ClassificationDipolePlugin¶

class lsst.ip.diffim.ClassificationDipolePlugin(config, name, schema, metadata)¶

Bases: lsst.meas.base.SingleFramePlugin

A plugin to classify whether a diaSource is a dipole.

Attributes Summary

`APCORR_ORDER`
`CENTROID_ORDER`
`DEFAULT_CATALOGCALCULATION`
`FLUX_ORDER`
`SHAPE_ORDER`
`registry`

Methods Summary

fail(measRecord[, error]) Record a failure of the measure or measureN method.

getExecutionOrder()

Returns:

getLogName()

getTransformClass() Get the measurement transformation appropriate to this plugin.

measure(measRecord, exposure) Measure the properties of a source on a single image.

measureN(measCat, exposure) Measure the properties of blended sources on a single image.

Attributes Documentation

APCORR_ORDER = 3.0¶

CENTROID_ORDER = 0.0¶

DEFAULT_CATALOGCALCULATION = 4.0¶

FLUX_ORDER = 2.0¶

SHAPE_ORDER = 1.0¶

registry = <lsst.meas.base.pluginRegistry.PluginRegistry object>¶

Methods Documentation

fail(measRecord, error=None)¶

Record a failure of the measure or measureN 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 be `None`.

Notes

When the plugin raises an exception, framework will call BasePlugin.fail to allow the plugin to set its failure flag field(s). When BasePlugin.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 be None, and the failure will be logged by the measurement framework as a warning.

classmethod getExecutionOrder()¶

Returns:	result : `callable`

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.

measure(measRecord, exposure)¶

Measure the properties of a source on a single image.

The image may be from a single epoch, or it may be a coadd.

Parameters:

measRecord : lsst.afw.table.SourceRecord: Record describing the object being measured. Previously-measured quantities may be retrieved from here, and it will be updated in-place tih the outputs of this plugin.
exposure : lsst.afw.image.ExposureF: The pixel data to be measured, together with the associated PSF, WCS, etc. All other sources in the image should have been replaced by noise according to deblender outputs.

measureN(measCat, exposure)¶

Measure the properties of blended sources on a single image.

This operates on all members of a blend family at once. The image may be from a single epoch, or it may be a coadd.

Parameters:

measCat : lsst.afw.table.SourceCatalog: Catalog describing the objects (and only those objects) being measured. Previously-measured quantities will be retrieved from here, and it will be updated in-place with the outputs of this plugin.
exposure : lsst.afw.image.ExposureF: The pixel data to be measured, together with the associated PSF, WCS, etc. All other sources in the image should have been replaced by noise according to deblender outputs.

Notes

Derived classes that do not implement measureN should just inherit this disabled version. Derived classes that do implement measureN should additionally add a bool doMeasureN config field to their config class to signal that measureN-mode is available.

Navigation

ClassificationDipolePlugin¶