Inheritance diagram for CheckAppliedSFs.ReleaseComparer:

Collaboration diagram for CheckAppliedSFs.ReleaseComparer:

Public Types
typedef HLT::TypeInformation::for_each_type_c< typenameEDMLIST::map, my_functor, my_result<>, my_arg< HLT::TypeInformation::get_cont, CONTAINER > >::type	result

Public Member Functions
	__init__ (self, var_name="", axis_title="", bins=-1, bmin=0., bmax=0., bin_width=-1, bdir=None, name_old_rel="", name_new_rel="", test_tree=None, branch_old="", branch_new="", weight_old=None, weight_new=None, log_binning=False)
	pass_cut (self)
	fill (self)
	get_old_histo (self)
	get_new_histo (self)
	get_old_var (self)
	get_new_var (self)
	get_old_weight (self)
	get_new_weight (self)
	finalize (self)
	name (self)

Private Attributes
	__old_branch = test_tree.GetLeaf(branch_old)
	Direct access to the branch which are going to be compared.
	__new_branch = test_tree.GetLeaf(branch_new)
int	__old_weight = 1. if not weight_old else test_tree.GetLeaf(weight_old)
	Weights as a function of the muon kinematics.
int	__new_weight = 1. if not weight_new else test_tree.GetLeaf(weight_new)
	__quality_branch = test_tree.GetLeaf("Muon_quality")
int	__min_quality = -1 else 1
int	__max_quality = 2
	__var_name = var_name
	__old_histo
	__new_histo

Detailed Description

Definition at line 10 of file CheckAppliedSFs.py.

Member Typedef Documentation

◆ result

typedef HLT::TypeInformation::for_each_type_c<typenameEDMLIST::map,my_functor,my_result<>,my_arg<HLT::TypeInformation::get_cont,CONTAINER>>::type master_search< typenameEDMLIST::map, HLT::TypeInformation::get_cont, CONTAINER >::result

inherited

Definition at line 90 of file EDM_MasterSearch.h.

Constructor & Destructor Documentation

◆ init()

CheckAppliedSFs.ReleaseComparer.__init__	(	self,
		var_name = "",
		axis_title = "",
		bins = -1,
		bmin = 0.,
		bmax = 0.,
		bin_width = -1,
		bdir = None,
		name_old_rel = "",
		name_new_rel = "",
		test_tree = None,
		branch_old = "",
		branch_new = "",
		weight_old = None,
		weight_new = None,
		log_binning = False )

Definition at line 11 of file CheckAppliedSFs.py.

                 ):
        
        self.__old_branch = test_tree.GetLeaf(branch_old)
        self.__new_branch = test_tree.GetLeaf(branch_new)
        if not self.__old_branch:
            raise NameError("Could not find "+branch_old+" in the Tree")
            
        if not self.__new_branch:
            raise NameError("Could not find "+branch_new+" in the Tree")
        
        self.__old_weight = 1. if not weight_old else test_tree.GetLeaf(weight_old)
        self.__new_weight = 1. if not weight_new else test_tree.GetLeaf(weight_new)
        if weight_old and not self.__old_weight:
            raise NameError("Could not find "+weight_old+" in the Tree")
        if weight_new and not self.__new_weight:
            raise NameError("Could not find "+weight_new+" in the Tree")
            
        self.__quality_branch = test_tree.GetLeaf("Muon_quality")
        if branch_old.find("HighPt") != -1 : self.__quality_branch = test_tree.GetLeaf("Muon_isHighPt")
        if branch_old.find("LowPt")  != -1 : self.__quality_branch = test_tree.GetLeaf("Muon_isLowPt")
        
        self.__min_quality = 0 if branch_old.find("HighPt") != -1 and branch_old.find("LowPt") != -1 else 1
        self.__max_quality = 2 
        if branch_old.find("Medium") != -1:  self.__max_quality = 1
        if branch_old.find("Tight") != -1:   self.__max_quality = 0
        
        
        self.__var_name = var_name
        self.__old_histo = DiagnosticHisto(
                                    name = "%s_%s"%(name_old_rel, var_name),
                                    axis_title = axis_title,
                                    bins = bins, bmin = bmin, bmax = bmax, 
                                    bin_width = bin_width, bdir = bdir, log_binning = log_binning)
        self.__new_histo = DiagnosticHisto(
                                    name = "%s_%s"%(name_new_rel, var_name),
                                    axis_title = axis_title,
                                    bins = bins, bmin = bmin, bmax = bmax, 
                                    bin_width = bin_width, bdir = bdir, log_binning = log_binning)
                

Member Function Documentation

◆ fill()

CheckAppliedSFs.ReleaseComparer.fill ( self )

Reimplemented in CheckAppliedSFs.SystematicComparer.

Definition at line 63 of file CheckAppliedSFs.py.

    def fill(self):
        if not self.pass_cut(): return
        self.__old_histo.fill(value = self.__old_branch.GetValue(), weight= self.get_old_weight())
        self.__new_histo.fill(value = self.__new_branch.GetValue(), weight= self.get_new_weight())

◆ finalize()

CheckAppliedSFs.ReleaseComparer.finalize ( self )

Definition at line 81 of file CheckAppliedSFs.py.

    def finalize(self):
        minimum = min(self.get_old_histo().min(), self.get_new_histo().min()) - 0.01
        maximum = max(self.get_old_histo().max(), self.get_new_histo().max()) + 0.01
        for H in [ self.get_old_histo(), self.get_new_histo()]:
            H.setMinimum(minimum)
            H.setMaximum(maximum)
            H.write()
               

◆ get_new_histo()

CheckAppliedSFs.ReleaseComparer.get_new_histo ( self )

Definition at line 69 of file CheckAppliedSFs.py.

69 def get_new_histo(self):

70 return self.__new_histo

◆ get_new_var()

CheckAppliedSFs.ReleaseComparer.get_new_var ( self )

Definition at line 73 of file CheckAppliedSFs.py.

73 def get_new_var(self):

74 return self.__new_branch

◆ get_new_weight()

CheckAppliedSFs.ReleaseComparer.get_new_weight ( self )

Definition at line 78 of file CheckAppliedSFs.py.

    def get_new_weight(self): 
        if isinstance(self.__new_weight, float): return self.__new_weight
        return self.__new_weight.GetValue()

◆ get_old_histo()

CheckAppliedSFs.ReleaseComparer.get_old_histo ( self )

Definition at line 67 of file CheckAppliedSFs.py.

67 def get_old_histo(self):

68 return self.__old_histo

◆ get_old_var()

CheckAppliedSFs.ReleaseComparer.get_old_var ( self )

Definition at line 71 of file CheckAppliedSFs.py.

71 def get_old_var(self):

72 return self.__old_branch

◆ get_old_weight()

CheckAppliedSFs.ReleaseComparer.get_old_weight ( self )

Definition at line 75 of file CheckAppliedSFs.py.

    def get_old_weight(self):
        if isinstance(self.__old_weight, float): return self.__old_weight
        return self.__old_weight.GetValue()

◆ name()

CheckAppliedSFs.ReleaseComparer.name ( self )

Definition at line 89 of file CheckAppliedSFs.py.

89 def name(self):

90 return self.__var_name

◆ pass_cut()

CheckAppliedSFs.ReleaseComparer.pass_cut ( self )

Definition at line 61 of file CheckAppliedSFs.py.

61 def pass_cut(self):

62 return self.__min_quality >= self.__quality_branch .GetValue() and self.__quality_branch.GetValue() <= self.__max_quality

Member Data Documentation

◆ __max_quality

int CheckAppliedSFs.ReleaseComparer.__max_quality = 2

private

Definition at line 44 of file CheckAppliedSFs.py.

◆ __min_quality

int CheckAppliedSFs.ReleaseComparer.__min_quality = -1 else 1

private

Definition at line 43 of file CheckAppliedSFs.py.

◆ __new_branch

CheckAppliedSFs.ReleaseComparer.__new_branch = test_tree.GetLeaf(branch_new)

private

Definition at line 25 of file CheckAppliedSFs.py.

◆ __new_histo

CheckAppliedSFs.ReleaseComparer.__new_histo

private

Initial value:

=  DiagnosticHisto(
                                    name = "%s_%s"%(name_new_rel, var_name),
                                    axis_title = axis_title,
                                    bins = bins, bmin = bmin, bmax = bmax, 
                                    bin_width = bin_width, bdir = bdir, log_binning = log_binning)

Definition at line 55 of file CheckAppliedSFs.py.

◆ __new_weight

CheckAppliedSFs.ReleaseComparer.__new_weight = 1. if not weight_new else test_tree.GetLeaf(weight_new)

private

Definition at line 33 of file CheckAppliedSFs.py.

◆ __old_branch

CheckAppliedSFs.ReleaseComparer.__old_branch = test_tree.GetLeaf(branch_old)

private

Direct access to the branch which are going to be compared.

Definition at line 24 of file CheckAppliedSFs.py.

◆ __old_histo

CheckAppliedSFs.ReleaseComparer.__old_histo

private

Initial value:

=  DiagnosticHisto(
                                    name = "%s_%s"%(name_old_rel, var_name),
                                    axis_title = axis_title,
                                    bins = bins, bmin = bmin, bmax = bmax, 
                                    bin_width = bin_width, bdir = bdir, log_binning = log_binning)

Definition at line 50 of file CheckAppliedSFs.py.

◆ __old_weight

CheckAppliedSFs.ReleaseComparer.__old_weight = 1. if not weight_old else test_tree.GetLeaf(weight_old)

private

Weights as a function of the muon kinematics.

Definition at line 32 of file CheckAppliedSFs.py.

◆ __quality_branch

CheckAppliedSFs.ReleaseComparer.__quality_branch = test_tree.GetLeaf("Muon_quality")

private

Definition at line 39 of file CheckAppliedSFs.py.

◆ __var_name

CheckAppliedSFs.ReleaseComparer.__var_name = var_name

private

Definition at line 49 of file CheckAppliedSFs.py.

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

CheckAppliedSFs.py

Public Types

Public Member Functions

Private Attributes

Detailed Description

Member Typedef Documentation

◆ result

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ fill()

◆ finalize()

◆ get_new_histo()

◆ get_new_var()

◆ get_new_weight()

◆ get_old_histo()

◆ get_old_var()

◆ get_old_weight()

◆ name()

◆ pass_cut()

Member Data Documentation

◆ __max_quality

◆ __min_quality

◆ __new_branch

◆ __new_histo

◆ __new_weight

◆ __old_branch

◆ __old_histo

◆ __old_weight

◆ __quality_branch

◆ __var_name

◆ init()