ScarletDeblendConfig¶
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class
lsst.meas.extensions.scarlet.ScarletDeblendConfig¶ Bases:
lsst.pex.config.ConfigMultibandDeblendConfig
Configuration for the multiband deblender. The parameters are organized by the parameter types, which are - Stopping Criteria: Used to determine if the fit has converged - Position Fitting Criteria: Used to fit the positions of the peaks - Constraints: Used to apply constraints to the peaks and their components - Other: Parameters that don’t fit into the above categories
Attributes Summary
badMaskWhether or not to process isolated sources in the deblender ( List, default['BAD', 'CR', 'NO_DATA', 'SAT', 'SUSPECT'])catchFailuresIf True, catch exceptions thrown by the deblender, log them, and set a flag on the parent, instead of letting them propagate up ( bool, defaultTrue)downgradeWhether or not to downgrade the number of components for sources in small bounding boxes ( bool, defaultFalse)edgeDistanceAll sources with flux within edgeDistancefrom the edge will be considered edge sources.fallbackWhether or not to fallback to a smaller number of components if a source does not initialize ( bool, defaultTrue)historymaskLimitsMask planes with the corresponding limit on the fraction of masked pixels. maxFootprintAreaMaximum area for footprints before they are ignored as large; non-positive means no threshold applied ( int, default1000000)maxFootprintSizeMaximum linear dimension for footprints before they are ignored as large; non-positive means no threshold applied ( int, default0)maxIterMaximum number of iterations to deblend a single parent ( int, default300)maxNumberOfPeaksOnly deblend the brightest maxNumberOfPeaks peaks in the parent (<= 0: unlimited) ( int, default0)minFootprintAxisRatioMinimum axis ratio for footprints before they are ignored as large; non-positive means no threshold applied ( float, default0.0)modelPsfSigmaDefine sigma for the model frame PSF ( float, default0.8)modelPsfSizeModel PSF side length in pixels ( int, default11)monotonicMake models monotonic ( bool, defaultTrue)morphThreshFraction of background RMS a pixel must haveto be included in the initial morphology ( float, default1)notDeblendedMaskMask name for footprints not deblended, or None ( str, default'NOT_DEBLENDED')processSinglesWhether or not to process isolated sources in the deblender ( bool, defaultTrue)relativeErrorChange in the loss function betweeniterations to exit fitter ( float, default0.0001)saveTemplatesWhether or not to save the SEDs and templates ( bool, defaultTrue)sourceModelHow to determine which model to use for sources, from - ‘single’: use a single component for all sources - ‘double’: use a bulge disk model for all sources - ‘compact’: use a single component model, initialzed with a point source morphology, for all sources - ‘point’: use a point-source model for all sources - ‘fit: use a PSF fitting model to determine the number of components (not yet implemented) ( str, default'double')statsMaskMask planes to ignore when performing statistics ( List, default['SAT', 'INTRP', 'NO_DATA'])symmetricMake models symmetric ( bool, defaultFalse)useWeightsWhether or not use use inverse variance weighting.If useWeightsisFalsethen flat weights are used (bool, defaultTrue)Methods Summary
compare(other[, shortcut, rtol, atol, output])Compare this configuration to another Configfor equality.formatHistory(name, **kwargs)Format a configuration field’s history to a human-readable format. freeze()Make this config, and all subconfigs, read-only. items()Get configurations as (field name, field value)pairs.iteritems()Iterate over (field name, field value) pairs. iterkeys()Iterate over field names itervalues()Iterate over field values. keys()Get field names. load(filename[, root])Modify this config in place by executing the Python code in a configuration file. loadFromStream(stream[, root, filename])Modify this Config in place by executing the Python code in the provided stream. names()Get all the field names in the config, recursively. save(filename[, root])Save a Python script to the named file, which, when loaded, reproduces this config. saveToStream(outfile[, root, skipImports])Save a configuration file to a stream, which, when loaded, reproduces this config. setDefaults()Subclass hook for computing defaults. toDict()Make a dictionary of field names and their values. update(**kw)Update values of fields specified by the keyword arguments. validate()Validate the Config, raising an exception if invalid. values()Get field values. Attributes Documentation
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badMask¶ Whether or not to process isolated sources in the deblender (
List, default['BAD', 'CR', 'NO_DATA', 'SAT', 'SUSPECT'])
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catchFailures¶ If True, catch exceptions thrown by the deblender, log them, and set a flag on the parent, instead of letting them propagate up (
bool, defaultTrue)
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downgrade¶ Whether or not to downgrade the number of components for sources in small bounding boxes (
bool, defaultFalse)
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edgeDistance¶ All sources with flux within
edgeDistancefrom the edge will be considered edge sources. (int, default1)
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fallback¶ Whether or not to fallback to a smaller number of components if a source does not initialize (
bool, defaultTrue)
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history¶
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maskLimits¶ Mask planes with the corresponding limit on the fraction of masked pixels. Sources violating this limit will not be deblended. (
Dict, default{})
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maxFootprintArea¶ Maximum area for footprints before they are ignored as large; non-positive means no threshold applied (
int, default1000000)
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maxFootprintSize¶ Maximum linear dimension for footprints before they are ignored as large; non-positive means no threshold applied (
int, default0)
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maxNumberOfPeaks¶ Only deblend the brightest maxNumberOfPeaks peaks in the parent (<= 0: unlimited) (
int, default0)
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minFootprintAxisRatio¶ Minimum axis ratio for footprints before they are ignored as large; non-positive means no threshold applied (
float, default0.0)
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morphThresh¶ Fraction of background RMS a pixel must haveto be included in the initial morphology (
float, default1)
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sourceModel¶ How to determine which model to use for sources, from - ‘single’: use a single component for all sources - ‘double’: use a bulge disk model for all sources - ‘compact’: use a single component model, initialzed with a point source morphology, for all sources - ‘point’: use a point-source model for all sources - ‘fit: use a PSF fitting model to determine the number of components (not yet implemented) (
str, default'double')
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statsMask¶ Mask planes to ignore when performing statistics (
List, default['SAT', 'INTRP', 'NO_DATA'])
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useWeights¶ Whether or not use use inverse variance weighting.If
useWeightsisFalsethen flat weights are used (bool, defaultTrue)
Methods Documentation
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compare(other, shortcut=True, rtol=1e-08, atol=1e-08, output=None)¶ Compare this configuration to another
Configfor equality.Parameters: - other :
lsst.pex.config.Config Other
Configobject to compare against this config.- shortcut :
bool, optional If
True, return as soon as an inequality is found. Default isTrue.- rtol :
float, optional Relative tolerance for floating point comparisons.
- atol :
float, optional Absolute tolerance for floating point comparisons.
- output : callable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
Returns: - isEqual :
bool Truewhen the twolsst.pex.config.Configinstances are equal.Falseif there is an inequality.
See also
Notes
Unselected targets of
RegistryFieldfields and unselected choices ofConfigChoiceFieldfields are not considered by this method.Floating point comparisons are performed by
numpy.allclose.- other :
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formatHistory(name, **kwargs)¶ Format a configuration field’s history to a human-readable format.
Parameters: - name :
str Name of a
Fieldin this config.- kwargs
Keyword arguments passed to
lsst.pex.config.history.format.
Returns: - history :
str A string containing the formatted history.
See also
- name :
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freeze()¶ Make this config, and all subconfigs, read-only.
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items()¶ Get configurations as
(field name, field value)pairs.Returns: - items :
list List of tuples for each configuration. Tuple items are:
- Field name.
- Field value.
See also
- items :
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iteritems()¶ Iterate over (field name, field value) pairs.
Yields: - item :
tuple Tuple items are:
- Field name.
- Field value.
See also
- item :
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itervalues()¶ Iterate over field values.
Yields: - value : obj
A field value.
See also
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keys()¶ Get field names.
Returns: - names :
list List of
lsst.pex.config.Fieldnames.
See also
- names :
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load(filename, root='config')¶ Modify this config in place by executing the Python code in a configuration file.
Parameters: - filename :
str Name of the configuration file. A configuration file is Python module.
- root :
str, optional Name of the variable in file that refers to the config being overridden.
For example, the value of root is
"config"and the file contains:config.myField = 5
Then this config’s field
myFieldis set to5.Deprecated: For backwards compatibility, older config files that use
root="root"instead ofroot="config"will be loaded with a warning printed tosys.stderr. This feature will be removed at some point.
See also
lsst.pex.config.Config.loadFromStream,lsst.pex.config.Config.save,lsst.pex.config.Config.saveFromStream- filename :
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loadFromStream(stream, root='config', filename=None)¶ Modify this Config in place by executing the Python code in the provided stream.
Parameters: - stream : file-like object,
str, or compiled string Stream containing configuration override code.
- root :
str, optional Name of the variable in file that refers to the config being overridden.
For example, the value of root is
"config"and the file contains:config.myField = 5
Then this config’s field
myFieldis set to5.Deprecated: For backwards compatibility, older config files that use
root="root"instead ofroot="config"will be loaded with a warning printed tosys.stderr. This feature will be removed at some point.- filename :
str, optional Name of the configuration file, or
Noneif unknown or contained in the stream. Used for error reporting.
See also
lsst.pex.config.Config.load,lsst.pex.config.Config.save,lsst.pex.config.Config.saveFromStream- stream : file-like object,
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names()¶ Get all the field names in the config, recursively.
Returns:
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save(filename, root='config')¶ Save a Python script to the named file, which, when loaded, reproduces this config.
Parameters: - filename :
str Desination filename of this configuration.
- root :
str, optional Name to use for the root config variable. The same value must be used when loading (see
lsst.pex.config.Config.load).
- filename :
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saveToStream(outfile, root='config', skipImports=False)¶ Save a configuration file to a stream, which, when loaded, reproduces this config.
Parameters: - outfile : file-like object
Destination file object write the config into. Accepts strings not bytes.
- root
Name to use for the root config variable. The same value must be used when loading (see
lsst.pex.config.Config.load).- skipImports :
bool, optional If
Truethen do not includeimportstatements in output, this is to support human-oriented output frompipetaskwhere additional clutter is not useful.
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setDefaults()¶ Subclass hook for computing defaults.
Notes
Derived
Configclasses that must compute defaults rather than using theFieldinstances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaultsmust call their base class’ssetDefaults.
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toDict()¶ Make a dictionary of field names and their values.
Returns: See also
Notes
This method uses the
toDictmethod of individual fields. Subclasses ofFieldmay need to implement atoDictmethod for this method to work.
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update(**kw)¶ Update values of fields specified by the keyword arguments.
Parameters: - kw
Keywords are configuration field names. Values are configuration field values.
Notes
The
__atand__labelkeyword arguments are special internal keywords. They are used to strip out any internal steps from the history tracebacks of the config. Do not modify these keywords to subvert aConfiginstance’s history.Examples
This is a config with three fields:
>>> from lsst.pex.config import Config, Field >>> class DemoConfig(Config): ... fieldA = Field(doc='Field A', dtype=int, default=42) ... fieldB = Field(doc='Field B', dtype=bool, default=True) ... fieldC = Field(doc='Field C', dtype=str, default='Hello world') ... >>> config = DemoConfig()
These are the default values of each field:
>>> for name, value in config.iteritems(): ... print(f"{name}: {value}") ... fieldA: 42 fieldB: True fieldC: 'Hello world'
Using this method to update
fieldAandfieldC:>>> config.update(fieldA=13, fieldC='Updated!')
Now the values of each field are:
>>> for name, value in config.iteritems(): ... print(f"{name}: {value}") ... fieldA: 13 fieldB: True fieldC: 'Updated!'
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validate()¶ Validate the Config, raising an exception if invalid.
Raises: - lsst.pex.config.FieldValidationError
Raised if verification fails.
Notes
The base class implementation performs type checks on all fields by calling their
validatemethods.Complex single-field validation can be defined by deriving new Field types. For convenience, some derived
lsst.pex.config.Field-types (ConfigFieldandConfigChoiceField) are defined inlsst.pex.configthat handle recursing into subconfigs.Inter-field relationships should only be checked in derived
Configclasses after calling this method, and base validation is complete.
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