def init79(energy=False, stacking=True, decorr=False, mode='all', **kwargs): if decorr: arr_exp = cache.load(filename_pickle + "IC79/noMESE/exp.pickle") arr_mc = cache.load(filename_pickle + "IC79/noMESE/mc.pickle") else: arr_exp = cache.load(filename_pickle + "IC79/exp.pickle") arr_mc = cache.load(filename_pickle + "IC79/mc.pickle") dec_bins = np.unique( np.concatenate([ np.linspace(-1., -0.75, 10 + 1), np.linspace(-0.75, 0.0, 15 + 1), np.linspace(0.0, 1., 20 + 1), ])) energy_bins = [np.linspace(2., 9., 67 + 1), dec_bins] if energy: llh_model = EnergyLLH(energy_bins, sinDec_bins=dec_bins) #llh_model = EnergyLLH(sinDec_bins=dec_bins(50),#min(50, Nexp // 50), # sinDec_range=[-1., 1.], # logE_bins=min(50, Nexp // 50), #energybins(50) # logE_range=[[0.9 * min(arr_exp["logE"].min(), # arr_mc["logE"].min()), # 1.1 * max(arr_exp["logE"].max(), # arr_mc["logE"].max())], # [-1., 1.]]) else: llh_model = ClassicLLH( #["logE"], min(50, Nexp // 50), #twodim_range=[0.9 * arr_mc["logE"].min(), # 1.1 * arr_mc["logE"].max()], sinDec_bins=dec_bins, sinDec_range=[-1., 1.]) if stacking: llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC79, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) else: llh = PointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC79, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) return llh
def init40(energy=False, stacking=True, mode='all', nopull=False, **kwargs): if nopull: arr_exp = cache.load(filename_pickle + "nopull/sirin_IC40/exp.pickle") arr_mc = cache.load(filename_pickle + "nopull/sirin_IC40/mc.pickle") else: arr_exp = cache.load(filename_pickle + "IC40/exp.pickle") arr_mc = cache.load(filename_pickle + "IC40/mc.pickle") dec_bins = np.unique( np.concatenate([ np.linspace(-1., -0.25, 10 + 1), np.linspace(-0.25, 0.0, 5 + 1), np.linspace(0.0, 1., 10 + 1), ])) dec_bins_logE = np.unique( np.concatenate([ np.linspace(-1., -0.25, 10 + 1), np.linspace(-0.25, 0.0, 10 + 1), np.linspace(0.0, 1., 10 + 1), ])) #These binnings are done, year specifically, in load.py from stefan. energy_bins = [np.linspace(2., 9., 75 + 1), dec_bins_logE] if energy: llh_model = EnergyLLH(energy_bins, sinDec_bins=dec_bins) else: llh_model = ClassicLLH(sinDec_bins=dec_bins, sinDec_range=[-1., 1.]) if stacking: llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC40, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) else: llh = PointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC40, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) return llh
def initMESE3yr(energy=False, stacking=True, mode='all', **kwargs): arr_exp = cache.load(filename_pickle + "MESE/exp3yr.pickle") arr_mc = cache.load(filename_pickle + "MESE/mc.pickle") dec_bins = np.unique( np.concatenate([ np.linspace(-1., -0.92, 3 + 1), np.linspace(-0.92, hem, 10 + 1), ])) energy_bins = [ np.linspace(2., 8.5, 40 + 1), np.linspace(-1., hem, 4 + 1), ] arr_mc = arr_mc[arr_mc["logE"] > 1.] if energy: llh_model = EnergyLLH(energy_bins, sinDec_bins=dec_bins) else: llh_model = ClassicLLH( #["logE"], min(50, Nexp // 50), #twodim_range=[0.9 * arr_mc["logE"].min(), # 1.1 * arr_mc["logE"].max()], sinDec_bins=dec_bins, sinDec_range=[-1., 1.]) if stacking: llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetimeMESE3yr, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) else: llh = PointSourceLLH(arr_exp, arr_mc, livetime=livetimeMESE3yr, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) return llh
def init3yr(energy=False, stacking=True, decorr=False, mode='all', **kwargs): if decorr: arr_exp = cache.load(filename_pickle + "epinat_3yr/noMESE/exp.pickle") arr_mc = cache.load(filename_pickle + "epinat_3yr/noMESE/mc.pickle") else: arr_exp = cache.load(filename_pickle + "epinat_3yr/exp.pickle") arr_mc = cache.load(filename_pickle + "epinat_3yr/mc.pickle") dec_bins = np.unique( np.concatenate([ np.linspace(-1., -0.93, 4 + 1), np.linspace(-0.93, -0.3, 10 + 1), np.linspace(-0.3, 0.05, 9 + 1), np.linspace(0.05, 1., 18 + 1), ])) energy_bins = [np.linspace(1., 9.5, 50 + 1), dec_bins] if energy: llh_model = EnergyLLH(energy_bins, sinDec_bins=dec_bins) else: llh_model = ClassicLLH( #["logE"], min(50, Nexp // 50), #twodim_range=[0.9 * arr_mc["logE"].min(), # 1.1 * arr_mc["logE"].max()], sinDec_bins=dec_bins, sinDec_range=[-1., 1.]) if stacking: llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime3yr, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) else: llh = PointSourceLLH(arr_exp, arr_mc, livetime=livetime3yr, llh_model=llh_model, mode=mode, seed=np.random.randint(2**32), **kwargs) return llh