CosmoBolognaLib
Free Software C++/Python libraries for cosmological calculations
Distribution.h
Go to the documentation of this file.
1 /********************************************************************
2  * Copyright (C) 2014 by Federico Marulli and Alfonso Veropalumbo *
3  * federico.marulli3@unibo.it *
4  * *
5  * This program is free software; you can redistribute it and/or *
6  * modify it under the terms of the GNU General Public License as *
7  * published by the Free Software Foundation; either version 2 of *
8  * the License, or (at your option) any later version. *
9  * *
10  * This program is distributed in the hope that it will be useful, *
11  * but WITHOUT ANY WARRANTY; without even the implied warranty of *
12  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
13  * GNU General Public License for more details. *
14  * *
15  * You should have received a copy of the GNU General Public *
16  * License along with this program; if not, write to the Free *
17  * Software Foundation, Inc., *
18  * 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
19  ********************************************************************/
20 
33 #ifndef __DISTR__
34 #define __DISTR__
35 
36 #include "Data2D_extra.h"
37 #include "Func.h"
38 
39 
40 // ===================================================================================================
41 
42 
43 namespace cbl {
44 
45  namespace glob {
46 
51  enum class DistributionType {
52 
54  _Constant_,
55 
57  _Uniform_,
58 
60  _Gaussian_,
61 
63  _Poisson_,
64 
66  _Custom_,
67 
70 
73 
74  };
75 
82  inline std::vector<std::string> DistributionTypeNames () { return {"Constant", "Uniform", "Gaussian", "Poisson", "Custom", "Interpolated", "Discrete"}; }
83 
90  inline DistributionType DistributionTypeCast (const int distributionTypeIndex) { return castFromValue<DistributionType>(distributionTypeIndex); }
91 
98  inline DistributionType DistributionTypeCast (const std::string distributionTypeName) { return castFromName<DistributionType>(distributionTypeName, DistributionTypeNames()); }
99 
106  inline std::vector<DistributionType> DistributionTypeCast (const std::vector<int> distributionTypeIndeces) { return castFromValues<DistributionType>(distributionTypeIndeces); }
107 
114  inline std::vector<DistributionType> DistributionTypeCast (const std::vector<std::string> distributionTypeNames) { return castFromNames<DistributionType>(distributionTypeNames, DistributionTypeNames()); }
115 
116 
124  class Distribution {
125 
126  protected:
127 
130 
133 
135  std::shared_ptr<random::RandomNumbers> m_distribution_random;
136 
138  double m_xmin;
139 
141  double m_xmax;
142 
144  std::vector<double> m_distribution_func_pars;
145 
147  std::shared_ptr<void> m_distribution_func_fixed_pars;
148 
151 
154 
156  double m_mean;
157 
159  double m_variance;
160 
162  double m_sigma;
163 
165  int m_seed;
166 
171 
180  double m_moments_integrator (const double xx, const unsigned int order)
181  { return this->operator()(xx)*pow(xx, order); }
182 
192  double m_central_moments_integrator (const double xx, const unsigned int order)
193  { return this->operator()(xx)*pow(xx-m_mean, order); }
194 
203  double m_percentile_integrator (const double xx);
204 
205  public:
206 
211 
216 
224  Distribution (const DistributionType distributionType, const double value);
225 
237  Distribution (const DistributionType distributionType, const double xmin, const double xmax, const int seed=3213);
238 
253  Distribution (const DistributionType distributionType, const std::vector<double> distribution_params, const double xmin, const double xmax, const int seed=1);
254 
272  Distribution (const DistributionType distributionType, const distribution_func func, const std::shared_ptr<void> distribution_fixed_pars, const std::vector<double> distribution_pars, const double xmin, const double xmax, const int seed=1);
273 
285  Distribution (const DistributionType distributionType, const std::vector<double> discrete_values, const std::vector<double> weights, const int seed=1);
286 
302  Distribution (const DistributionType distributionType, const std::vector<double> var, const std::vector<double> dist, const int nbin, const std::string interpolationType, const int seed=1);
303 
307  ~Distribution () = default;
308 
310 
317  {
318  return m_distributionType;
319  }
320 
328  double operator () (double xx);
329 
337  double log_distribution (double xx);
338 
343  void set_seed (const int seed) {m_distribution_random->set_seed(seed);}
344 
352  void set_limits (const double xmin, const double xmax);
353 
359  void set_constant_distribution (const double value);
360 
370  void set_uniform_distribution (const double xmin, const double xmax, const int seed=1);
371 
381  void set_gaussian_distribution (const double mean, const double sigma, const int seed=1);
382 
390  void set_poisson_distribution (const double mean, const int seed=1);
391 
403  void set_custom_distribution (const distribution_func func, const std::shared_ptr<void> distribution_fixed_pars, const std::vector<double> distribution_pars, const int seed=1);
404 
414  void set_discrete_values (const std::vector<double> discrete_values, const std::vector<double> weights, const int seed=1);
415 
427  void set_binned_distribution (const std::vector<double> var, const std::vector<double> dist, const std::string interpolationType="Spline", const int seed=1);
428 
434  double xmin () const { return m_xmin; }
435 
441  double xmax () const { return m_xmax; }
442 
448  double get_mean () const { return m_mean; }
449 
455  double get_sigma () const { return m_sigma; }
456 
462  double get_seed () const { return m_seed; }
463 
470  double distribution_range () const {return (xmax()-xmin());}
471 
477  bool isIncluded (const double value) const;
478 
484  double sample () const;
485 
493  double sample (const int seed);
494 
502  std::vector<double> sample_vector (const int nvalues);
503 
510  double mean ();
511 
518  double variance ();
519 
526  double std ();
527 
534  double skewness ();
535 
542  double kurtosis ();
543 
550  std::vector<double> moments ();
551 
558  double median () { return percentile(50); }
559 
568  double percentile (const unsigned int i);
569 
575  double mode ();
576 
600  void get_distribution (std::vector<double> &xx, std::vector<double> &fx, std::vector<double> &err, const std::vector<double> FF, const std::vector<double> WW, const int nbin, const bool linear=true, const std::string file_out=par::defaultString, const double fact=1., const double V1=par::defaultDouble, const double V2=par::defaultDouble, const bool bin_type=true, const bool conv=false, const double sigma=0.);
601 
602  };
603  }
604 }
605 
606 #endif
The class Data2D_extra.
Useful generic functions.
The class CombinedDistribution.
Definition: Distribution.h:124
double m_xmin
the distribution lower limit
Definition: Distribution.h:138
void set_gaussian_distribution(const double mean, const double sigma, const int seed=1)
set normal distribution
double m_log_distribution_normalization
the natural log of distribution normalization
Definition: Distribution.h:153
double get_seed() const
return the private member m_seed
Definition: Distribution.h:462
void set_seed(const int seed)
set distribution seed
Definition: Distribution.h:343
double m_central_moments_integrator(const double xx, const unsigned int order)
integrand of the central moments of the distribution
Definition: Distribution.h:192
void set_custom_distribution(const distribution_func func, const std::shared_ptr< void > distribution_fixed_pars, const std::vector< double > distribution_pars, const int seed=1)
set a custom distribution
void m_set_distribution_normalization()
set distribution normalization
std::shared_ptr< void > m_distribution_func_fixed_pars
void pointer for the distribution function
Definition: Distribution.h:147
double m_xmax
the distribution upper limit
Definition: Distribution.h:141
std::vector< double > m_distribution_func_pars
the parameters of the distribution function
Definition: Distribution.h:144
DistributionType distributionType() const
return the distribution type
Definition: Distribution.h:316
std::shared_ptr< random::RandomNumbers > m_distribution_random
the distribution random generator
Definition: Distribution.h:135
double m_mean
the distribution mean
Definition: Distribution.h:156
distribution_func m_func
the probability distribution function
Definition: Distribution.h:132
double operator()(double xx)
evaluate distribution
double xmax() const
return the private member m_xmax
Definition: Distribution.h:441
double get_mean() const
return the private member m_mean
Definition: Distribution.h:448
void set_poisson_distribution(const double mean, const int seed=1)
set poisson distribution
double mean()
return the mean value of the distribution
double m_moments_integrator(const double xx, const unsigned int order)
integrand of the moments distribution
Definition: Distribution.h:180
double mode()
return the distribution mode
void set_constant_distribution(const double value)
set a constant distribution
Distribution()
default constructor
Definition: Distribution.h:215
DistributionType m_distributionType
the type of distribution
Definition: Distribution.h:129
void set_limits(const double xmin, const double xmax)
set the distribution limits
double log_distribution(double xx)
evaluate log-distribution
double m_distribution_normalization
the distribution normalization
Definition: Distribution.h:150
~Distribution()=default
default destructor
int m_seed
the distribution seed
Definition: Distribution.h:165
double kurtosis()
return the kurtosis of the distribution
std::vector< double > moments()
return the moments of the distribution distribution
double distribution_range() const
the distribution range
Definition: Distribution.h:470
double median()
return the median of the distibution
Definition: Distribution.h:558
double variance()
return the standard deviation of the distribution
double skewness()
return the skewness of the distribution
double sample() const
sample a value from the distribution
double get_sigma() const
return the private member m_sigma
Definition: Distribution.h:455
void set_uniform_distribution(const double xmin, const double xmax, const int seed=1)
set an uniform distribution with input limits and seed
void set_discrete_values(const std::vector< double > discrete_values, const std::vector< double > weights, const int seed=1)
set discrete distribution values and weights
double std()
return the standard deviation of the distribution
void get_distribution(std::vector< double > &xx, std::vector< double > &fx, std::vector< double > &err, const std::vector< double > FF, const std::vector< double > WW, const int nbin, const bool linear=true, const std::string file_out=par::defaultString, const double fact=1., const double V1=par::defaultDouble, const double V2=par::defaultDouble, const bool bin_type=true, const bool conv=false, const double sigma=0.)
derive and store the number distribution of a given std::vector
double xmin() const
return the private member m_xmin
Definition: Distribution.h:434
double m_percentile_integrator(const double xx)
integrand of the percentile of the distribution
double m_variance
the distribution variance
Definition: Distribution.h:159
void set_binned_distribution(const std::vector< double > var, const std::vector< double > dist, const std::string interpolationType="Spline", const int seed=1)
set discrete distribution values and weights
bool isIncluded(const double value) const
check if a value is included in the distribution limits
double m_sigma
the distribution standard deviation
Definition: Distribution.h:162
double percentile(const unsigned int i)
return the i-th percentile of the distribution
std::vector< double > sample_vector(const int nvalues)
sample values from the distribution
static const std::string defaultString
default std::string value
Definition: Constants.h:336
static const double defaultDouble
default double value
Definition: Constants.h:348
DistributionType
the distribution type
Definition: Distribution.h:51
@ _Interpolated_
User defined Tabulated Function.
@ _Custom_
Custom function.
@ _Constant_
Constant function.
@ _Uniform_
Identity function.
@ _Gaussian_
Gaussian function.
@ _Poisson_
Poisson function.
@ _Discrete_
Discrete distribution.
std::vector< std::string > DistributionTypeNames()
return a vector containing the DistributionType names
Definition: Distribution.h:82
DistributionType DistributionTypeCast(const int distributionTypeIndex)
cast an enum of type DistributionType from its index
Definition: Distribution.h:90
The global namespace of the CosmoBolognaLib
Definition: CAMB.h:38
std::string conv(const T val, const char *fact)
convert a number to a std::string
Definition: Kernel.h:903
std::function< double(double, std::shared_ptr< void >, std::vector< double >)> distribution_func
generic distribution function
Definition: RandomNumbers.h:50