Geant4 11.1.1
Toolkit for the simulation of the passage of particles through matter
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RandPoissonQ.h
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1// -*- C++ -*-
2//
3// -----------------------------------------------------------------------
4// HEP Random
5// --- RandPoissonQ ---
6// class header file
7// -----------------------------------------------------------------------
8
9// Class defining RandPoissonQ, which is derived from RandPoison.
10// The user interface is identical; but RandGaussQ is much faster in all cases
11// and a bit less accurate when mu > 100.
12
13// =======================================================================
14// M. Fischler - Created: 4th Feb 2000
15// M Fischler - put and get to/from streams 12/10/04
16//
17// =======================================================================
18
19#ifndef RandPoissonQ_h
20#define RandPoissonQ_h 1
21
22#include "CLHEP/Random/Random.h"
24
25namespace CLHEP {
26
27/**
28 * @author
29 * @ingroup random
30 */
31class RandPoissonQ : public RandPoisson {
32
33public:
34
35 inline RandPoissonQ ( HepRandomEngine& anEngine, double b1=1.0 );
36 inline RandPoissonQ ( HepRandomEngine* anEngine, double b1=1.0 );
37 // These constructors should be used to instantiate a RandPoissonQ
38 // distribution object defining a local engine for it.
39 // The static generator will be skipped using the non-static methods
40 // defined below.
41 // If the engine is passed by pointer the corresponding engine object
42 // will be deleted by the RandPoissonQ destructor.
43 // If the engine is passed by reference the corresponding engine object
44 // will not be deleted by the RandPoissonQ destructor.
45
46 virtual ~RandPoissonQ();
47 // Destructor
48
49 // Save and restore to/from streams
50
51 std::ostream & put ( std::ostream & os ) const;
52 std::istream & get ( std::istream & is );
53
54 // Methods to generate Poisson-distributed random deviates.
55
56 // The method used for mu <= 100 is exact, and 3-7 times faster than
57 // that used by RandPoisson.
58 // For mu > 100 then we use a corrected version of a
59 // (quick) Gaussian approximation. Naively that would be:
60 //
61 // Poisson(mu) ~ floor( mu + .5 + Gaussian(sqrt(mu)) )
62 //
63 // but actually, that would give a slightly incorrect sigma and a
64 // very different skew than a true Poisson. Instead we return
65 //
66 // Poisson(mu) ~ floor( a0*mu + a1*g + a2*g*g ) )
67 // (with g a gaussian normal)
68 //
69 // where a0, a1, a2 are chosen to give the exctly correct mean, sigma,
70 // and skew for the Poisson distribution.
71
72 // Static methods to shoot random values using the static generator
73
74 static long shoot( double mean=1.0 );
75
76 static void shootArray ( const int size, long* vect, double mean=1.0 );
77
78 // Static methods to shoot random values using a given engine
79 // by-passing the static generator.
80
81 static long shoot( HepRandomEngine* anEngine, double mean=1.0 );
82
83 static void shootArray ( HepRandomEngine* anEngine,
84 const int size, long* vect, double mean=1.0 );
85
86 // Methods using the localEngine to shoot random values, by-passing
87 // the static generator.
88
89 long fire();
90 long fire( double mean );
91
92 void fireArray ( const int size, long* vect );
93 void fireArray ( const int size, long* vect, double mean);
94
95 double operator()();
96 double operator()( double mean );
97
98 std::string name() const;
100
101 static std::string distributionName() {return "RandPoissonQ";}
102 // Provides the name of this distribution class
103
104
105 // static constants of possible interest to users:
106
107 // RandPoisson will never return a deviate greater than this value:
108 static const double MAXIMUM_POISSON_DEVIATE; // Will be 2.0E9
109
110 static inline int tableBoundary();
111
112private:
113
114 // constructor helper
115 void setupForDefaultMu();
116
117 // algorithm helper methods - all static since the shoot methods mayneed them
118 static long poissonDeviateSmall ( HepRandomEngine * e, double mean );
119 static long poissonDeviateQuick ( HepRandomEngine * e, double mean );
120 static long poissonDeviateQuick ( HepRandomEngine * e,
121 double A0, double A1, double A2, double sig );
122
123 // All the engine info, and the default mean, are in the
124 // RandPoisson base class.
125
126 // quantities for approximate Poisson by corrected Gaussian
127 double a0;
128 double a1;
129 double a2;
130 double sigma;
131
132 // static data - constants only, so that saveEngineStatus works properly!
133
134 // The following MUST MATCH the corresponding values used (in
135 // poissonTables.cc) when poissonTables.cdat was created.
136 // poissonTables.cc gets these values by including this header,
137 // but we must be careful not to change these values,
138 // and rebuild RandPoissonQ before re-generating poissonTables.cdat.
139
140 // (These statics are given values near the start of the .cc file)
141
142 static const double FIRST_MU; // lowest mu value in table
143 static const double LAST_MU; // highest mu value
144 static const double S; // Spacing between mu values
145 static const int BELOW; // Starting point for N is at mu - BELOW
146 static const int ENTRIES; // Number of entries in each mu row
147
148};
149
150} // namespace CLHEP
151
152#include "CLHEP/Random/RandPoissonQ.icc"
153
154#endif
static void shootArray(const int size, long *vect, double mean=1.0)
RandPoissonQ(HepRandomEngine &anEngine, double b1=1.0)
std::ostream & put(std::ostream &os) const
void fireArray(const int size, long *vect)
RandPoissonQ(HepRandomEngine *anEngine, double b1=1.0)
static int tableBoundary()
static std::string distributionName()
Definition: RandPoissonQ.h:101
std::istream & get(std::istream &is)
HepRandomEngine & engine()
Definition: RandPoissonQ.cc:52
std::string name() const
Definition: RandPoissonQ.cc:51
static const double MAXIMUM_POISSON_DEVIATE
Definition: RandPoissonQ.h:108
virtual ~RandPoissonQ()
Definition: RandPoissonQ.cc:82
static long shoot(double mean=1.0)
static void shootArray(HepRandomEngine *anEngine, const int size, long *vect, double mean=1.0)
Definition: DoubConv.h:17