CoaddSrcReferencesTask

class lsst.meas.base.CoaddSrcReferencesTask(butler=None, schema=None, **kwargs)

Bases: lsst.meas.base.BaseReferencesTask

Select reference sources by loading the “coadd source” dataset directly.

The name of the dataset to read is generated by appending the datasetSuffix attribute to the string Coadd_. The dataset is then read directly from disk using the Butler.

Parameters:
schema : lsst.afw.table.Schema, optional

The schema of the detection catalogs used as input to this one.

butler : lsst.daf.persistence.butler.Butler, optional

A Butler used to read the input schema from disk. Required if schema is None.

Notes

The task will set its own self.schema attribute to the schema of the output merged catalog.

Attributes Summary

datasetSuffix Suffix to append to Coadd_ to generate the dataset name (str).

Methods Summary

emptyMetadata() Empty (clear) the metadata for this Task and all sub-Tasks.
fetchInBox(dataRef, bbox, wcs[, pad]) Return reference sources within a given bounding box.
fetchInPatches(dataRef, patchList) Fetch the source catalog using the Butler.
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.
getSchema(butler) Return the schema for the reference sources.
getSchemaCatalogs() Get the schemas generated by this task.
getTaskDict() Get a dictionary of all tasks as a shallow copy.
getWcs(dataRef) Return the WCS for reference sources.
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.
subset(sources, bbox, wcs) Filter a list of sources to only those within the bounding box.
timer(name[, logLevel]) Context manager to log performance data for an arbitrary block of code.

Attributes Documentation

datasetSuffix = 'src'

Suffix to append to Coadd_ to generate the dataset name (str).

Methods Documentation

emptyMetadata()

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

fetchInBox(dataRef, bbox, wcs, pad=0)

Return reference sources within a given bounding box.

Reference sources are selected if they overlap a region defined by a pixel-coordinate bounding box and corresponding WCS.

Parameters:
dataRef : lsst.daf.persistence.ButlerDataRef

Butler data reference. The implied data ID must contain the tract key.

bbox : lsst.afw.geom.Box2I or lsst.afw.geom.Box2D

Defines the selection region in pixel coordinates.

wcs : lsst.afw.image.SkyWcs

Maps bbox to sky coordinates.

pad : int

a buffer to grow the bounding box by after catalogs have been loaded, but before filtering them to include just the given bounding box.

Returns:
sources : iterable of SourceRecord

Reference sources. May be any Python iterable, including a lazy iterator.

fetchInPatches(dataRef, patchList)

Fetch the source catalog using the Butler.

Parameters:
dataRef : lsst.daf.persistence.ButlerDataRef

Butler data reference. The implied data ID must contain the tract key.

patchList : list of lsst.skymap.PatchInfo

Patches for which to fetch reference sources.

Returns:
sources : iterable of SourceRecord

Reference sources. May be any Python iterable, including a lazy iterator.

Notes

An implementation of BaseReferencesTask.fetchInPatches that loads Coadd_ + datasetSuffix catalogs using the butler.

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

getFullName

getSchema(butler)

Return the schema for the reference sources.

Parameters:
butler : lsst.daf.persistence.butler.Butler

Data butler from which the schema will be fetched.

Notes

Must be available even before any data has been processed.

getSchemaCatalogs()

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()

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.

getWcs(dataRef)

Return the WCS for reference sources.

Parameters:
dataRef : lsst.daf.persistence.ButlerDataRef

Butler data reference. Must includ the trac in its dataId.

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("brief description of task")
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 ConfigurableField or RegistryField.

subset(sources, bbox, wcs)

Filter a list of sources to only those within the bounding box.

Parameters:
sources : iterable of SourceRecord

Reference sources. May be any Python iterable, including a lazy iterator.

bbox : lsst.afw.geom.Box2I or lsst.afw.geom.Box2D

Defines the selection region.

wcs : lsst.afw.image.SkyWcs

Maps bbox to sky coordinates.

Returns:
sources : iterable of SourceRecord

Filtered sources. May be any Python iterable, including a lazy iterator.

Notes

Instead of filtering sources directly via their positions, we filter based on the positions of parent objects, then include or discard all children based on their parent’s status. This is necessary to support replacement with noise in measurement, which requires all child sources have their parent present.

This is not a part of the required BaseReferencesTask interface; it’s a convenience function used in implementing fetchInBox that may be of use to subclasses.

timer(name, logLevel=10)

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