CfhtIsrTask¶
- class lsst.obs.cfht.cfhtIsrTask.CfhtIsrTask(**kwargs)¶
Bases:
IsrTask
Attributes Summary
Methods Summary
applyOverrides
(config)A hook to allow a task to change the values of its config after the camera-specific overrides are loaded but before any command-line overrides are applied.
convertIntToFloat
(exposure)Convert exposure image from uint16 to float.
darkCorrection
(exposure, darkExposure[, invert])Apply dark correction in place.
debugView
(exposure, stepname)Utility function to examine ISR exposure at different stages.
doLinearize
(detector)Check if linearization is needed for the detector cameraGeom.
Empty (clear) the metadata for this Task and all sub-Tasks.
ensureExposure
(inputExp[, camera, detectorNum])Ensure that the data returned by Butler is a fully constructed exp.
flatContext
(exp, flat[, dark])Context manager that applies and removes flats and darks, if the task is configured to apply them.
flatCorrection
(exposure, flatExposure[, invert])Apply flat correction in place.
Get schema catalogs for all tasks in the hierarchy, combining the results into a single dict.
Get metadata for all tasks.
Get the task name as a hierarchical name including parent task names.
getIsrExposure
(dataRef, datasetType[, ...])Retrieve a calibration dataset for removing instrument signature.
getName
()Get the name of the task.
Return resource configuration for this task.
Get the schemas generated by this 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.maskAmplifier
(ccdExposure, amp, defects)Identify bad amplifiers, saturated and suspect pixels.
maskAndInterpolateDefects
(exposure, ...)Mask and interpolate defects using mask plane "BAD", in place.
maskAndInterpolateNan
(exposure)"Mask and interpolate NaN/infs using mask plane "UNMASKEDNAN", in place.
maskDefect
(exposure, defectBaseList)Mask defects using mask plane "BAD", in place.
maskEdges
(exposure[, numEdgePixels, ...])Mask edge pixels with applicable mask plane.
maskNan
(exposure)Mask NaNs using mask plane "UNMASKEDNAN", in place.
maskNegativeVariance
(exposure)Identify and mask pixels with negative variance values.
measureBackground
(exposure[, IsrQaConfig])Measure the image background in subgrids, for quality control.
overscanCorrection
(ccdExposure, amp)Apply overscan correction in place.
parseAndRun
([args, config, log, doReturnResults])Parse an argument list and run the command.
readIsrData
(dataRef, rawExposure)Retrieve necessary frames for instrument signature removal.
roughZeroPoint
(exposure)Set an approximate magnitude zero point for the exposure.
run
(ccdExposure[, bias, linearizer, dark, ...])Perform instrument signature removal on an exposure
runDataRef
(sensorRef)Perform instrument signature removal on a ButlerDataRef of a Sensor.
runQuantum
(butlerQC, inputRefs, outputRefs)Method to do butler IO and or transforms to provide in memory objects for tasks run method
saturationDetection
(exposure, amp)Detect and mask saturated pixels in config.saturatedMaskName.
saturationInterpolation
(exposure)Interpolate over saturated pixels, in place.
suspectDetection
(exposure, amp)Detect and mask suspect pixels in config.suspectMaskName.
timer
(name[, logLevel])Context manager to log performance data for an arbitrary block of code.
updateVariance
(ampExposure, amp[, ...])Set the variance plane using the gain and read noise
writeConfig
(butler[, clobber, doBackup])Write the configuration used for processing the data, or check that an existing one is equal to the new one if present.
writeMetadata
(dataRef)Write the metadata produced from processing the data.
writePackageVersions
(butler[, clobber, ...])Compare and write package versions.
writeSchemas
(butler[, clobber, doBackup])Write the schemas returned by
lsst.pipe.base.Task.getAllSchemaCatalogs
.Attributes Documentation
Methods Documentation
- classmethod applyOverrides(config)¶
A hook to allow a task to change the values of its config after the camera-specific overrides are loaded but before any command-line overrides are applied.
- Parameters:
- configinstance of task’s
ConfigClass
Task configuration.
- configinstance of task’s
Notes
This is necessary in some cases because the camera-specific overrides may retarget subtasks, wiping out changes made in ConfigClass.setDefaults. See LSST Trac ticket #2282 for more discussion.
Warning
This is called by CmdLineTask.parseAndRun; other ways of constructing a config will not apply these overrides.
- convertIntToFloat(exposure)¶
Convert exposure image from uint16 to float.
If the exposure does not need to be converted, the input is immediately returned. For exposures that are converted to use floating point pixels, the variance is set to unity and the mask to zero.
- Parameters:
- exposure
lsst.afw.image.Exposure
The raw exposure to be converted.
- exposure
- Returns:
- newexposure
lsst.afw.image.Exposure
The input
exposure
, converted to floating point pixels.
- newexposure
- Raises:
- RuntimeError
Raised if the exposure type cannot be converted to float.
- darkCorrection(exposure, darkExposure, invert=False)¶
Apply dark correction in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- darkExposure
lsst.afw.image.Exposure
Dark exposure of the same size as
exposure
.- invert
Bool
, optional If True, re-add the dark to an already corrected image.
- exposure
- Raises:
- RuntimeError
Raised if either
exposure
ordarkExposure
do not have their dark time defined.
See also
lsst.ip.isr.isrFunctions.darkCorrection
- debugView(exposure, stepname)¶
Utility function to examine ISR exposure at different stages.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to view.
- stepname
str
State of processing to view.
- exposure
- doLinearize(detector)¶
Check if linearization is needed for the detector cameraGeom.
Checks config.doLinearize and the linearity type of the first amplifier.
- Parameters:
- detector
lsst.afw.cameraGeom.Detector
Detector to get linearity type from.
- detector
- Returns:
- doLinearize
Bool
If True, linearization should be performed.
- doLinearize
- ensureExposure(inputExp, camera=None, detectorNum=None)¶
Ensure that the data returned by Butler is a fully constructed exp.
ISR requires exposure-level image data for historical reasons, so if we did not recieve that from Butler, construct it from what we have, modifying the input in place.
- Parameters:
- inputExp
lsst.afw.image.Exposure
,lsst.afw.image.DecoratedImageU
, or
lsst.afw.image.ImageF
The input data structure obtained from Butler.
- camera
lsst.afw.cameraGeom.camera
, optional The camera associated with the image. Used to find the appropriate detector if detector is not already set.
- detectorNum
int
, optional The detector in the camera to attach, if the detector is not already set.
- inputExp
- Returns:
- inputExp
lsst.afw.image.Exposure
The re-constructed exposure, with appropriate detector parameters.
- inputExp
- Raises:
- TypeError
Raised if the input data cannot be used to construct an exposure.
- flatContext(exp, flat, dark=None)¶
Context manager that applies and removes flats and darks, if the task is configured to apply them.
- Parameters:
- exp
lsst.afw.image.Exposure
Exposure to process.
- flat
lsst.afw.image.Exposure
Flat exposure the same size as
exp
.- dark
lsst.afw.image.Exposure
, optional Dark exposure the same size as
exp
.
- exp
- Yields:
- exp
lsst.afw.image.Exposure
The flat and dark corrected exposure.
- exp
- flatCorrection(exposure, flatExposure, invert=False)¶
Apply flat correction in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- flatExposure
lsst.afw.image.Exposure
Flat exposure of the same size as
exposure
.- invert
Bool
, optional If True, unflatten an already flattened image.
- exposure
See also
lsst.ip.isr.isrFunctions.flatCorrection
- getAllSchemaCatalogs() Dict[str, Any] ¶
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.table
Catalog type) for all tasks in the hierarchy, from the top-level task down through all subtasks.
- schemacatalogs
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.
- 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
- getIsrExposure(dataRef, datasetType, dateObs=None, immediate=True)¶
Retrieve a calibration dataset for removing instrument signature.
- Parameters:
- dataRef
daf.persistence.butlerSubset.ButlerDataRef
DataRef of the detector data to find calibration datasets for.
- datasetType
str
Type of dataset to retrieve (e.g. ‘bias’, ‘flat’, etc).
- dateObs
str
, optional Date of the observation. Used to correct butler failures when using fallback filters.
- immediate
Bool
If True, disable butler proxies to enable error handling within this routine.
- dataRef
- Returns:
- exposure
lsst.afw.image.Exposure
Requested calibration frame.
- exposure
- Raises:
- RuntimeError
Raised if no matching calibration frame can be found.
- getResourceConfig() ResourceConfig | None ¶
Return resource configuration for this task.
- Returns:
- Object of type
ResourceConfig
orNone
if resource - configuration is not defined for this task.
- Object of type
- getSchemaCatalogs() Dict[str, Any] ¶
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.table
Catalog type) for this task.
- schemaCatalogs
See also
Task.getAllSchemaCatalogs
Notes
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.
- getTaskDict() Dict[str, ReferenceType[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
.
- maskAmplifier(ccdExposure, amp, defects)¶
Identify bad amplifiers, saturated and suspect pixels.
- Parameters:
- ccdExposure
lsst.afw.image.Exposure
Input exposure to be masked.
- amp
lsst.afw.table.AmpInfoCatalog
Catalog of parameters defining the amplifier on this exposure to mask.
- defects
lsst.ip.isr.Defects
List of defects. Used to determine if the entire amplifier is bad.
- ccdExposure
- Returns:
- badAmp
Bool
If this is true, the entire amplifier area is covered by defects and unusable.
- badAmp
- maskAndInterpolateDefects(exposure, defectBaseList)¶
Mask and interpolate defects using mask plane “BAD”, in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- defectBaseList
lsst.ip.isr.Defects
orlist
of lsst.afw.image.DefectBase
.List of defects to mask and interpolate.
- exposure
See also
lsst.ip.isr.isrTask.maskDefect
- maskAndInterpolateNan(exposure)¶
“Mask and interpolate NaN/infs using mask plane “UNMASKEDNAN”, in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- exposure
See also
lsst.ip.isr.isrTask.maskNan
- maskDefect(exposure, defectBaseList)¶
Mask defects using mask plane “BAD”, in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- defectBaseList
lsst.ip.isr.Defects
orlist
of lsst.afw.image.DefectBase
.List of defects to mask.
- exposure
Notes
Call this after CCD assembly, since defects may cross amplifier boundaries.
- maskEdges(exposure, numEdgePixels=0, maskPlane='SUSPECT', level='DETECTOR')¶
Mask edge pixels with applicable mask plane.
- maskNan(exposure)¶
Mask NaNs using mask plane “UNMASKEDNAN”, in place.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- exposure
Notes
We mask over all non-finite values (NaN, inf), including those that are masked with other bits (because those may or may not be interpolated over later, and we want to remove all NaN/infs). Despite this behaviour, the “UNMASKEDNAN” mask plane is used to preserve the historical name.
- maskNegativeVariance(exposure)¶
Identify and mask pixels with negative variance values.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- exposure
See also
lsst.ip.isr.isrFunctions.updateVariance
- measureBackground(exposure, IsrQaConfig=None)¶
Measure the image background in subgrids, for quality control.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- IsrQaConfig
lsst.ip.isr.isrQa.IsrQaConfig
Configuration object containing parameters on which background statistics and subgrids to use.
- exposure
- overscanCorrection(ccdExposure, amp)¶
Apply overscan correction in place.
This method does initial pixel rejection of the overscan region. The overscan can also be optionally segmented to allow for discontinuous overscan responses to be fit separately. The actual overscan subtraction is performed by the
lsst.ip.isr.isrFunctions.overscanCorrection
function, which is called here after the amplifier is preprocessed.- Parameters:
- ccdExposure
lsst.afw.image.Exposure
Exposure to have overscan correction performed.
- amp
lsst.afw.cameraGeom.Amplifer
The amplifier to consider while correcting the overscan.
- ccdExposure
- Returns:
- overscanResults
lsst.pipe.base.Struct
Result struct with components: -
imageFit
: scalar orlsst.afw.image.Image
Value or fit subtracted from the amplifier image data.
overscanFit
scalar orlsst.afw.image.Image
Value or fit subtracted from the overscan image data.
overscanImage
lsst.afw.image.Image
Image of the overscan region with the overscan correction applied. This quantity is used to estimate the amplifier read noise empirically.
- overscanResults
- Raises:
- RuntimeError
Raised if the
amp
does not contain raw pixel information.
See also
lsst.ip.isr.isrFunctions.overscanCorrection
- classmethod parseAndRun(args=None, config=None, log=None, doReturnResults=False)¶
Parse an argument list and run the command.
- Parameters:
- args
list
, optional - config
lsst.pex.config.Config
-type, optional Config for task. If
None
useTask.ConfigClass
.- log
logging.Logger
-type, optional Log. If
None
use the default log.- doReturnResults
bool
, optional If
True
, return the results of this task. Default isFalse
. This is only intended for unit tests and similar use. It can easily exhaust memory (if the task returns enough data and you call it enough times) and it will fail when using multiprocessing if the returned data cannot be pickled.
- args
- Returns:
- struct
lsst.pipe.base.Struct
Fields are:
argumentParser
the argument parser (
lsst.pipe.base.ArgumentParser
).parsedCmd
the parsed command returned by the argument parser’s
parse_args
method (argparse.Namespace
).taskRunner
the task runner used to run the task (an instance of
Task.RunnerClass
).resultList
results returned by the task runner’s
run
method, one entry per invocation (list
). This will typically be a list ofStruct
, each containing at least anexitStatus
integer (0 or 1); seeTask.RunnerClass
(TaskRunner
by default) for more details.
- struct
Notes
Calling this method with no arguments specified is the standard way to run a command-line task from the command-line. For an example see
pipe_tasks
bin/makeSkyMap.py
or almost any other file in that directory.If one or more of the dataIds fails then this routine will exit (with a status giving the number of failed dataIds) rather than returning this struct; this behaviour can be overridden by specifying the
--noExit
command-line option.
- readIsrData(dataRef, rawExposure)¶
Retrieve necessary frames for instrument signature removal.
Pre-fetching all required ISR data products limits the IO required by the ISR. Any conflict between the calibration data available and that needed for ISR is also detected prior to doing processing, allowing it to fail quickly.
- Parameters:
- dataRef
daf.persistence.butlerSubset.ButlerDataRef
Butler reference of the detector data to be processed
- rawExposure
afw.image.Exposure
The raw exposure that will later be corrected with the retrieved calibration data; should not be modified in this method.
- dataRef
- Returns:
- result
lsst.pipe.base.Struct
Result struct with components (which may be
None
): -bias
: bias calibration frame (afw.image.Exposure
) -linearizer
: functor for linearization(
ip.isr.linearize.LinearizeBase
)crosstalkSources
: list of possible crosstalk sources (list
)dark
: dark calibration frame (afw.image.Exposure
)flat
: flat calibration frame (afw.image.Exposure
)bfKernel
: Brighter-Fatter kernel (numpy.ndarray
)defects
: list of defects (lsst.ip.isr.Defects
)fringes
:lsst.pipe.base.Struct
with components: -fringes
: fringe calibration frame (afw.image.Exposure
) -seed
: random seed derived from the ccdExposureId for randomnumber generator (
uint32
).opticsTransmission
:lsst.afw.image.TransmissionCurve
A
TransmissionCurve
that represents the throughput of the optics, to be evaluated in focal-plane coordinates.
filterTransmission
lsst.afw.image.TransmissionCurve
A
TransmissionCurve
that represents the throughput of the filter itself, to be evaluated in focal-plane coordinates.
sensorTransmission
lsst.afw.image.TransmissionCurve
A
TransmissionCurve
that represents the throughput of the sensor itself, to be evaluated in post-assembly trimmed detector coordinates.
atmosphereTransmission
lsst.afw.image.TransmissionCurve
A
TransmissionCurve
that represents the throughput of the atmosphere, assumed to be spatially constant.
illumMaskedImage
illumination correction image(
lsst.afw.image.MaskedImage
)
- result
- Raises:
- NotImplementedError
Raised if a per-amplifier brighter-fatter kernel is requested by the configuration.
- roughZeroPoint(exposure)¶
Set an approximate magnitude zero point for the exposure.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- exposure
- run(ccdExposure, bias=None, linearizer=None, dark=None, flat=None, defects=None, fringes=None, bfKernel=None, **kwds)¶
Perform instrument signature removal on an exposure
Steps include: - Detect saturation, apply overscan correction, bias, dark and flat - Perform CCD assembly - Interpolate over defects, saturated pixels and all NaNs - Persist the ISR-corrected exposure as “postISRCCD” if
config.doWrite is True
- Parameters:
- ccdExposure
lsst.afw.image.Exposure
Detector data.
- bias
lsst.afw.image.exposure
Exposure of bias frame.
- linearizer
lsst.ip.isr.LinearizeBase
callable Linearizing functor; a subclass of lsst.ip.isr.LinearizeBase.
- dark
lsst.afw.image.exposure
Exposure of dark frame.
- flat
lsst.afw.image.exposure
Exposure of flatfield.
- defects
list
list of detects
- fringes
lsst.afw.image.Exposure
or listlsst.afw.image.Exposure
exposure of fringe frame or list of fringe exposure
- bfKernelNone
kernel used for brighter-fatter correction; currently unsupported
- **kwds
dict
additional kwargs forwarded to IsrTask.run.
- ccdExposure
- Returns:
- struct
lsst.pipe.base.Struct
with fields: exposure: the exposure after application of ISR
- struct
- runDataRef(sensorRef)¶
Perform instrument signature removal on a ButlerDataRef of a Sensor.
This method contains the
CmdLineTask
interface to the ISR processing. All IO is handled here, freeing therun()
method to manage only pixel-level calculations. The steps performed are: - Read in necessary detrending/isr/calibration data. - Process raw exposure inrun()
. - Persist the ISR-corrected exposure as “postISRCCD” ifconfig.doWrite=True.
- Parameters:
- sensorRef
daf.persistence.butlerSubset.ButlerDataRef
DataRef of the detector data to be processed
- sensorRef
- Returns:
- result
lsst.pipe.base.Struct
Result struct with component: -
exposure
:afw.image.Exposure
The fully ISR corrected exposure.
- result
- Raises:
- RuntimeError
Raised if a configuration option is set to True, but the required calibration data does not exist.
- runQuantum(butlerQC, inputRefs, outputRefs)¶
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
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
- saturationDetection(exposure, amp)¶
Detect and mask saturated pixels in config.saturatedMaskName.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process. Only the amplifier DataSec is processed.
- amp
lsst.afw.table.AmpInfoCatalog
Amplifier detector data.
- exposure
See also
lsst.ip.isr.isrFunctions.makeThresholdMask
- saturationInterpolation(exposure)¶
Interpolate over saturated pixels, in place.
This method should be called after
saturationDetection
, to ensure that the saturated pixels have been identified in the SAT mask. It should also be called afterassembleCcd
, since saturated regions may cross amplifier boundaries.- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process.
- exposure
See also
lsst.ip.isr.isrTask.saturationDetection
lsst.ip.isr.isrFunctions.interpolateFromMask
- suspectDetection(exposure, amp)¶
Detect and mask suspect pixels in config.suspectMaskName.
- Parameters:
- exposure
lsst.afw.image.Exposure
Exposure to process. Only the amplifier DataSec is processed.
- amp
lsst.afw.table.AmpInfoCatalog
Amplifier detector data.
- exposure
See also
lsst.ip.isr.isrFunctions.makeThresholdMask
Notes
Suspect pixels are pixels whose value is greater than amp.getSuspectLevel(). This is intended to indicate pixels that may be affected by unknown systematics; for example if non-linearity corrections above a certain level are unstable then that would be a useful value for suspectLevel. A value of
nan
indicates that no such level exists and no pixels are to be masked as suspicious.
- 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
- updateVariance(ampExposure, amp, overscanImage=None, ptcDataset=None)¶
Set the variance plane using the gain and read noise
The read noise is calculated from the
overscanImage
if thedoEmpiricalReadNoise
option is set in the configuration; otherwise the value from the amplifier data is used.- Parameters:
- ampExposure
lsst.afw.image.Exposure
Exposure to process.
- amp
lsst.afw.table.AmpInfoRecord
orFakeAmp
Amplifier detector data.
- overscanImage
lsst.afw.image.MaskedImage
, optional. Image of overscan, required only for empirical read noise.
- ptcDataset
lsst.ip.isr.PhotonTransferCurveDataset
, optional PTC dataset containing the gains and read noise.
- ampExposure
- Raises:
- RuntimeError
Raised if either
usePtcGains
ofusePtcReadNoise
areTrue
, but ptcDataset is not provided.Raised if
`doEmpiricalReadNoise
isTrue
butoverscanImage
isNone
.
See also
lsst.ip.isr.isrFunctions.updateVariance
- writeConfig(butler, clobber=False, doBackup=True)¶
Write the configuration used for processing the data, or check that an existing one is equal to the new one if present.
- Parameters:
- butler
lsst.daf.persistence.Butler
Data butler used to write the config. The config is written to dataset type
CmdLineTask._getConfigName
.- clobber
bool
, optional A boolean flag that controls what happens if a config already has been saved:
- doBackup
bool
, optional Set to
True
to backup the config files if clobbering.
- butler
- writeMetadata(dataRef)¶
Write the metadata produced from processing the data.
- Parameters:
- dataRef
Butler data reference used to write the metadata. The metadata is written to dataset type
CmdLineTask._getMetadataName
.
- writePackageVersions(butler, clobber=False, doBackup=True, dataset='packages')¶
Compare and write package versions.
- Parameters:
- butler
lsst.daf.persistence.Butler
Data butler used to read/write the package versions.
- clobber
bool
, optional A boolean flag that controls what happens if versions already have been saved:
- doBackup
bool
, optional If
True
and clobbering, old package version files are backed up.- dataset
str
, optional Name of dataset to read/write.
- butler
- Raises:
- TaskError
Raised if there is a version mismatch with current and persisted lists of package versions.
Notes
Note that this operation is subject to a race condition.
- writeSchemas(butler, clobber=False, doBackup=True)¶
Write the schemas returned by
lsst.pipe.base.Task.getAllSchemaCatalogs
.- Parameters:
- butler
lsst.daf.persistence.Butler
Data butler used to write the schema. Each schema is written to the dataset type specified as the key in the dict returned by
getAllSchemaCatalogs
.- clobber
bool
, optional A boolean flag that controls what happens if a schema already has been saved:
- doBackup
bool
, optional Set to
True
to backup the schema files if clobbering.
- butler
Notes
If
clobber
isFalse
and an existing schema does not match a current schema, then some schemas may have been saved successfully and others may not, and there is no easy way to tell which is which.