def test_amplification_FSPL_for_Lyrae():
    tau = np.array([0.001])
    uo = np.array([0] * len(tau))
    rho = 0.01
    gamma = 0.5
    yoo_table = microlmodels.yoo_table
    magnification  = microlmagnification.amplification_FSPL(tau, uo, rho, gamma, yoo_table)

    assert np.allclose(magnification, np.array([216.97028636]))
def test_amplification_FSPL_two_points():
    tau = np.array([0.001, 0.002])
    uo = np.array([0] * len(tau))
    rho = 0.01
    gamma = 0.5
    yoo_table = microlmodels.yoo_table
    magnification = microlmagnification.amplification_FSPL(tau, uo, rho, gamma, yoo_table)

    assert np.allclose(magnification, np.array([216.97028636, 214.44622417]))
예제 #3
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def test_amplification_FSPL_two_points():
    tau = np.array([0.001, 0.002])
    uo = np.array([0] * len(tau))
    rho = 0.01
    gamma = 0.5
    yoo_table = microlmodels.yoo_table
    magnification, u = microlmagnification.amplification_FSPL(tau, uo, rho, gamma, yoo_table)

    assert np.allclose(magnification, np.array([216.97028636, 214.44622417]))
    assert np.allclose(u, np.array([0.001, 0.002]))