JointcalConfig¶
- class lsst.jointcal.JointcalConfig(*args, **kw)¶
Bases:
PipelineTaskConfig
Configuration for JointcalTask
Attributes Summary
Allow a line search during minimization, if it is reasonable for the model (models with a significant non-linear component, e.g.
Apply photometric color terms to reference stars?Requires that colorterms be set to a ColortermLibrary (
bool
, defaultFalse
)Order of the per-chip transform for the constrained astrometry model.
Do the rank update step during minimization (should not change the astrometry fit).
Type of model to fit to astrometry (
str
, default'constrained'
)Convergence tolerance for outlier rejection threshold when fitting astrometry.
Reference object loader for astrometric fit (
LoadReferenceObjectsConfig
, default<class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>
)Uncertainty on reference catalog coordinates [mas] to use in place of the
coord_*Err
fields.How to down-select the loaded astrometry reference catalog.
Polynomial order for fitting the simple astrometry model.
Order of the per-visit transform for the constrained astrometry model.
Library of photometric reference catalog name to color term dict.
Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
Path to write debug output files to.
Output separate profiling information for different parts of jointcal, e.g.
Fit astrometry and write the fitted result.
Fit photometry and write the fitted result.
Matching radius between fitted and reference stars (arcseconds) (
float
, default3.0
)Maximum number of minimize iterations to take when fitting astrometry.
Maximum number of minimize iterations to take when fitting photometry.
Minimum number of measuredStars per ccdImage before printing warnings (
int
, default100
)Minimum number of associated measured stars for a fitted star to be included in the fit (
int
, default2
)Minimum number of measuredStars per ccdImage before printing warnings (
int
, default30
)How many sigma to reject outliers at during minimization.
Do the rank update step during minimization.
Systematic term to apply to the measured error on flux or magnitude as a fraction of source flux or magnitude delta (e.g.
Type of model to fit to photometry (
str
, default'constrainedMagnitude'
)Reference object loader for photometric fit (
LoadReferenceObjectsConfig
, default<class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>
)How to down-select the loaded photometry reference catalog.
Order of the per-visit polynomial transform for the constrained photometry model.
Systematic term to apply to the measured position error (pixels) (
float
, default0.02
)Flag to enable/disable saving of log output for a task, enabled by default.
Flag to enable/disable metadata saving for a task, enabled by default.
Source flux field to use in source selection and to get fluxes from the catalog.
How to select sources for cross-matching (
RegistryInstanceDict
, default'science'
)Use the input calexp WCSs to initialize a SimpleAstrometryModel.
Write .csv files containing the contributions to chi2 for the initialization and final fit.
Write .csv files containing the contributions to chi2 for the outer fit loop.
Write the pre/post-initialization Hessian and gradient to text files, for debugging.
Write the pre-initialization model to text files, for debugging.
Methods Summary
applyConfigOverrides
(instrument, ...)Apply config overrides to this config instance.
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.
items
()Get configurations as
(field name, field value)
pairs.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.
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
- 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
, defaultFalse
)
- applyColorTerms¶
Apply photometric color terms to reference stars?Requires that colorterms be set to a ColortermLibrary (
bool
, defaultFalse
)
- astrometryChipOrder¶
Order of the per-chip transform for the constrained astrometry model. (
int
, default1
)
- 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
, defaultTrue
)
- 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
- astrometryOutlierRelativeTolerance¶
Convergence tolerance for outlier rejection threshold when fitting astrometry. Iterations will stop when the fractional change in the chi2 cut level is below this value. If tolerance is set to zero, iterations will continue until there are no more outliers. We suggest a value of 0.002as a balance between a shorter minimization runtime and achieving a final fitted model that isclose to the solution found when removing all outliers. (
float
, default0
)
- astrometryRefObjLoader¶
Reference object loader for astrometric fit (
LoadReferenceObjectsConfig
, default<class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>
)
- astrometryReferenceErr¶
Uncertainty on reference catalog coordinates [mas] to use in place of the
coord_*Err
fields. If None, then raise an exception if the reference catalog is missing coordinate errors. If specified, overrides any existingcoord_*Err
values. (float
, defaultNone
)
- astrometryReferenceSelector¶
How to down-select the loaded astrometry reference catalog. (
ConfigurableInstance
, default<class 'lsst.meas.algorithms.sourceSelector.ReferenceSourceSelectorConfig'>
)
- astrometryVisitOrder¶
Order of the per-visit transform for the constrained astrometry model. (
int
, default5
)
- colorterms¶
Library of photometric reference catalog name to color term dict. (
ColortermLibrary
, default<class 'lsst.pipe.tasks.colorterms.ColortermLibrary'>
)
- connections: pexConfig.ConfigField¶
Field which refers to a dynamically added configuration class which is based on a PipelineTaskConnections class.
- debugOutputPath¶
Path to write debug output files to. Used by
writeInitialModel
,writeChi2Files*
,writeInitMatrix
. (str
, default'.'
)
- detailedProfile¶
Output separate profiling information for different parts of jointcal, e.g. data read, fitting (
bool
, defaultFalse
)
- history¶
Read-only history.
- maxAstrometrySteps¶
Maximum number of minimize iterations to take when fitting astrometry. (
int
, default20
)
- maxPhotometrySteps¶
Maximum number of minimize iterations to take when fitting photometry. (
int
, default20
)
- minMeasuredStarsPerCcd¶
Minimum number of measuredStars per ccdImage before printing warnings (
int
, default100
)
- minMeasurements¶
Minimum number of associated measured stars for a fitted star to be included in the fit (
int
, default2
)
- minRefStarsPerCcd¶
Minimum number of measuredStars per ccdImage before printing warnings (
int
, default30
)
- photometryDoRankUpdate¶
Do the rank update step during minimization. Skipping this can help deal with models that are too non-linear. (
bool
, defaultTrue
)
- 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
, default0.0
)
- 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 (
LoadReferenceObjectsConfig
, default<class 'lsst.meas.algorithms.loadReferenceObjects.LoadReferenceObjectsConfig'>
)
- photometryReferenceSelector¶
How to down-select the loaded photometry reference catalog. (
ConfigurableInstance
, default<class 'lsst.meas.algorithms.sourceSelector.ReferenceSourceSelectorConfig'>
)
- photometryVisitOrder¶
Order of the per-visit polynomial transform for the constrained photometry model. (
int
, default7
)
- positionErrorPedestal¶
Systematic term to apply to the measured position error (pixels) (
float
, default0.02
)
- saveLogOutput¶
Flag to enable/disable saving of log output for a task, enabled by default. (
bool
, defaultTrue
)
- saveMetadata¶
Flag to enable/disable metadata saving for a task, enabled by default. Deprecated: This field is deprecated and will be removed after v26. (
bool
, defaultTrue
)
- sourceFluxType¶
Source flux field to use in source selection and to get fluxes from the catalog. (
str
, default'apFlux_12_0'
)
- sourceSelector¶
How to select sources for cross-matching (
RegistryInstanceDict
, default'science'
)
- writeChi2FilesInitialFinal¶
Write .csv files containing the contributions to chi2 for the initialization and final fit. Output files will be written to
config.debugOutputPath
and will be of the formastrometry_[initial|final]_chi2-TRACT-FILTER. (`bool
, defaultFalse
)
- writeChi2FilesOuterLoop¶
Write .csv files containing the contributions to chi2 for the outer fit loop. Output files will be written to
config.debugOutputPath
and will be of the formastrometry_init-NN_chi2-TRACT-FILTER
. (bool
, defaultFalse
)
- writeInitMatrix¶
Write the pre/post-initialization Hessian and gradient to text files, for debugging. Output files will be written to
config.debugOutputPath
and will be of the form ‘astrometry_[pre|post]init-TRACT-FILTER-mat.txt’. Note that these files are the dense versions of the matrix, and so may be very large. (bool
, defaultFalse
)
- writeInitialModel¶
Write the pre-initialization model to text files, for debugging. Output files will be written to
config.debugOutputPath
and will be of the forminitial_astrometry_model-TRACT_FILTER.txt
. (bool
, defaultFalse
)
Methods Documentation
- applyConfigOverrides(instrument: Instrument | None, taskDefaultName: str, pipelineConfigs: Iterable[ConfigIR] | None, parameters: ParametersIR, label: str) None ¶
Apply config overrides to this config instance.
- Parameters:
- instrument
Instrument
orNone
An instance of the
Instrument
specified in a pipeline. IfNone
then the pipeline did not specify and instrument.- taskDefaultName
str
The default name associated with the
Task
class. This may be used with instrumental overrides.- pipelineConfigs
Iterable
ofConfigIR
An iterable of
ConfigIR
objects that contain overrides to apply to this config instance.- parameters
ParametersIR
Parameters defined in a Pipeline which are used in formatting of config values across multiple
Task
in a pipeline.- label
str
The label associated with this class’s Task in a pipeline.
- instrument
- 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 isTrue
.- rtol
float
, optional Relative tolerance for floating point comparisons.
- atol
float
, optional Absolute tolerance for floating point comparisons.
- outputcallable, optional
A callable that takes a string, used (possibly repeatedly) to report inequalities.
- other
- Returns:
- isEqual
bool
True
when the twolsst.pex.config.Config
instances are equal.False
if there is an inequality.
- isEqual
See also
Notes
Unselected targets of
RegistryField
fields and unselected choices ofConfigChoiceField
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
.
- name
- Returns:
- history
str
A string containing the formatted history.
- history
See also
- freeze()¶
Make this config, and all subconfigs, read-only.
- items()¶
Get configurations as
(field name, field value)
pairs.- Returns:
- items
ItemsView
Iterator of tuples for each configuration. Tuple items are:
Field name.
Field value.
- items
- keys()¶
Get field names.
- Returns:
- names
KeysView
List of
lsst.pex.config.Field
names.
- names
- 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 to5
.
- filename
- loadFromStream(stream, root='config', filename=None, extraLocals=None)¶
Modify this Config in place by executing the Python code in the provided stream.
- Parameters:
- streamfile-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 to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, optional Any extra variables to include in local scope when loading.
- streamfile-like object,
See also
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, extraLocals=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 to5
.- filename
str
, optional Name of the configuration file, or
None
if unknown or contained in the stream. Used for error reporting.- extraLocals
dict
ofstr
toobject
, optional Any extra variables to include in local scope when loading.
- code
- Raises:
- ValueError
Raised if a key in extraLocals is the same value as the value of the root argument.
- 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
- saveToStream(outfile, root='config', skipImports=False)¶
Save a configuration file to a stream, which, when loaded, reproduces this config.
- Parameters:
- outfilefile-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 includeimport
statements in output, this is to support human-oriented output frompipetask
where additional clutter is not useful.
- saveToString(skipImports=False)¶
Return the Python script form of this configuration as an executable string.
- Parameters:
- Returns:
- code
str
A code string readable by
loadFromString
.
- code
- setDefaults()¶
Subclass hook for computing defaults.
Notes
Derived
Config
classes that must compute defaults rather than using theField
instances’s defaults should do so here. To correctly use inherited defaults, implementations ofsetDefaults
must call their base class’ssetDefaults
.
- toDict()¶
Make a dictionary of field names and their values.
See also
Notes
This method uses the
toDict
method of individual fields. Subclasses ofField
may need to implement atoDict
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 aConfig
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
andfieldC
:>>> 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
andConfigChoiceField
) are defined inlsst.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
ValuesView
Iterator of field values.
- values