ddastoys::analyticfit::SerialFitEngine2 Class Reference

Fit engine for analytic double pulse fits. More...

#include <jacobian_analytic.h>

Inheritance diagram for ddastoys::analyticfit::SerialFitEngine2:

Collaboration diagram for ddastoys::analyticfit::SerialFitEngine2:

Public Member Functions
	SerialFitEngine2 (std::vector< std::pair< uint16_t, uint16_t >> &data)
	Constructor. More...
virtual void	jacobian (const gsl_vector *p, gsl_matrix *J)
	Compute the Jacobian matrix. More...
virtual void	residuals (const gsl_vector *p, gsl_vector *r)
	Compute the residual vector. More...
Public Member Functions inherited from ddastoys::CFitEngine
	CFitEngine (std::vector< std::pair< uint16_t, uint16_t >> &data)
	Constructor. More...
virtual	~CFitEngine ()
	Destructor.

Additional Inherited Members
Protected Attributes inherited from ddastoys::CFitEngine
std::vector< uint16_t >	x
	Trace x coordinate vector.
std::vector< uint16_t >	y
	Trace y coordinate vector.

Detailed Description

Fit engine for analytic double pulse fits.

The concept is that each GSL lmfitter can supply a pair of methods: One that computes a vector of residuals and one that computes a Jacobian matrix of partial derivatives. At the implementation level we have two types of fits we need done: Single pulse fits and double pulse fits (the engines with names ending in 1 or 2). For each fit type we have two fit engines: 1) Serial computation (the engines with names starting with Serial) 2) GPU accelerated (the engines with names starting with Cuda). Finally a fit factory can generate the appropriate fit engine as desired by the actual fit.

Constructor & Destructor Documentation

SerialFitEngine2()

ddastoys::analyticfit::SerialFitEngine2::SerialFitEngine2

(

std::vector< std::pair< uint16_t, uint16_t >> &

data

)

Constructor.

Parameters

data	The trace.

Delegates to base class construction.

Member Function Documentation

jacobian()

void ddastoys::analyticfit::SerialFitEngine2::jacobian ( const gsl_vector *  p, gsl_matrix *  J  )

virtual

Compute the Jacobian matrix.

Parameters

[in]	p	The current parameters.
[out]	J	The Jacobian matrix to fill in.

Compute the Jacobian matrix of the fit with respect to current values of the fit parameters.

Implements ddastoys::CFitEngine.

residuals()

void ddastoys::analyticfit::SerialFitEngine2::residuals ( const gsl_vector *  p, gsl_vector *  r  )

virtual

Compute the residual vector.

Parameters

[in]	p	Current parameter set.
[out]	r	Pointwise residuals.

Implements ddastoys::CFitEngine.

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The documentation for this class was generated from the following files:

• jacobian_analytic.h
• SerialFitEngineAnalytic.cpp