SegmentFitValidationModule Class Reference

Inheritance diagram for SegmentFitValidationModule:

Collaboration diagram for SegmentFitValidationModule:

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

Public Attributes
	mc_segment_lookup
	by default, there is no method to find matching MC track segments More...
	mc_hit_lookup
	Method to find matching MC hits.

Static Public Attributes
	save_histograms = refiners.save_histograms(outlier_z_score=5.0, allow_discrete=True)
	Save histograms in a sub folder.
	save_tree = refiners.save_tree()
	Save a tree of all collected variables in a sub folder.
	save_curvature_pull
	Save curvature-pull information in a sub folder. More...
	save_curvature_pull_rl_pure
	Save right-left curvature-pull information in a sub folder. More...
	save_absolute_curvature_pull
	Save absolute curvature-pull information in a sub folder. More...
	save_fit_quality_histograms
	Save fit-quality histograms in a sub folder. More...

Detailed Description

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

Definition at line 225 of file record.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			output_file_name
	)

Constructor

Definition at line 230 of file record.py.

Member Function Documentation

initialize()

def initialize

(

self

)

Receive signal at the start of event processing

Definition at line 238 of file record.py.

peel()

def peel	(		self,
			segment
	)

Aggregate the track and MC information for track-segment analysis

Definition at line 259 of file record.py.

pick()

def pick	(		self,
			segment
	)

Select segments with 4 or more hits and a matching primary MC particle

Definition at line 251 of file record.py.

prepare()

def prepare

(

self

)

Initialize the MC-hit lookup method

Definition at line 247 of file record.py.

Member Data Documentation

mc_segment_lookup

mc_segment_lookup

by default, there is no method to find matching MC track segments

Method to find matching MC track segments.

Definition at line 236 of file record.py.

save_absolute_curvature_pull

save_absolute_curvature_pull

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="curvature",
        unit="1/cm",
        absolute=True,
        aux_names=["tan_lambda_truth", "abs_curvature_truth"],
        groupby=[
            "stereo_kind",
            "superlayer_id"
        ],
        outlier_z_score=4.0,
        title_postfix="")

Save absolute curvature-pull information in a sub folder.

Definition at line 381 of file record.py.

save_curvature_pull

save_curvature_pull

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="curvature",
        unit="1/cm",
        absolute=False,
        aux_names=["tan_lambda_truth", "abs_curvature_truth"],
        groupby=[
            "stereo_kind",
            "superlayer_id"
        ],
        outlier_z_score=4.0,
        title_postfix="")

Save curvature-pull information in a sub folder.

Definition at line 351 of file record.py.

save_curvature_pull_rl_pure

save_curvature_pull_rl_pure

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="curvature",
        unit="1/cm",
        absolute=True,
        filter_on="rl_purity",
        filter=lambda rl_purity: rl_purity > 0.5,
        aux_names=["tan_lambda_truth", "abs_curvature_truth"],
        groupby=[
            "stereo_kind",
            "superlayer_id"
        ],
        outlier_z_score=4.0,
        title_postfix="",
        folder_name="rl_pure/{groupby_addition}"
    )

Save right-left curvature-pull information in a sub folder.

Definition at line 364 of file record.py.

save_fit_quality_histograms

save_fit_quality_histograms

static

Initial value:

=  refiners.save_histograms(
        outlier_z_score=5.0,
        select={
            "ndf": "ndf",
            "chi2": "#chi2",
            "p_value": "p-value",
            "tan_lambda_truth": "true tan #lambda",
        },
        groupby=[None, "stereo_kind", "superlayer_id"],
        title="Histogram of {part_name}{stacked_by_indication}{stackby}",
        description="Distribution of {part_name} in the segment fits",
    )

Save fit-quality histograms in a sub folder.

Definition at line 394 of file record.py.

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

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