lsst.ip.isr.fringe Namespace Reference

Classes
class	FringeConfig
class	FringeStatisticsConfig
class	FringeTask

Functions
def	getFrame ()
def	measure (mi, x, y, size, statistic, stats)
def	stdev (vector)
def	select (vector, clip)

Function Documentation

getFrame()

def lsst.ip.isr.fringe.getFrame

(

)

Produce a new frame number each time

Definition at line 35 of file fringe.py.

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


getFrame.frame = 0

measure()

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 473 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 = lsst.geom.Box2I(lsst.geom.Point2I(int(x) - size, int(y - size)),
                           lsst.geom.Extent2I(2*size, 2*size))
    subImage = mi.Factory(mi, bbox, afwImage.LOCAL)
    return afwMath.makeStatistics(subImage, statistic, stats).getValue()

select()

def lsst.ip.isr.fringe.select	(		vector,
			clip
	)

Select values within 'clip' standard deviations of the median

Returns a boolean array.

Definition at line 499 of file fringe.py.

def select(vector, clip):
    """Select values within 'clip' standard deviations of the median

    Returns a boolean array.
    """
    q1, q2, q3 = numpy.percentile(vector, (25, 50, 75))
    return numpy.abs(vector - q2) < clip*0.74*(q3 - q1)

stdev()

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 489 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
    """
    q1, q3 = numpy.percentile(vector, (25, 75))
    return 0.74*(q3 - q1)

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