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: Get the full name of the task.

getTaskDict() → dict[str, weakref.ReferenceType[lsst.pipe.base.task.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, select_target: array = None, wcs: SkyWcs = None, logger: Logger = None, logging_n_rows: int = 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.
logLevelint: A logging level constant.

Navigation

MatchProbabilisticTask¶