PhotoCalTask¶
Python API summary¶
from lsst.pipe.tasks.photoCal import PhotoCalTask
-
class
PhotoCalTask ! @anchor PhotoCalTask_
...
-
attribute
config Access configuration fields and retargetable subtasks.
-
method
run !Do photometric calibration - select matches to use and (possibly iteratively) compute the zero point
...
See also
See the PhotoCalTask API reference for complete details.
Retargetable subtasks¶
reserve¶
- Default
lsst.meas.algorithms.reserveSourcesTask.ReserveSourcesTask- Field type
ConfigurableField
Reserve sources from fitting
Configuration fields¶
applyColorTerms¶
- Default
None- Field type
boolField(optional)
Apply photometric color terms to reference stars? One of: None: apply if colorterms and photoCatName are not None;
fail if color term data is not available for the specified ref catalog and filter.
- True: always apply colorterms; fail if color term data is not available for the
- specified reference catalog and filter.
False: do not apply.
colorterms¶
- Data type
lsst.pipe.tasks.colorterms.ColortermLibrary- Field type
ConfigField
Library of photometric reference catalog name: color term dict
fluxField¶
- Default
'slot_CalibFlux_instFlux'- Field type
strField
Name of the source instFlux field to use. The associated flag field
(‘<name>_flags’) will be implicitly included in badFlags.
magErrFloor¶
- Default
0.0- Field type
floatRangeField- Range
- [0.0,inf)
Additional magnitude uncertainty to be added in quadrature with measurement errors.
match¶
- Data type
lsst.meas.astrom.directMatch.DirectMatchConfigWithoutLoader- Field type
ConfigField
Match to reference catalog