ImageDifferenceConfig¶
-
class
lsst.pipe.tasks.imageDifference.
ImageDifferenceConfig
¶ Bases:
lsst.pex.config.Config
Config for ImageDifferenceTask
Attributes Summary
astrometer
astrometry task; used to match sources to reference objects, but not to fit a WCS ( ConfigurableInstance
, default<class 'lsst.meas.astrom.astrometry.AstrometryConfig'>
)coaddName
coadd name: typically one of deep, goodSeeing, or dcr ( str
, default'deep'
)controlRandomSeed
Random seed for shuffing the control sample ( int
, default10
)controlStepSize
What step size (every Nth one) to select a control sample from the kernelSources ( int
, default5
)convolveTemplate
Which image gets convolved (default = template) ( bool
, defaultTrue
)decorrelate
Decorrelate effects of A&L kernel convolution on image difference, only if doSubtract is True. detection
Low-threshold detection for final measurement ( ConfigurableInstance
, default<class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>
)diaSourceMatchRadius
Match radius (in arcseconds) for DiaSource to Source association ( float
, default0.5
)doAddCalexpBackground
Add background to calexp before processing it. doAddMetrics
Add columns to the source table to hold analysis metrics? ( bool
, defaultTrue
)doDebugRegister
Writing debugging data for doUseRegister ( bool
, defaultFalse
)doDecorrelation
Perform diffim decorrelation to undo pixel correlation due to A&L kernel convolution? If True, also update the diffim PSF. doDetection
Detect sources? ( bool
, defaultTrue
)doDipoleFitting
Measure dipoles using new algorithm? ( bool
, defaultTrue
)doForcedMeasurement
Force photometer diaSource locations on PVI? ( bool
, defaultTrue
)doMatchSources
Match diaSources with input calexp sources and ref catalog sources ( bool
, defaultTrue
)doMeasurement
Measure diaSources? ( bool
, defaultTrue
)doMerge
Merge positive and negative diaSources with grow radius set by growFootprint ( bool
, defaultTrue
)doPreConvolve
Convolve science image by its PSF before PSF-matching? ( bool
, defaultTrue
)doScaleTemplateVariance
Scale variance of the template before PSF matching ( bool
, defaultFalse
)doSelectDcrCatalog
Select stars of extreme color as part of the control sample ( bool
, defaultFalse
)doSelectSources
Select stars to use for kernel fitting ( bool
, defaultTrue
)doSelectVariableCatalog
Select stars that are variable to be part of the control sample ( bool
, defaultFalse
)doSpatiallyVarying
If using Zogy or A&L decorrelation, perform these on a grid across the image in order to allow for spatial variations ( bool
, defaultFalse
)doSubtract
Compute subtracted exposure? ( bool
, defaultTrue
)doUseRegister
Use image-to-image registration to align template with science image ( bool
, defaultTrue
)doWriteMatchedExp
Write warped and PSF-matched template coadd exposure? ( bool
, defaultFalse
)doWriteSources
Write sources? ( bool
, defaultTrue
)doWriteSubtractedExp
Write difference exposure? ( bool
, defaultTrue
)forcedMeasurement
Subtask to force photometer PVI at diaSource location. getTemplate
Subtask to retrieve template exposure and sources ( ConfigurableInstance
, default<class 'lsst.ip.diffim.getTemplate.GetCoaddAsTemplateConfig'>
)growFootprint
Grow positive and negative footprints by this amount before merging ( int
, default2
)history
kernelSourcesFromRef
Select sources to measure kernel from reference catalog if True, template if false ( bool
, defaultFalse
)measurement
Enable updated dipole fitting method ( ConfigurableInstance
, default<class 'lsst.ip.diffim.dipoleFitTask.DipoleFitTaskConfig'>
)refObjLoader
reference object loader ( ConfigurableInstance
, default<class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>
)register
Task to enable image-to-image image registration (warping) ( ConfigurableInstance
, default<class 'lsst.pipe.tasks.registerImage.RegisterConfig'>
)scaleVariance
Subtask to rescale the variance of the template to the statistically expected level ( ConfigurableInstance
, default<class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>
)sourceSelector
Source selection algorithm ( ConfigurableInstance
, default<class 'lsst.meas.algorithms.objectSizeStarSelector.ObjectSizeStarSelectorConfig'>
)subtract
Subtraction Algorithm ( RegistryInstanceDict
, default'al'
)templateSipOrder
Sip Order for fitting the Template Wcs (default is too high, overfitting) ( int
, default2
)useGaussianForPreConvolution
Use a simple gaussian PSF model for pre-convolution (else use fit PSF)? Ignored if doPreConvolve false. 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. 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
-
astrometer
¶ astrometry task; used to match sources to reference objects, but not to fit a WCS (
ConfigurableInstance
, default<class 'lsst.meas.astrom.astrometry.AstrometryConfig'>
)
-
controlStepSize
¶ What step size (every Nth one) to select a control sample from the kernelSources (
int
, default5
)
-
decorrelate
¶ Decorrelate effects of A&L kernel convolution on image difference, only if doSubtract is True. If this option is enabled, then detection.thresholdValue should be set to 5.0 (rather than the default of 5.5). (
ConfigurableInstance
, default<class 'lsst.ip.diffim.imageDecorrelation.DecorrelateALKernelSpatialConfig'>
)
-
detection
¶ Low-threshold detection for final measurement (
ConfigurableInstance
, default<class 'lsst.meas.algorithms.detection.SourceDetectionConfig'>
)
-
diaSourceMatchRadius
¶ Match radius (in arcseconds) for DiaSource to Source association (
float
, default0.5
)
-
doAddCalexpBackground
¶ Add background to calexp before processing it. Useful as ipDiffim does background matching. (
bool
, defaultFalse
)
-
doDecorrelation
¶ Perform diffim decorrelation to undo pixel correlation due to A&L kernel convolution? If True, also update the diffim PSF. (
bool
, defaultFalse
)
-
doMatchSources
¶ Match diaSources with input calexp sources and ref catalog sources (
bool
, defaultTrue
)
-
doMerge
¶ Merge positive and negative diaSources with grow radius set by growFootprint (
bool
, defaultTrue
)
-
doSelectDcrCatalog
¶ Select stars of extreme color as part of the control sample (
bool
, defaultFalse
)
-
doSelectVariableCatalog
¶ Select stars that are variable to be part of the control sample (
bool
, defaultFalse
)
-
doSpatiallyVarying
¶ If using Zogy or A&L decorrelation, perform these on a grid across the image in order to allow for spatial variations (
bool
, defaultFalse
)
-
doUseRegister
¶ Use image-to-image registration to align template with science image (
bool
, defaultTrue
)
-
forcedMeasurement
¶ Subtask to force photometer PVI at diaSource location. (
ConfigurableInstance
, default<class 'lsst.meas.base.forcedMeasurement.ForcedMeasurementConfig'>
)
-
getTemplate
¶ Subtask to retrieve template exposure and sources (
ConfigurableInstance
, default<class 'lsst.ip.diffim.getTemplate.GetCoaddAsTemplateConfig'>
)
-
history
¶
-
kernelSourcesFromRef
¶ Select sources to measure kernel from reference catalog if True, template if false (
bool
, defaultFalse
)
-
measurement
¶ Enable updated dipole fitting method (
ConfigurableInstance
, default<class 'lsst.ip.diffim.dipoleFitTask.DipoleFitTaskConfig'>
)
-
refObjLoader
¶ reference object loader (
ConfigurableInstance
, default<class 'lsst.meas.algorithms.loadIndexedReferenceObjects.LoadIndexedReferenceObjectsConfig'>
)
-
register
¶ Task to enable image-to-image image registration (warping) (
ConfigurableInstance
, default<class 'lsst.pipe.tasks.registerImage.RegisterConfig'>
)
-
scaleVariance
¶ Subtask to rescale the variance of the template to the statistically expected level (
ConfigurableInstance
, default<class 'lsst.pipe.tasks.scaleVariance.ScaleVarianceConfig'>
)
-
sourceSelector
¶ Source selection algorithm (
ConfigurableInstance
, default<class 'lsst.meas.algorithms.objectSizeStarSelector.ObjectSizeStarSelectorConfig'>
)
-
subtract
¶ Subtraction Algorithm (
RegistryInstanceDict
, default'al'
)
-
templateSipOrder
¶ Sip Order for fitting the Template Wcs (default is too high, overfitting) (
int
, default2
)
-
useGaussianForPreConvolution
¶ Use a simple gaussian PSF model for pre-convolution (else use fit PSF)? Ignored if doPreConvolve false. (
bool
, defaultTrue
)
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 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
True
when the twolsst.pex.config.Config
instances are equal.False
if there is an inequality.
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
.- other :
-
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
- name :
-
freeze
()¶ Make this config, and all subconfigs, read-only.
-
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 :
-
iteritems
()¶ Iterate over (field name, field value) pairs.
Yields: - item :
tuple
Tuple items are:
- Field name.
- Field value.
See also
- item :
-
itervalues
()¶ Iterate over field values.
Yields: - value : obj
A field value.
See also
-
keys
()¶ Get field names.
Returns: - names :
list
List of
lsst.pex.config.Field
names.
See also
- 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
.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 :
-
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
myField
is 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
None
if 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,
-
names
()¶ Get all the field names in the config, recursively.
Returns:
-
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: - 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 includeimport
statements in output, this is to support human-oriented output frompipetask
where additional clutter is not useful.
-
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.
Returns: 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.
-