PeakFinder

class sofia_redux.instruments.forcast.peakfind.PeakFinder(image, reference=None, npeaks=4, fwhm=4.5, sharplo=0.2, sharphi=1.0, roundlo=-0.75, roundhi=0.75, silent=False, maxiter=1000, epsilon=5, eps=1e-07, ncut=30, chopnoddist=None, refine=True, positive=False, smooth=True)

Bases: object

Configure and run peak finding algorithm.

Attributes Summary

sigma

Methods Summary

chopnod_sort(table)	Select peaks that follow a particular pattern for merge
findpeaks()
print(message)
refine_table(image, table)	Refine table contents with a fit on the image
search_peaks(image)	Initial search for peaks in the image

Attributes Documentation

sigma

Methods Documentation

chopnod_sort(table)

Select peaks that follow a particular pattern for merge

The table passed in will be cut in place.

Parameters:

tableastropy.table.Table

findpeaks()

print(message)

refine_table(image, table)

Refine table contents with a fit on the image

The table is modified in place.

Parameters:

imagenp.ndarray

tableastropy.table.Table

search_peaks(image)

Initial search for peaks in the image

Parameters:

imagenumpy.ndarray

Returns:

astropy.table.Table