Background facet detection based on MVA. More...

Inheritance diagram for MVAFacetFilter:

[legend]

Collaboration diagram for MVAFacetFilter:

[legend]

Public Types
using	Super = MVA< BaseFacetFilter >
	Type of the base class.

using	Object = typename BaseFacetFilter ::Object
	Type of the object to be analysed.

using	Interface = Filter< AObject >
	Mark this class as the basic interface.

Public Member Functions
	MVAFacetFilter ()
	Constructor initialising the MVAFilter with standard training name for this filter.

Weight	predict (const CDCFacet &facet) final
	Main filter method returning the weight of the facet. More...

void	exposeParameters (ModuleParamList *moduleParamList, const std::string &prefix) override
	Expose the set of parameters of the filter to the module parameter list.

void	initialize () override
	Initialize the expert before event processing.

void	beginRun () override
	Signal to load new run parameters.

Weight	operator() (const Object &obj) override
	Function to object for its signalness.

Weight	operator() (const Object *obj)
	Function to evaluate the object. More...

virtual double	predict (const Object &obj)
	Evaluate the mva method.

bool	needsTruthInformation () override
	Checks if any variables need Monte Carlo information.

std::unique_ptr< AVarSet >	releaseVarSet () &&
	Steal the set of variables form this filter - filter becomes disfunctional afterwards.

void	beginEvent () override
	Receive and dispatch signal for the start of a new event.

void	endRun () override
	Receive and dispatch signal for the end of the run.

void	terminate () override
	Receive and dispatch Signal for termination of the event processing.

Protected Member Functions
AVarSet &	getVarSet () const
	Getter for the set of variables.

void	setVarSet (std::unique_ptr< AVarSet > varSet)
	Setter for the set of variables.

void	addProcessingSignalListener (ProcessingSignalListener *psl)
	Register a processing signal listener to be notified.

int	getNProcessingSignalListener ()
	Get the number of currently registered listeners.

Private Attributes
double	m_param_cut
	The cut on the MVA output.

std::string	m_param_identifier
	Database identifier of the expert or weight file name.

std::unique_ptr< MVAExpert >	m_mvaExpert
	MVA Expert to examine the object.

std::unique_ptr< AVarSet >	m_varSet
	Instance of the variable set to be used in the filter.

std::vector< ProcessingSignalListener * >	m_subordinaryProcessingSignalListeners
	References to subordinary signal processing listener contained in this findlet.

bool	m_initialized = false
	Flag to keep track whether initialization happend before.

bool	m_terminated = false
	Flag to keep track whether termination happend before.

std::string	m_initializedAs
	Name of the type during initialisation.

Detailed Description

Background facet detection based on MVA.

Definition at line 44 of file MVAFacetFilter.h.

Member Function Documentation

Weight operator() ( const Object * obj )

inherited

Function to evaluate the object.

Base implementation accepts all objects, except nullptr.

Parameters

obj	The object to be accepted or rejected.

Returns: A finit float value if the object is accepted. NAN if the object is rejected. Nullptr is always rejected.

Definition at line 60 of file Filter.icc.h.

Weight predict ( const CDCFacet & facet )

final

Main filter method returning the weight of the facet.

The size of the facet with a small penalty depending on the mva probability.

Definition at line 27 of file MVAFacetFilter.cc.

 {
   return 3 - 0.2 * (1 - Super::predict(facet));
 }

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