Inheritance diagram for PRSideTrackingValidationModule:

Public Member Functions
def	__init__ (self, name, contact, output_file_name=None, reco_tracks_name='RecoTracks', mc_reco_tracks_name='MCRecoTracks', expert_level=None)

def	initialize (self)

def	prepare (self)

def	pick (self, reco_track)

def	peel (self, reco_track)

def	peel_pr_to_mc_match_info (self, reco_track)

Public Attributes
	reco_tracks_name
	Name of the StoreArray of the tracks from pattern recognition.

	mc_reco_tracks_name
	Name of the StoreArray of the ideal mc tracks.

	track_match_look_up
	Reference to the track match lookup object reading the relation information constructed by the MCMatcherTracksModule.

	mc_reco_tracks_det_hit_ids
	Cache for the hit content of the Monte Carlo tracks - updated each event.

	mc_hit_lookup
	Cache for the MC hit lookup.

Static Public Attributes
int	default_expert_level = 10
	the threshold value for the expert level

refiners	save_tree
	Save a tree of all collected variables in a sub folder.

refiners	save_clone_rate
	Save RecoTrack clone-rate information.

refiners	save_clone_rate_by_seed_tan_lambda_profile
	Make profile of the clone rate versus seed tan(lambda) Rename the quantities to names that display nicely by root latex translation.

refiners	save_clone_rate_by_seed_phi0_profile
	Make profile of the clone rate versus seed phi0 Rename the quantities to names that display nicely by root latex translation.

refiners	save_clone_rate_by_seed_pt_profile
	Make profile of the clone rate versus seed transverse momentum Rename the quantities to names that display nicely by root latex translation.

refiners	save_clone_rate_by_seed_pt_profile_groupbyCharge
	Charge dependent histograms Make profile of the clone rate versus seed transverse momentum.

refiners	save_clone_rate_by_seed_tan_lambda_profile_groupbyCharge
	Charge dependent histograms Make profile of the clone rate versus seed tan(lambda)

refiners	save_fake_rate
	Save RecoTrack fake-rate information.

refiners	save_fake_rate_by_seed_phi0_profile
	Make profile of the fake rate versus seed phi0 Rename the quantities to names that display nicely by root latex translation.

refiners	save_fake_rate_by_seed_tan_lambda_profile
	Make profile of the fake rate versus seed tan(lambda) Rename the quantities to names that display nicely by root latex translation.

refiners	save_fake_rate_by_seed_pt_profile
	Make profile of the fake rate versus seed transverse momentum Rename the quantities to names that display nicely by root latex translation.

refiners	save_fake_rate_by_seed_tan_lambda_profile_groupbyCharge
	Charge dependent histograms Make profile of the fake rate versus seed tan(lambda)

refiners	save_fake_rate_by_seed_pt_profile_groupbyCharge
	Charge dependent histograms Make profile of the fake rate versus seed transverse momentum.

refiners	save_hit_counts_by_pt_profile
	Hit counts in each sub detector by the true pt value.

refiners	save_hit_efficiency_by_pt_profile
	Hit efficiency in each sub detector by the true pt value.

refiners	save_hit_purity_by_pt_profile
	Hit purity in each sub detector by the true pt value.

refiners	save_hit_counts_by_tanlambda_profile
	Hit counts in each sub detector by the true tanlambda value.

refiners	save_hit_efficiency_by_tanlambda_profile
	Hit efficiency in each sub detector by the true tanlambda value.

refiners	save_hit_purity_by_tanlambda_profile
	Hit purity in each sub detector by the true tanlambda value.

refiners	save_hit_counts_by_pt_profile_groupbyCharge
	Charge dependent histograms Hit counts in each sub detector by the true pt value.

refiners	save_hit_counts_by_tanlambda_profile_groupbyCharge
	Charge dependent histograms Hit counts in each sub detector by the true tan lambda value.

refiners	save_hit_efficiency_by_pt_profile_groupbyCharge
	Charge dependent histograms Hit efficiency in each sub detector by the true pt value.

refiners	save_hit_efficiency_by_tanlambda_profile_groupbyCharge
	Charge dependent histograms Hit efficiency in each sub detector by the true tan lambda value.

refiners	save_hit_efficiency
	Save simple FOM.

refiners	save_pxd_hit_efficiency
	Save simple FOM.

refiners	save_svd_hit_efficiency
	Save simple FOM.

refiners	save_cdc_hit_efficiency
	Save simple FOM.

refiners	save_hit_purity
	Save simple FOM.

refiners	save_pxd_hit_purity
	Save simple FOM.

refiners	save_svd_hit_purity
	Save simple FOM.

refiners	save_cdc_hit_purity
	Save simple FOM.

refiners	save_p_value_histogram
	Creates a distribution of p values from the Genfit track fit for match pr tracks.

refiners	save_seed_omega_pull_analysis
	Pull of seed omega.

refiners	save_seed_tan_lambda_pull_analysis
	Pull of seed tan(lambda)

refiners	save_fitted_omega_pull_analysis
	Pull of fitted omega.

refiners	save_fitted_tan_lambda_pull_analysis
	Pull of fitted tan(lambda)

refiners	save_fitted_pt_pull_analysis
	Pull of fitted transverse momentum.

refiners	save_fitted_x_pull_analysis
	Pull of fitted x coordinate grouped by true transverse momentum.

refiners	save_fitted_y_pull_analysis
	Pull of fitted y coordinate grouped by true transverse momentum.

refiners	save_fitted_z_pull_analysis
	Pull of fitted z coordinate grouped by true transverse momentum.

refiners	save_resolutions_by_pt_profile
	Resolutions as a function of true p_t.

Detailed Description

Module to collect matching information about the found particles and to generate
   validation plots and figures of merit on the performance of track finding.

 Expert level behavior:
    expert_level <= default_expert_level: all figures and plots from this module except tree entries
    expert_level > default_expert_level: everything including tree entries

Definition at line 25 of file pr_side_module.py.

Constructor & Destructor Documentation

◆ init()

def __init__	(	self,
		name,
		contact,
		output_file_name = `None`,
		reco_tracks_name = `'RecoTracks'`,
		mc_reco_tracks_name = `'MCRecoTracks'`,
		expert_level = `None`
	)

Constructor

Definition at line 36 of file pr_side_module.py.

            expert_level=None):
        """Constructor"""
 
        output_file_name = output_file_name or name + 'TrackingValidation.root'
        super().__init__(foreach=reco_tracks_name,
                         name=name,
                         contact=contact,
                         output_file_name=output_file_name,
                         expert_level=expert_level)
 
        self.reco_tracks_name = reco_tracks_name
 
        self.mc_reco_tracks_name = mc_reco_tracks_name
 
        self.track_match_look_up = None
 
        self.mc_reco_tracks_det_hit_ids = []
 
        self.mc_hit_lookup = Belle2.TrackFindingCDC.CDCMCHitLookUp.getInstance()

Member Function Documentation

◆ initialize()

def initialize ( self )

Receive signal at the start of event processing

Definition at line 68 of file pr_side_module.py.

    def initialize(self):
        """Receive signal at the start of event processing"""
        super().initialize()
        self.track_match_look_up = Belle2.TrackMatchLookUp(self.mc_reco_tracks_name,
                                                           self.reco_tracks_name)
 

◆ peel()

def peel	(	self,
		reco_track
	)

Looks at the individual pattern recognition tracks and store information about them

Definition at line 92 of file pr_side_module.py.

    def peel(self, reco_track):
        """Looks at the individual pattern recognition tracks and store information about them"""
        track_match_look_up = self.track_match_look_up
 
        # Matching information
        mc_reco_track = track_match_look_up.getRelatedMCRecoTrack(reco_track)
        mc_particle = track_match_look_up.getRelatedMCParticle(reco_track)
        mc_particle_crops = peelers.peel_mc_particle(mc_particle)
 
        hit_content_crops = peelers.peel_reco_track_hit_content(reco_track)
 
        pr_to_mc_match_info_crops = self.peel_pr_to_mc_match_info(reco_track)
 
        # Peel function to get hit purity of subdetectors
        subdetector_hit_purity_crops = peelers.peel_subdetector_hit_purity(reco_track, mc_reco_track)
 
        # Information on TrackFinders
        trackfinder_crops = peelers.peel_trackfinder(reco_track)
 
        # Basic peel function to get Quality Indicators
        qualityindicator_crops = peelers.peel_quality_indicators(reco_track)
 
        # Get the fit results
        seed_fit_crops = peelers.peel_reco_track_seed(reco_track)
 
        fit_result = track_match_look_up.getRelatedTrackFitResult(reco_track)
        fit_crops = peelers.peel_track_fit_result(fit_result)
        fit_status_crops = peelers.peel_fit_status(reco_track)
 
        correct_rl_information = sum(peelers.is_correct_rl_information(cdc_hit, reco_track, self.mc_hit_lookup)
                                     for cdc_hit in getObjectList(reco_track.getCDCHitList()))
 
        crops = dict(
            correct_rl_information=correct_rl_information,
            **mc_particle_crops,
            **hit_content_crops,
            **pr_to_mc_match_info_crops,
            **subdetector_hit_purity_crops,  # Custom
            **trackfinder_crops,
            **qualityindicator_crops,
            **seed_fit_crops,
            **fit_crops,
            **fit_status_crops,
        )
 
        if self.expert_level >= self.default_expert_level:
 
            # Event Info
            event_meta_data = Belle2.PyStoreObj("EventMetaData")
            event_crops = peelers.peel_event_info(event_meta_data)
 
            # Store Array for easier joining
            store_array_crops = peelers.peel_store_array_info(reco_track, key="pr_{part_name}")
            mc_store_array_crops = peelers.peel_store_array_info(mc_reco_track, key="mc_{part_name}")
 
            # Information on PR reco track
            mc_efficiency_information = {
                "mc_hit_efficiency": track_match_look_up.getRelatedEfficiency(mc_reco_track) if mc_reco_track else float("nan"),
                **peelers.peel_subdetector_hit_efficiency(reco_track=reco_track, mc_reco_track=mc_reco_track,
                                                          key="mc_{part_name}")
            }
 
            crops.update(
                **event_crops,
                **store_array_crops,
                **mc_store_array_crops,
                **mc_efficiency_information
            )
 
        return crops
 

◆ peel_pr_to_mc_match_info()

def peel_pr_to_mc_match_info	(	self,
		reco_track
	)

Extracts track-match information from the MCMatcherTracksModule results

Definition at line 163 of file pr_side_module.py.

    def peel_pr_to_mc_match_info(self, reco_track):
        """Extracts track-match information from the MCMatcherTracksModule results"""
        track_match_look_up = self.track_match_look_up
        is_matched = track_match_look_up.isAnyChargeMatchedPRRecoTrack(reco_track)
        is_matched_correct_charge = track_match_look_up.isCorrectChargeMatchedPRRecoTrack(reco_track)
        is_matched_wrong_charge = track_match_look_up.isWrongChargeMatchedPRRecoTrack(reco_track)
        is_clone = track_match_look_up.isAnyChargeClonePRRecoTrack(reco_track)
        is_clone_correct_charge = track_match_look_up.isCorrectChargeClonePRRecoTrack(reco_track)
        is_clone_wrong_charge = track_match_look_up.isWrongChargeClonePRRecoTrack(reco_track)
        is_background = track_match_look_up.isBackgroundPRRecoTrack(reco_track)
        is_ghost = track_match_look_up.isGhostPRRecoTrack(reco_track)
 
        reco_track_det_hit_ids = utilities.get_det_hit_ids(reco_track)
        n_intersecting_mc_tracks = 0
        for mc_reco_track_det_hit_ids in self.mc_reco_tracks_det_hit_ids:
            intersects = len(mc_reco_track_det_hit_ids & reco_track_det_hit_ids) > 0
            if intersects:
                n_intersecting_mc_tracks += 1
 
        mc_particle = track_match_look_up.getRelatedMCParticle(reco_track)
        mc_is_primary = False
        if mc_particle:
            mc_is_primary = bool(mc_particle.hasStatus(Belle2.MCParticle.c_PrimaryParticle))
 
        return dict(
            is_matched=is_matched,
            is_matchedPrimary=is_matched and mc_is_primary,
            is_matched_correct_charge=is_matched_correct_charge,
            is_matchedPrimary_correct_charge=is_matched_correct_charge and mc_is_primary,
            is_matched_wrong_charge=is_matched_wrong_charge,
            is_matchedPrimary_wrong_charge=is_matched_wrong_charge and mc_is_primary,
 
            is_clone=is_clone,
            is_clone_correct_charge=is_clone_correct_charge,
            is_clone_wrong_charge=is_clone_wrong_charge,
 
            is_background=is_background,
            is_ghost=is_ghost,
            is_clone_or_match=(is_matched or is_clone),
            is_fake=not (is_matched or is_clone),
            hit_purity=track_match_look_up.getRelatedPurity(reco_track),
            n_intersecting_mc_tracks=n_intersecting_mc_tracks,
        )
 

◆ pick()

def pick	(	self,
		reco_track
	)

Method to filter the track candidates to reject part of them

Definition at line 88 of file pr_side_module.py.

    def pick(self, reco_track):
        """Method to filter the track candidates to reject part of them"""
        return True
 

◆ prepare()

def prepare ( self )

Called once at the start of each event

Definition at line 74 of file pr_side_module.py.

    def prepare(self):
        """Called once at the start of each event"""
        super().prepare()
        mc_reco_tracks = Belle2.PyStoreArray(self.mc_reco_tracks_name)
        mc_reco_tracks_det_hit_ids = []
 
        for mc_reco_track in mc_reco_tracks:
            mc_reco_track_det_hit_ids = utilities.get_det_hit_ids(mc_reco_track)
            mc_reco_tracks_det_hit_ids.append(mc_reco_track_det_hit_ids)
 
        self.mc_reco_tracks_det_hit_ids = mc_reco_tracks_det_hit_ids
 
        self.mc_hit_lookup.fill()
 

Member Data Documentation

◆ default_expert_level

int default_expert_level = 10

static

the threshold value for the expert level

Definition at line 34 of file pr_side_module.py.

◆ mc_hit_lookup

mc_hit_lookup

Cache for the MC hit lookup.

Definition at line 66 of file pr_side_module.py.

◆ mc_reco_tracks_det_hit_ids

mc_reco_tracks_det_hit_ids

Cache for the hit content of the Monte Carlo tracks - updated each event.

Definition at line 63 of file pr_side_module.py.

◆ mc_reco_tracks_name

mc_reco_tracks_name

Name of the StoreArray of the ideal mc tracks.

Definition at line 57 of file pr_side_module.py.

◆ reco_tracks_name

reco_tracks_name

Name of the StoreArray of the tracks from pattern recognition.

Definition at line 54 of file pr_side_module.py.

◆ save_cdc_hit_efficiency

refiners save_cdc_hit_efficiency

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 674 of file pr_side_module.py.

◆ save_cdc_hit_purity

refiners save_cdc_hit_purity

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 726 of file pr_side_module.py.

◆ save_clone_rate

refiners save_clone_rate

static

Initial value:

=  refiners.save_fom(
        
    )

Save RecoTrack clone-rate information.

Definition at line 218 of file pr_side_module.py.

◆ save_clone_rate_by_seed_phi0_profile

refiners save_clone_rate_by_seed_phi0_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the clone rate versus seed phi0 Rename the quantities to names that display nicely by root latex translation.

Definition at line 251 of file pr_side_module.py.

◆ save_clone_rate_by_seed_pt_profile

refiners save_clone_rate_by_seed_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the clone rate versus seed transverse momentum Rename the quantities to names that display nicely by root latex translation.

Definition at line 266 of file pr_side_module.py.

◆ save_clone_rate_by_seed_pt_profile_groupbyCharge

refiners save_clone_rate_by_seed_pt_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Make profile of the clone rate versus seed transverse momentum.

Definition at line 284 of file pr_side_module.py.

◆ save_clone_rate_by_seed_tan_lambda_profile

refiners save_clone_rate_by_seed_tan_lambda_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the clone rate versus seed tan(lambda) Rename the quantities to names that display nicely by root latex translation.

Definition at line 233 of file pr_side_module.py.

◆ save_clone_rate_by_seed_tan_lambda_profile_groupbyCharge

refiners save_clone_rate_by_seed_tan_lambda_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Make profile of the clone rate versus seed tan(lambda)

Definition at line 303 of file pr_side_module.py.

◆ save_fake_rate

refiners save_fake_rate

static

Initial value:

=  refiners.save_fom(
        
    )

Save RecoTrack fake-rate information.

Definition at line 321 of file pr_side_module.py.

◆ save_fake_rate_by_seed_phi0_profile

refiners save_fake_rate_by_seed_phi0_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the fake rate versus seed phi0 Rename the quantities to names that display nicely by root latex translation.

Definition at line 336 of file pr_side_module.py.

◆ save_fake_rate_by_seed_pt_profile

refiners save_fake_rate_by_seed_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the fake rate versus seed transverse momentum Rename the quantities to names that display nicely by root latex translation.

Definition at line 366 of file pr_side_module.py.

◆ save_fake_rate_by_seed_pt_profile_groupbyCharge

refiners save_fake_rate_by_seed_pt_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Make profile of the fake rate versus seed transverse momentum.

Definition at line 400 of file pr_side_module.py.

◆ save_fake_rate_by_seed_tan_lambda_profile

refiners save_fake_rate_by_seed_tan_lambda_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Make profile of the fake rate versus seed tan(lambda) Rename the quantities to names that display nicely by root latex translation.

Definition at line 350 of file pr_side_module.py.

◆ save_fake_rate_by_seed_tan_lambda_profile_groupbyCharge

refiners save_fake_rate_by_seed_tan_lambda_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Make profile of the fake rate versus seed tan(lambda)

Definition at line 382 of file pr_side_module.py.

◆ save_fitted_omega_pull_analysis

refiners save_fitted_omega_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted omega.

Definition at line 776 of file pr_side_module.py.

◆ save_fitted_pt_pull_analysis

refiners save_fitted_pt_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted transverse momentum.

Definition at line 797 of file pr_side_module.py.

◆ save_fitted_tan_lambda_pull_analysis

refiners save_fitted_tan_lambda_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted tan(lambda)

Definition at line 787 of file pr_side_module.py.

◆ save_fitted_x_pull_analysis

refiners save_fitted_x_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted x coordinate grouped by true transverse momentum.

Definition at line 807 of file pr_side_module.py.

◆ save_fitted_y_pull_analysis

refiners save_fitted_y_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted y coordinate grouped by true transverse momentum.

Definition at line 818 of file pr_side_module.py.

◆ save_fitted_z_pull_analysis

refiners save_fitted_z_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of fitted z coordinate grouped by true transverse momentum.

Definition at line 829 of file pr_side_module.py.

◆ save_hit_counts_by_pt_profile

refiners save_hit_counts_by_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit counts in each sub detector by the true pt value.

Definition at line 417 of file pr_side_module.py.

◆ save_hit_counts_by_pt_profile_groupbyCharge

refiners save_hit_counts_by_pt_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Hit counts in each sub detector by the true pt value.

Definition at line 544 of file pr_side_module.py.

◆ save_hit_counts_by_tanlambda_profile

refiners save_hit_counts_by_tanlambda_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit counts in each sub detector by the true tanlambda value.

Definition at line 480 of file pr_side_module.py.

◆ save_hit_counts_by_tanlambda_profile_groupbyCharge

refiners save_hit_counts_by_tanlambda_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Hit counts in each sub detector by the true tan lambda value.

Definition at line 567 of file pr_side_module.py.

◆ save_hit_efficiency

refiners save_hit_efficiency

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 635 of file pr_side_module.py.

◆ save_hit_efficiency_by_pt_profile

refiners save_hit_efficiency_by_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit efficiency in each sub detector by the true pt value.

Definition at line 438 of file pr_side_module.py.

◆ save_hit_efficiency_by_pt_profile_groupbyCharge

refiners save_hit_efficiency_by_pt_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Hit efficiency in each sub detector by the true pt value.

Definition at line 590 of file pr_side_module.py.

◆ save_hit_efficiency_by_tanlambda_profile

refiners save_hit_efficiency_by_tanlambda_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit efficiency in each sub detector by the true tanlambda value.

Definition at line 501 of file pr_side_module.py.

◆ save_hit_efficiency_by_tanlambda_profile_groupbyCharge

refiners save_hit_efficiency_by_tanlambda_profile_groupbyCharge

static

Initial value:

=  refiners.save_profiles(
        
    )

Charge dependent histograms Hit efficiency in each sub detector by the true tan lambda value.

Definition at line 613 of file pr_side_module.py.

◆ save_hit_purity

refiners save_hit_purity

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 687 of file pr_side_module.py.

◆ save_hit_purity_by_pt_profile

refiners save_hit_purity_by_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit purity in each sub detector by the true pt value.

Definition at line 459 of file pr_side_module.py.

◆ save_hit_purity_by_tanlambda_profile

refiners save_hit_purity_by_tanlambda_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Hit purity in each sub detector by the true tanlambda value.

Definition at line 522 of file pr_side_module.py.

◆ save_p_value_histogram

refiners save_p_value_histogram

static

Initial value:

=  refiners.save_histograms(
        
    )

Creates a distribution of p values from the Genfit track fit for match pr tracks.

Definition at line 739 of file pr_side_module.py.

◆ save_pxd_hit_efficiency

refiners save_pxd_hit_efficiency

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 648 of file pr_side_module.py.

◆ save_pxd_hit_purity

refiners save_pxd_hit_purity

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 700 of file pr_side_module.py.

◆ save_resolutions_by_pt_profile

refiners save_resolutions_by_pt_profile

static

Initial value:

=  refiners.save_profiles(
        
    )

Resolutions as a function of true p_t.

Definition at line 840 of file pr_side_module.py.

◆ save_seed_omega_pull_analysis

refiners save_seed_omega_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of seed omega.

Definition at line 753 of file pr_side_module.py.

◆ save_seed_tan_lambda_pull_analysis

refiners save_seed_tan_lambda_pull_analysis

static

Initial value:

=  refiners.save_pull_analysis(
        
    )

Pull of seed tan(lambda)

Definition at line 765 of file pr_side_module.py.

◆ save_svd_hit_efficiency

refiners save_svd_hit_efficiency

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 661 of file pr_side_module.py.

◆ save_svd_hit_purity

refiners save_svd_hit_purity

static

Initial value:

=  refiners.save_fom(
        
    )

Save simple FOM.

Definition at line 713 of file pr_side_module.py.

◆ save_tree

refiners save_tree

static

Initial value:

=  refiners.save_tree(
        
    )

Save a tree of all collected variables in a sub folder.

Definition at line 211 of file pr_side_module.py.

◆ track_match_look_up

track_match_look_up

Reference to the track match lookup object reading the relation information constructed by the MCMatcherTracksModule.

Definition at line 60 of file pr_side_module.py.

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

tracking/scripts/tracking/harvesting_validation/pr_side_module.py

Public Member Functions

Public Attributes

Static Public Attributes

Detailed Description

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ initialize()

◆ peel()

◆ peel_pr_to_mc_match_info()

◆ pick()

◆ prepare()

Member Data Documentation

◆ default_expert_level

◆ mc_hit_lookup

◆ mc_reco_tracks_det_hit_ids

◆ mc_reco_tracks_name

◆ reco_tracks_name

◆ save_cdc_hit_efficiency

◆ save_cdc_hit_purity

◆ save_clone_rate

◆ save_clone_rate_by_seed_phi0_profile

◆ save_clone_rate_by_seed_pt_profile

◆ save_clone_rate_by_seed_pt_profile_groupbyCharge

◆ save_clone_rate_by_seed_tan_lambda_profile

◆ save_clone_rate_by_seed_tan_lambda_profile_groupbyCharge

◆ save_fake_rate

◆ save_fake_rate_by_seed_phi0_profile

◆ save_fake_rate_by_seed_pt_profile

◆ save_fake_rate_by_seed_pt_profile_groupbyCharge

◆ save_fake_rate_by_seed_tan_lambda_profile

◆ save_fake_rate_by_seed_tan_lambda_profile_groupbyCharge

◆ save_fitted_omega_pull_analysis

◆ save_fitted_pt_pull_analysis

◆ save_fitted_tan_lambda_pull_analysis

◆ save_fitted_x_pull_analysis

◆ save_fitted_y_pull_analysis

◆ save_fitted_z_pull_analysis

◆ save_hit_counts_by_pt_profile

◆ save_hit_counts_by_pt_profile_groupbyCharge

◆ save_hit_counts_by_tanlambda_profile

◆ save_hit_counts_by_tanlambda_profile_groupbyCharge

◆ save_hit_efficiency

◆ save_hit_efficiency_by_pt_profile

◆ save_hit_efficiency_by_pt_profile_groupbyCharge

◆ save_hit_efficiency_by_tanlambda_profile

◆ save_hit_efficiency_by_tanlambda_profile_groupbyCharge

◆ save_hit_purity

◆ save_hit_purity_by_pt_profile

◆ save_hit_purity_by_tanlambda_profile

◆ save_p_value_histogram

◆ save_pxd_hit_efficiency

◆ save_pxd_hit_purity

◆ save_resolutions_by_pt_profile

◆ save_seed_omega_pull_analysis

◆ save_seed_tan_lambda_pull_analysis

◆ save_svd_hit_efficiency

◆ save_svd_hit_purity

◆ save_tree

◆ track_match_look_up

◆ init()