SegmentPairFitValidationModule Class Reference

Inheritance diagram for SegmentPairFitValidationModule:

Collaboration diagram for SegmentPairFitValidationModule:

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

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

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_aux
	Save curvature-pull auxiliary information in a sub folder. More...
	save_curvature_pull
	Save curvature-pull information in a sub folder. More...
	save_absolute_curvature_pull
	Save absolute curvature-pull information in a sub folder. More...
	save_tan_lambda_pull
	Save tan(lambda)-fit pull information in a sub folder. More...
	save_fit_quality_histograms
	Save fit-quality histograms in a sub folder. More...
	save_fit_quality_by_tan_lambda_profiles
	Save tan(lambda)-fit-quality profile histograms in a sub folder. More...

Detailed Description

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

Definition at line 243 of file record.py.

Constructor & Destructor Documentation

__init__()

def __init__	(		self,
			output_file_name
	)

Constructor

Definition at line 248 of file record.py.

Member Function Documentation

initialize()

def initialize

(

self

)

Receive signal at the start of event processing

Definition at line 258 of file record.py.

peel()

def peel	(		self,
			segment_pair
	)

Aggregate the track and MC information for track-segment analysis

Definition at line 278 of file record.py.

pick()

def pick	(		self,
			segment_pair
	)

Select segment pairs with 4 or more hits per segment and a matching primary MC particle

Definition at line 267 of file record.py.

prepare()

def prepare

(

self

)

Initialize the MC-hit lookup method

Definition at line 263 of file record.py.

Member Data Documentation

save_absolute_curvature_pull

save_absolute_curvature_pull

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="curvature",
        unit="1/cm",
        absolute=True,
        groupby=[None, "superlayer_id_pair"],
        outlier_z_score=3.0)

Save absolute curvature-pull information in a sub folder.

Definition at line 325 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,
        groupby=[None, "superlayer_id_pair"],
        outlier_z_score=3.0)

Save curvature-pull information in a sub folder.

Definition at line 317 of file record.py.

save_curvature_pull_aux

save_curvature_pull_aux

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="curvature",
        folder_name="aux",
        unit="1/cm",
        absolute=False,
        aux_names=["superlayer_id_pair", "tan_lambda_truth"],
        which_plots=["aux"],
        outlier_z_score=3.0)

Save curvature-pull auxiliary information in a sub folder.

Definition at line 307 of file record.py.

save_fit_quality_by_tan_lambda_profiles

save_fit_quality_by_tan_lambda_profiles

static

Initial value:

=  refiners.save_profiles(
        select={
            "p_value": "fit p-value",
            "tan_lambda_truth": "true tan #lambda",
        },
        groupby=[None, "superlayer_id_pair"],
        x="true tan #lambda",
        y="fit p-value",
        check=("The {y_part_name} should be essentially the same over"
               "the whole range of the tan lambda spectrum"),
        description=("Investigating the reconstruction quality for different "
                     "tan lambda regions of the CDC. Most notably is the superlayer dependency."
                     "For stereo superlayers the curve is not flat but has distinct slope."),
        fit='line',
    )

Save tan(lambda)-fit-quality profile histograms in a sub folder.

Definition at line 352 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",
                },
        groupby=[None, "superlayer_id_pair"],
        description="Distribution of {part_name} in the segment fits",
    )

Save fit-quality histograms in a sub folder.

Definition at line 341 of file record.py.

save_tan_lambda_pull

save_tan_lambda_pull

static

Initial value:

=  refiners.save_pull_analysis(
        part_name="tan_lambda",
        quantity_name="tan #lambda",
        absolute=False,
        groupby=[None, "superlayer_id_pair"],
        outlier_z_score=3.0)

Save tan(lambda)-fit pull information in a sub folder.

Definition at line 333 of file record.py.

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

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