methods
//@{
/// Book histograms and initialise projections before the run
void init() {
// Initialise and register projections
declare(FinalState(), "FS");
book(_nKKpi, "/TMP/nKKpi" );
}
/// Perform the per-event analysis
void analyze(const Event& event) {
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;
}
if(ntotal==3 && nCount[130]==1 && nCount[310]==1 && nCount[111] ==1)
_nKKpi->fill();
}
/// Normalise histograms etc., after the run
void finalize() {
double sigma = _nKKpi->val();
double error = _nKKpi->err();
sigma *= crossSection()/ sumOfWeights() /nanobarn;
error *= crossSection()/ sumOfWeights() /nanobarn;
Scatter2D temphisto(refData(1, 1, 1));
Scatter2DPtr mult;
book(mult, 1, 1, 1);
for (size_t b = 0; b < temphisto.numPoints(); b++) {
const double x = temphisto.point(b).x();
pair<double,double> ex = temphisto.point(b).xErrs();
pair<double,double> ex2 = ex;
if(ex2.first ==0.) ex2. first=0.0001;
if(ex2.second==0.) ex2.second=0.0001;
if (inRange(sqrtS()/GeV, x-ex2.first, x+ex2.second)) {
mult->addPoint(x, sigma, ex, make_pair(error,error));
}
else {
mult->addPoint(x, 0., ex, make_pair(0.,.0));
}
}
}
//@}
/// @name Histograms
//@{
CounterPtr _nKKpi;
//@}
};
// The hook for the plugin system
RIVET_DECLARE_PLUGIN(SND_2018_I1637194);
}
|