Calibration::VariableBackendEstimate Class Reference

Manages a variable backend and its best estimate. More...

#include <VariableBackendEstimate.h>

Inheritance diagram for Calibration::VariableBackendEstimate:

Public Member Functions
	VariableBackendEstimate (MEAL::Complex2 *response=0)
	Construct using the supplied response.
void	set_response (MEAL::Complex2 *xform)
	Set the response that contains the backend.
void	add_model (MEAL::Complex2 *xform)
	Multiply psr_response by xform and cal_response by backend.
IndexedProduct *	get_psr_response ()
	Get the response for pulsar observations.
IndexedProduct *	get_cal_response ()
	Get the response for calibrator observations.
SingleAxis *	get_backend ()
	Get the backend component.
void	set_psr_constant_gain (bool=true)
	Set true when the pulsar Stokes parameters have been normalized.
void	set_cal_backend_only (bool=true)
	Set true when the cal signal is coupled after the feed.
void	set_gain_variation (MEAL::Univariate< MEAL::Scalar > *)
void	set_diff_gain_variation (MEAL::Univariate< MEAL::Scalar > *)
void	set_diff_phase_variation (MEAL::Univariate< MEAL::Scalar > *)
void	update ()
	Update the transformation with the current estimate, if possible.
void	update (MEAL::Scalar *function, double value)
	Update one of the variable parameters.
bool	reduce_nfree ()
	Attempt to reduced the number of degrees of freedom. More...
void	update_reference_epoch ()
	Update the reference epoch.
void	engage_time_variations ()
void	disengage_time_variations ()
void	unmap_variations (std::vector< unsigned > &imap, MEAL::Complex2 *composite)
void	compute_covariance (std::vector< unsigned > &imap, std::vector< std::vector< double > > &Ctotal)
Public Member Functions inherited from Calibration::BackendEstimate
void	integrate (const MEAL::Complex2 *xform)
	Integrate a calibrator solution.
unsigned	get_path_index () const
	Return the path index.
void	set_start_time (const MJD &epoch)
const MJD &	get_start_time () const
void	set_end_time (const MJD &epoch)
const MJD &	get_end_time () const
bool	spans (const MJD &epoch)
	Return true if this estimate spans the epoch.
void	add_observation_epoch (const MJD &epoch)
	update min_time and max_time
void	add_weight (float amount)
float	get_weight () const
Public Member Functions inherited from Reference::Able
	Able (const Able &)
Able &	operator= (const Able &)
unsigned	get_reference_count () const
Public Member Functions inherited from Reference::HeapTracked
	HeapTracked (const HeapTracked &)
HeapTracked &	operator= (const HeapTracked &)
bool	__is_on_heap () const

Public Attributes
Calibration::ConvertMJD	convert
	Used to convert MJD to double.
Public Attributes inherited from Calibration::BackendEstimate
unsigned	path_index
	The index of the SignalPath in which this backend is a component.

Additional Inherited Members
Static Public Member Functions inherited from Reference::Able
static size_t	get_instance_count ()
Static Public Member Functions inherited from Reference::HeapTracked
static void *	operator new (size_t size, void *ptr=0)
static void	operator delete (void *location, void *ptr)
static void	operator delete (void *location)
static size_t	get_heap_queue_size ()
Protected Member Functions inherited from Reference::Able
Handle *	__reference (bool active) const
void	__dereference (bool auto_delete=true) const
Protected Attributes inherited from Calibration::BackendEstimate
Reference::To< MEAL::Complex2 >	backend
	The backend component.
Reference::To< MEAL::Mean< MEAL::Complex2 > >	mean
	The mean of the backend component.
setMJD	start_time
	The start of the period spanned by this backend solution.
setMJD	end_time
	The end of the period spanned by this solution.
MJD	min_time
	The mimimum observation time.
MJD	max_time
	The maximum observation time.
float	weight

Detailed Description

Manages a variable backend and its best estimate.

Member Function Documentation

reduce_nfree()

bool VariableBackendEstimate::reduce_nfree

(

)

Attempt to reduced the number of degrees of freedom.

Attempt to reduce the number of degrees of freedom in the model.

Return true if successful

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

• VariableBackendEstimate.h
• VariableBackendEstimate.C