LegendreBinningValidationModule Class Reference

Inheritance diagram for LegendreBinningValidationModule:

Collaboration diagram for LegendreBinningValidationModule:

Public Member Functions
def	__init__ (self, output_file_name)
def	initialize (self)
def	prepare (self)
def	pick (self, track)
def	peel (self, track)

Public Attributes
	mc_track_lookup
	by default, there is no method to find matching MC tracks More...
	track_fitter
	Use the CDCReimannFitter with a constrained origin for track fitting.
	lower_curv_bounds
	cached copy of lower bounds
	upper_curv_bounds
	cached copy of upper bounds
	mc_hit_lookup
	Method to find matching MC hits.

Static Public Attributes
	save_tree = refiners.save_tree()
	Save a tree of all collected variables in a sub folder.
	save_histograms = refiners.save_histograms(outlier_z_score=5.0, allow_discrete=True)
	Save histograms in a sub folder.
	save_profiles
	Save profile histograms in a sub folder. More...
	save_cross_curv_profile
	Save cross-curvature profile histograms in a sub folder. More...
	save_scatter = refiners.save_scatters(x=['curvature_estimate'], y='n_hits')
	Save scatterplots in a sub folder.

Detailed Description

Module to collect information about the generated segments and
compose validation plots on terminate.

Definition at line 79 of file record.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			output_file_name
	)

Constructor

Definition at line 84 of file record.py.

    def __init__(self, output_file_name):
        """Constructor"""
        super().__init__(foreach='CDCTrackVector',
                         output_file_name=output_file_name)
 
        
        self.mc_track_lookup = None
 
        origin_track_fitter = TFCDC.CDCRiemannFitter()
        origin_track_fitter.setOriginConstrained()
        
        self.track_fitter = origin_track_fitter
 
        curv_bounds = []
        with open('fine_curv_bounds.txt') as curv_bounds_file:
            for curv_bound_line in curv_bounds_file:
                curv_bounds.append(float(curv_bound_line))
 
        bin_bounds = list(zip(curv_bounds[0::2], curv_bounds[1::2]))
        bin_bounds = sorted(bin_bounds)
 
        
        self.lower_curv_bounds = np.array([bin[0] for bin in bin_bounds])
        
        self.upper_curv_bounds = np.array([bin[1] for bin in bin_bounds])
 
        assert(len(self.lower_curv_bounds) == len(self.upper_curv_bounds))
 

Member Function Documentation

initialize()

def initialize

(

self

)

Receive signal at the start of event processing

Definition at line 112 of file record.py.

peel()

def peel	(		self,
			track
	)

Aggregate the track and MC information for track-segment analysis

Definition at line 132 of file record.py.

pick()

def pick	(		self,
			track
	)

Select tracks with at least 4 segments and associated primary MC particle

Definition at line 124 of file record.py.

prepare()

def prepare

(

self

)

Initialize the MC-hit lookup method

Definition at line 120 of file record.py.

Member Data Documentation

mc_track_lookup

mc_track_lookup

by default, there is no method to find matching MC tracks

Method to find matching MC tracks.

Definition at line 90 of file record.py.

save_cross_curv_profile

save_cross_curv_profile

static

Initial value:

=  refiners.save_profiles(x=['cross_curv'],
                                                     y=['cross_curv_var',
                                                        'curvature_estimate',
                                                        'basic_curv_precision',
                                                        'origin_curv_precision',
                                                        'non_origin_curv_precision',
                                                        'max_curv_precision',
                                                        ],
                                                     outlier_z_score=5.0)

Save cross-curvature profile histograms in a sub folder.

Definition at line 221 of file record.py.

save_profiles

save_profiles

static

Initial value:

=  refiners.save_profiles(x=['curvature_estimate', 'phi0'],
                                           y='curvature_variance',
                                           outlier_z_score=5.0)

Save profile histograms in a sub folder.

Definition at line 216 of file record.py.

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

• tracking/trackFindingCDC/studies/legendreBinning/record.py