MapDiaSourceTask¶

class lsst.ap.association.MapDiaSourceTask(inputSchema, **kwargs)¶

Bases: lsst.ap.association.MapApDataTask

Task specific for copying columns from science pipelines catalogs, calibrating them, for use in ap_association and the APDB.

This task also copies information from the exposure such as the ExpsoureId and the exposure date as specified in the DPDD.

Methods Summary

`bitPackFlags`(inputRecord, outputRecord)	Pack requested flag columns in inputRecord into single columns in outputRecord.
`calibrateFluxes`(inputRecord, outputRecord, …)	Copy flux values into an output record and calibrate them.
`computeBBoxSize`(inputRecord, outputRecord)	Compute the size of a square bbox that fully contains the detection footprint.
`computeDipoleFluxes`(inputRecord, …)	Calibrate and compute dipole mean flux and diff flux.
`computeDipoleSep`(inputRecord, outputRecord, wcs)	Convert the dipole separation from pixels to arcseconds.
`emptyMetadata`()	Empty (clear) the metadata for this Task and all sub-Tasks.
`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.
`makeSubtask`(name, **keyArgs)	Create a subtask as a new instance as the `name` attribute of this task.
`run`(inputCatalog, exposure[, return_pandas])	Copy data from the inputCatalog into an output catalog with requested columns.
`timer`(name[, logLevel])	Context manager to log performance data for an arbitrary block of code.

Methods Documentation

bitPackFlags(inputRecord, outputRecord)¶

Pack requested flag columns in inputRecord into single columns in outputRecord.

Parameters:	inputRecord : `lsst.afw.table.SourceRecord` Record to copy flux values from. outputRecord : `lsst.afw.table.SourceRecord` Record to copy and calibrate values into.

calibrateFluxes(inputRecord, outputRecord, photoCalib)¶

Copy flux values into an output record and calibrate them.

Parameters:	inputRecord : `lsst.afw.table.SourceRecord` Record to copy flux values from. outputRecord : `lsst.afw.table.SourceRecord` Record to copy and calibrate values into. photoCalib : `lsst.afw.image.PhotoCalib` Calibration object from the difference exposure.

computeBBoxSize(inputRecord, outputRecord)¶

Compute the size of a square bbox that fully contains the detection footprint.

Parameters:	inputRecord : `lsst.afw.table.SourceRecord` Record to copy flux values from. outputRecord : `lsst.afw.table.SourceRecord` Record to copy and calibrate values into.

computeDipoleFluxes(inputRecord, outputRecord, photoCalib)¶

Calibrate and compute dipole mean flux and diff flux.

Parameters:	inputRecord : `lsst.afw.table.SourceRecord` Record to copy flux values from. outputRecord : `lsst.afw.table.SourceRecord` Record to copy and calibrate values into. photoCalib `lsst.afw.image.PhotoCalib` Calibration object from the difference exposure.

computeDipoleSep(inputRecord, outputRecord, wcs)¶

Convert the dipole separation from pixels to arcseconds.

Parameters:	inputRecord : `lsst.afw.table.SourceRecord` Record to copy flux values from. outputRecord : `lsst.afw.table.SourceRecord` Record to copy and calibrate values into. wcs : `lsst.afw.geom.SkyWcs` Wcs of image inputRecords was observed.

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

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 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.

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.

run(inputCatalog, exposure, return_pandas=False)¶

Copy data from the inputCatalog into an output catalog with requested columns.

Parameters:	inputCatalog : `lsst.afw.table.SourceCatalog` Input catalog with data to be copied into new output catalog. exposure: `lsst.afw.image.Exposure` Exposure with containing the PhotoCalib object relevant to this catalog. return_pandas : `bool` Return `pandas.DataFrame` instead of `lsst.afw.table.SourceCatalog`
Returns:	outputCatalog: `lsst.afw.table.SourceCatalog` or `pandas.DataFrame` Output catalog with data copied from input and new column names.

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

MapDiaSourceTask¶