GetDcrTemplateConfig#
- class lsst.ip.diffim.GetDcrTemplateConfig(*args, **kw)#
Bases:
GetTemplateConfigConfig for GetDcrTemplateTask.
Only
output_image_type="legacy"is supported: the task always writes anlsst.afw.image.ExposureF.Attributes Summary
Bandwidth of the physical filter.
Configuration for CoaddPsf (
CoaddPsfConfig, default<class 'lsst.meas.algorithms.CoaddPsfConfig'>)Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
Scale variance of the template image? (
bool, defaultTrue)Effective wavelength of the filter in nm.
Fractional buffer margin to be left out of all sides of the image during construction of grid to compute average PSF FWHM in an exposure (
float, default0.05)Grid size to compute the average PSF FWHM in an exposure (pixels) (
int, default10)Minimum fraction of unmasked pixels needed to set the HIGH_VARIANCE mask plane.
Set the HIGH_VARIANCE mask plane for regions with variance greater than the median by this factor.
Number of subfilters in the DcrCoadd.
Which image type to use for the output template.
Raise if the template has pixels set in a mask plane that
lsst.imagesdoes not map? If False, log a warning and drop that plane from the output instead.If True, include the coadd dataset existence in the initial butler query during QuantumGraph generation.
Flag to enable/disable saving of log output for a task, enabled by default.
Subtask to rescale the variance of the template to the statistically expected level.
Number of pixels to grow the requested template image to account for warping (
int, default20)Task to estimate the background variance.
warper configuration (
WarperConfig, default<class 'lsst.afw.math._warper.WarperConfig'>)Methods Summary
validate()Validate the Config, raising an exception if invalid.
Attributes Documentation
- bandwidth#
Bandwidth of the physical filter. (
float)
- 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, defaultTrue)
- effectiveWavelength#
Effective wavelength of the filter in nm. (
float)
- fwhmExposureBuffer#
Fractional buffer margin to be left out of all sides of the image during construction of grid to compute average PSF FWHM in an exposure (
float, default0.05)
- fwhmExposureGrid#
Grid size to compute the average PSF FWHM in an exposure (pixels) (
int, default10)
- highVarianceMaskFraction#
Minimum fraction of unmasked pixels needed to set the HIGH_VARIANCE mask plane. (
float, default0.1)
- highVarianceThreshold#
Set the HIGH_VARIANCE mask plane for regions with variance greater than the median by this factor. (
float, default4)Valid Range = [1,inf)
- numSubfilters#
Number of subfilters in the DcrCoadd. (
int, default3)
- output_image_type#
Which image type to use for the output template. (
str, default'legacy')Allowed values:
'legacy'Write as a lsst.afw.image.ExposureF.
'future'Write as a lsst.images.DifferenceImage.
- raiseOnUndefinedMaskMap#
Raise if the template has pixels set in a mask plane that
lsst.imagesdoes not map? If False, log a warning and drop that plane from the output instead. Only used with output_image_type=’future’. (bool, defaultFalse)
- requireCoaddAtGraphBuild#
If True, include the coadd dataset existence in the initial butler query during QuantumGraph generation. (
bool, defaultFalse)
- saveLogOutput#
Flag to enable/disable saving of log output for a task, enabled by default. (
bool, defaultTrue)
- 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, default20)
- 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
- validate()#
Validate the Config, raising an exception if invalid.
Raises#
- lsst.pex.config.FieldValidationError
Raised if verification fails.
Notes#
The base class implementation performs type checks on all fields by calling their
validatemethods.Complex single-field validation can be defined by deriving new Field types. For convenience, some derived
lsst.pex.config.Field-types (ConfigFieldandConfigChoiceField) are defined inlsst.pex.configthat handle recursing into subconfigs.Inter-field relationships should only be checked in derived
Configclasses after calling this method, and base validation is complete.