# Compute photon density spectrum from synchrotron emission assuming R=2.1 pc
Rpwn = 2.1 * u.pc
Esy = np.logspace(-7, 9, 100) * u.eV
Lsy = SYN.flux(Esy, distance=0 * u.cm) # use distance 0 to get luminosity
phn_sy = Lsy / (4 * np.pi * Rpwn**2 * c) * 2.24
IC = InverseCompton(ECBPL,
seed_photon_fields=['CMB',
['FIR', 70 * u.K, 0.5 * u.eV / u.cm**3],
['NIR', 5000 * u.K, 1 * u.eV / u.cm**3],
['SSC', Esy, phn_sy]],
Eemax=50 * u.PeV, Eemin=0.1 * u.GeV)
# Use plot_data from naima to plot the observed spectra
data = ascii.read('CrabNebula_spectrum.ecsv')
figure = naima.plot_data(data, e_unit=u.eV)
ax = figure.axes[0]
# Plot the computed model emission
energy = np.logspace(-7, 15, 100) * u.eV
ax.loglog(energy, IC.sed(energy, 2 * u.kpc) + SYN.sed(energy, 2 * u.kpc),
lw=3, c='k', label='Total')
for i, seed, ls in zip(
range(4), ['CMB', 'FIR', 'NIR', 'SSC'], ['--', '-.', ':', '-']):
ax.loglog(energy, IC.sed(energy, 2 * u.kpc, seed=seed),
lw=2, c=naima.plot.color_cycle[i + 1], label=seed, ls=ls)
ax.set_ylim(1e-12, 1e-7)
ax.legend(loc='upper right', frameon=False)
figure.tight_layout()
IC = InverseCompton(
ECBPL,
seed_photon_fields=[
"CMB",
["FIR", 70 * u.K, 0.5 * u.eV / u.cm**3],
["NIR", 5000 * u.K, 1 * u.eV / u.cm**3],
["SSC", Esy, phn_sy],
],
Eemax=50 * u.PeV,
Eemin=0.1 * u.GeV,
)
# Use plot_data from naima to plot the observed spectra
data = ascii.read("CrabNebula_spectrum.ecsv")
figure = naima.plot_data(data, e_unit=u.eV)
ax = figure.axes[0]
# Plot the computed model emission
energy = np.logspace(-7, 15, 100) * u.eV
ax.loglog(
energy,
IC.sed(energy, 2 * u.kpc) + SYN.sed(energy, 2 * u.kpc),
lw=3,
c="k",
label="Total",
)
for i, seed, ls in zip(range(4), ["CMB", "FIR", "NIR", "SSC"],
["--", "-.", ":", "-"]):
ax.loglog(
energy,
print('Energy cutoff: ', Ecut_flare, '+-', str(err_ep / 2.))
print('Total energy in electrons above 1 TeV: We = ', We.value,
' erg')
energy = np.logspace(-7, 15, 100) * u.eV
#synp = SYN_f.sed(energy, crab_distance).value
#print('Synchrotron maximum energy', energy[int(np.where(synp == np.max(synp))[0])].to('MeV'))
#print(energy[energy.value > 1e6].to('MeV'))
# In[7]:
if make_plot == True:
figure, ax = plt.subplots(1, 1, figsize=(10, 5))
data_steady = ascii.read('CrabNebula_spectrum.ecsv.txt')
naima.plot_data(data_steady, e_unit=u.eV, figure=figure)
naima.plot_data(data_flare, e_unit=u.eV, figure=figure)
ax.loglog(energy,
SYN_f.sed(energy, crab_distance),
lw=3,
c='r',
label='SYN')
ax.loglog(energy,
IC_f.sed(energy, crab_distance, seed='CMB') +
IC_f.sed(energy, crab_distance, seed='FIR') +
IC_f.sed(energy, crab_distance, seed='NIR') +
IC_f.sed(energy, crab_distance, seed='SSC'),
lw=3,
c='r',