QuickFrameMeasurementTaskConfig#

class lsst.pipe.tasks.quickFrameMeasurement.QuickFrameMeasurementTaskConfig(*args, **kw)#

Config class for the QuickFrameMeasurementTask.

Attributes Summary

`centroidPixelPercentile`	The image's percentile value which the centroid must be greater than to pass the final peak check.
`doCheckCentroidPixelValue`	Check that the centroid found is actually in the centroidPixelPercentile percentile of the image? Set to False for donut images.
`doExtendednessCut`	Apply the extendeness cut, as definted by maxExtendedness (`bool`, default `False`)
`donutDiameter`	The expected diameter of donuts in a donut image, in pixels.
`initialPsfWidth`	Guess at the initial PSF FWHM in pixels.
`installPsf`	Task for installing an initial PSF (`ConfigurableInstance`, default `<class 'lsst.meas.algorithms.installGaussianPsf.InstallGaussianPsfConfig'>`)
`maxExtendedness`	Max absolute value of xx and yy above which to cut, in order to exclude large/things (`float`, default `100`)
`maxNonRoundness`	Ratio of xx to yy (or vice versa) above which to cut, in order to exclude spectra (`float`, default `5.0`)
`nPixMinDetection`	Minimum number of pixels in a detected source.
`nSigmaDetection`	Number of sigma for the detection limit.

Methods Summary

Subclass hook for computing defaults.

Attributes Documentation

centroidPixelPercentile#: The image’s percentile value which the centroid must be greater than to pass the final peak check. Ignored if doCheckCentroidPixelValue is False (float, default 90)

doCheckCentroidPixelValue#: Check that the centroid found is actually in the centroidPixelPercentile percentile of the image? Set to False for donut images. (bool, default True)

doExtendednessCut#: Apply the extendeness cut, as definted by maxExtendedness (bool, default False)

donutDiameter#: The expected diameter of donuts in a donut image, in pixels. (int, default 400)

initialPsfWidth#: Guess at the initial PSF FWHM in pixels. (float, default 10)

installPsf#: Task for installing an initial PSF (ConfigurableInstance, default <class 'lsst.meas.algorithms.installGaussianPsf.InstallGaussianPsfConfig'>)

maxExtendedness#: Max absolute value of xx and yy above which to cut, in order to exclude large/things (float, default 100)

maxNonRoundness#: Ratio of xx to yy (or vice versa) above which to cut, in order to exclude spectra (float, default 5.0)

nPixMinDetection#: Minimum number of pixels in a detected source. (int, default 10)

nSigmaDetection#: Number of sigma for the detection limit. (float, default 20)

Methods Documentation

setDefaults()#: Subclass hook for computing defaults.

Notes#

Derived Config classes that must compute defaults rather than using the Field instances’s defaults should do so here. To correctly use inherited defaults, implementations of setDefaults must call their base class’s setDefaults.

Notes#