cutOptimizer.py File Reference

Classes
class	cutOptimizer.CutOptimizer

Namespaces
	cutOptimizer

Functions
def	cutOptimizer.make_Histogram
def	cutOptimizer.optimize
def	cutOptimizer.test_function

Variables
tuple	cutOptimizer.log = logging.getLogger(__name__)
tuple	cutOptimizer.parser
string	cutOptimizer.help = "Input directory."
list	cutOptimizer.default = ["ztt", "zll", "zl", "zj", "ttj", "vv", "wj", "qcd", "data"]
list	cutOptimizer.choices = ["ztt", "zll", "zl", "zj", "ttj", "vv", "wj", "qcd", "ff", "ggh", "qqh", "bbh", "vh", "htt", "data"]
tuple	cutOptimizer.args = parser.parse_args()
list	cutOptimizer.list_of_samples = [getattr(samples.Samples, sample) for sample in args.samples]
tuple	cutOptimizer.sample_settings = samples.Samples()
list	cutOptimizer.bkg_samples = [sample for sample in args.samples if sample not in ["data", "htt", "bbh"]]
list	cutOptimizer.sig_samples_raw = [sample for sample in args.samples if sample in ["htt", "bbh"]]
list	cutOptimizer.sig_samples = []
string	cutOptimizer.scale_str = "_%i"
tuple	cutOptimizer.binnings_settings = binnings.BinningsDict()
	cutOptimizer.category_string = None
tuple	cutOptimizer.config
list	cutOptimizer.x_bins = [x for x in range(int(float(args.x_range[0])*100),int(float(args.x_range[1])*100)+1, int((float(args.x_range[1])-float(args.x_range[0]))*4))]
list	cutOptimizer.y_bins = []
list	cutOptimizer.z_bins = []
list	cutOptimizer.variables = [args.x_quantity]
list	cutOptimizer.current_cuts = []
int	cutOptimizer.current_max = 0
list	cutOptimizer.real_values = []
list	cutOptimizer.b_max_index = current_cuts[0]
list	cutOptimizer.b_min = x_bins[b_max_index-3]
list	cutOptimizer.b_max = x_bins[b_max_index+3]
tuple	cutOptimizer.step = (b_max-b_min)
tuple	cutOptimizer.tfile = ROOT.TFile(os.path.expandvars(os.path.join(args.output_dir, "CutOptimizerStorage.root")), "READ")
list	cutOptimizer.hist_list = [tfile.Get(name) for name in bkg_samples]
tuple	cutOptimizer.htt = tfile.Get(sig_samples[0])
tuple	cutOptimizer.bkg_hist = hist_list.pop(0)
tuple	cutOptimizer.opt_test = CutOptimizer(variables, [htt,bkg_hist])