scaleVariations_ZttOverZmumu Namespace Reference

Functions
def	ztt_stitching
def	scale_variation_mm
def	scale_variation_tt

Variables
tuple	parser = argparse.ArgumentParser(description='Script to calculate Z->tautau over Z->mumu ratios under mu_F and mu_R scale variations.')
tuple	args = parser.parse_args()
list	tautau_channels = ["mt","et","tt","em"]
list	categories = ["btag", "nobtag","inclusive"]
list	mtet_subcategories = ["loosemt","tight","inclusive"]
list	em_subcategories = ["highPzeta","mediumPzeta","lowPzeta","inclusive"]
list	scale_variation_weights = ["muR0p5_muF0p5_weight","muR1p0_muF0p5_weight","muR0p5_muF1p0_weight","muR1p0_muF2p0_weight","muR2p0_muF1p0_weight","muR2p0_muF2p0_weight","1"]
dictionary	selection = {}
dictionary	weights = {}
dictionary	mm_weights = {}
dictionary	ratios = {}
dictionary	mm_yields = {}
dictionary	tt_yields = {}
dictionary	mm_hists = {}
dictionary	tt_hists = {}
string	name = ""
string	weight = ""
tuple	selection_weights = open("./ztt_zmm_normalization/selection_weights.json","w")
	inputDYfiles = args.input_LO_DY
tuple	lo_dy_file_list = glob.glob(inputDYfiles)
	inputDYNLOfile = args.input_NLO_DY
tuple	pool = Pool(processes=7)
	Perform scale variations. More...
tuple	results = pool.map(scale_variation_mm,[(svw,weight) for svw in scale_variation_weights])
tuple	nlo_mm = r.TChain()
string	hist_name = "nlo_mm_hist_"
string	mm_weight = "_"
string	folder_string = "/"
tuple	nlo = r.TChain()
tuple	ratios_file = open("./ztt_zmm_normalization/ratios.json","w")
dictionary	intervals = {}
list	ratio_variations = [ratios[weight][r_key] for r_key in ratios[weight] if not r_key in ["1","nlo"]]
tuple	intervals_file = open("./ztt_zmm_normalization/intervals.json","w")

Function Documentation

def scaleVariations_ZttOverZmumu.scale_variation_mm

(

argument = ("1","1"

)

def scaleVariations_ZttOverZmumu.scale_variation_tt	(		argument = ("1","1",
			folder_string
	)

def scaleVariations_ZttOverZmumu.ztt_stitching

(

)

Variable Documentation

tuple scaleVariations_ZttOverZmumu.args = parser.parse_args()

list scaleVariations_ZttOverZmumu.categories = ["btag", "nobtag","inclusive"]

list scaleVariations_ZttOverZmumu.em_subcategories = ["highPzeta","mediumPzeta","lowPzeta","inclusive"]

string scaleVariations_ZttOverZmumu.folder_string = "/"

string scaleVariations_ZttOverZmumu.hist_name = "nlo_mm_hist_"

scaleVariations_ZttOverZmumu.inputDYfiles = args.input_LO_DY

scaleVariations_ZttOverZmumu.inputDYNLOfile = args.input_NLO_DY

dictionary scaleVariations_ZttOverZmumu.intervals = {}

tuple scaleVariations_ZttOverZmumu.intervals_file = open("./ztt_zmm_normalization/intervals.json","w")

tuple scaleVariations_ZttOverZmumu.lo_dy_file_list = glob.glob(inputDYfiles)

dictionary scaleVariations_ZttOverZmumu.mm_hists = {}

string scaleVariations_ZttOverZmumu.mm_weight = "_"

dictionary scaleVariations_ZttOverZmumu.mm_weights = {}

dictionary scaleVariations_ZttOverZmumu.mm_yields = {}

list scaleVariations_ZttOverZmumu.mtet_subcategories = ["loosemt","tight","inclusive"]

string scaleVariations_ZttOverZmumu.name = ""

tuple scaleVariations_ZttOverZmumu.nlo = r.TChain()

tuple scaleVariations_ZttOverZmumu.nlo_mm = r.TChain()

tuple scaleVariations_ZttOverZmumu.parser = argparse.ArgumentParser(description='Script to calculate Z->tautau over Z->mumu ratios under mu_F and mu_R scale variations.')

tuple scaleVariations_ZttOverZmumu.pool = Pool(processes=7)

Perform scale variations.

list scaleVariations_ZttOverZmumu.ratio_variations = [ratios[weight][r_key] for r_key in ratios[weight] if not r_key in ["1","nlo"]]

dictionary scaleVariations_ZttOverZmumu.ratios = {}

tuple scaleVariations_ZttOverZmumu.ratios_file = open("./ztt_zmm_normalization/ratios.json","w")

tuple scaleVariations_ZttOverZmumu.results = pool.map(scale_variation_mm,[(svw,weight) for svw in scale_variation_weights])

list scaleVariations_ZttOverZmumu.scale_variation_weights = ["muR0p5_muF0p5_weight","muR1p0_muF0p5_weight","muR0p5_muF1p0_weight","muR1p0_muF2p0_weight","muR2p0_muF1p0_weight","muR2p0_muF2p0_weight","1"]

dictionary scaleVariations_ZttOverZmumu.selection = {}

tuple scaleVariations_ZttOverZmumu.selection_weights = open("./ztt_zmm_normalization/selection_weights.json","w")

list scaleVariations_ZttOverZmumu.tautau_channels = ["mt","et","tt","em"]

dictionary scaleVariations_ZttOverZmumu.tt_hists = {}

dictionary scaleVariations_ZttOverZmumu.tt_yields = {}

string scaleVariations_ZttOverZmumu.weight = ""

dictionary scaleVariations_ZttOverZmumu.weights = {}