GetTemplateConfig#

class lsst.ip.diffim.GetTemplateConfig(*args, **kw)#

Attributes Summary

`coaddPsf`	Configuration for CoaddPsf (`CoaddPsfConfig`, default `<class 'lsst.meas.algorithms.CoaddPsfConfig'>`)
`connections`	Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
`doScaleVariance`	Scale variance of the template image? (`bool`, default `True`)
`highVarianceMaskFraction`	Minimum fraction of unmasked pixels needed to set the HIGH_VARIANCE mask plane.
`highVarianceThreshold`	Set the HIGH_VARIANCE mask plane for regions with variance greater than the median by this factor.
`requireCoaddAtGraphBuild`	If True, include the coadd dataset existence in the initial butler query during QuantumGraph generation.
`saveLogOutput`	Flag to enable/disable saving of log output for a task, enabled by default.
`scaleVariance`	Subtask to rescale the variance of the template to the statistically expected level.
`templateBorderSize`	Number of pixels to grow the requested template image to account for warping (`int`, default `20`)
`varianceBackground`	Task to estimate the background variance.
`warp`	warper configuration (`WarperConfig`, default `<class 'lsst.afw.math._warper.WarperConfig'>`)

Methods Summary

Subclass hook for computing defaults.

Attributes Documentation

coaddPsf#: Configuration for CoaddPsf (CoaddPsfConfig, default <class 'lsst.meas.algorithms.CoaddPsfConfig'>)

connections: pexConfig.ConfigField#: Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.

doScaleVariance#: Scale variance of the template image? (bool, default True)

highVarianceMaskFraction#: Minimum fraction of unmasked pixels needed to set the HIGH_VARIANCE mask plane. (float, default 0.1)

highVarianceThreshold#

Set the HIGH_VARIANCE mask plane for regions with variance greater than the median by this factor. (float, default 4)

Valid Range = [1,inf)

requireCoaddAtGraphBuild#: If True, include the coadd dataset existence in the initial butler query during QuantumGraph generation. (bool, default False)

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

scaleVariance#: Subtask to rescale the variance of the template to the statistically expected level. (ConfigurableInstance, default <class 'lsst.meas.algorithms.scaleVariance.ScaleVarianceConfig'>)

templateBorderSize#: Number of pixels to grow the requested template image to account for warping (int, default 20)

varianceBackground#: Task to estimate the background variance. (ConfigurableInstance, default <class 'lsst.meas.algorithms.subtractBackground.SubtractBackgroundConfig'>)

warp#: warper configuration (WarperConfig, default <class 'lsst.afw.math._warper.WarperConfig'>)

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#