FitSipDistortionTask¶

class lsst.meas.astrom.FitSipDistortionTask(**kwargs)¶

Bases: lsst.pipe.base.Task

Fit a TAN-SIP WCS given a list of reference object/source matches.

Methods Summary

`display`(revFitter[, exposure, bbox, frame, …])	Display positions and outlier status overlaid on an image.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`fitWcs`(matches, initWcs[, bbox, refCat, …])	Fit a TAN-SIP WCS from a list of reference object/source matches.
`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.
`getSchemaCatalogs`()	Get the schemas generated 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.
`makeInitialWcs`(matches, wcs)	Generate a guess Wcs from the astrometric matches
`makeSubtask`(name, **keyArgs)	Create a subtask as a new instance as the `name` attribute of this task.
`timer`(name[, logLevel])	Context manager to log performance data for an arbitrary block of code.

Methods Documentation

display(revFitter, exposure=None, bbox=None, frame=0, pause=True)¶

Display positions and outlier status overlaid on an image.

This method is called by fitWcs when display debugging is enabled. It always drops into pdb before returning to allow interactive inspection, and hence it should never be called in non-interactive contexts.

Parameters:

revFitter : lsst::meas::astrom::ScaledPolynomialTransformFitter: Fitter object initialized with fromMatches for fitting a “reverse” distortion: the mapping from intermediate world coordinates to pixels.
exposure : lsst::afw::image::Exposure: An Exposure or other displayable image on which matches can be overplotted.
bbox : lsst::afw::geom::Box2I: Bounding box of the region on which matches should be plotted.

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

fitWcs(matches, initWcs, bbox=None, refCat=None, sourceCat=None, exposure=None)¶

Fit a TAN-SIP WCS from a list of reference object/source matches.

Parameters:

matches : list of lsst.afw.table.ReferenceMatch

A sequence of reference object/source matches. The following fields are read: - match.first (reference object) coord - match.second (source) centroid

The following fields are written: - match.first (reference object) centroid - match.second (source) centroid - match.distance (on sky separation, in radians)

initWcs : lsst.afw.geom.SkyWcs

An initial WCS whose CD matrix is used as the final CD matrix.

bbox : lsst.geom.Box2I

The region over which the WCS will be valid (PARENT pixel coordinates); if None or an empty box then computed from matches

refCat : lsst.afw.table.SimpleCatalog

Reference object catalog, or None. If provided then all centroids are updated with the new WCS, otherwise only the centroids for ref objects in matches are updated. Required fields are “centroid_x”, “centroid_y”, “coord_ra”, and “coord_dec”.

sourceCat : lsst.afw.table.SourceCatalog

Source catalog, or None. If provided then coords are updated with the new WCS; otherwise only the coords for sources in matches are updated. Required input fields are “slot_Centroid_x”, “slot_Centroid_y”, “slot_Centroid_xErr”, “slot_Centroid_yErr”, and optionally “slot_Centroid_x_y_Cov”. The “coord_ra” and “coord_dec” fields will be updated but are not used as input.

exposure : lsst.afw.image.Exposure

An Exposure or other displayable image on which matches can be overplotted. Ignored (and may be None) if display-based debugging is not enabled via lsstDebug.

Returns:

An lsst.pipe.base.Struct with the following fields:

wcs : lsst.afw.geom.SkyWcs

The best-fit WCS.
scatterOnSky : lsst.geom.Angle

The median on-sky separation between reference objects and sources in “matches”, as an lsst.geom.Angle

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.

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.

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..

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")

makeInitialWcs(matches, wcs)¶

Generate a guess Wcs from the astrometric matches

We create a Wcs anchored at the center of the matches, with the scale of the input Wcs. This is necessary because the Wcs may have a very approximation position (as is common with telescoped-generated Wcs). We’re using the best of each: positions from the matches, and scale from the input Wcs.

Parameters:	matches : list of `lsst::afw::table::ReferenceMatch` A sequence of reference object/source matches. The following fields are read: match.first (reference object) coord match.second (source) centroid wcs : `lsst::afw::geom::SkyWcs` An initial WCS whose CD matrix is used as the CD matrix of the result.
Returns:	newWcs : `lsst.afw.geom.SkyWcs` A new WCS guess.

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.

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

FitSipDistortionTask¶