CalibrateTask¶

class lsst.pipe.tasks.calibrate.CalibrateTask(butler=None, astromRefObjLoader=None, photoRefObjLoader=None, icSourceSchema=None, initInputs=None, **kwargs)¶

Bases: lsst.pipe.base.PipelineTask

Calibrate an exposure: measure sources and perform astrometric and photometric calibration.

Given an exposure with a good PSF model and aperture correction map(e.g. as provided by CharacterizeImageTask), perform the following operations: - Run detection and measurement - Run astrometry subtask to fit an improved WCS - Run photoCal subtask to fit the exposure’s photometric zero-point

Parameters:

butler : None: Compatibility parameter. Should always be None.
astromRefObjLoader : lsst.meas.algorithms.ReferenceObjectLoader, optional: Unused in gen3: must be None.
photoRefObjLoader : lsst.meas.algorithms.ReferenceObjectLoader, optional: Unused in gen3: must be None.
icSourceSchema : lsst.afw.table.Schema, optional: Schema for the icSource catalog.
initInputs : dict, optional: Dictionary that can contain a key icSourceSchema containing the input schema. If present will override the value of icSourceSchema.

Raises:

RuntimeError: Raised if any of the following occur: - isSourceCat is missing fields specified in icSourceFieldsToCopy. - PipelineTask form of this task is initialized with reference object

loaders.

Notes

Quantities set in exposure Metadata:

MAGZERO_RMS: MAGZERO’s RMS == sigma reported by photoCal task
MAGZERO_NOBJ: Number of stars used == ngood reported by photoCal task
COLORTERM1: ?? (always 0.0)
COLORTERM2: ?? (always 0.0)
COLORTERM3: ?? (always 0.0)

Debugging: CalibrateTask has a debug dictionary containing one key:

calibrate: frame (an int; <= 0 to not display) in which to display the exposure, sources and matches. See @ref lsst.meas.astrom.displayAstrometry for the meaning of the various symbols.

Attributes Summary

canMultiprocess

Methods Summary

`copyIcSourceFields`(icSourceCat, sourceCat)	Match sources in an icSourceCat and a sourceCat and copy fields.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`getAllSchemaCatalogs`()	Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.
`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.
`getSchemaCatalogs`()	Return a dict of empty catalogs for each catalog dataset produced by 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`(exposure[, exposureIdInfo, background, …])	Calibrate an exposure.
`runQuantum`(butlerQC, inputRefs, outputRefs)	Method to do butler IO and or transforms to provide in memory objects for tasks run method
`setMetadata`(exposure[, photoRes])	Set task and exposure metadata.
`timer`(name, logLevel)	Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

canMultiprocess = True¶

Methods Documentation

copyIcSourceFields(icSourceCat, sourceCat)¶

Match sources in an icSourceCat and a sourceCat and copy fields.

The fields copied are those specified by config.icSourceFieldsToCopy.

Parameters:	icSourceCat : `lsst.afw.table.SourceCatalog` Catalog from which to copy fields. sourceCat : `lsst.afw.table.SourceCatalog` Catalog to which to copy fields.
Raises:	RuntimeError Raised if any of the following occur: - icSourceSchema and icSourceKeys are not specified. - icSourceCat and sourceCat are not specified. - icSourceFieldsToCopy is empty.

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

getAllSchemaCatalogs() → Dict[str, Any]¶

Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.

Returns:	schemacatalogs : `dict` Keys are butler dataset type, values are a empty catalog (an instance of the appropriate `lsst.afw.table` Catalog type) for all tasks in the hierarchy, from the top-level task down through all subtasks.

Notes

This method may be called on any task in the hierarchy; it will return the same answer, regardless.

The default implementation should always suffice. If your subtask uses schemas the override Task.getSchemaCatalogs, not this method.

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.

getSchemaCatalogs()¶: Return a dict of empty catalogs for each catalog dataset produced by 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(exposure, exposureIdInfo=None, background=None, icSourceCat=None)¶

Calibrate an exposure.

Parameters:

exposure : lsst.afw.image.ExposureF: Exposure to calibrate.
exposureIdInfo : lsst.obs.baseExposureIdInfo, optional: Exposure ID info. If not provided, returned SourceCatalog IDs will not be globally unique.
background : lsst.afw.math.BackgroundList, optional: Initial model of background already subtracted from exposure.
icSourceCat : lsst.afw.image.SourceCatalog, optional: SourceCatalog from CharacterizeImageTask from which we can copy some fields.

Returns:

result : lsst.pipe.base.Struct

Results as a struct with attributes:

exposure: Characterized exposure (lsst.afw.image.ExposureF).
sourceCat: Detected sources (lsst.afw.table.SourceCatalog).
outputBackground: Model of subtracted background (lsst.afw.math.BackgroundList).
astromMatches: List of source/ref matches from astrometry solver.
matchMeta: Metadata from astrometry matches.
outputExposure: Another reference to exposure for compatibility.
outputCat: Another reference to sourceCat for compatibility.

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.

setMetadata(exposure, photoRes=None)¶

Set task and exposure metadata.

Logs a warning continues if needed data is missing.

Parameters:	exposure : `lsst.afw.image.ExposureF` Exposure to set metadata on. photoRes : `lsst.pipe.base.Struct`, optional Result of running photoCal task.

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

CalibrateTask¶