#! /usr/bin/env python # author : S. Mandalia # s.p.mandalia@qmul.ac.uk # # date : November 26, 2018 """ HESE flavour ratio contour """ from __future__ import absolute_import, division import os import argparse from functools import partial import numpy as np from utils import gf as gf_utils from utils import llh as llh_utils from utils import misc as misc_utils from utils import plot as plot_utils from utils.enums import str_enum from utils.enums import DataType, Likelihood, ParamTag from utils.param import Param, ParamSet, get_paramsets def define_nuisance(): """Define the nuisance parameters.""" nuisance = [] tag = ParamTag.NUISANCE nuisance.extend([ Param(name='convNorm', value=1., seed=[0.5, 2. ], ranges=[0. , 50.], std=0.3, tag=tag), Param(name='promptNorm', value=0., seed=[0. , 6. ], ranges=[0. , 50.], std=0.05, tag=tag), Param(name='muonNorm', value=1., seed=[0.1, 2. ], ranges=[0. , 50.], std=0.1, tag=tag), Param(name='astroNorm', value=6.9, seed=[0.1, 10.], ranges=[0. , 50.], std=0.1, tag=tag), Param(name='astroDeltaGamma', value=2.5, seed=[1. , 3. ], ranges=[-5., 5. ], std=0.1, tag=tag) ]) return ParamSet(nuisance) def nuisance_argparse(parser): nuisance = define_nuisance() for parm in nuisance: parser.add_argument( '--'+parm.name, type=float, default=parm.value, help=parm.name+' to inject' ) def process_args(args): """Process the input args.""" if args.likelihood is not Likelihood.GOLEMFIT \ and args.likelihood is not Likelihood.GF_FREQ: raise AssertionError( 'Likelihood method {0} not supported for this ' 'script!\nChoose either GOLEMFIT or GF_FREQ'.format( str_enum(args.likelihood) ) ) def parse_args(args=None): """Parse command line arguments""" parser = argparse.ArgumentParser( description="BSM flavour ratio analysis", formatter_class=misc_utils.SortingHelpFormatter, ) parser.add_argument( '--injected-ratio', type=float, nargs=3, default=[1, 1, 1], help='Set the central value for the injected flavour ratio at IceCube' ) parser.add_argument( '--run-scan', type=misc_utils.parse_bool, default='True', help='Do the scan from scratch' ) parser.add_argument( '--seed', type=misc_utils.seed_parse, default='25', help='Set the random seed value' ) parser.add_argument( '--threads', type=misc_utils.thread_type, default='1', help='Set the number of threads to use (int or "max")' ) parser.add_argument( '--outfile', type=str, default='./untitled', help='Path to output results' ) try: gf_utils.gf_argparse(parser) except: pass llh_utils.likelihood_argparse(parser) nuisance_argparse(parser) misc_utils.remove_option(parser, 'sigma_ratio') if args is None: return parser.parse_args() else: return parser.parse_args(args.split()) def gen_identifier(args): f = '_{0}_{1}'.format(*map(str_enum, (args.likelihood, args.data))) if args.data is not DataType.REAL: ir1, ir2, ir3 = solve_ratio(args.injected_ratio) f += '_INJ_{1:03d}_{2:03d}_{3:03d}'.format(ir1, ir2, ir3) return f def main(): args = parse_args() process_args(args) misc_utils.print_args(args) if args.seed is not None: np.random.seed(args.seed) asimov_paramset, llh_paramset = get_paramsets(args, define_nuisance()) outfile = args.outfile + gen_identifier(args) print '== {0:<25} = {1}'.format('outfile', outfile) if args.run_scan: fitter = gf_utils.setup_fitter(args, asimov_paramset) print "DONE!" main.__doc__ = __doc__ if __name__ == '__main__': main()