ForcedPhotCcdFromDataFrameTask¶

class lsst.meas.base.ForcedPhotCcdFromDataFrameTask(refSchema=None, initInputs=None, **kwargs)¶

Bases: ForcedPhotCcdTask

Force Photometry on a per-detector exposure with coords from a DataFrame

Uses input from a DataFrame instead of SourceCatalog like the base class ForcedPhotCcd does. Writes out a SourceCatalog so that the downstream WriteForcedSourceTableTask can be reused with output from this Task.

Attributes Summary

`canMultiprocess`
`dataPrefix`

Methods Summary

`attachFootprints`(sources, refCat, exposure, ...)	Attach footprints to blank sources prior to measurements.
`df2RefCat`(dfList, exposureBBox, exposureWcs)	Convert list of DataFrames to reference catalog
`df2SourceCat`(df)	Create minimal schema SourceCatalog from a pandas DataFrame.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`generateMeasCat`(dataId, exposure, refCat, refWcs)	Generate a measurement catalog.
`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.
`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.
`mergeAndFilterReferences`(exposure, refCats, ...)	Filter reference catalog so that all sources are within the boundaries of the exposure.
`prepareCalibratedExposure`(exposure[, ...])	Prepare a calibrated exposure and apply external calibrations and sky corrections if so configured.
`run`(measCat, exposure, refCat, refWcs[, ...])	Perform forced measurement on a single exposure.
`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¶

dataPrefix = ''¶

Methods Documentation

attachFootprints(sources, refCat, exposure, refWcs)¶

Attach footprints to blank sources prior to measurements.

Notes

Footprint objects for forced photometry must be in the pixel coordinate system of the image being measured, while the actual detections may start out in a different coordinate system.

Subclasses of this class may implement this method to define how those Footprint objects should be generated.

This default implementation transforms depends on the footprintSource configuration parameter.

df2RefCat(dfList, exposureBBox, exposureWcs)¶

Convert list of DataFrames to reference catalog

Concatenate list of DataFrames presumably from multiple patches and downselect rows that overlap the exposureBBox using the exposureWcs.

Parameters:

dfListlist of pandas.DataFrame: Each element containst diaObjects with ra/dec position in degrees Columns ‘diaObjectId’, ‘ra’, ‘dec’ are expected
exposureBBoxlsst.geom.Box2I: Bounding box on which to select rows that overlap
exposureWcslsst.afw.geom.SkyWcs: World coordinate system to convert sky coords in ref cat to pixel coords with which to compare with exposureBBox

Returns:

refCatlsst.afw.table.SourceTable: Source Catalog with minimal schema that overlaps exposureBBox

df2SourceCat(df)¶

Create minimal schema SourceCatalog from a pandas DataFrame.

The forced measurement subtask expects this as input.

Parameters:

dfpandas.DataFrame: DiaObjects with locations and ids.

Returns:

outputCataloglsst.afw.table.SourceTable: Output catalog with minimal schema.

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

generateMeasCat(dataId, exposure, refCat, refWcs)¶

Generate a measurement catalog.

Parameters:

dataIdlsst.daf.butler.DataCoordinate: Butler data ID for this image, with {visit, detector} keys.
exposurelsst.afw.image.exposure.Exposure: Exposure to generate the catalog for.
refCatlsst.afw.table.SourceCatalog: Catalog of shapes and positions at which to force photometry.
refWcslsst.afw.image.SkyWcs: Reference world coordinate system. This parameter is not currently used.

Returns:

measCatlsst.afw.table.SourceCatalog: Catalog of forced sources to measure.
expIdint: Unique binary id associated with the input exposure

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.

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.

mergeAndFilterReferences(exposure, refCats, refWcs)¶

Filter reference catalog so that all sources are within the boundaries of the exposure.

Parameters:

exposurelsst.afw.image.exposure.Exposure: Exposure to generate the catalog for.
refCatssequence of lsst.daf.butler.DeferredDatasetHandle: Handles for catalogs of shapes and positions at which to force photometry.
refWcslsst.afw.image.SkyWcs: Reference world coordinate system.

Returns:

refSourceslsst.afw.table.SourceCatalog: Filtered catalog of forced sources to measure.

Notes

The majority of this code is based on the methods of lsst.meas.algorithms.loadReferenceObjects.ReferenceObjectLoader

prepareCalibratedExposure(exposure, skyCorr=None, visitSummary=None)¶

Prepare a calibrated exposure and apply external calibrations and sky corrections if so configured.

Parameters:

exposurelsst.afw.image.exposure.Exposure: Input exposure to adjust calibrations.
skyCorrlsst.afw.math.backgroundList, optional: Sky correction frame to apply if doApplySkyCorr=True.
visitSummarylsst.afw.table.ExposureCatalog, optional: Exposure catalog with update calibrations; any not-None calibration objects attached will be used. These are applied first and may be overridden by other arguments.

Returns:

exposurelsst.afw.image.exposure.Exposure: Exposure with adjusted calibrations.

run(measCat, exposure, refCat, refWcs, exposureId=None)¶

Perform forced measurement on a single exposure.

Parameters:

measCatlsst.afw.table.SourceCatalog: The measurement catalog, based on the sources listed in the reference catalog.
exposurelsst.afw.image.Exposure: The measurement image upon which to perform forced detection.
refCatlsst.afw.table.SourceCatalog: The reference catalog of sources to measure.
refWcslsst.afw.image.SkyWcs: The WCS for the references.
exposureIdint: Optional unique exposureId used for random seed in measurement task.

Returns:

resultlsst.pipe.base.Struct

Structure with fields:

measCat: Catalog of forced measurement results (lsst.afw.table.SourceCatalog).

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

ForcedPhotCcdFromDataFrameTask¶