JointcalCoaddTask¶

class lsst.jointcal.JointcalCoaddTask(reuse=False, **kwargs)¶

Bases: lsst.pipe.tasks.makeCoaddTempExp.MakeCoaddTempExpTask

Attributes Summary

canMultiprocess

Methods Summary

`applyJointcalResultsExposure`(dataRef[, calexp])	Update an Exposure with the Wcs, from meas_jointcal (Calib and flux sacling will be also used later).
`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.
`applySkyCorr`(dataRef, calexp)	Apply correction to the sky background level
`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.
`getBadPixelMask`()	!
`getCalExp`(dataRef, bgSubtracted)	Return one “calexp” calibrated exposure
`getCoaddDatasetName`([warpType])	Return coadd name for given warpType and 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.
`getSchemaCatalogs`()	Get the schemas generated by this task.
`getSkyInfo`(patchRef)	!
`getTaskDict`()	Get a dictionary of all tasks as a shallow copy.
`getTempExpDatasetName`([warpType])	Return warp name for given warpType and task config
`getWarpTypeList`()	Return list of requested warp types per the config.
`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.
`parseAndRun`([args, config, log, doReturnResults])	Parse an argument list and run the command.
`run`(calexpRefList, skyInfo[, visitId])	Create a Warp from inputs
`runDataRef`(patchRef[, selectDataList])	!Produce <coaddName>Coadd_<warpType>Warp images by warping and optionally PSF-matching.
`selectExposures`(patchRef[, skyInfo, …])	!
`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 = True¶

Methods Documentation

applyJointcalResultsExposure(dataRef, calexp=None)¶: Update an Exposure with the Wcs, from meas_jointcal (Calib and flux sacling will be also used later). If None, the calexp will be loaded from the dataRef. Otherwise it is updated in-place.

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:	config : instance 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.

applySkyCorr(dataRef, calexp)¶

Apply correction to the sky background level

Sky corrections can be generated with the ‘skyCorrection.py’ executable in pipe_drivers. Because the sky model used by that code extends over the entire focal plane, this can produce better sky subtraction.

The calexp is updated in-place.

Parameters:	dataRef : `lsst.daf.persistence.ButlerDataRef` Data reference for calexp. calexp : `lsst.afw.image.Exposure` or `lsst.afw.image.MaskedImage` Calibrated exposure.

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.

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.

getBadPixelMask()¶: ! @brief Convenience method to provide the bitmask from the mask plane names

getCalExp(dataRef, bgSubtracted)¶

Return one “calexp” calibrated exposure

Parameters:	dataRef a sensor-level data reference bgSubtracted return calexp with background subtracted? If False get the calexp’s background background model and add it to the calexp.
Returns:	afw.image.ExposureF The calibrated exposure. If config.doApplyUberCal, jointcal calibrations will be applied to the returned exposure using applyMosaicResults.

getCoaddDatasetName(warpType='direct')¶

Return coadd name for given warpType and task config

Parameters:	warpType : string Either ‘direct’ or ‘psfMatched’
Returns:	CoaddDatasetName : `string`

getFullMetadata()¶

Get metadata for all tasks.

Returns:	metadata : `lsst.daf.base.PropertySet` The `PropertySet` 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()¶

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()¶

Get the name of the task.

Returns:	taskName : `str` Name of the task.

See also

Task.getAllSchemaCatalogs

Notes

Warning

Subclasses that use schemas must override this method. The default implemenation returns an empty dict.

This method may be called at any time after the Task is constructed, which means that all task schemas should be computed at construction time, not when data is actually processed. This reflects the philosophy that the schema should not depend on the data.

Returning catalogs rather than just schemas allows us to save e.g. slots for SourceCatalog as well.

getSkyInfo(patchRef)¶

! @brief Use @ref getSkyinfo to return the skyMap, tract and patch information, wcs and the outer bbox of the patch.

@param[in] patchRef data reference for sky map. Must include keys “tract” and “patch”

@return pipe_base Struct containing: - skyMap: sky map - tractInfo: information for chosen tract of sky map - patchInfo: information about chosen patch of tract - wcs: WCS of tract - bbox: outer bbox of patch, as an afwGeom Box2I

getTaskDict()¶

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..

getTempExpDatasetName(warpType='direct')¶

Return warp name for given warpType and task config

Parameters:	warpType : string Either ‘direct’ or ‘psfMatched’
Returns:	WarpDatasetName : `string`

getWarpTypeList()¶: Return list of requested warp types per the config.

classmethod makeField(doc)¶

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("a brief description of what this task does")

makeSubtask(name, **keyArgs)¶

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 pex_config ConfigurableField or RegistryField.

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

Parse an argument list and run the command.

Parameters:

args : list, optional: List of command-line arguments; if None use sys.argv.
config : lsst.pex.config.Config-type, optional: Config for task. If None use Task.ConfigClass.
log : lsst.log.Log-type, optional: Log. If None use the default log.
doReturnResults : bool, 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:

struct : lsst.pipe.base.Struct

Fields are:

argumentParser: the argument parser.
parsedCmd: the parsed command returned by the argument parser’s lsst.pipe.base.ArgumentParser.parse_args method.
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.

This will typically be a list of None unless doReturnResults is True; see Task.RunnerClass (TaskRunner by default) for more information.

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.

run(calexpRefList, skyInfo, visitId=0)¶

Create a Warp from inputs

We iterate over the multiple calexps in a single exposure to construct the warp (previously called a coaddTempExp) of that exposure to the supplied tract/patch.

Pixels that receive no pixels are set to NAN; this is not correct (violates LSST algorithms group policy), but will be fixed up by interpolating after the coaddition.

@param calexpRefList: List of data references for calexps that (may)

overlap the patch of interest

@param skyInfo: Struct from CoaddBaseTask.getSkyInfo() with geometric

information about the patch

@param visitId: integer identifier for visit, for the table that will

produce the CoaddPsf

@return a pipeBase Struct containing:

exposures: a dictionary containing the warps requested:

“direct”: direct warp if config.makeDirect “psfMatched”: PSF-matched warp if config.makePsfMatched

runDataRef(patchRef, selectDataList=[])¶

!Produce <coaddName>Coadd_<warpType>Warp images by warping and optionally PSF-matching.

@param[in] patchRef: data reference for sky map patch. Must include keys “tract”, “patch”,: plus the camera-specific filter key (e.g. “filter” or “band”)
@return: dataRefList: a list of data references for the new <coaddName>Coadd_directWarps: if direct or both warp types are requested and <coaddName>Coadd_psfMatchedWarps if only psfMatched warps are requested.

@warning: this task assumes that all exposures in a warp (coaddTempExp) have the same filter.

@warning: this task sets the Calib of the coaddTempExp to the Calib of the first calexp with any good pixels in the patch. For a mosaic camera the resulting Calib should be ignored (assembleCoadd should determine zeropoint scaling without referring to it).

selectExposures(patchRef, skyInfo=None, selectDataList=[])¶

! @brief Select exposures to coadd

Get the corners of the bbox supplied in skyInfo using @ref afwGeom.Box2D and convert the pixel positions of the bbox corners to sky coordinates using @ref skyInfo.wcs.pixelToSky. Use the @ref WcsSelectImagesTask_ “WcsSelectImagesTask” to select exposures that lie inside the patch indicated by the dataRef.

@param[in] patchRef data reference for sky map patch. Must include keys “tract”, “patch”,: plus the camera-specific filter key (e.g. “filter” or “band”)

@param[in] skyInfo geometry for the patch; output from getSkyInfo @return a list of science exposures to coadd, as butler data references

timer(name, logLevel=10000)¶

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 `lsst.log` level constant.

Navigation

JointcalCoaddTask¶