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
(inputExps, inputScales=None, inputDims=None)run
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.