embedding_plot_bib Namespace Reference

Functions
def	plot_root_variable
def	plot_iso_variable
def	default_plot_root_variable
def	plot_VV_variable
def	ptflow_photon_histograms

Variables
tuple	log = logging.getLogger(__name__)
tuple	parser
string	help = "Input directory [Default: %(default)s]"
tuple	args = parser.parse_args()
list	configs = []
	isocut = notargs.no_iso_cut
tuple	decay_mode = str(args.decaymode)
	web_dir = args.www
	output_dir = args.output_dir
	input_dir = args.input_dir
string	peakwidth = args.peakwidth+" GeV"
string	binarea = "[0.01,0.02]"
list	data_trackcleaned_cleaned_legend = [0.43,0.60,0.96,0.85]
list	data_trackcleaned_cleaned_noratio_legend = [0.43,0.75,0.94,0.90]
list	data_embedded_mirrored_cleaned_legend = [0.53,0.40,0.90,0.85]
list	data_embedded_mirrored_legend = [0.53,0.50,0.90,0.85]
list	data_embedded_mirrored_random_legend_upper_left = [0.21,0.55,0.60,0.90]
list	data_embedded_mirrored_random_legend_upper_right = [0.52,0.55,0.91,0.90]
list	data_embedded_mirrored_random_legend_lower_right = [0.52,0.20,0.91,0.55]
list	data_embedded_mirrored_random_legend_lower_left = [0.21,0.20,0.60,0.55]
tuple	selection_check_ZMass
	Vertex Refitting Check for Muon Embedding. More...
list	default_variables
list	iso_variables
list	tau_iso_variables = [x for x in iso_variables if x[-2:]=="_2"]
dictionary	plotting_dict = {}
list	variables_to_plot = ["pt_1"]
tuple	higgs_plotter = higgsplot.HiggsPlotter(list_of_config_dicts=configs, list_of_args_strings=[""],n_processes=args.n_processes)

Function Documentation

def embedding_plot_bib.default_plot_root_variable	(		channel = ['mt'],
			variable = 'pt_1'
	)

def embedding_plot_bib.plot_iso_variable	(		channel = ['mt'],
			variable = 'pt_1',
			x_bins = "30,
			decay_mode = "all",
			isocut = True
	)

def embedding_plot_bib.plot_root_variable	(		channel = ['mt'],
			variable = 'pt_1',
			x_bins = "30,
			decay_mode = "all",
			isocut = True,
			xlabel = ''
	)

def embedding_plot_bib.plot_VV_variable	(		channel = ['mt'],
			variable = 'pt_1',
			x_bins = "30,
			decay_mode = "all",
			isocut = True
	)

def embedding_plot_bib.ptflow_photon_histograms	(		binarea = "[0.01,
			peakwidth = "10 GeV"
	)

Variable Documentation

tuple embedding_plot_bib.args = parser.parse_args()

string embedding_plot_bib.binarea = "[0.01,0.02]"

list embedding_plot_bib.configs = []

list embedding_plot_bib.data_embedded_mirrored_cleaned_legend = [0.53,0.40,0.90,0.85]

list embedding_plot_bib.data_embedded_mirrored_legend = [0.53,0.50,0.90,0.85]

list embedding_plot_bib.data_embedded_mirrored_random_legend_lower_left = [0.21,0.20,0.60,0.55]

list embedding_plot_bib.data_embedded_mirrored_random_legend_lower_right = [0.52,0.20,0.91,0.55]

list embedding_plot_bib.data_embedded_mirrored_random_legend_upper_left = [0.21,0.55,0.60,0.90]

list embedding_plot_bib.data_embedded_mirrored_random_legend_upper_right = [0.52,0.55,0.91,0.90]

list embedding_plot_bib.data_trackcleaned_cleaned_legend = [0.43,0.60,0.96,0.85]

list embedding_plot_bib.data_trackcleaned_cleaned_noratio_legend = [0.43,0.75,0.94,0.90]

tuple embedding_plot_bib.decay_mode = str(args.decaymode)

list embedding_plot_bib.default_variables

Initial value:

= [
                        "integral",
                        "pt_1", "eta_1", "phi_1", "m_1", "iso_1", "mt_1",
                        "pt_2", "eta_2", "phi_2", "m_2", "iso_2", "mt_2",
                        "pt_sv", "eta_sv", "phi_sv", "m_sv", "m_vis", "ptvis",
                        "met", "metphi", "metcov00", "metcov01", "metcov10", "metcov11",
                        "mvamet", "mvametphi", "mvacov00", "mvacov01", "mvacov10", "mvacov11",
                        "pZetaMissVis", "pzetamiss", "pzetavis",
                        "jpt_1", "jeta_1", "jphi_1",
                        "jpt_2", "jeta_2", "jphi_2",
                        "njetspt30", "mjj", "jdeta", "njetingap20", "njetingap",
                        "trigweight_1", "trigweight_2", "puweight",
                        "npv", "npu", "rho","nbtag",'genMatchedLep1LV.fCoordinates.fPt','genMatchedLep2LV.fCoordinates.fPt','genMatchedLep2LV.fCoordinates.fEta','genMatchedLep1LV.fCoordinates.fEta','genMatchedLep2LV.fCoordinates.fPhi','genMatchedLep1LV.fCoordinates.fPhi','triggerWeight_1','identificationWeight_1','trigweight_1'
        ]

string embedding_plot_bib.help = "Input directory [Default: %(default)s]"

tuple embedding_plot_bib.higgs_plotter = higgsplot.HiggsPlotter(list_of_config_dicts=configs, list_of_args_strings=[""],n_processes=args.n_processes)

embedding_plot_bib.input_dir = args.input_dir

list embedding_plot_bib.iso_variables

embedding_plot_bib.isocut = notargs.no_iso_cut

tuple embedding_plot_bib.log = logging.getLogger(__name__)

embedding_plot_bib.output_dir = args.output_dir

tuple embedding_plot_bib.parser

Initial value:

= argparse.ArgumentParser(description="Make embedding plots.",
                                                                         parents=[logger.loggingParser])

string embedding_plot_bib.peakwidth = args.peakwidth+" GeV"

dictionary embedding_plot_bib.plotting_dict = {}

tuple embedding_plot_bib.selection_check_ZMass

Initial value:

= pltcl.single_plot(
                name = "selection_check_ZMass",
                title = "",
                x_expression = "ZMass",
                x_bins = "50,20,120",
                normalized_by_binwidth = False,
                x_label = "m(#mu#mu) [GeV]",
                y_label = "Events",
                wwwfolder = web_dir,
                legend =[0.3,0.3,0.65,0.7],
                plot_type = "absolute",
                subplot_denominator = 0,
                subplot_numerators = [1,2],
                y_subplot_lims = [0.85,1.15],
                y_subplot_label = "Ratio",
                plotlines = [DoubleMuonSelectedValidation, DoubleMuonEmbeddedValidation, DoubleMuonMirroredValidation]
        )

Vertex Refitting Check for Muon Embedding.

list embedding_plot_bib.tau_iso_variables = [x for x in iso_variables if x[-2:]=="_2"]

embedding_plot_bib.variables_to_plot = ["pt_1"]

embedding_plot_bib.web_dir = args.www