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lsst.jointcal g890c0c842f+d0b0ceee8c
|
Classes | |
| class | JointcalConfig |
| class | JointcalInputData |
| class | JointcalRunner |
| class | JointcalTask |
| class | JointcalTaskConnections |
Functions | |
| def | add_measurement (job, name, value) |
| def | lookupStaticCalibrations (datasetType, registry, quantumDataId, collections) |
| def | lookupVisitRefCats (datasetType, registry, quantumDataId, collections) |
| def | writeModel (model, filename, log) |
| def | make_schema_table () |
| def | get_sourceTable_visit_columns (inColumns, config, sourceSelector) |
| def | extract_detector_catalog_from_visit_catalog (table, visitCatalog, detectorId, detectorColumn, ixxColumns, sourceFluxType, log) |
Variables | |
| Photometry = collections.namedtuple('Photometry', ('fit', 'model')) | |
| Astrometry = collections.namedtuple('Astrometry', ('fit', 'model', 'sky_to_tan_projection')) | |
| def lsst.jointcal.jointcal.add_measurement | ( | job, | |
| name, | |||
| value | |||
| ) |
Definition at line 60 of file jointcal.py.
| def lsst.jointcal.jointcal.extract_detector_catalog_from_visit_catalog | ( | table, | |
| visitCatalog, | |||
| detectorId, | |||
| detectorColumn, | |||
| ixxColumns, | |||
| sourceFluxType, | |||
| log | |||
| ) |
Return an afw SourceCatalog extracted from a visit-level dataframe,
limited to just one detector.
Parameters
----------
table : `lsst.afw.table.SourceTable`
Table factory to use to make the SourceCatalog that will be
populated with data from ``visitCatalog``.
visitCatalog : `pandas.DataFrame`
DataFrame to extract a detector catalog from.
detectorId : `int`
Numeric id of the detector to extract from ``visitCatalog``.
detectorColumn : `str`
Name of the detector column in the catalog.
ixxColumns : `list` [`str`]
Names of the ixx/iyy/ixy columns in the catalog.
sourceFluxType : `str`
Name of the catalog field to load instFluxes from.
log : `lsst.log.Log`
Logging instance to log to.
Returns
-------
catalog : `lsst.afw.table.SourceCatalog`, or `None`
Detector-level catalog extracted from ``visitCatalog``, or `None`
if there was no data to load.
Definition at line 1904 of file jointcal.py.
| def lsst.jointcal.jointcal.get_sourceTable_visit_columns | ( | inColumns, | |
| config, | |||
| sourceSelector | |||
| ) |
Get the sourceTable_visit columns to load from the catalogs.
Parameters
----------
inColumns : `list`
List of columns known to be available in the sourceTable_visit.
config : `JointcalConfig`
A filled-in config to to help define column names.
sourceSelector : `lsst.meas.algorithms.BaseSourceSelectorTask`
A configured source selector to define column names to load.
Returns
-------
columns : `list`
List of columns to read from sourceTable_visit.
detectorColumn : `str`
Name of the detector column.
ixxColumns : `list`
Name of the ixx/iyy/ixy columns.
Definition at line 1852 of file jointcal.py.
| def lsst.jointcal.jointcal.lookupStaticCalibrations | ( | datasetType, | |
| registry, | |||
| quantumDataId, | |||
| collections | |||
| ) |
Lookup function that asserts/hopes that a static calibration dataset
exists in a particular collection, since this task can't provide a single
date/time to use to search for one properly.
This is mostly useful for the ``camera`` dataset, in cases where the task's
quantum dimensions do *not* include something temporal, like ``exposure``
or ``visit``.
Parameters
----------
datasetType : `lsst.daf.butler.DatasetType`
Type of dataset being searched for.
registry : `lsst.daf.butler.Registry`
Data repository registry to search.
quantumDataId : `lsst.daf.butler.DataCoordinate`
Data ID of the quantum this camera should match.
collections : `Iterable` [ `str` ]
Collections that should be searched - but this lookup function works
by ignoring this in favor of a more-or-less hard-coded value.
Returns
-------
refs : `Iterator` [ `lsst.daf.butler.DatasetRef` ]
Iterator over dataset references; should have only one element.
Notes
-----
This implementation duplicates one in fgcmcal, and is at least quite
similar to another in cp_pipe. This duplicate has the most documentation.
Fixing this is DM-29661.
Definition at line 142 of file jointcal.py.
| def lsst.jointcal.jointcal.lookupVisitRefCats | ( | datasetType, | |
| registry, | |||
| quantumDataId, | |||
| collections | |||
| ) |
Lookup function that finds all refcats for all visits that overlap a
tract, rather than just the refcats that directly overlap the tract.
Parameters
----------
datasetType : `lsst.daf.butler.DatasetType`
Type of dataset being searched for.
registry : `lsst.daf.butler.Registry`
Data repository registry to search.
quantumDataId : `lsst.daf.butler.DataCoordinate`
Data ID of the quantum; expected to be something we can use as a
constraint to query for overlapping visits.
collections : `Iterable` [ `str` ]
Collections to search.
Returns
-------
refs : `Iterator` [ `lsst.daf.butler.DatasetRef` ]
Iterator over refcat references.
Definition at line 182 of file jointcal.py.
| def lsst.jointcal.jointcal.make_schema_table | ( | ) |
Return an afw SourceTable to use as a base for creating the
SourceCatalog to insert values from the dataFrame into.
Returns
-------
table : `lsst.afw.table.SourceTable`
Table with schema and slots to use to make SourceCatalogs.
Definition at line 1827 of file jointcal.py.
| def lsst.jointcal.jointcal.writeModel | ( | model, | |
| filename, | |||
| log | |||
| ) |
Write model to outfile.
Definition at line 632 of file jointcal.py.
| lsst.jointcal.jointcal.Astrometry = collections.namedtuple('Astrometry', ('fit', 'model', 'sky_to_tan_projection')) |
Definition at line 56 of file jointcal.py.
| lsst.jointcal.jointcal.Photometry = collections.namedtuple('Photometry', ('fit', 'model')) |
Definition at line 55 of file jointcal.py.