5.1.2.0 sd.scantable.poly_baseline

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sd.scantable.poly_baseline - Function

5.1.2 Perform a baseline subtraction using polynomial function
Description

Return a scan which has been baselined (all rows) by a polynomial.

If insitu is True, or insitu is None and sd.rcParams[’insitu’] is True, the method will not return the result, but apply operation on this scantable.

You can verify and decide whether you apply the fit result or not, if plot argument is True. In that case, you have to answer ’y’ or ’n’ for each spectra so that setting True is not recommended for large dataset.

This is an newer version of ??. The only difference between them is its performance. For larger dataset, it is recommended to use this method.

Arguments


Inputs
mask	An optional mask
	allowed:	bool array
	Default:	None
order	The order of the polynomial
	allowed:	integer
	Default:	0
insitu	If False a new scantable is returned
	allowed:	bool
	Default:	None (use default value)
plot	Plot the fit and the residual
	allowed:	bool
	Default:	False
getresidual	If False, return best-fit value instead of residual
	allowed:	bool
	Default:	True
showprogress	Show progress status for large data
	allowed:	bool
	Default:	True
minnrow	Minimum number of spectra to show progress status
	allowed:	integer
	Default:	1000
outlog	Output the coefficients of the best-fit function to logger
	allowed:	bool
	Default:	False
blfile	Name of text file in which the best-fit parameter values to be written
	allowed:	string
	Default:	”

Returns
scantable

Example

        scan = sd.scantable(’OrionS_rawACSmod_cal’)
        # return a scan baselined by a third order polynomial,
        # not using a mask
        bscan = scan.poly_baseline(order=3)

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