def plot_spectral_models(self):
for component in self.get_components(tags=['pwn', 'composite']):
fig, ax = plt.subplots()
table = component['table']
tag = component['tag']
vals = []
idx = 0
energies = Energy.equal_log_spacing(emin=0.02,
emax=100,
unit='TeV',
nbins=40)
for row in table:
idx += 1
if (idx < 100):
spec = LogParabola(
amplitude=row['spec_norm'] * u.Unit('MeV-1 s-1 cm-2'),
alpha=row['spec_alpha'],
reference=1 * u.TeV,
beta=row['spec_beta'],
)
fluxes = []
e2dnde = []
for energy in energies:
dnde = spec.evaluate(
energy=energy,
amplitude=row['spec_norm'] *
u.Unit('MeV-1 s-1 cm-2'),
alpha=row['spec_alpha'],
reference=1 * u.TeV,
beta=row['spec_beta'],
)
fluxes.append(dnde.value)
e2dnde.append(
((energy**2 * dnde).to('erg cm-2 s-1')).value)
ax.plot(energies.value,
e2dnde,
color='black',
alpha=0.2,
lw=2)
else:
break
ax.set_title('{} spectra'.format(component['tag']))
ax.loglog()
ax.set_xlabel('Energy (TeV)')
ax.set_ylabel('e2dnde (erg cm-2 s-1)')
ax.set_ylim(2e-18, 5e-10)
fig.tight_layout()
filename = 'ctadc_skymodel_gps_sources_spectra_{}.png'.format(
component['tag'])
log.info('Writing {}'.format(filename))
fig.savefig(filename)
plt.close(fig)
neb_model = LogParabola(amplitude=amplitude, reference=reference, alpha=alphapar, beta=beta) ###MAGIC HESSII
elif spectype == 'ExponentialCutoffPowerLaw':
neb_model = ExponentialCutoffPowerLaw(index=index, amplitude=amplitude, reference=reference, lambda_=lambda_) ## HESS
elif spectype == 'PowerLaw':
neb_model = PowerLaw(index=index, amplitude=amplitude, reference=reference) ### HEGRA
else:
raise ValueError('Spectra Model must be either "LogParabola", "PowerLaw", or "ExponentialCutoffPowerLaw"')
energy_array = np.linspace(emin.value, emax.value, 300) * u.TeV
flare_plus_neb_model = np.zeros(len(energy_array)) * u.Unit('cm-2 s-1 TeV-1')
for i in range(len(energy_array)):
flare_plus_neb_model.value[i] = (neb_model.evaluate(energy_array[i], amplitude=amplitude, reference=reference, alpha=alphapar, beta=beta).value + flare_model.evaluate(energy_array[i], index = flare_index, amplitude = flare_amplitude, reference = flare_reference,lambda_ = lambda_flare).value) * 1e11
#print flare_plus_neb_model
sum_model = TableModel(energy_array,flare_plus_neb_model,scale=1.0e-11)
# No EBL model needed
target = Target(name='Crab', model=sum_model)
#events = np.zeros(N_simul) * u.ct
cnts_specs = []
# Simulation
t_start = time.clock()
