ForcedGaapFluxConfig¶

class lsst.meas.extensions.gaap.ForcedGaapFluxConfig¶

Bases: lsst.meas.extensions.gaap._gaap.BaseGaapFluxConfig, lsst.meas.base.ForcedPluginConfig

Config for ForcedGaapFluxPlugin.

Attributes Summary

`doMeasure`	whether to run this plugin in single-object mode (`bool`, default `True`)
`doMeasureN`
`doOptimalPhotometry`	Perform optimal photometry with near maximal SNR using an adaptive elliptical aperture? This requires a shape algorithm to have been run previously.
`doPsfPhotometry`	Perform PSF photometry after PSF-Gaussianization to validate Gaussianization accuracy? This does not produce consistent color estimates.
`gaussianizationMethod`	Type of convolution to use for PSF-Gaussianization.
`history`
`registerForApCorr`	Register measurements for aperture correction? The aperture correction registration is done when the plugin is instatiated and not during import because the column names are derived from the configuration rather than being static.
`scaleByFwhm`	Config parameter of the PSF Matching task.
`scalingFactors`	List of factors with which the seeing should be scaled to obtain the sigma values of the target Gaussian PSF.
`sigmas`	List of sigmas (in arcseconds) of circular Gaussian apertures to apply on pre-seeing galaxy images.

Methods Summary

`compare`(other[, shortcut, rtol, atol, output])	Compare this configuration to another `Config` for equality.
`formatHistory`(name, **kwargs)	Format a configuration field’s history to a human-readable format.
`freeze`()	Make this config, and all subconfigs, read-only.
`getAllGaapResultNames`(name)	Generate the base names for all of the GAaP fields.
`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.
`loadFromString`(code[, root, filename])	Modify this Config in place by executing the Python code in the provided string.
`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.
`saveToString`([skipImports])	Return the Python script form of this configuration as an executable string.
`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

doMeasure¶: whether to run this plugin in single-object mode (bool, default True)

doMeasureN = False¶

doOptimalPhotometry¶: Perform optimal photometry with near maximal SNR using an adaptive elliptical aperture? This requires a shape algorithm to have been run previously. (bool, default True)

doPsfPhotometry¶: Perform PSF photometry after PSF-Gaussianization to validate Gaussianization accuracy? This does not produce consistent color estimates. If setting it to True, it must be done so prior to registering the plugin for aperture correction if registerForApCorr is also True. (bool, default False)

gaussianizationMethod¶: Type of convolution to use for PSF-Gaussianization.

history¶

registerForApCorr¶: Register measurements for aperture correction? The aperture correction registration is done when the plugin is instatiated and not during import because the column names are derived from the configuration rather than being static. Sometimes you want to turn this off, e.g., when you use aperture corrections derived from somewhere else through a ‘proxy’ mechanism. (bool, default True)

scaleByFwhm¶: Config parameter of the PSF Matching task. Scale kernelSize, alardGaussians by input Fwhm?

scalingFactors¶: List of factors with which the seeing should be scaled to obtain the sigma values of the target Gaussian PSF. The factor should not be less than unity to avoid the PSF matching task to go into deconvolution mode and should ideally be slightly greater than unity. The runtime of the plugin scales linearly with the number of elements in the list. (List, default [1.15])

sigmas¶: List of sigmas (in arcseconds) of circular Gaussian apertures to apply on pre-seeing galaxy images. These should be somewhat larger than the PSF (determined by scalingFactors) to avoid measurement failures. (List, default [0.7, 1.0])

Methods Documentation

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

Compare this configuration to another Config for equality.

Parameters:

other : lsst.pex.config.Config: Other Config object to compare against this config.
shortcut : bool, optional: If True, return as soon as an inequality is found. Default is True.
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: True when the two lsst.pex.config.Config instances are equal. False if there is an inequality.

See also

lsst.pex.config.compareConfigs

Notes

Unselected targets of RegistryField fields and unselected choices of ConfigChoiceField fields are not considered by this method.

Floating point comparisons are performed by numpy.allclose.

formatHistory(name, **kwargs)¶

Format a configuration field’s history to a human-readable format.

Parameters:	name : `str` Name of a `Field` in this config. kwargs Keyword arguments passed to `lsst.pex.config.history.format`.
Returns:	history : `str` A string containing the formatted history.

See also

lsst.pex.config.history.format

freeze()¶: Make this config, and all subconfigs, read-only.

getAllGaapResultNames(name: Optional[str] = 'ext_gaap_GaapFlux') → Generator[str]¶

Generate the base names for all of the GAaP fields.

For example, if the plugin is configured with scalingFactors = [1.15] and sigmas = [0.7, 1.0] the returned expression would yield (“ext_gaap_GaapFlux_1_15x_0_7”, “ext_gaap_GaapFlux_1_15x_1_0”) when called with name = “ext_gaap_GaapFlux”. It will also generate “ext_gaap_GaapFlux_1_15x_PsfFlux” if doPsfPhotometry is True.

Parameters:	name : `str`, optional The exact registered name of the GAaP plugin, typically either “ext_gaap_GaapFlux” or “undeblended_ext_gaap_GaapFlux”. If `name` is None, then only the middle parts ((“1_15x_0_7”, “1_15x_1_0”), for example) without the leading underscores are returned.
Returns:	baseNames : `generator` A generator expression yielding all the base names.

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

lsst.pex.config.Config.iteritems

iteritems()¶

Iterate over (field name, field value) pairs.

Yields:	item : `tuple` Tuple items are: Field name. Field value.

See also

lsst.pex.config.Config.items

iterkeys()¶

Iterate over field names

Yields:	key : `str` A field’s key (attribute name).

See also

lsst.pex.config.Config.values

itervalues()¶

Iterate over field values.

Yields:	value : obj A field value.

See also

lsst.pex.config.Config.values

keys()¶

Get field names.

Returns:	names : `list` List of `lsst.pex.config.Field` names.

See also

lsst.pex.config.Config.iterkeys

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 myField is set to 5.

Deprecated: For 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.

Parameters:

stream : file-like object, str, bytes, or compiled string

Stream containing configuration override code. If this is a code object, it should be compiled with mode="exec".

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 myField is set to 5.

Deprecated: For 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.

filename : str, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

Notes

For backwards compatibility reasons, this method accepts strings, bytes and code objects as well as file-like objects. New code should use loadFromString instead for most of these types.

loadFromString(code, root='config', filename=None)¶

Modify this Config in place by executing the Python code in the provided string.

Parameters:

code : str, bytes, 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 myField is set to 5.

Deprecated: For 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.

filename : str, optional

Name of the configuration file, or None if unknown or contained in the stream. Used for error reporting.

names()¶

Get all the field names in the config, recursively.

Returns:	names : `list` of `str` Field names.

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`).

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 True then do not include import statements in output, this is to support human-oriented output from pipetask where additional clutter is not useful.

saveToString(skipImports=False)¶

Return the Python script form of this configuration as an executable string.

Parameters:	skipImports : `bool`, optional If `True` then do not include `import` statements in output, this is to support human-oriented output from `pipetask` where additional clutter is not useful.
Returns:	code : `str` A code string readable by `loadFromString`.

setDefaults() → None¶

Subclass hook for computing defaults.

Notes

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

toDict()¶

Make a dictionary of field names and their values.

Returns:	dict_ : `dict` Dictionary with keys that are `Field` names. Values are `Field` values.

See also

lsst.pex.config.Field.toDict

Notes

This method uses the toDict method of individual fields. Subclasses of Field may need to implement a toDict method for this method to work.

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 __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. Do not modify these keywords to subvert a Config instance’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 fieldA and fieldC:

>>> 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!'

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 validate methods.

Complex single-field validation can be defined by deriving new Field types. For convenience, some derived lsst.pex.config.Field-types (ConfigField and ConfigChoiceField) are defined in lsst.pex.config that handle recursing into subconfigs.

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

values()¶

Get field values.

Returns:	values : `list` List of field values.

See also

lsst.pex.config.Config.itervalues

Navigation

ForcedGaapFluxConfig¶