CoaddInjectTask¶
- class lsst.source.injection.CoaddInjectTask(*, config: PipelineTaskConfig | None = None, log: logging.Logger | LsstLogAdapter | None = None, initInputs: dict[str, Any] | None = None, **kwargs: Any)¶
Bases:
BaseInjectTaskCoadd-level class for injecting sources into images.
Attributes Summary
Methods Summary
Empty (clear) the metadata for this Task and all sub-Tasks.
Get metadata for all tasks.
Get the task name as a hierarchical name including parent task names.
getName()Get the name of the task.
Get a dictionary of all tasks as a shallow copy.
makeField(doc)Make a
lsst.pex.config.ConfigurableFieldfor this task.makeSubtask(name, **keyArgs)Create a subtask as a new instance as the
nameattribute of this task.run(injection_catalogs, input_exposure, psf, ...)Inject sources into an image.
runQuantum(butler_quantum_context, ...)Do butler IO and transform to provide in memory objects for tasks
runmethod.timer(name[, logLevel])Context manager to log performance data for an arbitrary block of code.
Attributes Documentation
Methods Documentation
- getFullMetadata() 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.
- metadata
Notes
The returned metadata includes timing information (if
@timer.timeMethodis 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”.
- fullName
- 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.
- taskDict
- classmethod makeField(doc: str) ConfigurableField¶
Make a
lsst.pex.config.ConfigurableFieldfor this task.- Parameters:
- doc
str Help text for the field.
- doc
- Returns:
- configurableField
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor this task.
- configurableField
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: Any) None¶
Create a subtask as a new instance as the
nameattribute 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.
- name
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.
- run(injection_catalogs, input_exposure, psf, photo_calib, wcs)¶
Inject sources into an image.
- Parameters:
- injection_catalogs
list[astropy.table.Table] Tract level injection catalogs that potentially cover the named input exposure.
- input_exposure
lsst.afw.image.ExposureF The exposure sources will be injected into.
- psf: `lsst.meas.algorithms.ImagePsf`
PSF model.
- photo_calib
lsst.afw.image.PhotoCalib Photometric calibration used to calibrate injected sources.
- wcs
lsst.afw.geom.SkyWcs WCS used to calibrate injected sources.
- injection_catalogs
- Returns:
- output_struct
lsst.pipe.base.Struct - containsoutput_exposure
lsst.afw.image.ExposureF output_catalog :
lsst.afw.table.SourceCatalog
- containsoutput_exposure
- output_struct
- runQuantum(butler_quantum_context, input_refs, output_refs)¶
Do butler IO and transform to provide in memory objects for tasks
runmethod.- Parameters:
- butlerQC
QuantumContext 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
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined input/prerequisite connections.- outputRefs
OutputQuantizedConnection Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined output connections.
- butlerQC