lsst.meas.base  13.0-26-g0f127ff+5
Public Member Functions | Public Attributes | Static Public Attributes | List of all members
lsst.meas.base.classification.CatalogCalculationClassificationPlugin Class Reference
Inheritance diagram for lsst.meas.base.classification.CatalogCalculationClassificationPlugin:
lsst.meas.base.catalogCalculation.CatalogCalculationPlugin lsst.meas.base.pluginsBase.BasePlugin

Public Member Functions

def getExecutionOrder (cls)
 
def __init__ (self, config, name, schema, metadata)
 
def calculate (self, measRecord)
 
def fail (self, measRecord, error=None)
 
- Public Member Functions inherited from lsst.meas.base.catalogCalculation.CatalogCalculationPlugin
def __init__ (self, config, name, schema, metadata)
 Initialize the catalogCalculation plugin. More...
 
def getExecutionOrder (cls)
 
def calculate (self, cat, kwargs)
 Process either a single catalog enter or the whole catalog and produce output defined by the plugin. More...
 
- Public Member Functions inherited from lsst.meas.base.pluginsBase.BasePlugin
def getExecutionOrder (cls)
 
def __init__ (self, config, name, logName=None)
 Initialize the plugin object. More...
 
def getLogName (self)
 
def fail (self, measRecord, error=None)
 Record a failure of the measure or measureN() method. More...
 

Public Attributes

 keyProbability
 
 keyFlag
 
- Public Attributes inherited from lsst.meas.base.pluginsBase.BasePlugin
 config
 
 name
 
 logName
 

Static Public Attributes

 ConfigClass = CatalogCalculationClassificationConfig
 
- Static Public Attributes inherited from lsst.meas.base.catalogCalculation.CatalogCalculationPlugin
 registry = PluginRegistry(CatalogCalculationPluginConfig)
 
 ConfigClass = CatalogCalculationPluginConfig
 
string plugType = 'single'
 
- Static Public Attributes inherited from lsst.meas.base.pluginsBase.BasePlugin
float CENTROID_ORDER = 0.0
 
float SHAPE_ORDER = 1.0
 
float FLUX_ORDER = 2.0
 
float APCORR_ORDER = 3.0
 
float DEFAULT_CATALOGCALCULATION = 4.0
 

Additional Inherited Members

- Static Public Member Functions inherited from lsst.meas.base.pluginsBase.BasePlugin
def getTransformClass ()
 Get the measurement transformation appropriate to this plugin. More...
 

Detailed Description

A binary measure of the extendedness of a source, based a simple cut on the ratio of the
PSF flux to the model flux.

Because the fluxes on which this algorithm is based on are slot measurements, they can be provided
by different algorithms, and the "fluxRatio" threshold used by this algorithm should generally
be set differently for different algorithms.  To do this, plot the difference between the PSF
magnitude and the model magnitude vs. the PSF magnitude, and look for where the cloud of galaxies
begins.

Definition at line 48 of file classification.py.

Constructor & Destructor Documentation

◆ __init__()

def lsst.meas.base.classification.CatalogCalculationClassificationPlugin.__init__ (   self,
  config,
  name,
  schema,
  metadata 
)

Definition at line 66 of file classification.py.

Member Function Documentation

◆ calculate()

def lsst.meas.base.classification.CatalogCalculationClassificationPlugin.calculate (   self,
  measRecord 
)

Definition at line 72 of file classification.py.

◆ fail()

def lsst.meas.base.classification.CatalogCalculationClassificationPlugin.fail (   self,
  measRecord,
  error = None 
)

Definition at line 97 of file classification.py.

◆ getExecutionOrder()

def lsst.meas.base.classification.CatalogCalculationClassificationPlugin.getExecutionOrder (   cls)

Definition at line 63 of file classification.py.

Member Data Documentation

◆ ConfigClass

lsst.meas.base.classification.CatalogCalculationClassificationPlugin.ConfigClass = CatalogCalculationClassificationConfig
static

Definition at line 60 of file classification.py.

◆ keyFlag

lsst.meas.base.classification.CatalogCalculationClassificationPlugin.keyFlag

Definition at line 70 of file classification.py.

◆ keyProbability

lsst.meas.base.classification.CatalogCalculationClassificationPlugin.keyProbability

Definition at line 68 of file classification.py.


The documentation for this class was generated from the following file: