FinalizeCharacterizationTask¶

class lsst.pipe.tasks.finalizeCharacterization.FinalizeCharacterizationTask(initInputs=None, **kwargs)¶

Bases: lsst.pipe.base.PipelineTask

Run final characterization on exposures.

Attributes Summary

canMultiprocess

Methods Summary

`compute_psf_and_ap_corr_map`(visit, detector, …)	Compute psf model and aperture correction map for a single exposure.
`concat_isolated_star_cats`(band, …)	Concatenate isolated star catalogs and make reserve selection.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`getFullMetadata`()	Get metadata for all tasks.
`getFullName`()	Get the task name as a hierarchical name including parent task names.
`getName`()	Get the name of the task.
`getResourceConfig`()	Return resource configuration for this task.
`getTaskDict`()	Get a dictionary of all tasks as a shallow copy.
`makeField`(doc)	Make a `lsst.pex.config.ConfigurableField` for this task.
`makeSubtask`(name, **keyArgs)	Create a subtask as a new instance as the `name` attribute of this task.
`run`(visit, band, isolated_star_cat_dict, …)	Run the FinalizeCharacterizationTask.
`runQuantum`(butlerQC, inputRefs, outputRefs)	Method to do butler IO and or transforms to provide in memory objects for tasks run method
`timer`(name, logLevel)	Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

canMultiprocess = True¶

Methods Documentation

compute_psf_and_ap_corr_map(visit, detector, exposure, src, isolated_source_table)¶

Compute psf model and aperture correction map for a single exposure.

Parameters:	visit : `int` Visit number (for logging). detector : `int` Detector number (for logging). exposure : `lsst.afw.image.ExposureF` src : `lsst.afw.table.SourceCatalog` isolated_source_table : `np.ndarray`
Returns:	psf : `lsst.meas.algorithms.ImagePsf` PSF Model ap_corr_map : `lsst.afw.image.ApCorrMap` Aperture correction map. measured_src : `lsst.afw.table.SourceCatalog` Updated source catalog with measurements, flags and aperture corrections.

concat_isolated_star_cats(band, isolated_star_cat_dict, isolated_star_source_dict)¶

Concatenate isolated star catalogs and make reserve selection.

Parameters:	band : `str` Band name. Used to select reserved stars. isolated_star_cat_dict : `dict` Per-tract dict of isolated star catalog handles. isolated_star_source_dict : `dict` Per-tract dict of isolated star source catalog handles.
Returns:	isolated_table : `np.ndarray` (N,) Table of isolated stars, with indexes to isolated sources. isolated_source_table : `np.ndarray` (M,) Table of isolated sources, with indexes to isolated stars.

emptyMetadata() → None¶: Empty (clear) the metadata for this Task and all sub-Tasks.

getFullMetadata() → lsst.pipe.base._task_metadata.TaskMetadata¶

Get metadata for all tasks.

Returns:	metadata : `TaskMetadata` The keys are the full task name. Values are metadata for the top-level task and all subtasks, sub-subtasks, etc.

Notes

The returned metadata includes timing information (if @timer.timeMethod is used) and any metadata set by the task. The name of each item consists of the full task name with . replaced by :, followed by . and the name of the item, e.g.:

topLevelTaskName:subtaskName:subsubtaskName.itemName

using : in the full task name disambiguates the rare situation that a task has a subtask and a metadata item with the same name.

getFullName() → str¶

Get the task name as a hierarchical name including parent task names.

Returns:	fullName : `str` The full name consists of the name of the parent task and each subtask separated by periods. For example: The full name of top-level task “top” is simply “top”. The full name of subtask “sub” of top-level task “top” is “top.sub”. The full name of subtask “sub2” of subtask “sub” of top-level task “top” is “top.sub.sub2”.

getName() → str¶

Get the name of the task.

Returns:	taskName : `str` Name of the task.

See also

getFullName

getResourceConfig() → Optional[ResourceConfig]¶

Return resource configuration for this task.

Returns:	Object of type `ResourceConfig` or `None` if resource configuration is not defined for this task.

getTaskDict() → Dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]¶

Get a dictionary of all tasks as a shallow copy.

Returns:	taskDict : `dict` Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

classmethod makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶

Make a lsst.pex.config.ConfigurableField for this task.

Parameters:	doc : `str` Help text for the field.
Returns:	configurableField : `lsst.pex.config.ConfigurableField` A `ConfigurableField` for this task.

Examples

Provides a convenient way to specify this task is a subtask of another task.

Here is an example of use:

class OtherTaskConfig(lsst.pex.config.Config):
    aSubtask = ATaskClass.makeField("brief description of task")

makeSubtask(name: str, **keyArgs) → None¶

Create a subtask as a new instance as the name attribute of this task.

Parameters:	name : `str` Brief name of the subtask. keyArgs Extra keyword arguments used to construct the task. The following arguments are automatically provided and cannot be overridden: “config”. “parentTask”.

Notes

The subtask must be defined by Task.config.name, an instance of ConfigurableField or RegistryField.

run(visit, band, isolated_star_cat_dict, isolated_star_source_dict, src_dict, calexp_dict)¶

Run the FinalizeCharacterizationTask.

Parameters:

visit : int: Visit number. Used in the output catalogs.
band : str: Band name. Used to select reserved stars.
isolated_star_cat_dict : dict: Per-tract dict of isolated star catalog handles.
isolated_star_source_dict : dict: Per-tract dict of isolated star source catalog handles.
src_dict : dict: Per-detector dict of src catalog handles.
calexp_dict : dict: Per-detector dict of calibrated exposure handles.

Returns:

struct : lsst.pipe.base.struct: Struct with outputs for persistence.

runQuantum(butlerQC, inputRefs, outputRefs)¶

Method to do butler IO and or transforms to provide in memory objects for tasks run method

Parameters:

butlerQC : ButlerQuantumContext: A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.
inputRefs : InputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined input/prerequisite connections.
outputRefs : OutputQuantizedConnection: Datastructure whose attribute names are the names that identify connections defined in corresponding PipelineTaskConnections class. The values of these attributes are the lsst.daf.butler.DatasetRef objects associated with the defined output connections.

timer(name: str, logLevel: int = 10) → Iterator[None]¶

Context manager to log performance data for an arbitrary block of code.

Parameters:	name : `str` Name of code being timed; data will be logged using item name: `Start` and `End`. logLevel A `logging` level constant.

Navigation

FinalizeCharacterizationTask¶