Combiner Struct Reference

Inheritance diagram for Combiner:

Classes
struct	Final
struct	List
struct	Result

Public Types
typedef List::iterator	iterator
typedef List::const_iterator	const_iterator

Public Member Functions
virtual	~Combiner ()
virtual double	W (const Result &r) const =0
virtual double	StepW (double guess, const Result &r) const =0
virtual double	StepOffset (double guess, const Result &r) const =0
virtual double	TermVar (double guess, const Result &r) const =0
double	Term (double guess, const Result &r) const
double	F (double guess, double chi2, const_iterator &begin, const_iterator &end) const
double	FindError (unsigned short nIter, const_iterator &begin, const_iterator &end, int sign, double best, double chi2, double s)
double	FindX (unsigned short nIter, const_iterator &begin, const_iterator &end, double lowest, double highest)
Final	Calculate (const_iterator &begin, const_iterator &end, unsigned short nIter=50)

Detailed Description

Definition at line 7 of file Combiner.C.

Member Typedef Documentation

typedef List::const_iterator Combiner::const_iterator

Definition at line 224 of file Combiner.C.

typedef List::iterator Combiner::iterator

Definition at line 223 of file Combiner.C.

Constructor & Destructor Documentation

virtual Combiner::~Combiner ( )

inlinevirtual

Virtual destructor

Definition at line 229 of file Combiner.C.

Member Function Documentation

Final Combiner::Calculate ( const_iterator &  begin, const_iterator &  end, unsigned short  nIter = 50  )

inline

Do the calculation

Parameters

begin	Iterator
end	Iterator
nIter	How many iterations to do.

Returns

The best estimate of \( x\) and associated errors

Definition at line 407 of file Combiner.C.

Referenced by Drawer::Combine(), and RunTest().

double Combiner::F ( double  guess, double  chi2, const_iterator &  begin, const_iterator &  end  ) const

inline

Calculate the \( \chi^2(x')\) where \( x'\) is current guess at the result.

Parameters

guess	Current guess \( x'\)
chi2	Optional old \( \chi^2\) from best \( x\) value
begin	Iterator
end	Iterator

Returns

\( \chi^2(x')\)

Definition at line 294 of file Combiner.C.

Referenced by Calculate(), and FindError().

double Combiner::FindError ( unsigned short  nIter, const_iterator &  begin, const_iterator &  end, int  sign, double  best, double  chi2, double  s  )

inline

Try to find best error

Parameters

nIter	Number of iterations
begin	Iterator
end	Iterator
sign	Direction (-1 is low, +1 is high)
best	Current best \( x\) value
chi2	\( \chi^2\) of current best \( x\) value
s	Summed weights in the direction

Returns

The error in the chosen direction

Definition at line 318 of file Combiner.C.

Referenced by Calculate().

double Combiner::FindX ( unsigned short  nIter, const_iterator &  begin, const_iterator &  end, double  lowest, double  highest  )

inline

Find best estimate of \( x\)

Parameters

nIter	Number of iterations
begin	Iterator
end	Iterator
lowest	Lower bound
highest	Upper bound

Returns

\( x\)

Definition at line 367 of file Combiner.C.

Referenced by Calculate().

virtual double Combiner::StepOffset ( double  guess, const Result &  r  ) const

pure virtual

Calculate the bias.

Returns

\(\delta(x')\)

Implemented in LinearVarianceCombiner, and LinearSigmaCombiner.

Referenced by FindX().

virtual double Combiner::StepW ( double  guess, const Result &  r  ) const

pure virtual

Calculate the weight based on a guess of best \( x'\)

Parameters

guess	Current guess \( x'\)
r	Observation

Returns

\( W(x')\)

Implemented in LinearVarianceCombiner, and LinearSigmaCombiner.

Referenced by FindX().

double Combiner::Term ( double  guess, const Result &  r  ) const

inline

Calculate the contribution variance to the \(\chi^2\) with the guess \( x'\).

\[ t_i(x') = (x' - x_i)^2 / v_i(x') \]

where \( v_i(x')\) is the term variance

Parameters

guess	\( x'\)
r	Obersvation

Returns

\( t(x')\)

Definition at line 276 of file Combiner.C.

Referenced by F().

virtual double Combiner::TermVar ( double  guess, const Result &  r  ) const

pure virtual

Calculate the contribution variance to the \(\chi^2\) with the guess \(x'\).

Returns

\( v(x')\)

Implemented in LinearVarianceCombiner, and LinearSigmaCombiner.

Referenced by Term().

virtual double Combiner::W ( const Result &  r ) const

pure virtual

Calculate the weight

Parameters

r	Observation

Returns

\( W\)

Implemented in LinearVarianceCombiner, and LinearSigmaCombiner.

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The documentation for this struct was generated from the following file:

• PWGLF/FORWARD/analysis2/dndeta/Combiner.C