FitTanSipWcsTask

class lsst.meas.astrom.FitTanSipWcsTask(config: Optional[Config] = None, name: Optional[str] = None, parentTask: Optional[Task] = None, log: Optional[Union[logging.Logger, lsst.utils.logging.LsstLogAdapter]] = None)

Bases: lsst.pipe.base.Task

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

Methods Summary

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.
initialWcs(matches, wcs)	Generate a guess Wcs from the astrometric matches
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.
plotFit(matches, wcs, rejected)	Plot the fit
rejectMatches(matches, wcs, rejected)	Flag deviant matches
timer(name, logLevel)	Context manager to log performance data for an arbitrary block of code.

Methods Documentation

emptyMetadata() → None

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

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

initial WCS

bbox : lsst.geom.Box2I

the region over which the WCS will be valid (an lsst:afw::geom::Box2I); 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 fields are “slot_Centroid_x”, “slot_Centroid_y”, and “coord_ra”, and “coord_dec”.

exposure : lsst.afw.image.Exposure

Ignored; present for consistency with FitSipDistortionTask.

Returns:

result : lsst.pipe.base.Struct

with the following fields:

• wcs : the fit WCS (lsst.afw.geom.SkyWcs)
• scatterOnSky : median on-sky separation between reference objects and sources in “matches” (lsst.afw.geom.Angle)

getAllSchemaCatalogs() → Dict[str, Any]

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() → lsst.pipe.base._task_metadata.TaskMetadata

Get metadata for all tasks.

Returns:

metadata : TaskMetadata

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:

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() → str

Get the name of the task.

Returns:

taskName : str

Name of the task.

See also

getFullName

getSchemaCatalogs() → Dict[str, Any]

Get the schemas generated by this task.

Returns:

schemaCatalogs : dict

Keys are butler dataset type, values are an empty catalog (an instance of the appropriate lsst.afw.table Catalog type) for this task.

See also

Task.getAllSchemaCatalogs

Notes

Warning

Subclasses that use schemas must override this method. The default implementation 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() → Dict[str, weakref.ReferenceType[lsst.pipe.base.task.Task]]

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.

initialWcs(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 matching returns only matches with no estimated Wcs, and the input Wcs is a wild guess. 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

List of sources matched to references.

wcs : lsst.afw.geom.SkyWcs

Current WCS.

Returns:

newWcs : lsst.afw.geom.SkyWcs

Initial WCS guess from estimated crpix and crval.

classmethod makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField

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("brief description of task")

makeSubtask(name: str, **keyArgs) → None

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 ConfigurableField or RegistryField.

plotFit(matches, wcs, rejected)

Plot the fit

We create four plots, for all combinations of (dx, dy) against (x, y). Good points are black, while rejected points are red.

Parameters:

matches : list of lsst.afw.table.ReferenceMatch

List of sources matched to references.

wcs : lsst.afw.geom.SkyWcs

Fitted WCS.

rejected : array-like of bool

Array of matches rejected from the fit.

rejectMatches(matches, wcs, rejected)

Flag deviant matches

We return a boolean numpy array indicating whether the corresponding match should be rejected. The previous list of rejections is used so we can calculate uncontaminated statistics.

Parameters:

matches : list of lsst.afw.table.ReferenceMatch

List of sources matched to references.

wcs : lsst.afw.geom.SkyWcs

Fitted WCS.

rejected : array-like of bool

Array of matches rejected from the fit. Unused.

Returns:

rejectedMatches : ndarray of type bool

Matched objects found to be outside of tolerance.

timer(name: str, logLevel: int = 10) → Iterator[None]

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 logging level constant.

See also

timer.logInfo

Examples

Creating a timer context:

with self.timer("someCodeToTime"):
    pass  # code to time