embedding_plot_bib.py File Reference

Namespaces
	embedding_plot_bib

Functions
def	embedding_plot_bib.plot_root_variable
def	embedding_plot_bib.plot_iso_variable
def	embedding_plot_bib.default_plot_root_variable
def	embedding_plot_bib.plot_VV_variable
def	embedding_plot_bib.ptflow_photon_histograms

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