LSSTApplications: lsst.ip.isr.fringe Namespace Reference

Classes
class	FringeStatisticsConfig

class	FringeConfig

class	FringeTask

Functions
def	getFrame

def	measure

def	stdev

Function Documentation

def lsst.ip.isr.fringe.getFrame ( )

Produce a new frame number each time

Definition at line 34 of file fringe.py.

 
 def getFrame():
     """Produce a new frame number each time"""
     getFrame.frame += 1
     return getFrame.frame
 getFrame.frame = 0

lsst::ip::isr.fringe.getFrame

def getFrame

Definition: fringe.py:34

def lsst.ip.isr.fringe.measure	(	mi,
		x,
		y,
		size,
		statistic,
		stats
	)

Measure a statistic within an aperture

@param mi          MaskedImage to measure
@param x, y        Center for aperture
@param size        Size of aperture
@param statistic   Statistic to measure
@param stats       StatisticsControl object
@return Value of statistic within aperture

Definition at line 325 of file fringe.py.

 
 def measure(mi, x, y, size, statistic, stats):
     """Measure a statistic within an aperture
 
     @param mi          MaskedImage to measure
     @param x, y        Center for aperture
     @param size        Size of aperture
     @param statistic   Statistic to measure
     @param stats       StatisticsControl object
     @return Value of statistic within aperture
     """
     bbox = afwGeom.Box2I(afwGeom.Point2I(int(x) - size, int(y - size)), afwGeom.Extent2I(2*size, 2*size))
     subImage = mi.Factory(mi, bbox, afwImage.LOCAL)
     return afwMath.makeStatistics(subImage, statistic, stats).getValue()

lsst.afw.geom::Extent< int, 2 >

lsst.afw.geom::Point< int, 2 >

lsst.afw.geom::Box2I

An integer coordinate rectangle.

Definition: Box.h:53

lsst::ip::isr.fringe.measure

def measure

Definition: fringe.py:325

lsst.afw.math::makeStatistics

Statistics makeStatistics(afwImage::Mask< afwImage::MaskPixel > const &msk, int const flags, StatisticsControl const &sctrl)

Specialization to handle Masks.

Definition: Statistics.cc:1082

def lsst.ip.isr.fringe.stdev ( vector )

Calculate a robust standard deviation of an array of values

@param vector  Array of values
@return Standard deviation

Definition at line 339 of file fringe.py.

 
 def stdev(vector):
     """Calculate a robust standard deviation of an array of values
 
     @param vector  Array of values
     @return Standard deviation
     """
     num = len(vector)
     vector = vector.copy()
     vector.sort()
     return 0.74 * (vector[int(0.75 * num)] - vector[int(0.25 * num)])
 

Classes

Functions

Function Documentation