ObjectSizeStarSelectorTask¶
ObjectSizeStarSelectorTask
selects likely stars by looking for a cluster of small objects in a size-magnitude plot.
Python API summary¶
from lsst.meas.algorithms.objectSizeStarSelector import ObjectSizeStarSelectorTask
-
class
(**kwargs)ObjectSizeStarSelectorTask
A star selector that looks for a cluster of small objects in a size-magnitude plot
...
-
attribute
config
Access configuration fields and retargetable subtasks.
-
method
(sourceCat, sourceSelectedField=None, matches=None, exposure=None)run
Select sources and return them
...
See also
See the ObjectSizeStarSelectorTask
API reference for complete details.
Retargetable subtasks¶
No subtasks.
Configuration fields¶
badFlags¶
- Default
['base_PixelFlags_flag_edge', 'base_PixelFlags_flag_interpolatedCenter', 'base_PixelFlags_flag_saturatedCenter', 'base_PixelFlags_flag_crCenter', 'base_PixelFlags_flag_bad', 'base_PixelFlags_flag_interpolated']
- Field type
str
ListField
List of flags which cause a source to be rejected as bad
doSignalToNoiseLimit¶
Apply signal-to-noise (i.e. flux/fluxErr) limit to Psf Candidate selection?
fluxMax¶
specify the maximum psfFlux for good Psf Candidates (ignored if == 0)
nSigmaClip¶
Keep objects within this many sigma of cluster 0’s median
signalToNoiseMax¶
specify the maximum signal-to-noise for good Psf Candidates (ignored if == 0)
signalToNoiseMin¶
specify the minimum signal-to-noise for good Psf Candidates (value should take into consideration the detection thresholds set for the catalog of interest)
sourceFluxField¶
Name of field in Source to use for flux measurement
Debugging¶
ObjectSizeStarSelectorTask has a debug dictionary with the following boolean keys:
- display
- bool; if True display debug information
- displayExpsoure
- bool; if True display the exposure and spatial cells
- plotMagSize
- bool; if True display the magnitude-size relation using matplotlib
- dumpData
- bool; if True dump data to a pickle file
More information can be found in lsstDebug
.