def init3yr(**kwargs):
energy = kwargs.pop('energy', True)
decorr = kwargs.pop('decorr', False)
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(sinDec_bins=dec_bins, sinDec_range=[-1., 1.])
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetime3yr,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
def initMESEfollowup(**kwargs):
energy = kwargs.pop('energy', True)
arr_exp = cache.load(filename_pickle + "MESE/expfollowup.pickle")
arr_mc = cache.load(filename_pickle + "MESE/mc.pickle")
dec_bins = np.unique(
np.concatenate([
np.linspace(-1., -0.93, 4 + 1),
np.linspace(-0.93, hem, 12 + 1),
]))
energy_bins = [np.linspace(2., 8.5, 67 + 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(sinDec_bins=dec_bins, sinDec_range=[-1., 1.])
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetimeMESEfollowup,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
def init79_sirin(**kwargs):
energy = kwargs.pop('energy', True)
decorr = kwargs.pop('decorr', False)
if decorr:
arr_exp = cache.load(filename_pickle + "sirin_IC79/noMESE/exp.pickle")
arr_mc = cache.load(filename_pickle + "sirin_IC79/noMESE/mc.pickle")
else:
arr_exp = cache.load(filename_pickle + "sirin_IC79/exp.pickle")
arr_mc = cache.load(filename_pickle + "sirin_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)
else:
llh_model = ClassicLLH(sinDec_bins=dec_bins, sinDec_range=[-1., 1.])
#Why a different sindec binning? Curious...
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetime_IC79_sirin,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
def init86I(**kwargs):
energy = kwargs.pop('energy', True)
decorr = kwargs.pop('decorr', False)
if decorr:
arr_exp = cache.load(filename_pickle + "IC86I/noMESE/exp.pickle")
arr_mc = cache.load(filename_pickle + "IC86I/noMESE/mc.pickle")
else:
arr_exp = cache.load(filename_pickle + "IC86I/exp.pickle")
arr_mc = cache.load(filename_pickle + "IC86I/mc.pickle")
dec_bins = np.unique(
np.concatenate([
np.linspace(-1., -0.2, 10 + 1),
np.linspace(-0.2, hem, 4 + 1),
np.linspace(hem, 0.2, 5 + 1),
np.linspace(0.2, 1., 10),
]))
#check this later, BEN!
energy_bins = [np.linspace(1., 10., 67 + 1), dec_bins]
if energy:
llh_model = EnergyLLH(energy_bins, sinDec_bins=dec_bins)
else:
llh_model = ClassicLLH(sinDec_bins=dec_bins, sinDec_range=[-1., 1.])
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetime_IC86I,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
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 init59(energy=False, mode='all', **kwargs):
arr_exp = cache.load(filename_pickle+"sirin_IC59/exp.pickle")
arr_mc = cache.load(filename_pickle+"sirin_IC59/mc.pickle")
dec_bins = np.unique(np.concatenate([
np.linspace(-1., -0.95, 2 + 1),
np.linspace(-0.95, -0.25, 25 + 1),
np.linspace(-0.25, 0.05, 15 + 1),
np.linspace(0.05, 1., 10 + 1),
]))
dec_bins_logE = np.unique(np.concatenate([
np.linspace(-1., -0.05, 20 + 1),
np.linspace(0.05, 1., 10 + 1),
]))
energy_bins = [np.linspace(2., 9.5, 67 + 1), dec_bins_logE]
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.])
#Why a different sindec binning? Curious...
llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC59, llh_model=llh_model,
mode=mode, #hemispheres=dict(Full=[-np.inf, np.inf]),
#nsource=Nexp / 100.,
#nsource_bounds=(-Nexp / 2., Nexp / 2.)
# if not energy else (0., Nexp / 2.),
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
def init86I(energy=False, mode='all', **kwargs):
arr_exp = cache.load(filename_pickle+"sirin_IC86I/exp.pickle")
arr_mc = cache.load(filename_pickle+"sirin_IC86I/mc.pickle")
#This hem... not sure about what it means, but stefan uses it in load.py.
#Obviously it's for the hemisphere line - but why doesn't he use it for every year?
hem = np.sin(np.radians(-5.))
dec_bins = np.unique(np.concatenate([
np.linspace(-1., -0.2, 10 + 1),
np.linspace(-0.2, hem, 4 + 1),
np.linspace(hem, 0.2, 5 + 1),
np.linspace(0.2, 1., 10),
]))
#check this later, BEN!
energy_bins = [np.linspace(1., 10., 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.])
#Why a different sindec binning? Curious...
llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC86I, llh_model=llh_model,
mode=mode, #hemisphere=dict(Full=[-np.inf, np.inf]),
#nsource=Nexp / 100.,
#nsource_bounds=(-Nexp / 2., Nexp / 2.)
# if not energy else (0., Nexp / 2.),
seed=np.random.randint(2**32),
**kwargs)
return llh
def init40(energy=False, mode='all', **kwargs):
arr_exp = cache.load(filename_pickle+"sirin_IC40/exp.pickle")
arr_mc = cache.load(filename_pickle+"sirin_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(#["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.])
#Why a different sindec binning? Curious...
llh = StackingPointSourceLLH(arr_exp, arr_mc, livetime=livetime_IC40, llh_model=llh_model,
mode=mode, #hemispheres=dict(Full=[-np.inf, np.inf]),
#nsource=Nexp / 100.,
#nsource_bounds=(-Nexp / 2., Nexp / 2.)
# if not energy else (0., Nexp / 2.),
seed=np.random.randint(2**32),
**kwargs)
return llh
def init59(**kwargs):
energy = kwargs.pop('energy', True)
arr_exp = cache.load(filename_pickle + "IC59/exp.pickle")
arr_mc = cache.load(filename_pickle + "IC59/mc.pickle")
dec_bins = np.unique(
np.concatenate([
np.linspace(-1., -0.95, 2 + 1),
np.linspace(-0.95, -0.25, 25 + 1),
np.linspace(-0.25, 0.05, 15 + 1),
np.linspace(0.05, 1., 10 + 1),
]))
dec_bins_logE = np.unique(
np.concatenate([
np.linspace(-1., -0.05, 20 + 1),
np.linspace(0.05, 1., 10 + 1),
]))
energy_bins = [np.linspace(2., 9.5, 67 + 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.])
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetime_IC59,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
def init40(**kwargs):
energy = kwargs.pop('energy', True)
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.])
print("using classic llh")
llh = StackingPointSourceLLH(arr_exp,
arr_mc,
livetime=livetime_IC40,
llh_model=llh_model,
seed=np.random.randint(2**32),
**kwargs)
return llh
