lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitConnections Class Reference

Inheritance diagram for lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitConnections:

Public Member Functions
	adjustQuantum (self, inputs, outputs, label, data_id)

Static Public Attributes
	cat_output
	cat_ref
	cats_meas
	coadds
	coadds_cell
	backgrounds
	models_psf
	models_scarlet

Detailed Description

Definition at line 220 of file fit_coadd_multiband.py.

Member Function Documentation

adjustQuantum()

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.adjustQuantum ( self, inputs, outputs, label, data_id )

inherited

Validates the `lsst.daf.butler.DatasetRef` bands against the
subtask's list of bands to fit and drops unnecessary bands.

Parameters
----------
inputs : `dict`
    Dictionary whose keys are an input (regular or prerequisite)
    connection name and whose values are a tuple of the connection
    instance and a collection of associated `DatasetRef` objects.
    The exact type of the nested collections is unspecified; it can be
    assumed to be multi-pass iterable and support `len` and ``in``, but
    it should not be mutated in place.  In contrast, the outer
    dictionaries are guaranteed to be temporary copies that are true
    `dict` instances, and hence may be modified and even returned; this
    is especially useful for delegating to `super` (see notes below).
outputs : `Mapping`
    Mapping of output datasets, with the same structure as ``inputs``.
label : `str`
    Label for this task in the pipeline (should be used in all
    diagnostic messages).
data_id : `lsst.daf.butler.DataCoordinate`
    Data ID for this quantum in the pipeline (should be used in all
    diagnostic messages).

Returns
-------
adjusted_inputs : `Mapping`
    Mapping of the same form as ``inputs`` with updated containers of
    input `DatasetRef` objects.  All inputs involving the 'band'
    dimension are adjusted to put them in consistent order and remove
    unneeded bands.
adjusted_outputs : `Mapping`
    Mapping of updated output datasets; always empty for this task.

Raises
------
lsst.pipe.base.NoWorkFound
    Raised if there are not enough of the right bands to run the task
    on this quantum.

Definition at line 112 of file fit_coadd_multiband.py.

Member Data Documentation

backgrounds

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.backgrounds

staticinherited

Initial value:

=  cT.Input(
        doc="Background models to subtract from the coadds_cell",
        name="{name_coadd}Coadd_calexp_background",
        storageClass="Background",
        dimensions=("tract", "patch", "band", "skymap"),
        multiple=True,
    )

Definition at line 89 of file fit_coadd_multiband.py.

cat_output

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitConnections.cat_output

static

Initial value:

=  cT.Output(
        doc="Output source model fit parameter catalog",
        name="{name_coadd}Coadd_{name_table}_{name_method}",
        storageClass="ArrowTable",
        dimensions=("tract", "patch", "skymap"),
    )

Definition at line 221 of file fit_coadd_multiband.py.

cat_ref

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.cat_ref

staticinherited

Initial value:

=  cT.Input(
        doc="Reference multiband source catalog",
        name="{name_coadd}Coadd_ref",
        storageClass="SourceCatalog",
        dimensions=("tract", "patch", "skymap"),
    )

Definition at line 62 of file fit_coadd_multiband.py.

cats_meas

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.cats_meas

staticinherited

Initial value:

=  cT.Input(
        doc="Deblended single-band source catalogs",
        name="{name_coadd}Coadd_meas",
        storageClass="SourceCatalog",
        dimensions=("tract", "patch", "band", "skymap"),
        multiple=True,
    )

Definition at line 68 of file fit_coadd_multiband.py.

coadds

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.coadds

staticinherited

Initial value:

=  cT.Input(
        doc="Exposures on which to run fits",
        name="{name_coadd}Coadd_calexp",
        storageClass="ExposureF",
        dimensions=("tract", "patch", "band", "skymap"),
        multiple=True,
    )

Definition at line 75 of file fit_coadd_multiband.py.

coadds_cell

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.coadds_cell

staticinherited

Initial value:

=  cT.Input(
        doc="Cell-coadd exposures on which to run fits",
        name="{name_coadd}CoaddCell",
        storageClass="MultipleCellCoadd",
        dimensions=("tract", "patch", "band", "skymap"),
        multiple=True,
    )

Definition at line 82 of file fit_coadd_multiband.py.

models_psf

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.models_psf

staticinherited

Initial value:

=  cT.Input(
        doc="Input PSF model parameter catalog",
        # Consider allowing independent psf fit method
        name="{name_coadd}Coadd_psfs_{name_method}",
        storageClass="ArrowAstropy",
        dimensions=("tract", "patch", "band", "skymap"),
        multiple=True,
        deferLoad=True,
    )

Definition at line 96 of file fit_coadd_multiband.py.

models_scarlet

lsst.pipe.tasks.fit_coadd_multiband.CoaddMultibandFitInputConnections.models_scarlet

staticinherited

Initial value:

=  pipeBase.connectionTypes.Input(
        doc="Multiband scarlet models produced by the deblender",
        name="{name_coadd}Coadd_scarletModelData",
        storageClass="LsstScarletModelData",
        dimensions=("tract", "patch", "skymap"),
    )

Definition at line 105 of file fit_coadd_multiband.py.

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The documentation for this class was generated from the following file:

• python/lsst/pipe/tasks/fit_coadd_multiband.py