MeasureDefectsTask¶
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class
lsst.cp.pipe.MeasureDefectsTask(*, config: Optional[PipelineTaskConfig] = None, log: Optional[Union[logging.Logger, LsstLogAdapter]] = None, initInputs: Optional[Dict[str, Any]] = None, **kwargs)¶ Bases:
lsst.pipe.base.PipelineTaskMeasure the defects from one exposure.
Attributes Summary
canMultiprocessMethods Summary
debugHistogram(stepname, ampImage, …)Make a histogram of the distribution of pixel values for each amp. debugView(stepname, ampImage, defects, detector)Plot the defects found by the task. emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. findHotAndColdPixels(exp, nSigma)Find hot and cold pixels in an image. 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. getResourceConfig()Return resource configuration for 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.maskBlocksIfIntermitentBadPixelsInColumn(defects)Mask blocks in a column if there are on-and-off bad pixels run(inputExp, camera)Measure one exposure for defects. runQuantum(butlerQC, inputRefs, outputRefs)Method to do butler IO and or transforms 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
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canMultiprocess= True¶
Methods Documentation
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debugHistogram(stepname, ampImage, nSigmaUsed, exp)¶ Make a histogram of the distribution of pixel values for each amp.
The main image data histogram is plotted in blue. Edge pixels, if masked, are in red. Note that masked edge pixels do not contribute to the underflow and overflow numbers.
Note that this currently only supports the 16-amp LSST detectors.
Parameters:
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debugView(stepname, ampImage, defects, detector)¶ Plot the defects found by the task.
Parameters: - stepname :
str Debug frame to request.
- ampImage :
lsst.afw.image.MaskedImage Amplifier image to display.
- defects :
lsst.ip.isr.Defects The defects to plot.
- detector :
lsst.afw.cameraGeom.Detector Detector holding camera geometry.
- stepname :
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emptyMetadata() → None¶ Empty (clear) the metadata for this Task and all sub-Tasks.
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findHotAndColdPixels(exp, nSigma)¶ Find hot and cold pixels in an image.
Using config-defined thresholds on a per-amp basis, mask pixels that are nSigma above threshold in dark frames (hot pixels), or nSigma away from the clipped mean in flats (hot & cold pixels).
Parameters: Returns: - defects :
lsst.ip.isr.Defects The defects found in the image.
- defects :
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getFullMetadata() → lsst.pipe.base._task_metadata.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.
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() → 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 :
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getResourceConfig() → Optional[ResourceConfig]¶ Return resource configuration for this task.
Returns: - Object of type
ResourceConfigorNoneif resource - configuration is not defined for this task.
- Object of type
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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 :
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classmethod
makeField(doc: str) → lsst.pex.config.configurableField.ConfigurableField¶ 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: str, **keyArgs) → None¶ 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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maskBlocksIfIntermitentBadPixelsInColumn(defects)¶ Mask blocks in a column if there are on-and-off bad pixels
If there’s a column with on and off bad pixels, mask all the pixels in between, except if there is a large enough gap of consecutive good pixels between two bad pixels in the column.
Parameters: - defects :
lsst.ip.isr.Defects The defects found in the image so far
Returns: - defects :
lsst.ip.isr.Defects If the number of bad pixels in a column is not larger or equal than self.config.badPixelColumnThreshold, the input list is returned. Otherwise, the defects list returned will include boxes that mask blocks of on-and-of pixels.
- defects :
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run(inputExp, camera)¶ Measure one exposure for defects.
Parameters: - inputExp :
lsst.afw.image.Exposure Exposure to examine.
- camera :
lsst.afw.cameraGeom.Camera Camera to use for metadata.
Returns: - results :
lsst.pipe.base.Struct Results struct containing:
outputDefectsThe defects measured from this exposure (
lsst.ip.isr.Defects).
- inputExp :
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runQuantum(butlerQC: lsst.pipe.base.butlerQuantumContext.ButlerQuantumContext, inputRefs: lsst.pipe.base.connections.InputQuantizedConnection, outputRefs: lsst.pipe.base.connections.OutputQuantizedConnection) → None¶ Method to do butler IO and or transforms to provide in memory objects for tasks run method
Parameters: - butlerQC :
ButlerQuantumContext 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
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined input/prerequisite connections.- outputRefs :
OutputQuantizedConnection Datastructure whose attribute names are the names that identify connections defined in corresponding
PipelineTaskConnectionsclass. The values of these attributes are thelsst.daf.butler.DatasetRefobjects associated with the defined output connections.
- butlerQC :
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timer(name: str, logLevel: int = 10) → Iterator[None]¶ Context manager to log performance data for an arbitrary block of code.
Parameters: See also
timer.logInfo
Examples
Creating a timer context:
with self.timer("someCodeToTime"): pass # code to time
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