lsst.meas.astrom.sip.cleanBadPoints Namespace Reference

Functions
def	clean (srcMatch, wcs, order=3, nsigma=3)
def	indicesOfGoodPoints (x, y, s, order=1, nsigma=3, maxiter=100)
def	chooseRx (x, idx, order)
def	chooseRy (y, idx, order)

Function Documentation

chooseRx()

def lsst.meas.astrom.sip.cleanBadPoints.chooseRx	(		x,
			idx,
			order
	)

Create order+1 values of the ordinate based on the median of groups of elements of x

Definition at line 108 of file cleanBadPoints.py.

chooseRy()

def lsst.meas.astrom.sip.cleanBadPoints.chooseRy	(		y,
			idx,
			order
	)

Create order+1 values of the ordinate based on the median of groups of elements of y

Definition at line 119 of file cleanBadPoints.py.

clean()

def lsst.meas.astrom.sip.cleanBadPoints.clean	(		srcMatch,
			wcs,
			order = 3,
			nsigma = 3
	)

Remove bad points from srcMatch

Input:
srcMatch : list of det::SourceMatch
order:      Order of polynomial to use in robust fitting
nsigma:    Sources more than this far away from the robust best fit
            polynomial are removed

Return:
list of det::SourceMatch of the good data points

Definition at line 31 of file cleanBadPoints.py.

indicesOfGoodPoints()

def lsst.meas.astrom.sip.cleanBadPoints.indicesOfGoodPoints	(		x,
			y,
			s,
			order = 1,
			nsigma = 3,
			maxiter = 100
	)

Return a list of indices in the range [0, len(x)]
of points that lie less than nsigma away from the robust
best fit polynomial

Definition at line 66 of file cleanBadPoints.py.