Inheritance 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
b2luigi	n_events = b2luigi.IntParameter()
	Number of events to generate.

b2luigi	experiment_number = b2luigi.IntParameter()
	Experiment number of the conditions database, e.g.

b2luigi	random_seed = b2luigi.Parameter()
	Random basf2 seed used by the GenerateSimTask.

str	queue = 'l'
	specify queue.

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 793 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 878 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
 
 

◆ get_input_files()

def get_input_files	(	self,
		n_events = `None`,
		random_seed = `None`
	)

Get input file names depending on the use case: If they already exist, search in
the corresponding folders, for data check the specified list and if they are created
in the same run, check for the task that produced them.

Definition at line 831 of file combined_quality_estimator_teacher.py.

    def get_input_files(self, n_events=None, random_seed=None):
        """
        Get input file names depending on the use case: If they already exist, search in
        the corresponding folders, for data check the specified list and if they are created
        in the same run, check for the task that produced them.
        """
        if n_events is None:
            n_events = self.n_events
        if random_seed is None:
            random_seed = self.random_seed
        if "USESIM" in random_seed:
            if 'USESIMBB' in random_seed:
                random_seed = 'BBBAR_' + random_seed.split("_", 1)[1]
            elif 'USESIMEE' in random_seed:
                random_seed = 'BHABHA_' + random_seed.split("_", 1)[1]
            return ['datafiles/' + GenerateSimTask.output_file_name(GenerateSimTask,
                                                                    n_events=n_events, random_seed=random_seed)]
        elif "DATA" in random_seed:
            return MasterTask.datafiles
        else:
            return self.get_input_file_names(GenerateSimTask.output_file_name(
                GenerateSimTask, n_events=n_events, random_seed=random_seed))
 

◆ get_records_file_name()

def get_records_file_name	(	self,
		n_events = `None`,
		random_seed = `None`
	)

Filename of the recorded/collected data for the final QE MVA training.

Create output file name depending on number of events and production
mode that is specified in the random_seed string.

Definition at line 811 of file combined_quality_estimator_teacher.py.

    def get_records_file_name(self,  n_events=None, random_seed=None):
        """
        Create output file name depending on number of events and production
        mode that is specified in the random_seed string.
        """
        if n_events is None:
            n_events = self.n_events
        if random_seed is None:
            random_seed = self.random_seed
        if 'cdc' not in random_seed:
            random_seed += '_cdc'
        if 'DATA' in random_seed:
            return 'qe_records_DATA_cdc.root'
        else:
            if 'USESIMBB' in random_seed:
                random_seed = 'BBBAR_' + random_seed.split("_", 1)[1]
            elif 'USESIMEE' in random_seed:
                random_seed = 'BHABHA_' + random_seed.split("_", 1)[1]
            return 'qe_records_N' + str(n_events) + '_' + random_seed + '.root'
 

◆ 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 871 of file combined_quality_estimator_teacher.py.

    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.
        """
        yield self.add_to_output(self.get_records_file_name())
 

◆ requires()

def requires ( self )

Generate list of luigi Tasks that this Task depends on.

Definition at line 854 of file combined_quality_estimator_teacher.py.

    def requires(self):
        """
        Generate list of luigi Tasks that this Task depends on.
        """
        if "USESIM" in self.random_seed or "DATA" in self.random_seed:
            for filename in self.get_input_files():
                yield CheckExistingFile(
                    filename=filename,
                    )
        else:
            yield SplitNMergeSimTask(
                bkgfiles_dir=MasterTask.bkgfiles_by_exp[self.experiment_number],
                random_seed=self.random_seed,
                n_events=self.n_events,
                experiment_number=self.experiment_number,
                )
 

Member Data Documentation

◆ experiment_number

b2luigi experiment_number = b2luigi.IntParameter()

static

Experiment number of the conditions database, e.g.

defines simulation geometry

Definition at line 803 of file combined_quality_estimator_teacher.py.

◆ n_events

b2luigi n_events = b2luigi.IntParameter()

static

Number of events to generate.

Definition at line 801 of file combined_quality_estimator_teacher.py.

◆ queue

str queue = 'l'

static

specify queue.

E.g. choose between 'l' (long), 's' (short) or 'sx' (short, extra ram)

Definition at line 808 of file combined_quality_estimator_teacher.py.

◆ random_seed

b2luigi 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 806 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

Public Member Functions

Static Public Attributes

Detailed Description

Member Function Documentation

◆ create_path()

◆ get_input_files()

◆ get_records_file_name()

◆ output()

◆ requires()

Member Data Documentation

◆ experiment_number

◆ n_events

◆ queue

◆ random_seed