StatWT sets WEIGHT and SIGMA statistically. More...

#include <StatWT.h>

Inheritance diagram for casa::StatWT:

Public Member Functions
	StatWT (const ROVisibilityIterator &vi, const MS::PredefinedColumns datacol=MS::DATA, const String &fitspw="", const String &outspw="", const Bool dorms=false, const uInt minsamp=2, const vector< uInt > selcorrs=vector< uInt >())
	Construct an object that will set the weights and sigmas of vi's MeasurementSet, as selected by outspw, according to the scatter of the visibilities selected by fitspw.
Copy construct	StatWT (const StatWT &other)
Destructor *virtual	~StatWT ()
virtual Assignment StatWT &	operator= (const StatWT &gw)
virtual asyncio::PrefetchColumns *	prefetchColumns () const
This is where all the work gets done *virtual Bool	process (VisBuffGroup &vbg)
	This is where all the work gets done!
Private Member Functions
	StatWT ()
	Disable null c'tor.
Bool	update_variances (std::map< uInt, Vector< uInt > > &ns, std::map< uInt, Vector< Complex > > &means, std::map< uInt, Vector< Double > > &variances, const VisBuffer &vb, const Cube< Bool > &chanmaskedflags, const uInt maxAnt)
Bool	apply_variances (VisBuffer &vb, std::map< uInt, Vector< uInt > > &ns, std::map< uInt, Vector< Double > > &variances, const uInt maxAnt)
	ns and variances are effectively const here, but declaring them that way would take some gymnastics.
uInt	hashFunction (const Int ant1, const Int ant2, const Int maxAnt)
	Compute a baseline (row) index (ant1, ant2).
Private Attributes
MS::PredefinedColumns	datacol_p
	Initialized by c'tor:
String	fitspw_p
String	outspw_p
Bool	dorms_p
uInt	rowsdone_p
std::set< Int >	outspws_p
uInt	minsamp_p
	Otherwise, use the standard sample variance.
vector< uInt >	selcorrs_p
	a variance.
std::map< Int, Vector< Bool > * >	fitmask_p
	Not initialized by c'tor: std::set<Int> appliedSpWs_p;.

Detailed Description

StatWT sets WEIGHT and SIGMA statistically.

Intended use:

Public interface

Prerequisite

Etymology

StatWT sets WEIGHT and SIGMA statistically.

Synopsis

Set the weights and sigmas according to the scatter of the visibilities.

To Do

Definition at line 69 of file StatWT.h.

Constructor & Destructor Documentation

casa::StatWT::StatWT	(	const ROVisibilityIterator &	vi,
		const MS::PredefinedColumns	datacol = `MS::DATA`,
		const String &	fitspw = `"*"`,
		const String &	outspw = `"*"`,
		const Bool	dorms = `false`,
		const uInt	minsamp = `2`,
		const vector< uInt >	selcorrs = `vector< uInt >()`
	)

Construct an object that will set the weights and sigmas of vi's MeasurementSet, as selected by outspw, according to the scatter of the visibilities selected by fitspw.

If dorms is true, assume that the true mean is 0. Otherwise, use the standard sample variance.

For each baseline and correlation, if fitspw does not select at least minsamp unflagged visibilities, it will be flagged and weight and sigma will not be calculated. minsamp is effectively at least 2.

Copy construct casa::StatWT::StatWT ( const StatWT & other ) [inline]

Definition at line 90 of file StatWT.h.

Destructor* virtual casa::StatWT::~StatWT ( ) [virtual]

casa::StatWT::StatWT ( ) [private]

Disable null c'tor.

Member Function Documentation

Bool casa::StatWT::apply_variances	(	VisBuffer &	vb,
		std::map< uInt, Vector< uInt > > &	ns,
		std::map< uInt, Vector< Double > > &	variances,
		const uInt	maxAnt
	)		`[private]`

ns and variances are effectively const here, but declaring them that way would take some gymnastics.

uInt casa::StatWT::hashFunction	(	const Int	ant1,
		const Int	ant2,
		const Int	maxAnt
	)		`[inline, private]`

Compute a baseline (row) index (ant1, ant2).

It ASSUMES that ant1 and ant2 are both <= maxAnt.

Definition at line 123 of file StatWT.h.

virtual Assignment StatWT& casa::StatWT::operator= ( const StatWT & gw ) [inline, virtual]

Definition at line 96 of file StatWT.h.

virtual asyncio::PrefetchColumns* casa::StatWT::prefetchColumns ( ) const [virtual]

Reimplemented from casa::GroupWorkerBase.

This is where all the work gets done* virtual Bool casa::StatWT::process ( VisBuffGroup & vbg ) [virtual]

This is where all the work gets done!

Implements casa::GroupWorkerBase.

Bool casa::StatWT::update_variances	(	std::map< uInt, Vector< uInt > > &	ns,
		std::map< uInt, Vector< Complex > > &	means,
		std::map< uInt, Vector< Double > > &	variances,
		const VisBuffer &	vb,
		const Cube< Bool > &	chanmaskedflags,
		const uInt	maxAnt
	)		`[private]`

Member Data Documentation

MS::PredefinedColumns casa::StatWT::datacol_p [private]

Initialized by c'tor:

Which of DATA, MODEL_DATA, or CORRECTED_DATA to fit. It will always write to DATA if datacols_p.nelements() == 1, and write to all 3 otherwise. Thus datacols_p.nelements() should be either 1 or 3. 4 and 2 are right out, and FLOAT_DATA isn't handled by this yet.

Definition at line 134 of file StatWT.h.

Bool casa::StatWT::dorms_p [private]

Definition at line 138 of file StatWT.h.

std::map<Int, Vector<Bool>*> casa::StatWT::fitmask_p [private]

Not initialized by c'tor: std::set<Int> appliedSpWs_p;.

Definition at line 147 of file StatWT.h.

String casa::StatWT::fitspw_p [private]

Definition at line 136 of file StatWT.h.

uInt casa::StatWT::minsamp_p [private]

Otherwise, use the standard sample variance.

Definition at line 142 of file StatWT.h.

String casa::StatWT::outspw_p [private]