CalibCombineByFilterTask¶
CalibCombineByFilterTask is identical to lsst.cp.pipe.CalibCombineTask, with the addition of a filter dimension to ensure filter-dependent calibrations are constructed with the correct dataset dimensions.
Python API summary¶
from lsst.cp.pipe.cpCombine import CalibCombineByFilterTask
- 
classCalibCombineByFilterTask
- Task to combine calib exposures - ...
- 
attributeconfig
- Access configuration fields and retargetable subtasks. 
- 
methodrun
- Combine calib exposures for a single detector - ...
See also
See the CalibCombineByFilterTask API reference for complete details.
Retargetable subtasks¶
stats¶
- Default
- lsst.cp.pipe.cpCombine.CalibStatsTask
- Field type
- ConfigurableField
Background statistics configuration
Configuration fields¶
connections¶
- Data type
- lsst.pipe.base.config.Connections
- Field type
- ConfigField
Configurations describing the connections of the PipelineTask to datatypes
doVignette¶
Copy vignette polygon to output and censor vignetted pixels?
exposureScaling¶
- Default
- 'Unity'
- Field type
- str- ChoiceField(optional)
- Choices
- 'Unity'
- Do not scale inputs. Scale factor is 1.0.
- 'ExposureTime'
- Scale inputs by their exposure time.
- 'DarkTime'
- Scale inputs by their dark time.
- 'MeanStats'
- Scale inputs based on their mean values.
- 'InputList'
- Scale inputs based on a list of values.
- None
- Field is optional
 
Scaling to be applied to each input exposure.
maxVisitsToCalcErrorFromInputVariance¶
Maximum number of visits to estimate variance from input variance, not per-pixel spread
saveLogOutput¶
Flag to enable/disable saving of log output for a task, enabled by default.
saveMetadata¶
Flag to enable/disable metadata saving for a task, enabled by default.
scalingLevel¶
- Default
- 'DETECTOR'
- Field type
- str- ChoiceField(optional)
- Choices
- 'DETECTOR'
- Scale by detector.
- 'AMP'
- Scale by amplifier.
- None
- Field is optional
 
Region to scale.