lsst.pipe.tasks

lsst.pipe.tasks provides many of the Task classes that drive the LSST Science Pipelines. The command-line tasks listed here are useful data processing entry points for most users. You can also assemble your own pipelines by combining individual tasks through their Python APIs.

lsst.pipe.tasks does not provide all the tasks and command-line tasks in the LSST Science Pipelines. For a complete overview of the available tasks, see the Processing Data documentation section (to be completed). To learn more about the task framework in general, see the lsst.pipe.base module documentation.

Contributing

lsst.pipe.tasks is developed at https://github.com/lsst/pipe_tasks. You can find Jira issues for this module under the pipe_tasks component.

Task reference

Command-line tasks

DeblendCoaddSourcesTask

Deblend the sources in a merged catalog

ExampleCmdLineTask

!Example command-line task that computes simple statistics on an image

GetRepositoryDataTask

Retrieve data from a repository, e.g. for plotting or analysis purposes

MakeDiscreteSkyMapTask

!Make a DiscreteSkyMap in a repository, using the bounding box of a set of calexps.

MakeSkyMapTask

!Make a sky map in a repository

ProcessCcdTask

!Assemble raw data, fit the PSF, detect and measure, and fit WCS and zero-point

Tasks

BaseFakeSourcesTask

An abstract base class for subtasks that inject fake sources into images to test completeness and other aspects of the processing.

BestSeeingWcsSelectImagesTask

Select up to a maximum number of the best-seeing images using their Wcs.

CalibsParseTask

Task that will parse the filename and/or its contents to get the required information to populate the calibration registry.

CalibsRegisterTask

Task that will generate the calibration registry for the Mapper

CoaddInputRecorderTask

Subtask that handles filling a CoaddInputs object for a coadd exposure, tracking the CCDs and visits that went into a coadd.

ComputeExposureSummaryStatsTask

Task to compute exposure summary statistics.

ExampleSigmaClippedStatsTask

!Example task to compute sigma-clipped mean and standard deviation of an image

ExampleSimpleStatsTask

!Example task to compute mean and standard deviation of an image

IngestCalibsTask

Task that generates registry for calibration images

IngestTask

Task that will ingest images into the data repository

InterpImageTask

Interpolate over bad image pixels

MaskStreaksTask

Find streaks or other straight lines in image data.

MatchBackgroundsTask

Base class for data processing tasks.

MeasurePsfTask

! @anchor MeasurePsfTask

ParseTask

Task that will parse the filename and/or its contents to get the required information for putting the file in the correct location and populating the registry.

PgsqlIngestTask

Task that will ingest images into the data repository

PgsqlRegisterTask

Task that will generate the registry for the Mapper

PhotoCalTask

! @anchor PhotoCalTask

PropagateVisitFlagsTask

!Task to propagate flags from single-frame measurements to coadd measurements

PsfWcsSelectImagesTask

Select images using their Wcs and cuts on the PSF properties

RegisterTask

Task that will generate the registry for the Mapper

RegisterTask

Task to register (align) multiple images.

RepairTask

! @anchor RepairTask

ScaleVarianceTask

Scale the variance in a MaskedImage

ScaleZeroPointTask

Compute scale factor to scale exposures to a desired photometric zero point

SetPrimaryFlagsTask

Add isPrimaryKey to a given schema.

SnapCombineTask

! anchor SnapCombineTask

TransformTask

! anchor TransformTask

WarpAndPsfMatchTask

A task to warp and PSF-match an exposure

WcsSelectImagesTask

Select images using their Wcs

Configurations

Colorterm

!Colorterm correction for one pair of filters

ColortermDict

A mapping of physical filter label to Colorterm

ColortermLibrary

!A mapping of photometric reference catalog name or glob to ColortermDict

CullPeaksConfig

! @anchor CullPeaksConfig

DatabaseSelectImagesConfig

Base configuration for subclasses of BaseSelectImagesTask that use a database

InitialPsfConfig

!Describes the initial PSF used for detection and measurement before we do PSF determination.

Python API reference

lsst.pipe.tasks.assembleCoadd Module

Classes

AssembleCoaddTask(*args, **kwargs)	Assemble a coadded image from a set of warps (coadded temporary exposures).
AssembleCoaddConnections(*[, config])
AssembleCoaddConfig(*args, **kw)	Configuration parameters for the AssembleCoaddTask.
SafeClipAssembleCoaddTask(*args, **kwargs)	Assemble a coadded image from a set of coadded temporary exposures, being careful to clip & flag areas with potential artifacts.
SafeClipAssembleCoaddConfig(*args, **kw)	Configuration parameters for the SafeClipAssembleCoaddTask.
CompareWarpAssembleCoaddTask(*args, **kwargs)	Assemble a compareWarp coadded image from a set of warps by masking artifacts detected by comparing PSF-matched warps.
CompareWarpAssembleCoaddConfig(*args, **kw)

Class Inheritance Diagram

lsst.pipe.tasks.dcrAssembleCoadd Module

Classes

DcrAssembleCoaddConnections(*[, config])
DcrAssembleCoaddTask(*args, **kwargs)	Assemble DCR coadded images from a set of warps.
DcrAssembleCoaddConfig(*args, **kw)

Class Inheritance Diagram