CDCQEDataCollectionTask Class Reference

Inheritance diagram for CDCQEDataCollectionTask:

Collaboration diagram for CDCQEDataCollectionTask:

Public Member Functions
def	get_records_file_name (self, n_events=None, random_seed=None)
	Filename of the recorded/collected data for the final QE MVA training.
def	get_input_files (self, n_events=None, random_seed=None)
def	requires (self)
def	output (self)
def	create_path (self)

Static Public Attributes
	n_events = b2luigi.IntParameter()
	Number of events to generate.
	experiment_number = b2luigi.IntParameter()
	Experiment number of the conditions database, e.g. More...
	random_seed = b2luigi.Parameter()
	Random basf2 seed used by the GenerateSimTask. More...
string	queue = 'l'

Detailed Description

Collect variables/features from CDC tracking and write them to a ROOT file.

These variables are to be used as labelled training data for the MVA
classifier which is the CDC track quality estimator

Definition at line 686 of file combined_quality_estimator_teacher.py.

Member Function Documentation

create_path()

def create_path

(

self

)

Create basf2 path with CDC standalone tracking and CDC QE with recording filter for MVA feature collection.

Definition at line 761 of file combined_quality_estimator_teacher.py.

    def create_path(self):
        """
        Create basf2 path with CDC standalone tracking and CDC QE with recording filter for MVA feature collection.
        """
        path = basf2.create_path()
        inputFileNames = self.get_input_files()
        path.add_module(
            "RootInput",
            inputFileNames=inputFileNames,
        )
        path.add_module("Gearbox")
        tracking.add_geometry_modules(path)
        if 'DATA' in self.random_seed:
            filter_choice = "recording_data"
            from rawdata import add_unpackers
            add_unpackers(path, components=['CDC'])
        else:
            filter_choice = "recording"
            # tracking.add_hit_preparation_modules(path)  # only needed for SVD and
            # PXD hit preparation. Does not change the CDC output.
        tracking.add_cdc_track_finding(path, with_ca=False, add_mva_quality_indicator=True)
 
        basf2.set_module_parameters(
            path,
            name="TFCDC_TrackQualityEstimator",
            filter=filter_choice,
            filterParameters={
                "rootFileName": self.get_output_file_name(self.get_records_file_name())
            },
        )
        return path
 
 

output()

def output

(

self

)

Generate list of output files that the task should produce.
The task is considered finished if and only if the outputs all exist.

Definition at line 754 of file combined_quality_estimator_teacher.py.

requires()

def requires

(

self

)

Generate list of luigi Tasks that this Task depends on.

Definition at line 737 of file combined_quality_estimator_teacher.py.

Member Data Documentation

experiment_number

experiment_number = b2luigi.IntParameter()

static

Experiment number of the conditions database, e.g.

defines simulation geometry

Definition at line 696 of file combined_quality_estimator_teacher.py.

random_seed

random_seed = b2luigi.Parameter()

static

Random basf2 seed used by the GenerateSimTask.

It is further used to read of the production process to preserve clearness in the b2luigi output.

Definition at line 699 of file combined_quality_estimator_teacher.py.

---

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

• tracking/scripts/tracking/train/combined_quality_estimator_teacher.py