JointcalConfig

class lsst.jointcal.JointcalConfig

Bases: lsst.pex.config.config.Config

Config for JointcalTask

Attributes Summary

allowLineSearch	Allow a line search during minimization, if it is reasonable for the model (models with a significant non-linear component, e.g.
astrometryChipOrder	Order of the per-chip transform for the constrained astrometry model.
astrometryDoRankUpdate	Do the rank update step during minimization (should not change the astrometry fit).
astrometryModel	Type of model to fit to astrometry (str, default 'constrained')
astrometryRefObjLoader	Reference object loader for astrometric fit (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)
astrometrySimpleOrder	Polynomial order for fitting the simple astrometry model.
astrometryVisitOrder	Order of the per-visit transform for the constrained astrometry model.
coaddName	Type of coadd, typically deep or goodSeeing (str, default 'deep')
doAstrometry	Fit astrometry and write the fitted result.
doPhotometry	Fit photometry and write the fitted result.
history
matchCut	Matching radius between fitted and reference stars (arcseconds) (float, default 3.0)
maxAstrometrySteps	Maximum number of minimize iterations to take when fitting photometry.
maxPhotometrySteps	Maximum number of minimize iterations to take when fitting photometry.
minMeasuredStarsPerCcd	Minimum number of measuredStars per ccdImage before printing warnings (int, default 100)
minMeasurements	Minimum number of associated measured stars for a fitted star to be included in the fit (int, default 2)
minRefStarsPerCcd	Minimum number of measuredStars per ccdImage before printing warnings (int, default 30)
outlierRejectSigma	How many sigma to reject outliers at during minimization.
photometryDoRankUpdate	Do the rank update step during minimization.
photometryErrorPedestal	Systematic term to apply to the measured error on flux or magnitude as a fraction of source flux or magnitude delta (e.g.
photometryModel	Type of model to fit to photometry (str, default 'constrainedMagnitude')
photometryRefObjLoader	Reference object loader for photometric fit (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)
photometryVisitOrder	Order of the per-visit polynomial transform for the constrained photometry model.
positionErrorPedestal	Systematic term to apply to the measured position error (pixels) (float, default 0.02)
sourceFluxType	Source flux field to use in source selection and to get fluxes from the catalog.
sourceSelector	How to select sources for cross-matching (RegistryInstanceDict, default 'astrometry')
useInputWcs	Use the input calexp WCSs to initialize a SimpleAstrometryModel.
writeChi2ContributionFiles	Write initial/final fit files containing the contributions to chi2.
writeInitMatrix	Write the pre/post-initialization Hessian and gradient to text files, for debugging.The output files will be of the form ‘astrometry_preinit-mat.txt’, in the current directory.Note that these files are the dense versions of the matrix, and so may be very large.

Methods Summary

compare(other[, shortcut, rtol, atol, output])	!Compare two Configs for equality; return True if equal
formatHistory(name, **kwargs)	!Format the specified config field’s history to a more human-readable format
freeze()	!Make this Config and all sub-configs read-only
items()	!Return the list of (field name, field value) pairs
iteritems()	!Iterate over (field name, field value) pairs
iterkeys()	!Iterate over field names
itervalues()	!Iterate over field values
keys()	!Return the list of field names
load(filename[, root])	!Modify this config in place by executing the Python code in the named file.
loadFromStream(stream[, root, filename])	!Modify this config in place by executing the python code in the provided stream.
names()	!Return all the keys in a config recursively
save(filename[, root])	!Save a python script to the named file, which, when loaded, reproduces this Config
saveToStream(outfile[, root])	!Save a python script to a stream, which, when loaded, reproduces this Config
setDefaults()	Derived config classes that must compute defaults rather than using the Field defaults should do so here.
toDict()	!Return a dict of field name: value
update(**kw)	!Update values specified by the keyword arguments
validate()	!Validate the Config; raise an exception if invalid
values()	!Return the list of field values

Attributes Documentation

allowLineSearch

Allow a line search during minimization, if it is reasonable for the model (models with a significant non-linear component, e.g. constrainedPhotometry). (bool, default False)

astrometryChipOrder

Order of the per-chip transform for the constrained astrometry model. (int, default 1)

astrometryDoRankUpdate

Do the rank update step during minimization (should not change the astrometry fit). Skipping this can help deal with models that are too non-linear. (bool, default True)

astrometryModel

Type of model to fit to astrometry (str, default 'constrained')

Allowed values:

'simple'

One polynomial per ccd

'constrained'

One polynomial per ccd, and one polynomial per visit

'None'

Field is optional

astrometryRefObjLoader

Reference object loader for astrometric fit (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)

astrometrySimpleOrder

Polynomial order for fitting the simple astrometry model. (int, default 3)

astrometryVisitOrder

Order of the per-visit transform for the constrained astrometry model. (int, default 5)

coaddName

Type of coadd, typically deep or goodSeeing (str, default 'deep')

doAstrometry

Fit astrometry and write the fitted result. (bool, default True)

doPhotometry

Fit photometry and write the fitted result. (bool, default True)

history

matchCut

Matching radius between fitted and reference stars (arcseconds) (float, default 3.0)

maxAstrometrySteps

Maximum number of minimize iterations to take when fitting photometry. (int, default 20)

maxPhotometrySteps

Maximum number of minimize iterations to take when fitting photometry. (int, default 20)

minMeasuredStarsPerCcd

Minimum number of measuredStars per ccdImage before printing warnings (int, default 100)

minMeasurements

Minimum number of associated measured stars for a fitted star to be included in the fit (int, default 2)

minRefStarsPerCcd

Minimum number of measuredStars per ccdImage before printing warnings (int, default 30)

outlierRejectSigma

How many sigma to reject outliers at during minimization. (float, default 5.0)

photometryDoRankUpdate

Do the rank update step during minimization. Skipping this can help deal with models that are too non-linear. (bool, default True)

photometryErrorPedestal

Systematic term to apply to the measured error on flux or magnitude as a fraction of source flux or magnitude delta (e.g. 0.05 is 5% of flux or +50 millimag). (float, default 0.0)

photometryModel

Type of model to fit to photometry (str, default 'constrainedMagnitude')

Allowed values:

'simpleFlux'

One constant zeropoint per ccd and visit, fitting in flux space.

'constrainedFlux'

Constrained zeropoint per ccd, and one polynomial per visit, fitting in flux space.

'simpleMagnitude'

One constant zeropoint per ccd and visit, fitting in magnitude space.

'constrainedMagnitude'

Constrained zeropoint per ccd, and one polynomial per visit, fitting in magnitude space.

'None'

Field is optional

photometryRefObjLoader

Reference object loader for photometric fit (ConfigurableInstance, default <class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>)

photometryVisitOrder

Order of the per-visit polynomial transform for the constrained photometry model. (int, default 7)

positionErrorPedestal

Systematic term to apply to the measured position error (pixels) (float, default 0.02)

sourceFluxType

Source flux field to use in source selection and to get fluxes from the catalog. (str, default 'Calib')

sourceSelector

How to select sources for cross-matching (RegistryInstanceDict, default 'astrometry')

useInputWcs

Use the input calexp WCSs to initialize a SimpleAstrometryModel. (bool, default True)

writeChi2ContributionFiles

Write initial/final fit files containing the contributions to chi2. (bool, default False)

writeInitMatrix

Write the pre/post-initialization Hessian and gradient to text files, for debugging.The output files will be of the form ‘astrometry_preinit-mat.txt’, in the current directory.Note that these files are the dense versions of the matrix, and so may be very large. (bool, default False)

Methods Documentation

compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)

!Compare two Configs for equality; return True if equal

If the Configs contain RegistryFields or ConfigChoiceFields, unselected Configs will not be compared.

@param[in] other Config object to compare with self. @param[in] shortcut If True, return as soon as an inequality is found. @param[in] rtol Relative tolerance for floating point comparisons. @param[in] atol Absolute tolerance for floating point comparisons. @param[in] output If not None, a callable that takes a string, used (possibly repeatedly)

to report inequalities.

Floating point comparisons are performed by numpy.allclose; refer to that for details.

formatHistory(name, **kwargs)

!Format the specified config field’s history to a more human-readable format

@param[in] name name of field whose history is wanted @param[in] kwargs keyword arguments for lsst.pex.config.history.format @return a string containing the formatted history

freeze()

!Make this Config and all sub-configs read-only

items()

!Return the list of (field name, field value) pairs

iteritems()

!Iterate over (field name, field value) pairs

iterkeys()

!Iterate over field names

itervalues()

!Iterate over field values

keys()

!Return the list of field names

load(filename, root='config')

!Modify this config in place by executing the Python code in the named file.

@param[in] filename name of file containing config override code @param[in] root name of variable in file that refers to the config being overridden

For example: if the value of root is “config” and the file contains this text: “config.myField = 5” then this config’s field “myField” is set to 5.

@deprecated For purposes of backwards compatibility, older config files that use root=”root” instead of root=”config” will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

loadFromStream(stream, root='config', filename=None)

!Modify this config in place by executing the python code in the provided stream.

@param[in] stream open file object, string or compiled string containing config override code @param[in] root name of variable in stream that refers to the config being overridden @param[in] filename name of config override file, or None if unknown or contained

in the stream; used for error reporting

For example: if the value of root is “config” and the stream contains this text: “config.myField = 5” then this config’s field “myField” is set to 5.

@deprecated For purposes of backwards compatibility, older config files that use root=”root” instead of root=”config” will be loaded with a warning printed to sys.stderr. This feature will be removed at some point.

names()

!Return all the keys in a config recursively

save(filename, root='config')

!Save a python script to the named file, which, when loaded, reproduces this Config

@param[in] filename name of file to which to write the config @param[in] root name to use for the root config variable; the same value must be used when loading

saveToStream(outfile, root='config')

!Save a python script to a stream, which, when loaded, reproduces this Config

@param outfile [inout] open file object to which to write the config. Accepts strings not bytes. @param root [in] name to use for the root config variable; the same value must be used when loading

setDefaults()

Derived config classes that must compute defaults rather than using the Field defaults should do so here. To correctly use inherited defaults, implementations of setDefaults() must call their base class’ setDefaults()

toDict()

!Return a dict of field name: value

Correct behavior is dependent on proper implementation of Field.toDict. If implementing a new Field type, you may need to implement your own toDict method.

update(**kw)

!Update values specified by the keyword arguments

@warning The ‘__at’ and ‘__label’ keyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Modifying these keywords allows users to lie about a Config’s history. Please do not do so!

validate()

!Validate the Config; raise an exception if invalid

The base class implementation performs type checks on all fields by calling Field.validate().

Complex single-field validation can be defined by deriving new Field types. As syntactic sugar, some derived Field types are defined in this module which handle recursing into sub-configs (ConfigField, ConfigChoiceField)

Inter-field relationships should only be checked in derived Config classes after calling this method, and base validation is complete

values()

!Return the list of field values