correlation_SampleProducer Namespace Reference

Functions
def	calculate_partial_correlation

Variables
tuple	log = logging.getLogger(__name__)
tuple	parser
string	help = "specify if you already produced reduced files and want to overwrite them. [Default: %(default)s]"
list	default = ["ggh", "qqh", "vh", "ztt", "zll", "ttj", "vv", "wj", "data"]
list	choices = ["ggh", "qqh", "vh", "ztt", "zll", "ttj", "vv", "wj", "data"]
tuple	args = parser.parse_args()
list	plot_configs = []
tuple	output_dir_path = os.path.join(os.path.expandvars(args.output_dir), str(dt.utcnow().strftime("%Y_%m_%d_%H-%M"))+"_%s"%args.filename)
string	root_input_dir = ""
	skip_classic_input = False
string	storage_name_extension = ""
	prepare_samples = True
	overwrite_samples = args.overwrite_samples
tuple	sample_settings = samples.Samples()
string	category_string = "catHttMSSM13TeV"
list	list_of_samples = [getattr(samples.Samples, requested_sample)]
tuple	config
list	parsed_parameters = []
dictionary	bdt_file_dict = {}
tuple	name = full_name.replace(".root", "")
int	count = 0
tuple	folder_and_name = os.path.join(folder, name)
tuple	container = name.split("_")
tuple	infile = ROOT.TFile(os.path.join(folder, file_list[0]), "READ")
tuple	intree = infile.Get("TestTree")
tuple	branch_name = branch.GetName()

Function Documentation

def correlation_SampleProducer.calculate_partial_correlation

(

config

)

Variable Documentation

tuple correlation_SampleProducer.args = parser.parse_args()

dictionary correlation_SampleProducer.bdt_file_dict = {}

tuple correlation_SampleProducer.branch_name = branch.GetName()

string correlation_SampleProducer.category_string = "catHttMSSM13TeV"

list correlation_SampleProducer.choices = ["ggh", "qqh", "vh", "ztt", "zll", "ttj", "vv", "wj", "data"]

dictionary correlation_SampleProducer.config

Initial value:

= sample_settings.get_config(
                                                        samples=list_of_samples,
                                                        channel=channel,
                                                        category=category_string,
                                                        higgs_masses=args.higgs_masses,
                                                        normalise_signal_to_one_pb=False,
                                                        ztt_from_mc=False,
                                                        weight=args.weight,
                                                        exclude_cuts=args.exclude_cuts,
                                                        stack_signal=False,
                                                        lumi = args.lumi*1000,
                                                        scale_signal=1.0,
                                                        mssm=args.mssm
                                                        )

tuple correlation_SampleProducer.container = name.split("_")

int correlation_SampleProducer.count = 0

list correlation_SampleProducer.default = ["ggh", "qqh", "vh", "ztt", "zll", "ttj", "vv", "wj", "data"]

tuple correlation_SampleProducer.folder_and_name = os.path.join(folder, name)

string correlation_SampleProducer.help = "specify if you already produced reduced files and want to overwrite them. [Default: %(default)s]"

tuple correlation_SampleProducer.infile = ROOT.TFile(os.path.join(folder, file_list[0]), "READ")

tuple correlation_SampleProducer.intree = infile.Get("TestTree")

list correlation_SampleProducer.list_of_samples = [getattr(samples.Samples, requested_sample)]

tuple correlation_SampleProducer.log = logging.getLogger(__name__)

list correlation_SampleProducer.name = full_name.replace(".root", "")

correlation_SampleProducer.output_dir_path = os.path.join(os.path.expandvars(args.output_dir), str(dt.utcnow().strftime("%Y_%m_%d_%H-%M"))+"_%s"%args.filename)

correlation_SampleProducer.overwrite_samples = args.overwrite_samples

list correlation_SampleProducer.parsed_parameters = []

tuple correlation_SampleProducer.parser

Initial value:

= argparse.ArgumentParser(description="Produce reduced samples and calculate correlations",
                                                                         parents=[logger.loggingParser])

list correlation_SampleProducer.plot_configs = []

correlation_SampleProducer.prepare_samples = True

tuple correlation_SampleProducer.root_input_dir = ""

tuple correlation_SampleProducer.sample_settings = samples.Samples()

correlation_SampleProducer.skip_classic_input = False

tuple correlation_SampleProducer.storage_name_extension = ""