lsst::meas::algorithms::interp Namespace Reference

Functions
template<typename MaskedImageT>
std::pair< bool, typename MaskedImageT::Image::Pixel >	singlePixel (int x, int y, MaskedImageT const &image, bool horizontal, double minval)
	Return a boolean status (true: interpolation is OK) and the interpolated value for a pixel, ignoring pixels given by badmask.
	interpolateOverDefects (image, psf, badList, fallbackValue=0.0, useFallbackValueAtEdge=False, fwhm=1.0, useLegacyInterp=True, maskNameList=None, **kwargs)

Variables
double const	lpc_1_c1 = 0.7737
	LPC coefficients for sigma = 1, S/N = infty.
double const	lpc_1_c2 = -0.2737
double const	lpc_1s2_c1 = 0.7358
	LPC coefficients for sigma = 1/sqrt(2), S/N = infty.
double const	lpc_1s2_c2 = -0.2358
double const	min2GaussianBias = -0.5641895835
	Mean value of the minimum of two N(0,1) variates.

Function Documentation

interpolateOverDefects()

lsst.meas.algorithms.interp.interpolateOverDefects	(		image,
			psf,
			badList,
			fallbackValue = 0.0,
			useFallbackValueAtEdge = False,
			fwhm = 1.0,
			useLegacyInterp = True,
			maskNameList = None,
		**	kwargs )

Definition at line 7 of file interp.py.

singlePixel()

template<typename MaskedImageT>

std::pair< bool, typename MaskedImageT::Image::Pixel > lsst::meas::algorithms::interp::singlePixel	(	int	x,
		int	y,
		MaskedImageT const &	image,
		bool	horizontal,
		double	minval )

Return a boolean status (true: interpolation is OK) and the interpolated value for a pixel, ignoring pixels given by badmask.

Interpolation can either be vertical or horizontal

Note

: This is a pretty expensive routine, so use only after suitable thought.

Parameters

x	x: column coordinate of the pixel in question
y	y: row coordinate of the pixel in question
image	image: in this image
horizontal	horizontal: interpolate horizontally?
minval	minval: minimum acceptable value

Definition at line 2125 of file Interp.cc.

Variable Documentation

lpc_1_c1

double const lsst::meas::algorithms::interp::lpc_1_c1 = 0.7737

LPC coefficients for sigma = 1, S/N = infty.

Definition at line 51 of file Interp.h.

lpc_1_c2

double const lsst::meas::algorithms::interp::lpc_1_c2 = -0.2737

Definition at line 52 of file Interp.h.

lpc_1s2_c1

double const lsst::meas::algorithms::interp::lpc_1s2_c1 = 0.7358

LPC coefficients for sigma = 1/sqrt(2), S/N = infty.

These are the coeffs to use when interpolating at 45degrees to the row/column

Definition at line 57 of file Interp.h.

lpc_1s2_c2

double const lsst::meas::algorithms::interp::lpc_1s2_c2 = -0.2358

Definition at line 58 of file Interp.h.

min2GaussianBias

double const lsst::meas::algorithms::interp::min2GaussianBias = -0.5641895835

Mean value of the minimum of two N(0,1) variates.

Definition at line 62 of file Interp.h.