lsst.jointcal g15c59248fb+a44ecade4b
|
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.