ImageDifferenceTask

class lsst.pipe.tasks.imageDifference.ImageDifferenceTask(butler=None, **kwargs)

Bases: CmdLineTask, PipelineTask

Subtract an image from a template and measure the result

Attributes Summary

canMultiprocess

Methods Summary

applyOverrides(config)

A hook to allow a task to change the values of its config after the camera-specific overrides are loaded but before any command-line overrides are applied.

checkTemplateIsSufficient(templateExposure)

Raise NoWorkFound if template coverage < requiredTemplateFraction

emptyMetadata()

Empty (clear) the metadata for this Task and all sub-Tasks.

fitAstrometry(templateSources, ...)

Fit the relative astrometry between templateSources and selectSources

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.

makeIdFactory(expId, expBits)

Create IdFactory instance for unique 64 bit diaSource id-s.

makeSubtask(name, **keyArgs)

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

parseAndRun([args, config, log, doReturnResults])

Parse an argument list and run the command.

prepareCalibratedExposure(exposure[, ...])

Prepare a calibrated exposure and apply finalized psf if so configured.

run([exposure, selectSources, ...])

PSF matches, subtract two images and perform detection on the difference image.

runDataRef(sensorRef[, templateIdList])

Subtract an image from a template coadd and measure the result.

runDebug(exposure, subtractRes, ...)

Make debug plots and displays.

runQuantum(butlerQC, inputRefs, outputRefs)

Method to do butler IO and or transforms to provide in memory objects for tasks run method

timer(name[, logLevel])

Context manager to log performance data for an arbitrary block of code.

writeConfig(butler[, clobber, doBackup])

Write the configuration used for processing the data, or check that an existing one is equal to the new one if present.

writeMetadata(dataRef)

Write the metadata produced from processing the data.

writePackageVersions(butler[, clobber, ...])

Compare and write package versions.

writeSchemas(butler[, clobber, doBackup])

Write the schemas returned by lsst.pipe.base.Task.getAllSchemaCatalogs.

Attributes Documentation

canMultiprocess: ClassVar[bool] = True

Methods Documentation

classmethod applyOverrides(config)

A hook to allow a task to change the values of its config after the camera-specific overrides are loaded but before any command-line overrides are applied.

Parameters:
configinstance of task’s ConfigClass

Task configuration.

Notes

This is necessary in some cases because the camera-specific overrides may retarget subtasks, wiping out changes made in ConfigClass.setDefaults. See LSST Trac ticket #2282 for more discussion.

Warning

This is called by CmdLineTask.parseAndRun; other ways of constructing a config will not apply these overrides.

checkTemplateIsSufficient(templateExposure)

Raise NoWorkFound if template coverage < requiredTemplateFraction

Parameters:
templateExposurelsst.afw.image.ExposureF

The template exposure to check

Raises:
NoWorkFound

Raised if fraction of good pixels, defined as not having NO_DATA set, is less then the configured requiredTemplateFraction

emptyMetadata() None

Empty (clear) the metadata for this Task and all sub-Tasks.

fitAstrometry(templateSources, templateExposure, selectSources)

Fit the relative astrometry between templateSources and selectSources

getAllSchemaCatalogs() Dict[str, Any]

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

Returns:
schemacatalogsdict

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() 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
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, ReferenceType[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")
static makeIdFactory(expId, expBits)

Create IdFactory instance for unique 64 bit diaSource id-s.

Parameters:
expIdint

Exposure id.

expBits: `int`

Number of used bits in expId.

Returns:
idFactory: lsst.afw.table.IdFactory
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.

classmethod parseAndRun(args=None, config=None, log=None, doReturnResults=False)

Parse an argument list and run the command.

Parameters:
argslist, optional

List of command-line arguments; if None use sys.argv.

configlsst.pex.config.Config-type, optional

Config for task. If None use Task.ConfigClass.

loglogging.Logger-type, optional

Log. If None use the default log.

doReturnResultsbool, optional

If True, return the results of this task. Default is False. This is only intended for unit tests and similar use. It can easily exhaust memory (if the task returns enough data and you call it enough times) and it will fail when using multiprocessing if the returned data cannot be pickled.

Returns:
structlsst.pipe.base.Struct

Fields are:

argumentParser

the argument parser (lsst.pipe.base.ArgumentParser).

parsedCmd

the parsed command returned by the argument parser’s parse_args method (argparse.Namespace).

taskRunner

the task runner used to run the task (an instance of Task.RunnerClass).

resultList

results returned by the task runner’s run method, one entry per invocation (list). This will typically be a list of Struct, each containing at least an exitStatus integer (0 or 1); see Task.RunnerClass (TaskRunner by default) for more details.

Notes

Calling this method with no arguments specified is the standard way to run a command-line task from the command-line. For an example see pipe_tasks bin/makeSkyMap.py or almost any other file in that directory.

If one or more of the dataIds fails then this routine will exit (with a status giving the number of failed dataIds) rather than returning this struct; this behaviour can be overridden by specifying the --noExit command-line option.

prepareCalibratedExposure(exposure, finalizedPsfApCorrCatalog=None)

Prepare a calibrated exposure and apply finalized psf if so configured.

Parameters:
exposurelsst.afw.image.exposure.Exposure

Input exposure to adjust calibrations.

finalizedPsfApCorrCataloglsst.afw.table.ExposureCatalog, optional

Exposure catalog with finalized psf models and aperture correction maps to be applied if config.doApplyFinalizedPsf=True. Catalog uses the detector id for the catalog id, sorted on id for fast lookup.

Returns:
exposurelsst.afw.image.exposure.Exposure

Exposure with adjusted calibrations.

run(exposure=None, selectSources=None, templateExposure=None, templateSources=None, idFactory=None, calexpBackgroundExposure=None, subtractedExposure=None)

PSF matches, subtract two images and perform detection on the difference image.

Parameters:
exposurelsst.afw.image.ExposureF, optional

The science exposure, the minuend in the image subtraction. Can be None only if config.doSubtract==False.

selectSourceslsst.afw.table.SourceCatalog, optional

Identified sources on the science exposure. This catalog is used to select sources in order to perform the AL PSF matching on stamp images around them. The selection steps depend on config options and whether templateSources and matchingSources specified.

templateExposurelsst.afw.image.ExposureF, optional

The template to be subtracted from exposure in the image subtraction. templateExposure is modified in place if config.doScaleTemplateVariance==True. The template exposure should cover the same sky area as the science exposure. It is either a stich of patches of a coadd skymap image or a calexp of the same pointing as the science exposure. Can be None only if config.doSubtract==False and subtractedExposure is not None.

templateSourceslsst.afw.table.SourceCatalog, optional

Identified sources on the template exposure.

idFactorylsst.afw.table.IdFactory

Generator object to assign ids to detected sources in the difference image.

calexpBackgroundExposurelsst.afw.image.ExposureF, optional

Background exposure to be added back to the science exposure if config.doAddCalexpBackground==True

subtractedExposurelsst.afw.image.ExposureF, optional

If config.doSubtract==False and config.doDetection==True, performs the post subtraction source detection only on this exposure. Otherwise should be None.

Returns:
resultslsst.pipe.base.Struct
subtractedExposurelsst.afw.image.ExposureF

Difference image.

scoreExposurelsst.afw.image.ExposureF or None

The zogy score exposure, if calculated.

matchedExposurelsst.afw.image.ExposureF

The matched PSF exposure.

subtractReslsst.pipe.base.Struct

The returned result structure of the ImagePsfMatchTask subtask.

diaSourceslsst.afw.table.SourceCatalog

The catalog of detected sources.

selectSourceslsst.afw.table.SourceCatalog

The input source catalog with optionally added Qa information.

Notes

The following major steps are included:

  • warp template coadd to match WCS of image

  • PSF match image to warped template

  • subtract image from PSF-matched, warped template

  • detect sources

  • measure sources

For details about the image subtraction configuration modes see lsst.ip.diffim.

runDataRef(sensorRef, templateIdList=None)

Subtract an image from a template coadd and measure the result.

Data I/O wrapper around run using the butler in Gen2.

Parameters:
sensorReflsst.daf.persistence.ButlerDataRef

Sensor-level butler data reference, used for the following data products:

Input only: - calexp - psf - ccdExposureId - ccdExposureId_bits - self.config.coaddName + “Coadd_skyMap” - self.config.coaddName + “Coadd” Input or output, depending on config: - self.config.coaddName + “Diff_subtractedExp” Output, depending on config: - self.config.coaddName + “Diff_matchedExp” - self.config.coaddName + “Diff_src”

Returns:
resultslsst.pipe.base.Struct

Returns the Struct by run.

runDebug(exposure, subtractRes, selectSources, kernelSources, diaSources)

Make debug plots and displays.

runQuantum(butlerQC: ButlerQuantumContext, inputRefs: InputQuantizedConnection, outputRefs: OutputQuantizedConnection)

Method to do butler IO and or transforms to provide in memory objects for tasks run method

Parameters:
butlerQCButlerQuantumContext

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.

logLevel

A logging level constant.

See also

timer.logInfo

Examples

Creating a timer context:

with self.timer("someCodeToTime"):
    pass  # code to time
writeConfig(butler, clobber=False, doBackup=True)

Write the configuration used for processing the data, or check that an existing one is equal to the new one if present.

Parameters:
butlerlsst.daf.persistence.Butler

Data butler used to write the config. The config is written to dataset type CmdLineTask._getConfigName.

clobberbool, optional

A boolean flag that controls what happens if a config already has been saved:

  • True: overwrite or rename the existing config, depending on doBackup.

  • False: raise TaskError if this config does not match the existing config.

doBackupbool, optional

Set to True to backup the config files if clobbering.

writeMetadata(dataRef)

Write the metadata produced from processing the data.

Parameters:
dataRef

Butler data reference used to write the metadata. The metadata is written to dataset type CmdLineTask._getMetadataName.

writePackageVersions(butler, clobber=False, doBackup=True, dataset='packages')

Compare and write package versions.

Parameters:
butlerlsst.daf.persistence.Butler

Data butler used to read/write the package versions.

clobberbool, optional

A boolean flag that controls what happens if versions already have been saved:

  • True: overwrite or rename the existing version info, depending on doBackup.

  • False: raise TaskError if this version info does not match the existing.

doBackupbool, optional

If True and clobbering, old package version files are backed up.

datasetstr, optional

Name of dataset to read/write.

Raises:
TaskError

Raised if there is a version mismatch with current and persisted lists of package versions.

Notes

Note that this operation is subject to a race condition.

writeSchemas(butler, clobber=False, doBackup=True)

Write the schemas returned by lsst.pipe.base.Task.getAllSchemaCatalogs.

Parameters:
butlerlsst.daf.persistence.Butler

Data butler used to write the schema. Each schema is written to the dataset type specified as the key in the dict returned by getAllSchemaCatalogs.

clobberbool, optional

A boolean flag that controls what happens if a schema already has been saved:

  • True: overwrite or rename the existing schema, depending on doBackup.

  • False: raise TaskError if this schema does not match the existing schema.

doBackupbool, optional

Set to True to backup the schema files if clobbering.

Notes

If clobber is False and an existing schema does not match a current schema, then some schemas may have been saved successfully and others may not, and there is no easy way to tell which is which.