ScienceSourceSelectorTask¶
ScienceSourceSelectorTask
selects sources from images being processed by optionally applying magnitude limits, flag requirements and star/galaxy separation.
Python API summary¶
from lsst.meas.algorithms.sourceSelector import ScienceSourceSelectorTask
-
class
ScienceSourceSelectorTask
(**kwargs) Science source selector
...
- attributeconfig
Access configuration fields and retargetable subtasks.
-
method
run
(sourceCat, sourceSelectedField=None, matches=None, exposure=None) Select sources and return them
...
See also
See the ScienceSourceSelectorTask
API reference for complete details.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
doFlags¶
Apply flag limitation?
doFluxLimit¶
Apply flux limit?
doIsolated¶
Apply isolated limitation?
doRequireFiniteRaDec¶
Apply finite sky coordinate check?
doSignalToNoise¶
Apply signal-to-noise limit?
doUnresolved¶
Apply unresolved limitation?
flags¶
- Data type
lsst.meas.algorithms.sourceSelector.RequireFlags
- Field type
Flags to require
fluxLimit¶
- Data type
lsst.meas.algorithms.sourceSelector.FluxLimit
- Field type
Flux limit to apply
isolated¶
- Data type
lsst.meas.algorithms.sourceSelector.RequireIsolated
- Field type
Isolated criteria to apply
requireFiniteRaDec¶
- Data type
lsst.meas.algorithms.sourceSelector.RequireFiniteRaDec
- Field type
Finite sky coordinate criteria to apply
signalToNoise¶
- Data type
lsst.meas.algorithms.sourceSelector.SignalToNoiseLimit
- Field type
Signal-to-noise limit to apply
unresolved¶
- Data type
lsst.meas.algorithms.sourceSelector.RequireUnresolved
- Field type
Star/galaxy separation to apply