lsst.jointcal
21.0.0-16-g4bab731+618f2d93b3
|
Classes | |
class | JointcalRunner |
class | JointcalTaskConnections |
class | JointcalConfig |
class | JointcalInputData |
class | JointcalTask |
Functions | |
def | add_measurement (job, name, value) |
def | lookupStaticCalibrations (datasetType, registry, quantumDataId, collections) |
def | lookupVisitRefCats (datasetType, registry, quantumDataId, collections) |
def | writeModel (model, filename, 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 59 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 141 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 181 of file jointcal.py.
def lsst.jointcal.jointcal.writeModel | ( | model, | |
filename, | |||
log | |||
) |
Write model to outfile.
Definition at line 556 of file jointcal.py.
lsst.jointcal.jointcal.Astrometry = collections.namedtuple('Astrometry', ('fit', 'model', 'sky_to_tan_projection')) |
Definition at line 55 of file jointcal.py.
lsst.jointcal.jointcal.Photometry = collections.namedtuple('Photometry', ('fit', 'model')) |
Definition at line 54 of file jointcal.py.