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
- 
class
(**kwargs)CalibCombineByFilterTask Task to combine calib exposures
...
- 
attribute
config Access configuration fields and retargetable subtasks.
- 
method
(inputExpHandles, inputScales=None, inputDims=None)run Combine calib exposures for a single detector
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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
 strChoiceField(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
 strChoiceField(optional)- Choices
 'DETECTOR'- Scale by detector.
 'AMP'- Scale by amplifier.
 None- Field is optional
 
Region to scale.