BasePlugin¶
- class lsst.meas.base.BasePlugin(config, name, logName=None)¶
Bases:
object
Base class for measurement plugins.
This is the base class for
SingleFramePlugin
andForcedPlugin
; derived classes should inherit from one of those.- Parameters:
- config
BasePluginConfig
Plugin configuration.
- name
str
Plugin name.
- logName
str
Logger name.
- config
Notes
Relative execution orders are defined by a series of named constants defined in this class: plugins with a lower execution number are run first.
This approach was chosen instead of a full graph-based analysis of dependencies because algorithm dependencies are usually both quite simple and entirely substitutable: an algorithm that requires a centroid can typically make use of any centroid algorithms outputs. That makes it relatively easy to figure out the correct value to use for any particular algorithm.
Attributes Summary
Order for algorithms which require shape, centroid and flux (
float
).Order for algorithms which require only Footprint and Peaks (
float
).Order for catalog calculation plugins.
Order for algorithms which require a shape and a centroid (
float
).Order for algorithms which require a centroid (
float
).Methods Summary
fail
(measRecord[, error])Record a failure of the
measure
ormeasureN
method.Get the relative execution order of this plugin.
Get the measurement transformation appropriate to this plugin.
Attributes Documentation
- APCORR_ORDER = 3.0¶
Order for algorithms which require shape, centroid and flux (
float
).Notes
These algorithms may assume that
getCentroid
andgetShape
will return good values, that flux has been measured, and that and that a Footprint and its Peaks are available.
- CENTROID_ORDER = 0.0¶
Order for algorithms which require only Footprint and Peaks (
float
).Notes
Algorithms with this execution order include centroids.
- DEFAULT_CATALOGCALCULATION = 4.0¶
Order for catalog calculation plugins.
Notes
These plugins only operate on catalogs; they may not access pixel values.
- FLUX_ORDER = 2.0¶
Order for algorithms which require a shape and a centroid (
float
).Notes
These algorithms may assume that both
getCentroid
andgetShape
will return good values, and that a Footprint and its Peaks are available.
- SHAPE_ORDER = 1.0¶
Order for algorithms which require a centroid (
float
).Notes
These algorithms may refer assume that
getCentroid
will return a good centroid, and that a Footprint and its Peaks are available.
Methods Documentation
- fail(measRecord, error=None)¶
Record a failure of the
measure
ormeasureN
method.- Parameters:
- measRecord
lsst.afw.table.SourceRecord
Table record describing the source being measured.
- error
MeasurementError
, optional Only provided if the measurement failed due to a
MeasurementError
being raised; otherwise, will beNone
.
- measRecord
Notes
When the plugin raises an exception, framework will call
BasePlugin.fail
to allow the plugin to set its failure flag field(s). WhenBasePlugin.measureN
raises an exception,BasePlugin.fail
will be called repeatedly with all the records that were being measured.If the exception is an
MeasurementError
, it will be passed as the error argument; in all other cases the error argument will beNone
, and the failure will be logged by the measurement framework as a warning.
- classmethod getExecutionOrder()¶
Get the relative execution order of this plugin.
Must be reimplemented as a class method by concrete derived classes.
- getLogName()¶
- static getTransformClass()¶
Get the measurement transformation appropriate to this plugin.
This returns a subclass of
transforms.MeasurementTransform
, which may be instantiated with details of the algorithm configuration and then called with information about calibration and WCS to convert from raw measurement quantities to calibrated units. Calibrated data is then provided in a separate output table.Notes
By default, we copy everything from the input to the output without transformation.