CpCtiSolveTask¶
- class lsst.cp.pipe.CpCtiSolveTask(**kwargs)¶
Bases:
PipelineTaskCombine CTI measurements to a final calibration.
This task uses the extended pixel edge response (EPER) method as described by Snyder et al. 2021, Journal of Astronimcal Telescopes, Instruments, and Systems, 7, 048002. doi:10.1117/1.JATIS.7.4.048002
Attributes Summary
Methods Summary
debugView(ampName, signal, test)Debug method for global CTI test value.
Empty (clear) the metadata for this Task and all sub-Tasks.
findTraps(inputMeasurements, calib, detector)Solve for serial trap parameters.
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.ConfigurableFieldfor this task.makeSubtask(name, **keyArgs)Create a subtask as a new instance as the
nameattribute of this task.run(inputMeasurements, camera, inputDims)Solve for charge transfer inefficiency from overscan measurements.
runQuantum(butlerQC, inputRefs, outputRefs)Do butler IO and transform to provide in memory objects for tasks
runmethod.solveGlobalCti(inputMeasurements, calib, ...)Solve for global CTI constant.
solveLocalOffsets(inputMeasurements, calib, ...)Solve for local (pixel-to-pixel) electronic offsets.
timer(name[, logLevel])Context manager to log performance data for an arbitrary block of code.
Attributes Documentation
Methods Documentation
- debugView(ampName, signal, test)¶
Debug method for global CTI test value.
- findTraps(inputMeasurements, calib, detector)¶
Solve for serial trap parameters.
- Parameters:
- inputMeasurements
list[dict] List of overscan measurements from each input exposure. Each dictionary is nested within a top level ‘CTI’ key, with measurements organized by amplifier name, containing keys:
- calib
lsst.ip.isr.DeferredChargeCalib Calibration to populate with values.
- detector
lsst.afw.cameraGeom.Detector Detector object containing the geometry information for the amplifiers.
- inputMeasurements
- Returns:
- calib
lsst.ip.isr.DeferredChargeCalib Populated calibration.
- calib
- Raises:
- RuntimeError
Raised if no data remains after flux filtering.
Notes
The original CTISIM code uses a data model in which the “overscan” consists of the standard serial overscan bbox with the values for the last imaging data column prepended to that list. This version of the code keeps the overscan and imaging sections separate, and so a -1 offset is needed to ensure that the same columns are used for fitting between this code and CTISIM. This offset removes that last imaging data column from the count.
- 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.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.
- 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
- 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.ConfigurableFieldfor this task.- Parameters:
- doc
str Help text for the field.
- doc
- Returns:
- configurableField
lsst.pex.config.ConfigurableField A
ConfigurableFieldfor 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
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.
- name
Notes
The subtask must be defined by
Task.config.name, an instance ofConfigurableFieldorRegistryField.
- run(inputMeasurements, camera, inputDims)¶
Solve for charge transfer inefficiency from overscan measurements.
- Parameters:
- inputMeasurements
list[dict] List of overscan measurements from each input exposure. Each dictionary is nested within a top level ‘CTI’ key, with measurements organized by amplifier name, containing keys:
- camera
lsst.afw.cameraGeom.Camera Camera geometry to use to find detectors.
- inputDims
list[dict] List of input dimensions from each input exposure.
- inputMeasurements
- Returns:
- results
lsst.pipe.base.Struct Result struct containing:
outputCalibFinal CTI calibration data (
lsst.ip.isr.DeferredChargeCalib).
- results
- Raises:
- RuntimeError
Raised if data from multiple detectors are passed in.
- runQuantum(butlerQC, inputRefs, outputRefs)¶
Do butler IO and transform to provide in memory objects for tasks
runmethod.- 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
- solveGlobalCti(inputMeasurements, calib, detector)¶
Solve for global CTI constant.
This method solves for the mean global CTI, b.
- Parameters:
- inputMeasurements
list[dict] List of overscan measurements from each input exposure. Each dictionary is nested within a top level ‘CTI’ key, with measurements organized by amplifier name, containing keys:
- calib
lsst.ip.isr.DeferredChargeCalib Calibration to populate with values.
- detector
lsst.afw.cameraGeom.Detector Detector object containing the geometry information for the amplifiers.
- inputMeasurements
- Returns:
- calib
lsst.ip.isr.DeferredChargeCalib Populated calibration.
- calib
- Raises:
- RuntimeError
Raised if no data remains after flux filtering.
Notes
The original CTISIM code uses a data model in which the “overscan” consists of the standard serial overscan bbox with the values for the last imaging data column prepended to that list. This version of the code keeps the overscan and imaging sections separate, and so a -1 offset is needed to ensure that the same columns are used for fitting between this code and CTISIM. This offset removes that last imaging data column from the count.
- solveLocalOffsets(inputMeasurements, calib, detector)¶
Solve for local (pixel-to-pixel) electronic offsets.
This method fits for au_L, the local electronic offset decay time constant, and A_L, the local electronic offset constant of proportionality.
- Parameters:
- inputMeasurements
list[dict] List of overscan measurements from each input exposure. Each dictionary is nested within a top level ‘CTI’ key, with measurements organized by amplifier name, containing keys:
- calib
lsst.ip.isr.DeferredChargeCalib Calibration to populate with values.
- detector
lsst.afw.cameraGeom.Detector Detector object containing the geometry information for the amplifiers.
- inputMeasurements
- Returns:
- calib
lsst.ip.isr.DeferredChargeCalib Populated calibration.
- calib
- Raises:
- RuntimeError
Raised if no data remains after flux filtering.
Notes
The original CTISIM code (https://github.com/Snyder005/ctisim) uses a data model in which the “overscan” consists of the standard serial overscan bbox with the values for the last imaging data column prepended to that list. This version of the code keeps the overscan and imaging sections separate, and so a -1 offset is needed to ensure that the same columns are used for fitting between this code and CTISIM. This offset removes that last imaging data column from the count.