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 list of all available tasks, see Task index and for an introduction to processing data see Getting started with the LSST Science Pipelines.
Using lsst.pipe.tasks¶
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
- HealSparseInputMapTask
- Task for making a HealSparse input map.
- 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 |
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 |
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 |
Class Inheritance Diagram¶
lsst.pipe.tasks.dcrAssembleCoadd Module¶
Classes¶
DcrAssembleCoaddConnections(*[, config]) |
|
DcrAssembleCoaddTask(*args, **kwargs) |
Assemble DCR coadded images from a set of warps. |
DcrAssembleCoaddConfig |