FinalizeCharacterizationTask¶
- class lsst.pipe.tasks.finalizeCharacterization.FinalizeCharacterizationTask(initInputs=None, **kwargs)¶
Bases:
PipelineTask
Run final characterization on exposures.
Attributes Summary
Methods Summary
compute_psf_and_ap_corr_map
(visit, detector, ...)Compute psf model and aperture correction map for a single exposure.
concat_isolated_star_cats
(band, ...)Concatenate isolated star catalogs and make reserve selection.
Empty (clear) the metadata for this Task and all sub-Tasks.
Get metadata for all tasks.
Get the task name as a hierarchical name including parent task names.
getName
()Get the name of the task.
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
(visit, band, isolated_star_cat_dict, ...)Run the FinalizeCharacterizationTask.
runQuantum
(butlerQC, inputRefs, outputRefs)Do butler IO and transform to provide in memory objects for tasks
run
method.timer
(name[, logLevel])Context manager to log performance data for an arbitrary block of code.
Attributes Documentation
Methods Documentation
- compute_psf_and_ap_corr_map(visit, detector, exposure, src, isolated_source_table)¶
Compute psf model and aperture correction map for a single exposure.
- Parameters:
- visit
int
Visit number (for logging).
- detector
int
Detector number (for logging).
- exposure
lsst.afw.image.ExposureF
- src
lsst.afw.table.SourceCatalog
- isolated_source_table
np.ndarray
- visit
- Returns:
- psf
lsst.meas.algorithms.ImagePsf
PSF Model
- ap_corr_map
lsst.afw.image.ApCorrMap
Aperture correction map.
- measured_src
lsst.afw.table.SourceCatalog
Updated source catalog with measurements, flags and aperture corrections.
- psf
- concat_isolated_star_cats(band, isolated_star_cat_dict, isolated_star_source_dict)¶
Concatenate isolated star catalogs and make reserve selection.
- Parameters:
- Returns:
- isolated_table
np.ndarray
(N,) Table of isolated stars, with indexes to isolated sources.
- isolated_source_table
np.ndarray
(M,) Table of isolated sources, with indexes to isolated stars.
- isolated_table
- getFullMetadata() 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.
- metadata
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”.
- fullName
- getName() str ¶
Get the name of the task.
- Returns:
- taskName
str
Name of the task.
- taskName
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:
- taskDict
dict
Dictionary containing full task name: task object for the top-level task and all subtasks, sub-subtasks, etc.
- taskDict
- classmethod makeField(doc: str) ConfigurableField ¶
Make a
lsst.pex.config.ConfigurableField
for this task.- Parameters:
- doc
str
Help text for the field.
- doc
- Returns:
- configurableField
lsst.pex.config.ConfigurableField
A
ConfigurableField
for this task.
- configurableField
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:
- 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
.
- name
Notes
The subtask must be defined by
Task.config.name
, an instance ofConfigurableField
orRegistryField
.
- run(visit, band, isolated_star_cat_dict, isolated_star_source_dict, src_dict, calexp_dict)¶
Run the FinalizeCharacterizationTask.
- Parameters:
- visit
int
Visit number. Used in the output catalogs.
- band
str
Band name. Used to select reserved stars.
- isolated_star_cat_dict
dict
Per-tract dict of isolated star catalog handles.
- isolated_star_source_dict
dict
Per-tract dict of isolated star source catalog handles.
- src_dict
dict
Per-detector dict of src catalog handles.
- calexp_dict
dict
Per-detector dict of calibrated exposure handles.
- visit
- Returns:
- struct
lsst.pipe.base.struct
Struct with outputs for persistence.
- struct
- Raises:
- NoWorkFound
Raised if the selector returns no good sources.
- runQuantum(butlerQC, inputRefs, outputRefs)¶
Do butler IO and transform to provide in memory objects for tasks
run
method.- Parameters:
- butlerQC
QuantumContext
A butler which is specialized to operate in the context of a
lsst.daf.butler.Quantum
.- inputRefs
InputQuantizedConnection
Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnections
class. The values of these attributes are thelsst.daf.butler.DatasetRef
objects associated with the defined input/prerequisite connections.- outputRefs
OutputQuantizedConnection
Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnections
class. The values of these attributes are thelsst.daf.butler.DatasetRef
objects associated with the defined output connections.
- butlerQC