tsdfit – Fit a spectral line – single dish task

Description

Task tsdfit is a basic line-fitter for single-dish spectra. It assumes that the spectra have been calibrated in tsdcal or sdreduce.

Parameters

Title

Parameter	Default	Description
infile	''
datacolumn	'data'
antenna	''
field	''
spw	''
timerange	''
scan	''
pol	''
intent	''
fitfunc	'gaussian'	function for fitting ['gaussian', 'lorentzian']
fitmode	'list'	mode for setting additional channel masks. 'list' and 'auto' are available now.
nfit	numpy.array( [ int(0) ] )
thresh	float(5.0)
avg_limit	int(4)
minwidth	int(4)
edge	numpy.array( [ int(0),int(0) ] )
outfile	''
overwrite	False	overwrite the output file if already exists [True, False]
xstat	[ ]

Parameter Explanations

infile

''

name of input SD dataset

datacolumn

'data'

name of data column to be used ['data', 'float_data', or 'corrected_data']

antenna

''

select data by antenna name or ID, e.g. 'PM03'

field

''

select data by field IDs and names, e.g. '3C2*' (''=all)

spw

''

select data by IF IDs (spectral windows), e.g. '3,5,7' (''=all)

timerange

''

select data by time range, e.g. '09:14:0~09:54:0' (''=all) (see examples in help)

scan

''

select data by scan numbers, e.g. '21~23' (''=all)

pol

''

select data by polarization IDs, e.g. 'XX,YY' (''=all)

intent

''

select data by observational intent, e.g. 'ON_SOURCE' (''=all)

fitfunc

'gaussian'

function for fitting

fitmode

'list'

mode for setting additional channel masks.

nfit

numpy.array( [ int(0) ] )

list of number of lines to fit in maskline region.

thresh

float(5.0)

S/N threshold for linefinder

avg_limit

int(4)

channel averaging for broad lines

minwidth

int(4)

the minimum channel width to detect as a line

edge

numpy.array( [ int(0),int(0) ] )

channels to drop at beginning and end of spectrum

outfile

''

name of output file

overwrite

False

overwrite the output file if already exists

xstat

[ ]

RETURN ONLY: a Python dictionary of line statistics