MatchProbabilisticTask

class lsst.meas.astrom.MatchProbabilisticTask(**kwargs)

Bases: Task

Run MatchProbabilistic on a reference and target catalog covering the same tract.

Attributes Summary

columns_in_ref

columns_in_target

Methods Summary

emptyMetadata()

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

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.

getTaskDict()

Get a dictionary of all tasks as a shallow copy.

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.

match(catalog_ref, catalog_target[, ...])

Match sources in a reference tract catalog with a target catalog.

run(catalog_ref, catalog_target[, wcs])

Match sources in a reference tract catalog with a target catalog.

timer(name[, logLevel])

Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

columns_in_ref
columns_in_target

Methods Documentation

emptyMetadata() None

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

getFullMetadata() TaskMetadata

Get metadata for all tasks.

Returns:
metadataTaskMetadata

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:
fullNamestr

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:
taskNamestr

Name of the task.

See also

getFullName
getTaskDict() Dict[str, ReferenceType[Task]]

Get a dictionary of all tasks as a shallow copy.

Returns:
taskDictdict

Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.

classmethod makeField(doc: str) ConfigurableField

Make a lsst.pex.config.ConfigurableField for this task.

Parameters:
docstr

Help text for the field.

Returns:
configurableFieldlsst.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: Any) None

Create a subtask as a new instance as the name attribute of this task.

Parameters:
namestr

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.

match(catalog_ref: DataFrame, catalog_target: DataFrame, select_ref: array | None = None, select_target: array | None = None, wcs: SkyWcs | None = None, logger: Logger | None = None, logging_n_rows: int | None = None) Tuple[DataFrame, DataFrame, Dict[int, str]]

Match sources in a reference tract catalog with a target catalog.

Parameters:
catalog_refpandas.DataFrame

A reference catalog to match objects/sources from.

catalog_targetpandas.DataFrame

A target catalog to match reference objects/sources to.

select_refnumpy.array

A boolean array of the same length as catalog_ref selecting the sources that can be matched.

select_targetnumpy.array

A boolean array of the same length as catalog_target selecting the sources that can be matched.

wcslsst.afw.image.SkyWcs

A coordinate system to convert catalog positions to sky coordinates. Only used if self.config.coords_ref_to_convert is set.

loggerlogging.Logger

A Logger for logging.

logging_n_rowsint

Number of matches to make before outputting incremental log message.

Returns:
catalog_out_refpandas.DataFrame

Reference matched catalog with indices of target matches.

catalog_out_targetpandas.DataFrame

Reference matched catalog with indices of target matches.

run(catalog_ref: DataFrame, catalog_target: DataFrame, wcs: SkyWcs = None, **kwargs) Struct

Match sources in a reference tract catalog with a target catalog.

Parameters:
catalog_refpandas.DataFrame

A reference catalog to match objects/sources from.

catalog_targetpandas.DataFrame

A target catalog to match reference objects/sources to.

wcslsst.afw.image.SkyWcs

A coordinate system to convert catalog positions to sky coordinates. Only needed if config.coords_ref_to_convert is used to convert reference catalog sky coordinates to pixel positions.

kwargsAdditional keyword arguments to pass to match.
Returns:
retStructlsst.pipe.base.Struct

A struct with output_ref and output_target attribute containing the output matched catalogs, as well as a dict

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

Context manager to log performance data for an arbitrary block of code.

Parameters:
namestr

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