-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathThermalMinimizer.cpp
executable file
·192 lines (164 loc) · 6 KB
/
ThermalMinimizer.cpp
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
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
#include <iostream>
#include <iomanip>
#include <cmath>
#include "Minuit2/Minuit2Minimizer.h"
#include "Math/Functor.h"
#include "ThermalMinimizer.h"
#include "ThermalFunctions.h"
#include "Particles.h"
ThermalMinimizer *minFuncObjGlobal;
ThermalMinimizer::ThermalMinimizer(int fc)
{
isMinimized = false;
funcCount = fc;
funcVal = new double[fc];
funcVal_err = new double[fc];
tFunc = new ThermalFunction*[fc];
}
ThermalMinimizer::~ThermalMinimizer()
{
delete[] funcVal;
delete[] funcVal_err;
// delete[] tFunc;
funcVal = nullptr;
funcVal_err = nullptr;
tFunc = nullptr;
}
void ThermalMinimizer::setInitialParameters(double T, double mub, double muq, double mus)
{
T_init = T;
mub_init = mub;
muq_init = muq;
mus_init = mus;
isMinimized = false;
}
void ThermalMinimizer::SetFunctionValueEach(int id, double val, double val_err)
{
if(id < 0 || id >= funcCount){ return; }
funcVal[id] = val;
funcVal_err[id] = val_err;
}
void ThermalMinimizer::SetThermalFunctionEach(int id, ThermalFunction *f)
{
if(id < 0 || id >= funcCount){ return; }
// delete tFunc[id];
tFunc[id] = f;
}
double ThermalMinimizer::minFunction(const double *x)
{
double T = x[0];
double mub = x[1];
double muq = x[2];
double mus = x[3];
double sum = 0;
for (int i = 0; i < funcCount; ++i)
{
sum += pow(tFunc[i]->getValue(T,mub,muq,mus)-funcVal[i],2)/pow(funcVal_err[i],2); // for chi2 test
// sum += pow(tFunc[i]->getValue(T,mub,muq,mus)-funcVal[i],2); // for net-pQ paper results
}
return sum; // for chi2 test
// return sqrt(sum)/funcCount; // for net-pQ paper results
}
void ThermalMinimizer::minimize(int maxFC, double tol, bool showLog)
{
ROOT::Minuit2::Minuit2Minimizer minimum {ROOT::Minuit2::kMigrad};
minimum.SetMaxFunctionCalls(maxFC);
minimum.SetMaxIterations(maxFC);
minimum.SetTolerance(tol);
// minimum.SetErrorDef(1); // standard dev. for chi2 distr. with n dof
minFuncObjGlobal = this;
ROOT::Math::Functor f (&ThermalMinFunction_wrapped,4);
double step = 1e-2;
minimum.SetFunction(f);
minimum.SetVariable(0,"T",T_init, step);
minimum.SetVariable(1,"mub",mub_init, step);
minimum.SetVariable(2,"muq",muq_init, step);
minimum.SetVariable(3,"mus",mus_init, step);
minimum.SetVariableLimits(0,0.1,0.2);
minimum.SetVariableLimits(1,-0.5,0.5);
minimum.SetVariableLimits(2,-0.1,0.1);
minimum.SetVariableLimits(3,-0.1,0.1);
// do the minimization
bool hasConverged = minimum.Minimize();
const double *x = minimum.X();
const double *xerr = minimum.Errors();
T_final = x[0];
mub_final = x[1];
muq_final = x[2];
mus_final = x[3];
// minimum.GetMinosError(0,T_err_low,T_err_up);
// minimum.GetMinosError(1,mub_err_low,mub_err_up);
// minimum.GetMinosError(2,muq_err_low,muq_err_up);
// minimum.GetMinosError(3,mus_err_low,mus_err_up);
// T_err = (T_err_low+T_err_up)/2;
// mub_err = (mub_err_low+mub_err_up)/2;
// muq_err = (muq_err_low+muq_err_up)/2;
// mus_err = (mus_err_low+mus_err_up)/2;
T_err = xerr[0];
mub_err = xerr[1];
muq_err = xerr[2];
mus_err = xerr[3];
if (showLog)
{
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << " Determination of chemical freezout parameters" << '\n';
std::cout << " functions: " << funcCount << " , tol.: " << tol << " , max. calls(approx.): " << maxFC << '\n';
std::cout << " Number of function calls(each) : " << minimum.NCalls() << '\n';
std::cout << " Minimization status : " << hasConverged << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << " Par. name Init. Val. Final. Val. Error" << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << std::left << std::setw(20) << " Temp." << std::right << std::setw(15) << T_init << std::setw(15) << T_final << std::setw(15) << T_err << '\n';
std::cout << std::left << std::setw(20) << " B chem. pot." << std::right << std::setw(15) << mub_init << std::setw(15) << mub_final << std::setw(15) << mub_err << '\n';
std::cout << std::left << std::setw(20) << " Q chem. pot." << std::right << std::setw(15) << muq_init << std::setw(15) << muq_final << std::setw(15) << muq_err << '\n';
std::cout << std::left << std::setw(20) << " S chem. pot." << std::right << std::setw(15) << mus_init << std::setw(15) << mus_final << std::setw(15) << mus_err << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << " #f Value Obt. Value Req. Error prov. Chi2 Error" << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
double val, chi2err;
for (int i = 0; i < funcCount; ++i)
{
val = tFunc[i]->getValue(x[0],x[1],x[2],x[3]);
chi2err = pow((val - funcVal[i])/funcVal_err[i],2);
std::cout << std::setw(5) << i+1 << std::setw(15) << val
<< std::setw(15) << funcVal[i] << std::setw(15) << funcVal_err[i] << std::setw(15) << chi2err << '\n';
}
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << std::setw(50) << "Minimiser final value" << std::setw(15) << minimum.MinValue() << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
std::cout << "-----------------------------------------------------------------" << '\n';
}
isMinimized = true;
minimum.Clear();
}
double* ThermalMinimizer::getMinimizedParameters()
{
if(isMinimized)
{
double *x = new double[4];
x[0] = T_final;
x[1] = mub_final;
x[2] = muq_final;
x[3] = mus_final;
return x;
}
return nullptr;
}
double* ThermalMinimizer::getMinimizedParameterErrors()
{
if(isMinimized)
{
double *x = new double[4];
x[0] = T_err;
x[1] = mub_err;
x[2] = muq_err;
x[3] = mus_err;
return x;
}
return nullptr;
}
double ThermalMinFunction_wrapped(const double *var)
{
return minFuncObjGlobal->minFunction(var);
}