MVAFlavio Namespace Reference

Functions
def	parser
	Argument parser. More...
def	create_input_trees
	Create input trees for BDT method, splitting signal and background events for each channel in even and odd event numbered. More...
def	write_root_file
	Function writing root files in paralell. More...
def	training
	Do the training/evaluaton for the splitted samples for each channel. More...
def	do_training
	Function for doing the training in parelell. More...
def	application
	Function for creating grid control for the application of the BDT score. More...
def	attach
	Function for attaching BDT score on root file. More...
def	show_results
	Use TMVA Gui to show trainings results. More...
def	main

Variables
int	version = 2
	Define constants. More...
string	sample_dir = "/net/scratch_cms3b/brunner/artus/AllSamples/merged/"
string	tree_name = "{channel}_nominal/ntuple"
string	input_file = "$CMSSW_BASE/src/plots/FlavioOutput/MVA_trees_{sample_type}{cut_label}_{channel}.root"
string	output_root = "$CMSSW_BASE/src/plots/FlavioOutput/output"
list	sig_list = ["zem"]
list	bkg_list = ["ztt", "zll", "ttj", "vv", "wj"]
list	parameter = ["deltaPhi_ll:= acos(cos(phi_1)*cos(phi_2) + sin(phi_1)*sin(phi_2))", "deltaPhi_l1met:= acos(cos(metphi)*cos(phi_1) + sin(metphi)*sin(phi_1))", "deltaPhi_l2met:= acos(cos(metphi)*cos(phi_2) + sin(metphi)*sin(phi_2))", "abs(d0_1)", "abs(d0_2)", "pt_1", "pt_2", "ptvis", "met", "mt_2"]
dictionary	user_def_parameter

Function Documentation

def MVAFlavio.application

(

)

Function for creating grid control for the application of the BDT score.

def MVAFlavio.attach

(

file_name

)

Function for attaching BDT score on root file.

def MVAFlavio.create_input_trees

(

)

Create input trees for BDT method, splitting signal and background events for each channel in even and odd event numbered.

def MVAFlavio.do_training

(

args

)

Function for doing the training in parelell.

def MVAFlavio.main

(

)

def MVAFlavio.parser

(

)

Argument parser.

def MVAFlavio.show_results

(

file_name

)

Use TMVA Gui to show trainings results.

def MVAFlavio.training

(

)

Do the training/evaluaton for the splitted samples for each channel.

def MVAFlavio.write_root_file

(

args

)

Function writing root files in paralell.

Variable Documentation

list MVAFlavio.bkg_list = ["ztt", "zll", "ttj", "vv", "wj"]

string MVAFlavio.input_file = "$CMSSW_BASE/src/plots/FlavioOutput/MVA_trees_{sample_type}{cut_label}_{channel}.root"

string MVAFlavio.output_root = "$CMSSW_BASE/src/plots/FlavioOutput/output"

list MVAFlavio.parameter = ["deltaPhi_ll:= acos(cos(phi_1)*cos(phi_2) + sin(phi_1)*sin(phi_2))", "deltaPhi_l1met:= acos(cos(metphi)*cos(phi_1) + sin(metphi)*sin(phi_1))", "deltaPhi_l2met:= acos(cos(metphi)*cos(phi_2) + sin(metphi)*sin(phi_2))", "abs(d0_1)", "abs(d0_2)", "pt_1", "pt_2", "ptvis", "met", "mt_2"]

string MVAFlavio.sample_dir = "/net/scratch_cms3b/brunner/artus/AllSamples/merged/"

list MVAFlavio.sig_list = ["zem"]

string MVAFlavio.tree_name = "{channel}_nominal/ntuple"

dictionary MVAFlavio.user_def_parameter

Initial value:

= {
                        0:      [lambda phi_1, phi_2: acos(cos(phi_1)*cos(phi_2) + sin(phi_1)*sin(phi_2)), ["phi_1", "phi_2"]],
                        1:      [lambda phi_1, phi_2: acos(cos(phi_1)*cos(phi_2) + sin(phi_1)*sin(phi_2)), ["metphi", "phi_1"]],
                        2:      [lambda phi_1, phi_2: acos(cos(phi_1)*cos(phi_2) + sin(phi_1)*sin(phi_2)), ["metphi", "phi_2"]],
                        3:      [lambda d0_1: abs(d0_1), ["d0_1"]],
                        4:      [lambda d0_2: abs(d0_2), ["d0_2"]],
}

int MVAFlavio.version = 2

Define constants.