GetDcrTemplateTask¶

class lsst.ip.diffim.GetDcrTemplateTask(*args, **kwargs)¶

Bases: GetTemplateTask

Attributes Summary

canMultiprocess

Methods Summary

`checkPatchList`(patchList)	Check that all of the DcrModel subfilters are present for each patch.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`getDcrModel`(patchList, coaddRefs, visitInfo)	Build DCR-matched coadds from a list of exposure references.
`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.
`getOverlappingExposures`(inputs)	Return lists of coadds and their corresponding dataIds that overlap the detector.
`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`(coaddExposures, bbox, wcs, dataIds[, ...])	Warp coadds from multiple tracts to form a template for image diff.
`runQuantum`(butlerQC, inputRefs, outputRefs)	Do butler IO and transform 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: ClassVar[bool] = True¶

Methods Documentation

checkPatchList(patchList)¶

Check that all of the DcrModel subfilters are present for each patch.

Parameters:

patchListdict: Dict of the patches containing valid data for each tract.

Raises:

RuntimeError: If the number of exposures found for a patch does not match the number of subfilters.

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

getDcrModel(patchList, coaddRefs, visitInfo)¶

Build DCR-matched coadds from a list of exposure references.

Parameters:

patchListdict: Dict of the patches containing valid data for each tract.
coaddRefslist [lsst.daf.butler.DeferredDatasetHandle]: Data references to Exposure representing DcrModels that overlap the detector.
visitInfolsst.afw.image.VisitInfo: Metadata for the science image.

Returns:

coaddExposureListlist [lsst.afw.image.Exposure]: Coadd exposures that overlap the detector.

getFullMetadata() → TaskMetadata¶

Get metadata for all tasks.

Returns:

metadataTaskMetadata: 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:

fullNamestr

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:

taskNamestr: Name of the task.

See also

getFullName: Get the full name of the task.

getOverlappingExposures(inputs)¶

Return lists of coadds and their corresponding dataIds that overlap the detector.

The spatial index in the registry has generous padding and often supplies patches near, but not directly overlapping the detector. Filters inputs so that we don’t have to read in all input coadds.

Parameters:

inputsdict of task Inputs, containing:

coaddExposureRefslist [lsst.daf.butler.DeferredDatasetHandle of lsst.afw.image.Exposure]
Data references to exposures that might overlap the detector.
bboxlsst.geom.Box2I
Template Bounding box of the detector geometry onto which to resample the coaddExposures.
skyMaplsst.skymap.SkyMap
Input definition of geometry/bbox and projection/wcs for template exposures.
wcslsst.afw.geom.SkyWcs
Template WCS onto which to resample the coaddExposures.
visitInfolsst.afw.image.VisitInfo
Metadata for the science image.

Returns:

resultlsst.pipe.base.Struct

A struct with attibutes:

coaddExposures: Coadd exposures that overlap the detector (list [lsst.afw.image.Exposure]).
dataIds: Data IDs of the coadd exposures that overlap the detector (list [lsst.daf.butler.DataCoordinate]).

Raises:

NoWorkFound: Raised if no patches overlatp the input detector bbox.

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

Get a dictionary of all tasks as a shallow copy.

Returns:

taskDictdict: Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

classmethod makeField(doc: str) → ConfigurableField¶

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

Parameters:

docstr: Help text for the field.

Returns:

configurableFieldlsst.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: Any) → None¶

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

Parameters:

namestr

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(coaddExposures, bbox, wcs, dataIds, physical_filter=None, **kwargs)¶

Warp coadds from multiple tracts to form a template for image diff.

Where the tracts overlap, the resulting template image is averaged. The PSF on the template is created by combining the CoaddPsf on each template image into a meta-CoaddPsf.

Parameters:

coaddExposureslist [lsst.afw.image.Exposure]: Coadds to be mosaicked.
bboxlsst.geom.Box2I: Template Bounding box of the detector geometry onto which to resample the coaddExposures.
wcslsst.afw.geom.SkyWcs: Template WCS onto which to resample the coaddExposures.
dataIdslist [lsst.daf.butler.DataCoordinate]: Record of the tract and patch of each coaddExposure.
physical_filterstr, optional: The physical filter of the science image.
**kwargs: Any additional keyword parameters.

Returns:

resultlsst.pipe.base.Struct

A struct with attributes:

template: A template coadd exposure assembled out of patches (lsst.afw.image.ExposureF).

Raises:

NoWorkFound: If no coadds are found with sufficient un-masked pixels.
RuntimeError: If the PSF of the template can’t be calculated.

runQuantum(butlerQC, inputRefs, outputRefs)¶

Do butler IO and transform to provide in memory objects for tasks run method.

Parameters:

butlerQCQuantumContext: A butler which is specialized to operate in the context of a lsst.daf.butler.Quantum.
inputRefsInputQuantizedConnection: 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.
outputRefsOutputQuantizedConnection: 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:

namestr: Name of code being timed; data will be logged using item name: Start and End.
logLevelint: A logging level constant.

Navigation

GetDcrTemplateTask¶