lsst.ip.isr.fringe Namespace Reference

Classes
class	FringeConfig
class	FringeStatisticsConfig
class	FringeTask

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

Variables
	frame

Function Documentation

getFrame()

lsst.ip.isr.fringe.getFrame

(

)

Produce a new frame number each time

Definition at line 39 of file fringe.py.

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

measure()

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 456 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()

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

Select values within 'clip' standard deviations of the median

Returns a boolean array.

Definition at line 482 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()

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 472 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)
 
 

Variable Documentation

frame

lsst.ip.isr.fringe.frame

Definition at line 45 of file fringe.py.