FringeTask¶
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class
lsst.ip.isr.FringeTask(config: Optional[Config] = None, name: Optional[str] = None, parentTask: Optional[Task] = None, log: Optional[Union[logging.Logger, lsst.utils.logging.LsstLogAdapter]] = None)¶ Bases:
lsst.pipe.base.TaskTask to remove fringes from a science exposure
We measure fringe amplitudes at random positions on the science exposure and at the same positions on the (potentially multiple) fringe frames and solve for the scales simultaneously.
Methods Summary
checkFilter(exposure)Check whether we should fringe-subtract the science exposure. emptyMetadata()Empty (clear) the metadata for this Task and all sub-Tasks. generatePositions(exposure, rng)Generate a random distribution of positions for measuring fringe amplitudes. 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. getTaskDict()Get a dictionary of all tasks as a shallow copy. loadFringes(fringeExp[, expId, assembler])Pack the fringe data into a Struct. 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.measureExposure(exposure, positions[, title])Measure fringe amplitudes for an exposure removePedestal(fringe)Remove pedestal from fringe exposure. run(exposure, fringes[, seed])Remove fringes from the provided science exposure. solve(science, fringes)Solve for the scale factors with iterative clipping. subtract(science, fringes, solution)Subtract the fringes. timer(name, logLevel)Context manager to log performance data for an arbitrary block of code. Methods Documentation
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checkFilter(exposure)¶ Check whether we should fringe-subtract the science exposure.
Parameters: - exposure :
lsst.afw.image.Exposure Exposure to check the filter of.
Returns: - needsFringe :
bool If True, then the exposure has a filter listed in the configuration, and should have the fringe applied.
- exposure :
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emptyMetadata() → None¶ Empty (clear) the metadata for this Task and all sub-Tasks.
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generatePositions(exposure, rng)¶ Generate a random distribution of positions for measuring fringe amplitudes.
Parameters: - exposure :
lsst.afw.image.Exposure Exposure to measure the positions on.
- rng :
numpy.random.RandomState Random number generator to use.
Returns: - positions :
numpy.array Two-dimensional array containing the positions to sample for fringe amplitudes.
- exposure :
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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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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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loadFringes(fringeExp, expId=None, assembler=None)¶ Pack the fringe data into a Struct.
This method moves the struct parsing code into a butler generation agnostic handler.
Parameters: - fringeExp :
lsst.afw.exposure.Exposure The exposure containing the fringe data.
- expId :
int, optional Exposure id to be fringe corrected, used to set RNG seed.
- assembler :
lsst.ip.isr.AssembleCcdTask, optional An instance of AssembleCcdTask (for assembling fringe frames).
Returns: - fringeExp :
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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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measureExposure(exposure, positions, title='Fringe')¶ Measure fringe amplitudes for an exposure
The fringe amplitudes are measured as the statistic within a square aperture. The statistic within a larger aperture are subtracted so as to remove the background.
Parameters: - exposure :
lsst.afw.image.Exposure Exposure to measure the positions on.
- positions :
numpy.array Two-dimensional array containing the positions to sample for fringe amplitudes.
- title :
str, optional Title used for debug out plots.
Returns: - fringes :
numpy.array Array of measured exposure values at each of the positions supplied.
- exposure :
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removePedestal(fringe)¶ Remove pedestal from fringe exposure.
Parameters: - fringe :
lsst.afw.image.Exposure Fringe data to subtract the pedestal value from.
- fringe :
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run(exposure, fringes, seed=None)¶ Remove fringes from the provided science exposure.
Primary method of FringeTask. Fringes are only subtracted if the science exposure has a filter listed in the configuration.
Parameters: Returns: - solution :
np.array Fringe solution amplitudes for each input fringe frame.
- rms :
float RMS error for the fit solution for this exposure.
- solution :
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solve(science, fringes)¶ Solve for the scale factors with iterative clipping.
Parameters: - science :
numpy.array Array of measured science image values at each of the positions supplied.
- fringes :
numpy.array Array of measured fringe values at each of the positions supplied.
Returns: - solution :
np.array Fringe solution amplitudes for each input fringe frame.
- rms :
float RMS error for the fit solution for this exposure.
- science :
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subtract(science, fringes, solution)¶ Subtract the fringes.
Parameters: - science :
lsst.afw.image.Exposure Science exposure from which to remove fringes.
- fringes :
lsst.afw.image.Exposureorlistthereof Calibration fringe files containing master fringe frames.
- solution :
np.array Fringe solution amplitudes for each input fringe frame.
Raises: - RuntimeError
Raised if the number of fringe frames does not match the number of measured amplitudes.
- science :
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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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