def test_vampola_singleval(self):
"""sin^n model should have d_flux that integrates to input omniflux"""
omniflux = 3000
dnflux, alphas = em.vampolaPA(omniflux, order=2, alpha=self.PA)
d_sum = em.omniFromDirectionalFlux(dnflux, alphas, norm=False)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
dnflux, alphas = em.vampolaPA(omniflux, order=4, alpha=self.PA)
d_sum = em.omniFromDirectionalFlux(dnflux, alphas, norm=False)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
def test_vampola_singleval(self):
"""sin^n model should have d_flux that integrates to input omniflux"""
omniflux = 3000
dnflux, alphas = em.vampolaPA(omniflux, order=2, alpha=self.PA)
d_sum = em.omniFromDirectionalFlux(dnflux, alphas, norm=False)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
dnflux, alphas = em.vampolaPA(omniflux, order=4, alpha=self.PA)
d_sum = em.omniFromDirectionalFlux(dnflux, alphas, norm=False)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
def test_vampola_singleval(self):
"""sin^n model should have d_flux that integrates to omniflux divided by 4pi"""
omniflux = 3000
dnflux, alphas = em.vampolaPA(omniflux, order=2, alpha=self.PA)
d_sum = 4*np.pi*integ.simps(dnflux, np.deg2rad(alphas))
# np.testing.assert_allclose(d_sum, omniflux, atol=0.001)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
dnflux, alphas = em.vampolaPA(omniflux, order=4, alpha=self.PA)
d_sum = 4*np.pi*integ.simps(dnflux, np.deg2rad(alphas))
# np.testing.assert_allclose(d_sum, omniflux, atol=0.001)
np.testing.assert_almost_equal(d_sum, omniflux, decimal=3)
def test_vampola_multi_n(self):
"""sin^n model should have d_flux that integrates to omniflux divided by 4pi"""
omniflux = [3000, 6000]
dnflux, alphas = em.vampolaPA(omniflux, order=[2,4], alpha=self.PA)
for i in range(len(omniflux)):
d_sum = 4*np.pi*integ.simps(dnflux[:,i], np.deg2rad(alphas))
np.testing.assert_almost_equal(d_sum, omniflux[i])
def test_vampola_multi_n(self):
"""sin^n model should have d_flux that integrates to input omniflux"""
omniflux = [3000, 6000]
dnflux, alphas = em.vampolaPA(omniflux, order=[2,4], alpha=self.PA)
for i in range(len(omniflux)):
d_sum = em.omniFromDirectionalFlux(dnflux[:,i], alphas, norm=False)
np.testing.assert_almost_equal(d_sum, omniflux[i])
def test_vampola_multi_n(self):
"""sin^n model should have d_flux that integrates to input omniflux"""
omniflux = [3000, 6000]
dnflux, alphas = em.vampolaPA(omniflux, order=[2, 4], alpha=self.PA)
for i in range(len(omniflux)):
d_sum = em.omniFromDirectionalFlux(dnflux[:, i],
alphas,
norm=False)
np.testing.assert_almost_equal(d_sum, omniflux[i])
