Inheritance diagram for RealisticTrackRelationFilterTrainingRun:

Public Member Functions
def	identifier (self)

def	create_path (self)

Public Attributes
	task
	Process each event according to the user's desired task (train, eval, explore)

Static Public Attributes
int	n_events = 10000
	number of events to generate

str	generator_module = "generic"
	use the generic event generator

os	bkg_files = os.path.join(os.environ["VO_BELLE2_SW_DIR"], "bkg")
	overlay background hits from the events in these files

str	truth = "truth_positive"
	degree of MC truth-matching

Detailed Description

Run to record track relations encountered at the TrackLinker after the feasible filter and retrain its mva method

Definition at line 19 of file trainRealisticTrackRelationFilter.py.

Member Function Documentation

◆ create_path()

def create_path ( self )

Setup the recording path after the simulation

Reimplemented from ReadOrGenerateEventsRun.

Definition at line 37 of file trainRealisticTrackRelationFilter.py.

    def create_path(self):
        """Setup the recording path after the simulation"""
        path = super().create_path()
        path.add_module("TFCDC_WireHitPreparer",
                        flightTimeEstimation="outwards")
 
        path.add_module('TFCDC_ClusterPreparer',
                        SuperClusterDegree=3,
                        SuperClusterExpandOverApogeeGap=True)
 
        path.add_module("TFCDC_SegmentFinderFacetAutomaton")
 
        
        if self.task == "train":
            varSets = [
                "realistic",
                "filter(truth)",
            ]
            skim = "feasible"
 
        elif self.task == "eval":
            varSets = [
                "filter(feasible)",
                "filter(realistic)",
                "filter(truth)",
            ]
            skim = ""
 
        elif self.task == "explore":
            varSets = [
                "realistic",
                "hit_gap",
                "fit",
                "filter(truth)",
            ]
            skim = "feasible"
 
        else:
            raise ValueError("Unknown task " + self.task)
 
        path.add_module("TFCDC_TrackFinderSegmentPairAutomaton",
                        TrackRelationFilter="unionrecording",
                        TrackRelationFilterParameters={
                            "rootFileName": self.sample_file_name,
                            "varSets": varSets,
                            "skim": skim,
                        })
 
        return path
 
 

◆ identifier()

def identifier ( self )

Database identifier of the filter being trained

Definition at line 33 of file trainRealisticTrackRelationFilter.py.

    def identifier(self):
        """Database identifier of the filter being trained"""
        return "trackfindingcdc_RealisticTrackRelationFilter.xml"
 