PhotoCalTask¶
Python API summary¶
from lsst.pipe.tasks.photoCal import PhotoCalTask
-
class
PhotoCalTask
(refObjLoader=None, schema=None, **kwds) Calculate an Exposure’s zero-point given a set of flux measurements of stars matched to an input catalogue
...
- attributeconfig
Access configuration fields and retargetable subtasks.
-
method
run
(exposure, sourceCat, expId=0) Do photometric calibration - select matches to use and (possibly iteratively) compute the zero point
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See also
See the PhotoCalTask
API reference for complete details.
Retargetable subtasks¶
reserve¶
Reserve sources from fitting
Configuration fields¶
applyColorTerms¶
colorterms¶
- Data type
- Field type
Library of photometric reference catalog name: color term dict (see also applyColorTerms).
fluxField¶
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
- 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
Match to reference catalog
nIter¶
number of iterations
nSigma¶
clip at nSigma
photoCatName¶
Name of photometric reference catalog; used to select a color term dict in colorterms. See also applyColorTerms.
sigmaMax¶
maximum sigma to use when clipping
useMedian¶
use median instead of mean to compute zeropoint