58{
61
63 int numberOfEvents;
67
68 try {
69
71
77
79 }
80 catch(const exception& error) {
82 }
83
84 ASSERT(numberOfEvents > 0);
85
87
88 TF1 fs("fs", "exp(-0.5 * (x-[0])*(x-[0]) / ([1]*[1]))");
89 TF1 fb("fb", "1.0");
90
91 fs.FixParameter(0,
gauss.mean);
92 fs.FixParameter(1,
gauss.sigma);
93
97
103 };
104
106 TH1D(
"ha",
"", 101, -0.1, +0.1),
107 TH1D(
"hb",
"", 101, -0.1, +0.1),
108 TH1D(
"hc",
"", 101, -100.0, +100.0),
109 TH1D(
"hd",
"", 101, -100.0, +100.0)
110 };
111
113
114 for (int i = 0; i != numberOfEvents; ++i) {
115
117
119
121 h0.FillRandom(
"fb", (
Int_t)
gauss.background);
122
124
125 for (
Int_t i = 1; i <= h0.GetNbinsX(); ++i) {
126 data.push_back(JElement_t(h0.GetBinCenter (i),
127 h0.GetBinContent(i)));
128 }
129
131
132 fit.step.resize(4);
133
134 fit.step[0] =
JGauss(0.1, 0.0, 0.0, 0.0);
135 fit.step[1] =
JGauss(0.0, 0.1, 0.0, 0.0);
136 fit.step[2] =
JGauss(0.0, 0.0,
gauss.signal * 0.01, 0.0);
137 fit.step[3] =
JGauss(0.0, 0.0, 0.0,
gauss.background * 0.01);
138
139 fit.value =
JGauss(h0.GetMean(),
140 h0.GetRMS(),
141 h0.GetEntries() * (xmax - xmin) /
nx - h0.GetMinimum(),
142 h0.GetMinimum());
143
144 DEBUG(
"Start value " << fit.value <<
endl);
145
146 for (size_t i = 0; i != fit.step.size(); ++i) {
147 DEBUG(
"Step size " << i <<
' ' << fit.step[i] <<
endl);
148 }
149
151
152 const double chi2 = fit(
g1,
data.begin(),
data.end());
153
155
156 DEBUG(
"Final value " << fit.value <<
endl);
158
159 const double Y[] = { fit.value.mean -
gauss.mean,
160 fit.value.sigma -
gauss.sigma,
161 fit.value.signal *
nx / (xmax - xmin) -
gauss.signal,
162 fit.value.background *
nx -
gauss.background };
163
164 for (int i = 0; i != sizeof(Q)/sizeof(Q[0]); ++i) {
167 }
168 }
169
170 for (int i = 0; i != sizeof(Q)/sizeof(Q[0]); ++i) {
172 }
173
176 }
177
179
181
182 for (
int i = 0; i !=
sizeof(
H)/
sizeof(
H[0]); ++i) {
184 }
185
186 out.Write();
187 out.Close();
188 }
189
190 for (int i = 0; i != sizeof(Q)/sizeof(Q[0]); ++i) {
192 }
193
198
199 return 0;
200}
double getMean(vector< double > &v)
get mean of vector content
std::ostream & longprint(std::ostream &out)
Set long printing.
std::ostream & shortprint(std::ostream &out)
Set short printing.
#define DEBUG(A)
Message macros.
#define ASSERT(A,...)
Assert macro.
#define make_field(A,...)
macro to convert parameter to JParserTemplateElement object
Double_t g1(const Double_t x)
Function.
Auxiliary class for CPU timing and usage.
void print(std::ostream &out, const JScale_t scale=milli_t) const
Print timer data.
Simple fit method based on Powell's algorithm, see reference: Numerical Recipes in C++,...
Template definition of a multi-dimensional oscillation probability interpolation table.
double gauss(const double x, const double sigma)
Gauss function (normalised to 1 at x = 0).
static const double H
Planck constant [eV s].
This name space includes all other name spaces (except KM3NETDAQ, KM3NET and ANTARES).