casa::SingleDishMS Class Reference

#include <SingleDishMS.h>

Public Member Functions
	SingleDishMS ()
	Default constructor.
	SingleDishMS (string const &ms_name)
	Construct from MS name string.
	~SingleDishMS ()
	Destructor.
string	name () const
bool	close ()
void	setSelection (Record const &selection, bool const verbose=true)
void	setAverage (Record const &average, bool const verbose=true)
void	scale (float const factor, string const &in_column_name, string const &out_ms_name)
	Multiply a scale factor to selected spectra.
void	subtractBaseline (string const &in_column_name, string const &out_ms_name, string const &out_bloutput_name, bool const &do_subtract, string const &in_spw, string const &blfunc, int const order, float const clip_threshold_sigma, int const num_fitting_max, bool const linefinding, float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge)
	Invoke baseline subtraction (polynomial, write results in new MS).
void	subtractBaselineCspline (string const &in_column_name, string const &out_ms_name, string const &out_bloutput_name, bool const &do_subtract, string const &in_spw, int const npiece, float const clip_threshold_sigma, int const num_fitting_max, bool const linefinding, float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge)
	Cubicspline.
void	subtractBaselineSinusoid (string const &in_column_name, string const &out_ms_name, string const &out_bloutput_name, bool const &do_subtract, string const &in_spw, string const &addwn0, string const &rejwn0, bool const applyfft, string const fftmethod, string const fftthresh, float const clip_threshold_sigma, int const num_fitting_max, bool const linefinding, float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge)
	Sinusoid.
void	subtractBaselineVariable (string const &in_column_name, string const &out_ms_name, string const &out_bloutput_name, bool const &do_subtract, string const &in_spw, string const &param_file)
	variable fitting parameters stored in a text file
void	applyBaselineTable (string const &in_column_name, string const &in_bltable_name, string const &in_spw, string const &out_ms_name)
	apply baseline table
void	fitLine (string const &in_column_name, string const &in_spw, string const &in_pol, string const &fitfunc, string const &in_nfit, bool const linefinding, float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge, string const &tempfile_name, string const &temp_out_ms_name)
	fit line profile
void	smooth (string const &kernelType, float const kernelWidth, string const &columnName, string const &outMsName)
	smooth data with arbitrary smoothing kernel smoothing kernels currently supported include gaussian and boxcar
Static Public Member Functions
static bool	importAsap (string const &infile, string const &outfile, bool const parallel=false)
static bool	importNRO (string const &infile, string const &outfile, bool const parallel=false)
Private Member Functions
void	initialize ()
	Utility functions ///.
void	format_selection (Record &selection)
String	get_field_as_casa_string (Record const &in_data, string const &field_name)
	retrieve a field by name from Record as casa::String.
bool	prepare_for_process (string const &in_column_name, string const &out_ms_name)
bool	prepare_for_process (string const &in_column_name, string const &out_ms_name, Block< Int > const &sortColumns, bool const addDefaultSortCols=false)
void	finalize_process ()
bool	set_column (MSMainEnums::PredefinedColumns const &in, MSMainEnums::PredefinedColumns &out)
	check column 'in' is in input MS and set to 'out' if it exists.
void	convertArrayC2F (Array< Float > &from, Array< Complex > const &to)
	Convert a Complex Array to Float Array.
std::vector< string >	split_string (string const &s, char delim)
	Split a string with given delimiter.
bool	file_exists (string const &filename)
	examine if a file with specified name exists
void	parse_spw (string const &in_spw, Vector< Int > &spw, Matrix< Int > &chan, Vector< size_t > &nchan, Vector< Vector< Bool > > &mask, Vector< bool > &nchan_set)
void	get_nchan_and_mask (Vector< Int > const &rec_spw, Vector< Int > const &data_spw, Matrix< Int > const &rec_chan, size_t const num_chan, Vector< size_t > &nchan, Vector< Vector< Bool > > &mask, Vector< bool > &nchan_set, bool &new_nchan)
void	get_mask_from_rec (Int spwid, Matrix< Int > const &rec_chan, Vector< Bool > &mask, bool initialize=true)
void	get_masklist_from_mask (size_t const num_chan, bool const *mask, Vector< uInt > &masklist)
void	get_baseline_context (size_t const bltype, uint16_t order, size_t num_chan, Vector< size_t > const &nchan, Vector< bool > const &nchan_set, Vector< size_t > &ctx_indices, std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &bl_contexts)
	Create a set of baseline contexts (if necessary).
void	get_baseline_context (size_t const bltype, uint16_t order, size_t num_chan, size_t ispw, Vector< size_t > &ctx_indices, std::vector< size_t > &ctx_nchans, std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &bl_contexts)
void	destroy_baseline_contexts (std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &bl_contexts)
	Destroy a set of baseline contexts.
void	check_sakura_status (string const &name, LIBSAKURA_SYMBOL(Status) const status)
void	check_baseline_status (LIBSAKURA_SYMBOL(LSQFitStatus) const bl_status)
template<typename T , typename U >
void	set_matrix_for_bltable (size_t const num_pol, size_t const num_data_max, std::vector< std::vector< T > > const &in_data, Array< U > &out_data)
template<typename T , typename U >
void	set_array_for_bltable (size_t const ipol, size_t const num_data, T const *in_data, Array< U > &out_data)
size_t	get_num_coeff_bloutput (size_t const bltype, size_t order, size_t &num_coeff_max)
vector< int >	string_to_list (string const &wn_str, char const delim)
void	get_effective_nwave (std::vector< int > const &addwn, std::vector< int > const &rejwn, int const wn_ulimit, std::vector< int > &effwn)
void	finalise_effective_nwave (std::vector< int > const &blparam_eff_base, std::vector< int > const &blparam_exclude, int const &blparam_upperlimit, size_t const &num_chan, float const spec, bool const mask, bool const &applyfft, string const &fftmethod, string const &fftthresh, std::vector< size_t > &blparam_eff)
void	parse_fftthresh (string const &fftthresh_str, string &fftthresh_attr, float &fftthresh_sigma, int &fftthresh_top)
void	select_wavenumbers_via_fft (size_t const num_chan, float const spec, bool const mask, string const &fftmethod, string const &fftthresh_attr, float const fftthresh_sigma, int const fftthresh_top, int const blparam_upperlimit, std::vector< int > &blparam_fft)
void	exec_fft (size_t const num_chan, float const in_spec, bool const in_mask, bool const get_real_imag, bool const get_ampl_only, std::vector< float > &fourier_spec)
void	interpolate_constant (int const num_chan, float const in_spec, bool const in_mask, Vector< Float > &spec)
void	merge_wavenumbers (std::vector< int > const &blparam_eff_base, std::vector< int > const &blparam_fft, std::vector< int > const &blparam_exclude, std::vector< size_t > &blparam_eff)
list< pair< size_t, size_t > >	findLineAndGetRanges (size_t const num_data, float const data[], bool mask[], float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge, bool const invert)
void	findLineAndGetMask (size_t const num_data, float const data[], bool const in_mask[], float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge, bool const invert, bool out_mask[])
template<typename Func0 , typename Func1 , typename Func2 , typename Func3 >
void	doSubtractBaseline (string const &in_column_name, string const &out_ms_name, string const &out_bloutput_name, bool const &do_subtract, string const &in_spw, LIBSAKURA_SYMBOL(Status)&status, std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &bl_contexts, size_t const bltype, vector< int > const &blparam, vector< int > const &blparam_exclude, bool const &applyfft, string const &fftmethod, string const &fftthresh, float const clip_threshold_sigma, int const num_fitting_max, bool const linefinding, float const threshold, int const avg_limit, int const minwidth, vector< int > const &edge, Func0 func0, Func1 func1, Func2 func2, Func3 func3, LogIO os)
retrieve a spectrum at the row and	plane (polarization) from data cube */void get_spectrum_from_cube(Cube< Float > &data_cube
	MS handling functions ///.
void	set_spectrum_to_cube (Cube< Float > &data_cube, size_t const row, size_t const plane, size_t const num_data, float in_data[])
	set a spectrum at the row and plane (polarization) to data cube
void	get_data_cube_float (vi::VisBuffer2 const &vb, Cube< Float > &data_cube)
	get data cube (npolnchannvirow) in in_column_ from visbuffer and convert it to float cube
void	get_flag_cube (vi::VisBuffer2 const &vb, Cube< Bool > &flag_cube)
	get flag cube (npolnchannvirow) from visbuffer
void	get_flag_from_cube (Cube< Bool > &flag_cube, size_t const row, size_t const plane, size_t const num_flag, bool out_flag[])
	retrieve a flag at the row and plane (polarization) from flag cube
void	set_flag_to_cube (Cube< Bool > &flag_cube, size_t const row, size_t const plane, size_t const num_flag, bool in_flag[])
	set a flag at the row and plane (polarization) to flag cube
void	flag_spectrum_in_cube (Cube< Bool > &flag_cube, size_t const row, size_t const plane)
	flag all channels in a supectrum in cube at the row and plane (polarization)
bool	allchannels_flagged (size_t const num_flag, bool const *flag)
	return true if all channels are flagged
size_t	NValidMask (size_t const num_mask, bool const *mask)
	returns the number of channels with true in input mask
multiply a scaling factor to a float array *void	do_scale (float const factor, size_t const num_data, float data[])
	Array execution functions ///.
void	split_bloutputname (string str)
	split the name
Private Attributes
retrieve a spectrum at the row and size_t const	row
retrieve a spectrum at the row and size_t const size_t const	plane
retrieve a spectrum at the row and size_t const size_t const size_t const	num_data
retrieve a spectrum at the row and size_t const size_t const size_t const float	out_data []
the name of input MS *string	msname_
	Member vairables ///.
MSMainEnums::PredefinedColumns	in_column_
	columns to read and save data
Record	selection_
	Record of selection.
Record	average_
	Record of average.
SDMSManager *	sdh_
	SDMSManager.
void(*	visCubeAccessor_ )(vi::VisBuffer2 const &vb, Cube< Float > &cube)
	pointer to accessor function
Bool	doSmoothing_
	smoothing flag
string	bloutputname_csv
string	bloutputname_text
string	bloutputname_table
Static Private Attributes
static constexpr Int	kNRowBlocking
	max number of rows to get in each iteration

Detailed Description

Definition at line 46 of file SingleDishMS.h.

Constructor & Destructor Documentation

casa::SingleDishMS::SingleDishMS ( )

Default constructor.

casa::SingleDishMS::SingleDishMS ( string const & ms_name )

Construct from MS name string.

casa::SingleDishMS::~SingleDishMS ( )

Destructor.

Member Function Documentation

bool casa::SingleDishMS::allchannels_flagged	(	size_t const	num_flag,
		bool const *	flag
	)			`[private]`

return true if all channels are flagged

void casa::SingleDishMS::applyBaselineTable	(	string const &	in_column_name,
		string const &	in_bltable_name,
		string const &	in_spw,
		string const &	out_ms_name
	)

apply baseline table

void casa::SingleDishMS::check_baseline_status ( LIBSAKURA_SYMBOL(LSQFitStatus) const bl_status ) [private]

void casa::SingleDishMS::check_sakura_status	(	string const &	name,
		LIBSAKURA_SYMBOL(Status) const	status
	)			`[private]`

bool casa::SingleDishMS::close ( )

void casa::SingleDishMS::convertArrayC2F	(	Array< Float > &	from,
		Array< Complex > const &	to
	)			`[private]`

Convert a Complex Array to Float Array.

void casa::SingleDishMS::destroy_baseline_contexts ( std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > & bl_contexts ) [private]

Destroy a set of baseline contexts.

multiply a scaling factor to a float array* void casa::SingleDishMS::do_scale	(	float const	factor,
		size_t const	num_data,
		float	data[]
	)			`[private]`

Array execution functions ///.

template<typename Func0 , typename Func1 , typename Func2 , typename Func3 >

void casa::SingleDishMS::doSubtractBaseline	(	string const &	in_column_name,
		string const &	out_ms_name,
		string const &	out_bloutput_name,
		bool const &	do_subtract,
		string const &	in_spw,
		LIBSAKURA_SYMBOL(Status)&	status,
		std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &	bl_contexts,
		size_t const	bltype,
		vector< int > const &	blparam,
		vector< int > const &	blparam_exclude,
		bool const &	applyfft,
		string const &	fftmethod,
		string const &	fftthresh,
		float const	clip_threshold_sigma,
		int const	num_fitting_max,
		bool const	linefinding,
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge,
		Func0	func0,
		Func1	func1,
		Func2	func2,
		Func3	func3,
		LogIO	os
	)			`[inline, private]`

void casa::SingleDishMS::exec_fft	(	size_t const	num_chan,
		float const *	in_spec,
		bool const *	in_mask,
		bool const	get_real_imag,
		bool const	get_ampl_only,
		std::vector< float > &	fourier_spec
	)			`[private]`

bool casa::SingleDishMS::file_exists ( string const & filename ) [private]

examine if a file with specified name exists

void casa::SingleDishMS::finalise_effective_nwave	(	std::vector< int > const &	blparam_eff_base,
		std::vector< int > const &	blparam_exclude,
		int const &	blparam_upperlimit,
		size_t const &	num_chan,
		float const *	spec,
		bool const *	mask,
		bool const &	applyfft,
		string const &	fftmethod,
		string const &	fftthresh,
		std::vector< size_t > &	blparam_eff
	)			`[private]`

void casa::SingleDishMS::finalize_process ( ) [private]

void casa::SingleDishMS::findLineAndGetMask	(	size_t const	num_data,
		float const	data[],
		bool const	in_mask[],
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge,
		bool const	invert,
		bool	out_mask[]
	)			`[private]`

list<pair<size_t, size_t> > casa::SingleDishMS::findLineAndGetRanges	(	size_t const	num_data,
		float const	data[],
		bool	mask[],
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge,
		bool const	invert
	)			`[private]`

void casa::SingleDishMS::fitLine	(	string const &	in_column_name,
		string const &	in_spw,
		string const &	in_pol,
		string const &	fitfunc,
		string const &	in_nfit,
		bool const	linefinding,
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge,
		string const &	tempfile_name,
		string const &	temp_out_ms_name
	)

fit line profile

void casa::SingleDishMS::flag_spectrum_in_cube	(	Cube< Bool > &	flag_cube,
		size_t const	row,
		size_t const	plane
	)			`[private]`

flag all channels in a supectrum in cube at the row and plane (polarization)

void casa::SingleDishMS::format_selection ( Record & selection ) [private]

void casa::SingleDishMS::get_baseline_context	(	size_t const	bltype,
		uint16_t	order,
		size_t	num_chan,
		size_t	ispw,
		Vector< size_t > &	ctx_indices,
		std::vector< size_t > &	ctx_nchans,
		std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &	bl_contexts
	)			`[private]`

void casa::SingleDishMS::get_baseline_context	(	size_t const	bltype,
		uint16_t	order,
		size_t	num_chan,
		Vector< size_t > const &	nchan,
		Vector< bool > const &	nchan_set,
		Vector< size_t > &	ctx_indices,
		std::vector< LIBSAKURA_SYMBOL(LSQFitContextFloat)* > &	bl_contexts
	)			`[private]`

Create a set of baseline contexts (if necessary).

void casa::SingleDishMS::get_data_cube_float	(	vi::VisBuffer2 const &	vb,
		Cube< Float > &	data_cube
	)			`[private]`

get data cube (npol*nchan*nvirow) in in_column_ from visbuffer and convert it to float cube

void casa::SingleDishMS::get_effective_nwave	(	std::vector< int > const &	addwn,
		std::vector< int > const &	rejwn,
		int const	wn_ulimit,
		std::vector< int > &	effwn
	)			`[private]`

String casa::SingleDishMS::get_field_as_casa_string	(	Record const &	in_data,
		string const &	field_name
	)			`[private]`

retrieve a field by name from Record as casa::String.

void casa::SingleDishMS::get_flag_cube	(	vi::VisBuffer2 const &	vb,
		Cube< Bool > &	flag_cube
	)			`[private]`

get flag cube (npol*nchan*nvirow) from visbuffer

void casa::SingleDishMS::get_flag_from_cube	(	Cube< Bool > &	flag_cube,
		size_t const	row,
		size_t const	plane,
		size_t const	num_flag,
		bool	out_flag[]
	)			`[private]`

retrieve a flag at the row and plane (polarization) from flag cube

void casa::SingleDishMS::get_mask_from_rec	(	Int	spwid,
		Matrix< Int > const &	rec_chan,
		Vector< Bool > &	mask,
		bool	initialize = `true`
	)			`[private]`

void casa::SingleDishMS::get_masklist_from_mask	(	size_t const	num_chan,
		bool const *	mask,
		Vector< uInt > &	masklist
	)			`[private]`

void casa::SingleDishMS::get_nchan_and_mask	(	Vector< Int > const &	rec_spw,
		Vector< Int > const &	data_spw,
		Matrix< Int > const &	rec_chan,
		size_t const	num_chan,
		Vector< size_t > &	nchan,
		Vector< Vector< Bool > > &	mask,
		Vector< bool > &	nchan_set,
		bool &	new_nchan
	)			`[private]`

size_t casa::SingleDishMS::get_num_coeff_bloutput	(	size_t const	bltype,
		size_t	order,
		size_t &	num_coeff_max
	)			`[private]`

static bool casa::SingleDishMS::importAsap	(	string const &	infile,
		string const &	outfile,
		bool const	parallel = `false`
	)			`[static]`

static bool casa::SingleDishMS::importNRO	(	string const &	infile,
		string const &	outfile,
		bool const	parallel = `false`
	)			`[static]`

void casa::SingleDishMS::initialize ( ) [private]

Utility functions ///.

void casa::SingleDishMS::interpolate_constant	(	int const	num_chan,
		float const *	in_spec,
		bool const *	in_mask,
		Vector< Float > &	spec
	)			`[private]`

void casa::SingleDishMS::merge_wavenumbers	(	std::vector< int > const &	blparam_eff_base,
		std::vector< int > const &	blparam_fft,
		std::vector< int > const &	blparam_exclude,
		std::vector< size_t > &	blparam_eff
	)			`[private]`

string casa::SingleDishMS::name ( ) const [inline]

Definition at line 59 of file SingleDishMS.h.

References msname_.

size_t casa::SingleDishMS::NValidMask	(	size_t const	num_mask,
		bool const *	mask
	)			`[private]`

returns the number of channels with true in input mask

void casa::SingleDishMS::parse_fftthresh	(	string const &	fftthresh_str,
		string &	fftthresh_attr,
		float &	fftthresh_sigma,
		int &	fftthresh_top
	)			`[private]`

void casa::SingleDishMS::parse_spw	(	string const &	in_spw,
		Vector< Int > &	spw,
		Matrix< Int > &	chan,
		Vector< size_t > &	nchan,
		Vector< Vector< Bool > > &	mask,
		Vector< bool > &	nchan_set
	)			`[private]`

retrieve a spectrum at the row and casa::SingleDishMS::plane ( polarization ) [private]

MS handling functions ///.

bool casa::SingleDishMS::prepare_for_process	(	string const &	in_column_name,
		string const &	out_ms_name,
		Block< Int > const &	sortColumns,
		bool const	addDefaultSortCols = `false`
	)			`[private]`

bool casa::SingleDishMS::prepare_for_process	(	string const &	in_column_name,
		string const &	out_ms_name
	)			`[private]`

void casa::SingleDishMS::scale	(	float const	factor,
		string const &	in_column_name,
		string const &	out_ms_name
	)

Multiply a scale factor to selected spectra.

void casa::SingleDishMS::select_wavenumbers_via_fft	(	size_t const	num_chan,
		float const *	spec,
		bool const *	mask,
		string const &	fftmethod,
		string const &	fftthresh_attr,
		float const	fftthresh_sigma,
		int const	fftthresh_top,
		int const	blparam_upperlimit,
		std::vector< int > &	blparam_fft
	)			`[private]`

template<typename T , typename U >

void casa::SingleDishMS::set_array_for_bltable	(	size_t const	ipol,
		size_t const	num_data,
		T const *	in_data,
		Array< U > &	out_data
	)			`[inline, private]`

Definition at line 272 of file SingleDishMS.h.

bool casa::SingleDishMS::set_column	(	MSMainEnums::PredefinedColumns const &	in,
		MSMainEnums::PredefinedColumns &	out
	)			`[private]`

check column 'in' is in input MS and set to 'out' if it exists.

if not, out is set to MS::UNDEFINED_COLUMN

void casa::SingleDishMS::set_flag_to_cube	(	Cube< Bool > &	flag_cube,
		size_t const	row,
		size_t const	plane,
		size_t const	num_flag,
		bool	in_flag[]
	)			`[private]`

set a flag at the row and plane (polarization) to flag cube

template<typename T , typename U >

void casa::SingleDishMS::set_matrix_for_bltable	(	size_t const	num_pol,
		size_t const	num_data_max,
		std::vector< std::vector< T > > const &	in_data,
		Array< U > &	out_data
	)			`[inline, private]`

Definition at line 259 of file SingleDishMS.h.

References num_data.

void casa::SingleDishMS::set_spectrum_to_cube	(	Cube< Float > &	data_cube,
		size_t const	row,
		size_t const	plane,
		size_t const	num_data,
		float	in_data[]
	)			`[private]`

set a spectrum at the row and plane (polarization) to data cube

void casa::SingleDishMS::setAverage	(	Record const &	average,
		bool const	verbose = `true`
	)

void casa::SingleDishMS::setSelection	(	Record const &	selection,
		bool const	verbose = `true`
	)

void casa::SingleDishMS::smooth	(	string const &	kernelType,
		float const	kernelWidth,
		string const &	columnName,
		string const &	outMsName
	)

smooth data with arbitrary smoothing kernel smoothing kernels currently supported include gaussian and boxcar

void casa::SingleDishMS::split_bloutputname ( string str ) [private]

split the name

std::vector<string> casa::SingleDishMS::split_string	(	string const &	s,
		char	delim
	)			`[private]`

Split a string with given delimiter.

vector<int> casa::SingleDishMS::string_to_list	(	string const &	wn_str,
		char const	delim
	)			`[private]`

void casa::SingleDishMS::subtractBaseline	(	string const &	in_column_name,
		string const &	out_ms_name,
		string const &	out_bloutput_name,
		bool const &	do_subtract,
		string const &	in_spw,
		string const &	blfunc,
		int const	order,
		float const	clip_threshold_sigma,
		int const	num_fitting_max,
		bool const	linefinding,
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge
	)

Invoke baseline subtraction (polynomial, write results in new MS).

void casa::SingleDishMS::subtractBaselineCspline	(	string const &	in_column_name,
		string const &	out_ms_name,
		string const &	out_bloutput_name,
		bool const &	do_subtract,
		string const &	in_spw,
		int const	npiece,
		float const	clip_threshold_sigma,
		int const	num_fitting_max,
		bool const	linefinding,
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge
	)

Cubicspline.

void casa::SingleDishMS::subtractBaselineSinusoid	(	string const &	in_column_name,
		string const &	out_ms_name,
		string const &	out_bloutput_name,
		bool const &	do_subtract,
		string const &	in_spw,
		string const &	addwn0,
		string const &	rejwn0,
		bool const	applyfft,
		string const	fftmethod,
		string const	fftthresh,
		float const	clip_threshold_sigma,
		int const	num_fitting_max,
		bool const	linefinding,
		float const	threshold,
		int const	avg_limit,
		int const	minwidth,
		vector< int > const &	edge
	)

Sinusoid.

void casa::SingleDishMS::subtractBaselineVariable	(	string const &	in_column_name,
		string const &	out_ms_name,
		string const &	out_bloutput_name,
		bool const &	do_subtract,
		string const &	in_spw,
		string const &	param_file
	)