GetCoaddAsTemplateTask¶
-
class
lsst.ip.diffim.GetCoaddAsTemplateTask(config: Optional[Config] = None, name: Optional[str] = None, parentTask: Optional[Task] = None, log: Optional[Union[logging.Logger, lsst.utils.logging.LsstLogAdapter]] = None)¶ Bases:
lsst.pipe.base.TaskSubtask to retrieve coadd for use as an image difference template.
This is the default getTemplate Task to be run as a subtask by
pipe.tasks.ImageDifferenceTask.Notes
From the given skymap, the closest tract is selected; multiple tracts are not supported. The assembled template inherits the WCS of the selected skymap tract and the resolution of the template exposures. Overlapping box regions of the input template patches are pixel by pixel copied into the assembled template image. There is no warping or pixel resampling.
Pixels with no overlap of any available input patches are set to
nanvalue andNO_DATAflagged.Methods Summary
emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. getCoaddDatasetName()Return coadd name for given task config 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. getOverlapPatchList(exposure, skyMap)Select the relevant tract and its patches that overlap with the science exposure. getTaskDict()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(tractInfo, patchList, skyCorners, …[, …])Determination of exposure dimensions and copying of pixels from overlapping patch regions. runQuantum(exposure, butlerQC, skyMapRef, …)Gen3 task entry point. timer(name, logLevel)Context manager to log performance data for an arbitrary block of code. Methods Documentation
-
emptyMetadata() → None¶ Empty (clear) the metadata for this Task and all sub-Tasks.
-
getCoaddDatasetName()¶ Return coadd name for given task config
Returns: - CoaddDatasetName :
string - TODO: This nearly duplicates a method in CoaddBaseTask (DM-11985)
- CoaddDatasetName :
-
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.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.- metadata :
-
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 :
-
getOverlapPatchList(exposure, skyMap)¶ Select the relevant tract and its patches that overlap with the science exposure.
Parameters: - exposure :
lsst.afw.image.Exposure The science exposure to define the sky region of the template coadd.
- skyMap :
lsst.skymap.BaseSkyMap SkyMap object that corresponds to the template coadd.
Returns: - result :
tupleof tractInfo:lsst.skymap.TractInfoThe selected tract.
patchList:list[lsst.skymap.PatchInfo]List of all overlap patches of the selected tract.
skyCorners:list[lsst.geom.SpherePoint]Corners of the exposure in the sky in the order given by
lsst.geom.Box2D.getCorners.
- exposure :
-
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) → lsst.pex.config.configurableField.ConfigurableField¶ Make a
lsst.pex.config.ConfigurableFieldfor this task.Parameters: - doc :
str Help text for the field.
Returns: - configurableField :
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor 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")
- doc :
-
makeSubtask(name: str, **keyArgs) → 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”.
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.- name :
-
run(tractInfo, patchList, skyCorners, availableCoaddRefs, sensorRef=None, visitInfo=None)¶ Determination of exposure dimensions and copying of pixels from overlapping patch regions.
Parameters: - skyMap :
lsst.skymap.BaseSkyMap SkyMap object that corresponds to the template coadd.
- tractInfo :
lsst.skymap.TractInfo The selected tract.
- patchList : iterable of
lsst.skymap.PatchInfo Patches to consider for making the template exposure.
- skyCorners :
list[lsst.geom.SpherePoint] Sky corner coordinates to be covered by the template exposure.
- availableCoaddRefs :
dict[int] Dictionary of spatially relevant retrieved coadd patches, indexed by their sequential patch number. Values are
lsst.daf.butler.DeferredDatasetHandleand.get()is called.- sensorRef :
None Must always be
None. Gen2 parameters are no longer used.- visitInfo :
lsst.afw.image.VisitInfo VisitInfo to make dcr model.
Returns: - templateExposure :
lsst.afw.image.ExposureF The created template exposure.
- skyMap :
-
runQuantum(exposure, butlerQC, skyMapRef, coaddExposureRefs)¶ Gen3 task entry point. Retrieve and mosaic a template coadd exposure that overlaps the science exposure.
Parameters: - exposure :
lsst.afw.image.Exposure The science exposure to define the sky region of the template coadd.
- butlerQC :
lsst.pipe.base.ButlerQuantumContext Butler like object that supports getting data by DatasetRef.
- skyMapRef :
lsst.daf.butler.DatasetRef Reference to SkyMap object that corresponds to the template coadd.
- coaddExposureRefs : iterable of
lsst.daf.butler.DeferredDatasetRef Iterable of references to the available template coadd patches.
Returns: - result :
lsst.pipe.base.Struct A struct with attibutes:
exposureTemplate coadd exposure assembled out of patches (
lsst.afw.image.ExposureF).sourcesAlways
Nonefor this subtask.
- exposure :
-
timer(name: str, logLevel: int = 10) → Iterator[None]¶ Context manager to log performance data for an arbitrary block of code.
Parameters: See also
timer.logInfo
Examples
Creating a timer context:
with self.timer("someCodeToTime"): pass # code to time
-