ElectrostaticBrighterFatterDistortionMatrix

class lsst.ip.isr.ElectrostaticBrighterFatterDistortionMatrix(camera=None, inputRange=1, fitRange=None, **kwargs)

Bases: IsrCalib

Calibration of brighter-fatter kernels for an instrument.

ampKernels are the kernels for each amplifier in a detector, as generated by having level == 'AMP'.

detectorKernel is the kernel generated for a detector as a whole, as generated by having level == 'DETECTOR'.

makeDetectorKernelFromAmpwiseKernels is a method to generate the kernel for a detector, constructed by averaging together the ampwise kernels in the detector. The existing application code is only defined for kernels with level == 'DETECTOR', so this method is used if the supplied kernel was built with level == 'AMP'.

Parameters:

cameralsst.afw.cameraGeom.Camera

Camera describing detector geometry.

levelstr

Level the kernels will be generated for.

loglogging.Logger, optional

Log to write messages to.

**kwargs

Parameters to pass to parent constructor.

Notes

Version 1.1 adds the expIdMask property, and substitutes means and variances for rawMeans and rawVariances from the PTC dataset.

inputRangeint

The size of the input aMatrix shape in each dimension.

fitRangeint

The size of the input aMatrix shape in each dimension that is used for fitting the electrostatic model. Must be less than or equal to inputRange.

badAmpslist, [str]

List of bad amplifiers names.

gaindict, [str,`float`]

Dictionary keyed by amp names containing the gains inherited from the inputPTC.

aMatrixnumpy.ndarray

The average aMatrix inherited from the inputPTC’s good amplifiers.

aMatrixSigmanumpy.ndarray

The uncertainty matrix used to weight the fit.

aMatrixModelnumpy.ndarray

The modeled aMatrix based on the electrostatic fit parameters.

aMatrixSumfloat

The sum of the symmetrized aMatrix.

aMatrixModelSumfloat

The sum of the symmetrized aMatrixModel.

modelNormalizationlist

A two element array of the multiplicative and additive normalization to the aMatrixModel.

usedPixelsnumpy.ndarray, [bool]

Array of shape like aMatrix containing the mask indicating which elements of the input aMatrix were used to fit the electrostatic model.

fitParamNameslist, [str]

List of all the parameter names in the electrostatic fit.

freeFitParamNameslist, [str]

List of the parameter names that were allowed to vary during the electrostatic fit.

fitParamsdict, [str, float]

Dictionary containing each named parameter and its final fitted value.

fitParamErrorsdict, [str, float]

Dictionary containing each named parameter and its estimated fitting error.

fitChi2float

The computed chi squared between the data and the final model.

fitReducedChi2float

The computed reduced chi squared between the data and the final model.

fitParamCovMatrixnumpy.ndarray

The estimated covariance matrix between all fit parameters.

athnumpy.ndarray

something…

athMinusBetanumpy.ndarray

something…

aNnumpy.ndarray

Array of shape (fitRange, fitRange) containing the computed North component of the pixel boundary shift.

aSnumpy.ndarray

Array of shape (fitRange, fitRange) containing the computed South component of the pixel boundary shift.

aEnumpy.ndarray

Array of shape (fitRange, fitRange) containing the computed East component of the pixel boundary shift.

aWnumpy.ndarray

Array of shape (fitRange, fitRange) containing the computed West component of the pixel boundary shift.

Attributes Summary

metadata
requiredAttributes

Methods Summary

apply(target)	Method to apply the calibration to the target object.
calibInfoFromDict(dictionary)	Handle common keywords.
determineCalibClass(metadata, message)	Attempt to find calibration class in metadata.
fromDetector(detector)	Modify the calibration parameters to match the supplied detector.
fromDict(dictionary)	Construct a calibration from a dictionary of properties.
fromTable(tableList)	Construct calibration from a list of tables.
getMetadata()	Retrieve metadata associated with this calibration.
initFromCamera(camera[, detectorId])	Initialize kernel structure from camera.
readFits(filename, **kwargs)	Read calibration data from a FITS file.
readText(filename, **kwargs)	Read calibration representation from a yaml/ecsv file.
setMetadata(metadata)	Store a copy of the supplied metadata with this calibration.
toDict()	Return a dictionary containing the calibration properties.
toTable()	Construct a list of tables containing the information in this calibration.
updateMetadata([setDate])	Update calibration metadata.
updateMetadataFromExposures(exposures)	Extract and unify metadata information.
validate([other])	Validate that this calibration is defined and can be used.
writeFits(filename)	Write calibration data to a FITS file.
writeText(filename[, format])	Write the calibration data to a text file.

Attributes Documentation

metadata

requiredAttributes

Methods Documentation

apply(target)

Method to apply the calibration to the target object.

Parameters:

targetobject

Thing to validate against.

Returns:

validbool

Returns true if the calibration was applied correctly.

Raises:

NotImplementedError

Raised if not implemented.

calibInfoFromDict(dictionary)

Handle common keywords.

This isn’t an ideal solution, but until all calibrations expect to find everything in the metadata, they still need to search through dictionaries.

Parameters:

dictionarydict or lsst.daf.base.PropertyList

Source for the common keywords.

Raises:

RuntimeError

Raised if the dictionary does not match the expected OBSTYPE.

classmethod determineCalibClass(metadata, message)

Attempt to find calibration class in metadata.

Parameters:

metadatadict or lsst.daf.base.PropertyList

Metadata possibly containing a calibration class entry.

messagestr

Message to include in any errors.

Returns:

calibClassobject

The class to use to read the file contents. Should be an lsst.ip.isr.IsrCalib subclass.

Raises:

ValueError

Raised if the resulting calibClass is the base lsst.ip.isr.IsrClass (which does not implement the content methods).

fromDetector(detector)

Modify the calibration parameters to match the supplied detector.

Parameters:

detectorlsst.afw.cameraGeom.Detector

Detector to use to set parameters from.

Raises:

NotImplementedError

Raised if not implemented by a subclass. This needs to be implemented by subclasses for each calibration type.

classmethod fromDict(dictionary)

Construct a calibration from a dictionary of properties.

Parameters:

dictionarydict

Dictionary of properties.

Returns:

caliblsst.ip.isr.BrighterFatterKernel

Constructed calibration.

Raises:

RuntimeError

Raised if the supplied dictionary is for a different calibration. Raised if the version of the supplied dictionary is 1.0.

classmethod fromTable(tableList)

Construct calibration from a list of tables.

This method uses the fromDict method to create the calibration, after constructing an appropriate dictionary from the input tables.

Parameters:

tableListlist [astropy.table.Table]

List of tables to use to construct the brighter-fatter calibration.

Returns:

caliblsst.ip.isr.BrighterFatterKernel

The calibration defined in the tables.

getMetadata()

Retrieve metadata associated with this calibration.

Returns:

metalsst.daf.base.PropertyList

Metadata. The returned PropertyList can be modified by the caller and the changes will be written to external files.

initFromCamera(camera, detectorId=None)

Initialize kernel structure from camera.

Parameters:

cameralsst.afw.cameraGeom.Camera

Camera to use to define geometry.

detectorIdint, optional

Index of the detector to generate.

Returns:

caliblsst.ip.isr.BrighterFatterKernel

The initialized calibration.

Raises:

RuntimeError

Raised if no detectorId is supplied for a calibration with level='AMP'.

classmethod readFits(filename, **kwargs)

Read calibration data from a FITS file.

Parameters:

filenamestr

Filename to read data from.

kwargsdict or collections.abc.Mapping`, optional

Set of key=value pairs to pass to the fromTable method.

Returns:

caliblsst.ip.isr.IsrCalib

Calibration contained within the file.

classmethod readText(filename, **kwargs)

Read calibration representation from a yaml/ecsv file.

Parameters:

filenamestr

Name of the file containing the calibration definition.

kwargsdict or collections.abc.Mapping`, optional

Set of key=value pairs to pass to the fromDict or fromTable methods.

Returns:

calibIsrCalibType

Calibration class.

Raises:

RuntimeError

Raised if the filename does not end in “.ecsv” or “.yaml”.

setMetadata(metadata)

Store a copy of the supplied metadata with this calibration.

Parameters:

metadatalsst.daf.base.PropertyList

Metadata to associate with the calibration. Will be copied and overwrite existing metadata.

toDict()

Return a dictionary containing the calibration properties.

The dictionary should be able to be round-tripped through fromDict.

Returns:

dictionarydict

Dictionary of properties.

toTable()

Construct a list of tables containing the information in this calibration.

The list of tables should create an identical calibration after being passed to this class’s fromTable method.

Returns:

tableListlist [lsst.afw.table.Table]

List of tables containing the crosstalk calibration information.

updateMetadata(setDate=False, **kwargs)

Update calibration metadata.

This calls the base class’s method after ensuring the required calibration keywords will be saved.

Parameters:

setDatebool, optional

Update the CALIBDATE fields in the metadata to the current time. Defaults to False.

kwargs

Other keyword parameters to set in the metadata.

updateMetadataFromExposures(exposures)

Extract and unify metadata information.

Parameters:

exposureslist

Exposures or other calibrations to scan.

validate(other=None)

Validate that this calibration is defined and can be used.

Parameters:

otherobject, optional

Thing to validate against.

Returns:

validbool

Returns true if the calibration is valid and appropriate.

writeFits(filename)

Write calibration data to a FITS file.

Parameters:

filenamestr

Filename to write data to.

Returns:

usedstr

The name of the file used to write the data.

writeText(filename, format='auto')

Write the calibration data to a text file.

Parameters:

filenamestr

Name of the file to write.

formatstr

Format to write the file as. Supported values are:

"auto" : Determine filetype from filename. "yaml" : Write as yaml. "ecsv" : Write as ecsv.

Returns:

usedstr

The name of the file used to write the data. This may differ from the input if the format is explicitly chosen.

Raises:

RuntimeError

Raised if filename does not end in a known extension, or if all information cannot be written.

Notes

The file is written to YAML/ECSV format and will include any associated metadata.