SubtractBackgroundTask¶
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class
lsst.meas.algorithms.SubtractBackgroundTask(config=None, name=None, parentTask=None, log=None)¶ Bases:
lsst.pipe.base.TaskSubtract the background from an exposure
Methods Summary
emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. fitBackground(maskedImage[, nx, ny, algorithm])Estimate the background of a masked image 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.ConfigurableFieldfor this task.makeSubtask(name, **keyArgs)Create a subtask as a new instance as the nameattribute of this task.run(exposure[, background, stats, statsKeys])Fit and subtract the background of an exposure. timer(name[, logLevel])Context manager to log performance data for an arbitrary block of code. Methods Documentation
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emptyMetadata()¶ Empty (clear) the metadata for this Task and all sub-Tasks.
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fitBackground(maskedImage, nx=0, ny=0, algorithm=None)¶ Estimate the background of a masked image
Parameters: - maskedImage :
lsst.afw.image.maskedImage Masked image whose background is to be computed
- nx : ‘int`
Number of x bands; if 0 compute from width and
self.config.binSizeX- ny :
int Number of y bands; if 0 compute from height and
self.config.binSizeY- algorithm :
str Name of interpolation algorithm; if None use
self.config.algorithm
Returns: - bg :
lsst.afw.math.Background A fit background
Raises: - RuntimeError
Raised if lsst.afw.math.makeBackground returns None, an indicator of failure.
- maskedImage :
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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.tableCatalog 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.- schemacatalogs :
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getFullMetadata()¶ Get metadata for all tasks.
Returns: - metadata :
lsst.daf.base.PropertySetorTaskMetadata 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.timeMethodis 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.- metadata :
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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”.
- fullName :
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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.tableCatalog type) for this task.
See also
Task.getAllSchemaCatalogsNotes
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.
- schemaCatalogs :
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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.
- taskDict :
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classmethod
makeField(doc)¶ Make a
lsst.pex.config.ConfigurableFieldfor this task.Parameters: - doc :
str Help text for the field.
Returns: - configurableField :
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor 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")
- doc :
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makeSubtask(name, **keyArgs)¶ Create a subtask as a new instance as the
nameattribute 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 ofConfigurableFieldorRegistryField.- name :
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run(exposure, background=None, stats=True, statsKeys=None)¶ Fit and subtract the background of an exposure.
Parameters: - exposure :
lsst.afw.image.Exposure Exposure whose background is to be subtracted.
- background :
lsst.afw.math.BackgroundList Initial background model already subtracted. May be None if no background has been subtracted.
- stats :
bool If True then measure the mean and variance of the full background model and record the results in the exposure’s metadata.
- statsKeys :
tuple Key names used to store the mean and variance of the background in the exposure’s metadata (another tuple); if None then use (“BGMEAN”, “BGVAR”); ignored if stats is false.
Returns: - background :
lsst.afw.math.BackgroundLst Full background model (initial model with changes), contained in an
lsst.pipe.base.Struct.
- exposure :
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timer(name, logLevel=10)¶ Context manager to log performance data for an arbitrary block of code.
Parameters: See also
timer.logInfoExamples
Creating a timer context:
with self.timer("someCodeToTime"): pass # code to time
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