ctools  2.0.0
 All Classes Namespaces Files Functions Variables Macros Pages
ctlike.hpp
Go to the documentation of this file.
1 /***************************************************************************
2  * ctlike - Maximum likelihood fitting tool *
3  * ----------------------------------------------------------------------- *
4  * copyright (C) 2010-2022 by Juergen Knoedlseder *
5  * ----------------------------------------------------------------------- *
6  * *
7  * This program is free software: you can redistribute it and/or modify *
8  * it under the terms of the GNU General Public License as published by *
9  * the Free Software Foundation, either version 3 of the License, or *
10  * (at your option) any later version. *
11  * *
12  * This program is distributed in the hope that it will be useful, *
13  * but WITHOUT ANY WARRANTY; without even the implied warranty of *
14  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
15  * GNU General Public License for more details. *
16  * *
17  * You should have received a copy of the GNU General Public License *
18  * along with this program. If not, see <http://www.gnu.org/licenses/>. *
19  * *
20  ***************************************************************************/
21 /**
22  * @file ctlike.hpp
23  * @brief Maximum likelihood fitting tool definition
24  * @author Juergen Knoedlseder
25  */
26 
27 #ifndef CTLIKE_HPP
28 #define CTLIKE_HPP
29 
30 /* __ Includes ___________________________________________________________ */
31 #include "ctlikelihood.hpp"
32 
33 /* __Definitions _________________________________________________________ */
34 #define CTLIKE_NAME "ctlike"
35 
36 
37 /***********************************************************************//**
38  * @class ctlike
39  *
40  * @brief Maximum likelihood fitting tool
41  ***************************************************************************/
42 class ctlike : public ctlikelihood {
43 
44 public:
45  // Constructors and destructors
46  ctlike(void);
47  explicit ctlike(const GObservations& obs);
48  ctlike(int argc, char *argv[]);
49  ctlike(const ctlike& app);
50  virtual ~ctlike(void);
51 
52  // Operators
53  ctlike& operator=(const ctlike& app);
54 
55  // Methods
56  void clear(void);
57  void process(void);
58  void save(void);
59  const int& iter(void) const;
60  const double& logL(void) const;
61  const double& nobs(void) const;
62  const double& npred(void) const;
63 
64 protected:
65  // Protected methods
66  void init_members(void);
67  void copy_members(const ctlike& app);
68  void free_members(void);
69  void get_parameters(void);
70  void optimize_lm(void);
71  double reoptimize_lm(void);
72  GXml xml_result(void) const;
73  bool refit(const GOptimizer* opt);
74 
75  // User parameters
76  GFilename m_outmodel; //!< Source model output XML file name
77  GFilename m_outcovmat; //!< Covariance matrix output file name
78  int m_max_iter; //!< Maximum number of iterations
79  bool m_refit; //!< Refitting?
80  bool m_refit_if_failed; //!< Refitting in case of failure?
81  bool m_apply_edisp; //!< Apply energy dispersion?
82  bool m_fix_spat_for_ts; //!< Fix spatial parameters for TS computation?
83  GChatter m_chatter; //!< Chattiness
84 
85  // Members
86  int m_iter; //!< Number of iterations
87  double m_logL; //!< Maximum log likelihood
88  double m_nobs; //!< Number of observed events
89  double m_npred; //!< Number of predicted events
90 };
91 
92 
93 /***********************************************************************//**
94  * @brief Return number of maximum likelihood iterations
95  *
96  * @return Number of maximum likelihood iterations.
97  ***************************************************************************/
98 inline
99 const int& ctlike::iter(void) const
100 {
101  return (m_iter);
102 }
103 
104 
105 /***********************************************************************//**
106  * @brief Return maximum likelihood value
107  *
108  * @return Maximum likelihood value.
109  ***************************************************************************/
110 inline
111 const double& ctlike::logL(void) const
112 {
113  return (m_logL);
114 }
115 
116 
117 /***********************************************************************//**
118  * @brief Return number of observed events
119  *
120  * @return Number of observed events.
121  ***************************************************************************/
122 inline
123 const double& ctlike::nobs(void) const
124 {
125  return (m_nobs);
126 }
127 
128 
129 /***********************************************************************//**
130  * @brief Return number of predicted events
131  *
132  * @return Number of predicted events.
133  ***************************************************************************/
134 inline
135 const double& ctlike::npred(void) const
136 {
137  return (m_npred);
138 }
139 
140 #endif /* CTLIKE_HPP */
bool m_refit_if_failed
Refitting in case of failure?
Definition: ctlike.hpp:80
bool refit(const GOptimizer *opt)
Refit needed?
Definition: ctlike.cpp:753
int m_max_iter
Maximum number of iterations.
Definition: ctlike.hpp:78
bool m_fix_spat_for_ts
Fix spatial parameters for TS computation?
Definition: ctlike.hpp:82
double m_npred
Number of predicted events.
Definition: ctlike.hpp:89
Maximum likelihood fitting tool.
Definition: ctlike.hpp:42
virtual ~ctlike(void)
Destructor.
Definition: ctlike.cpp:125
ctlike & operator=(const ctlike &app)
Assignment operator.
Definition: ctlike.cpp:147
void get_parameters(void)
Get application parameters.
Definition: ctlike.cpp:482
bool m_refit
Refitting?
Definition: ctlike.hpp:79
void free_members(void)
Delete class members.
Definition: ctlike.cpp:470
const GObservations & obs(void) const
Return observation container.
double reoptimize_lm(void)
Re-optimise model parameters for TS computation.
Definition: ctlike.cpp:625
void process(void)
Process maximum likelihood analysis.
Definition: ctlike.cpp:216
GFilename m_outmodel
Source model output XML file name.
Definition: ctlike.hpp:76
const GOptimizer * opt(void) const
Return optimizer.
Likelihood tool base class interface definition.
const double & npred(void) const
Return number of predicted events.
Definition: ctlike.hpp:135
void init_members(void)
Initialise class members.
Definition: ctlike.cpp:417
const int & iter(void) const
Return number of maximum likelihood iterations.
Definition: ctlike.hpp:99
int m_iter
Number of iterations.
Definition: ctlike.hpp:86
const double & nobs(void) const
Return number of observed events.
Definition: ctlike.hpp:123
void optimize_lm(void)
Optimise model parameters.
Definition: ctlike.cpp:550
void copy_members(const ctlike &app)
Copy class members.
Definition: ctlike.cpp:446
GFilename m_outcovmat
Covariance matrix output file name.
Definition: ctlike.hpp:77
double m_logL
Maximum log likelihood.
Definition: ctlike.hpp:87
GChatter m_chatter
Chattiness.
Definition: ctlike.hpp:83
double m_nobs
Number of observed events.
Definition: ctlike.hpp:88
ctlike(void)
Void constructor.
Definition: ctlike.cpp:56
void save(void)
Save results.
Definition: ctlike.cpp:357
void clear(void)
Clear ctlike tool.
Definition: ctlike.cpp:182
bool m_apply_edisp
Apply energy dispersion?
Definition: ctlike.hpp:81
const double & logL(void) const
Return maximum likelihood value.
Definition: ctlike.hpp:111
Base class for likelihood tools.
GXml xml_result(void) const
Generate XML result.
Definition: ctlike.cpp:681