CpSpectroFlatTaskConfig

class lsst.cp.pipe.CpSpectroFlatTaskConfig(*args, **kw)

Bases: PipelineTaskConfig

Configuration parameters for constructing spectroFlat from a white-band flat.

Attributes Summary

applyGainDirection	Should flat be divided by the gains? (bool, default True)
backgroundBoxSize	Size of background super-pixel.
backgroundFilterSize	Size of smoothing filter for backgrounds.
backgroundSigmaClipThreshold	Backgroud sigma clip threshold.
connections	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
doBackgroundRemoval	Should amplifier backgrounds be measured and divided out? (bool, default True)
inputFlatPhysicalFilter	Physical filter to expect in inputFlat.
saveLogOutput	Flag to enable/disable saving of log output for a task, enabled by default.
scaleGainsByMean	Scale gains by the mean? (bool, default True)
smoothingAlgorithm	Method to use to smooth amplifiers.
smoothingMode	Filter mode/downstream.
smoothingOutlierPercentile	Percentile of extreme values to clip from top and bottom of distribution.
smoothingWindowSize	Size of smoothing window.

Attributes Documentation

applyGainDirection

Should flat be divided by the gains? (bool, default True)

backgroundBoxSize

Size of background super-pixel. (int, default 20)

backgroundFilterSize

Size of smoothing filter for backgrounds. (int, default 3)

backgroundSigmaClipThreshold

Backgroud sigma clip threshold. (float, default 3.0)

connections: pexConfig.ConfigField

Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

doBackgroundRemoval

Should amplifier backgrounds be measured and divided out? (bool, default True)

inputFlatPhysicalFilter

Physical filter to expect in inputFlat. (str, default 'empty~empty')

saveLogOutput

Flag to enable/disable saving of log output for a task, enabled by default. (bool, default True)

scaleGainsByMean

Scale gains by the mean? (bool, default True)

smoothingAlgorithm

Method to use to smooth amplifiers. (str, default 'mean')

Allowed values:

'mean'

Use scipy uniform_filter

'gauss'

Use scipy gaussian_filter

'median'

Use scipy median_filter

'None'

Field is optional

smoothingMode

Filter mode/downstream. (str, default 'mirror')

smoothingOutlierPercentile

Percentile of extreme values to clip from top and bottom of distribution. (float, default 1.0)

smoothingWindowSize

Size of smoothing window. (int, default 40)