def get_flux_tables(table, y_method, function, spectral_index):
table1 = table.copy()
lafferty_flux = compute_differential_flux_points('lafferty', y_method, table1,
function, spectral_index)
table2 = table1.copy()
log_flux = compute_differential_flux_points('log_center', y_method, table2,
function, spectral_index)
return lafferty_flux, log_flux
def get_flux_tables(table, y_method, function, spectral_index):
table1 = table.copy()
lafferty_flux = compute_differential_flux_points('lafferty', y_method,
table1, function,
spectral_index)
table2 = table1.copy()
log_flux = compute_differential_flux_points('log_center', y_method, table2,
function, spectral_index)
return lafferty_flux, log_flux
def compute_flux_error(gamma_true, gamma_reco, method):
# Let's assume a concrete true spectrum and energy bin.
# Note that the residuals computed below do *not* depend on
# these parameters.
energy_min, energy_max = 1, 10
energy_ref, diff_flux_ref = 1, 1
# Compute integral flux in the energy band assuming `gamma_true`
int_flux = power_law_integral_flux(diff_flux_ref, gamma_true, energy_ref,
energy_min, energy_max)
# Compute flux point
table = compute_differential_flux_points(method,
'power_law',
spectral_index=gamma_reco,
energy_min=energy_min,
energy_max=energy_max,
int_flux=int_flux)
# Compute relative error of the flux point
energy = table['ENERGY'].data
flux_reco = table['DIFF_FLUX'].data
flux_true = power_law_evaluate(energy,
diff_flux_ref * np.ones_like(energy),
np.array(gamma_true).reshape(energy.shape),
energy_ref * np.ones_like(energy))
flux_true = flux_true.reshape(gamma_true.shape)
flux_reco = flux_reco.reshape(gamma_true.shape)
flux_error = (flux_reco - flux_true) / flux_true
return flux_error
def compute_flux_error(gamma_true, gamma_reco, method):
# Let's assume a concrete true spectrum and energy bin.
# Note that the residuals computed below do *not* depend on
# these parameters.
energy_min, energy_max = 1, 10
energy_ref, diff_flux_ref = 1, 1
# Compute integral flux in the energy band assuming `gamma_true`
int_flux = power_law_integral_flux(diff_flux_ref, gamma_true,
energy_ref, energy_min, energy_max)
# Compute flux point
table = compute_differential_flux_points(method, 'power_law',
spectral_index=gamma_reco,
energy_min=energy_min, energy_max=energy_max,
int_flux=int_flux)
# Compute relative error of the flux point
energy = table['ENERGY'].data
flux_reco = table['DIFF_FLUX'].data
flux_true = power_law_evaluate(energy, diff_flux_ref * np.ones_like(energy),
np.array(gamma_true).reshape(energy.shape),
energy_ref * np.ones_like(energy))
flux_true = flux_true.reshape(gamma_true.shape)
flux_reco = flux_reco.reshape(gamma_true.shape)
flux_error = (flux_reco - flux_true) / flux_true
return flux_error