def test_sis_ray_shooting(self): z_source = 1.5 z_lens = 0.5 lens_model_list = ['SIS'] redshift_list = [z_lens] lensModelMutli = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) lensModel = LensModel(lens_model_list=lens_model_list) kwargs_lens = [{'theta_E': 1., 'center_x': 0, 'center_y': 0}] beta_x, beta_y = lensModelMutli.ray_shooting(1., 0., kwargs_lens) beta_x_single, beta_y_single = lensModel.ray_shooting(1, 0., kwargs_lens) npt.assert_almost_equal(beta_x, beta_x_single, decimal=8) npt.assert_almost_equal(beta_y, beta_y_single, decimal=8) x, y = np.array([1.]), np.array([2.]) beta_x, beta_y = lensModelMutli.ray_shooting(x, y, kwargs_lens) beta_x_single, beta_y_single = lensModel.ray_shooting(x, y, kwargs_lens) npt.assert_almost_equal(beta_x, beta_x_single, decimal=8) npt.assert_almost_equal(beta_y, beta_y_single, decimal=8)
def test_ray_shooting_partial_2(self): z_source = 1.5 lens_model_list = ['SIS', 'SIS', 'SIS', 'SIS'] sis1 = {'theta_E': 0.4, 'center_x': 0, 'center_y': 0} sis2 = {'theta_E': .2, 'center_x': 0.5, 'center_y': 0} sis3 = {'theta_E': .1, 'center_x': 0, 'center_y': 0.5} sis4 = {'theta_E': 0.5, 'center_x': 0.1, 'center_y': 0.3} lens_model_list_macro = ['SIS'] kwargs_macro = [{'theta_E': 1, 'center_x': 0, 'center_y': 0}] zmacro = 0.5 z1 = 0.1 z2 = 0.5 z3 = 0.5 z4 = 0.7 redshift_list = [z1, z2, z3, z4] kwargs_lens = [sis1, sis2, sis3, sis4] kwargs_lens_full = kwargs_macro + kwargs_lens lensModel_full = MultiPlane(z_source=z_source, lens_model_list=lens_model_list_macro + lens_model_list, lens_redshift_list=[zmacro]+redshift_list) lensModel_macro = MultiPlane(z_source=z_source, lens_model_list=lens_model_list_macro, lens_redshift_list=[zmacro]) lensModel = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) theta_x, theta_y = 1., 1. x_subs, y_subs, alpha_x_subs, alpha_y_subs = lensModel.ray_shooting_partial(x=0, y=0, alpha_x=theta_x, alpha_y=theta_y, z_start=0, z_stop=zmacro, kwargs_lens=kwargs_lens) x_out, y_out, alpha_x_out, alpha_y_out = lensModel_macro.ray_shooting_partial(x_subs, y_subs, alpha_x_subs, alpha_y_subs, zmacro, zmacro, kwargs_macro, include_z_start=True) npt.assert_almost_equal(x_subs, x_out) npt.assert_almost_equal(y_subs, y_out) x_full, y_full, alpha_x_full, alpha_y_full = lensModel_full.ray_shooting_partial(0, 0, theta_x, theta_y, 0, zmacro, kwargs_lens_full) npt.assert_almost_equal(x_full, x_out) npt.assert_almost_equal(y_full, y_out) npt.assert_almost_equal(alpha_x_full, alpha_x_out) npt.assert_almost_equal(alpha_y_full, alpha_y_out) x_src, y_src, _, _ = lensModel_full.ray_shooting_partial(x=x_out, y=y_out, alpha_x=alpha_x_out, alpha_y=alpha_y_out, z_start=zmacro, z_stop=z_source, kwargs_lens=kwargs_lens_full) beta_x, beta_y = lensModel._co_moving2angle_source(x_src, y_src) beta_x_true, beta_y_true = lensModel_full.ray_shooting(theta_x, theta_y, kwargs_lens_full) npt.assert_almost_equal(beta_x, beta_x_true, decimal=8) npt.assert_almost_equal(beta_y, beta_y_true, decimal=8)
def test_random_ordering(self): z_source = 1.5 lens_model_list = ['SIS', 'SIS', 'SIS'] sis1 = {'theta_E': 1., 'center_x': 0, 'center_y': 0} sis2 = {'theta_E': .2, 'center_x': 0.5, 'center_y': 0} sis3 = {'theta_E': .1, 'center_x': 0, 'center_y': 0.5} z1 = 0.1 z2 = 0.5 z3 = 0.7 redshift_list = [z1, z2, z3] kwargs_lens = [sis1, sis2, sis3] lensModel = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) beta_x_1, beta_y_1 = lensModel.ray_shooting(1., 0., kwargs_lens) redshift_list = [z3, z2, z1] kwargs_lens = [sis3, sis2, sis1] lensModel = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) beta_x_2, beta_y_2 = lensModel.ray_shooting(1., 0., kwargs_lens) npt.assert_almost_equal(beta_x_1, beta_x_2, decimal=8) npt.assert_almost_equal(beta_y_1, beta_y_2, decimal=8)
def test_sis_ray_tracing(self): z_source = 1.5 lens_model_list = ['SIS'] redshift_list = [0.5] lensModelMutli = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) lensModel = LensModel(lens_model_list=lens_model_list) kwargs_lens = [{'theta_E': 1, 'center_x': 0, 'center_y': 0}] beta_x_simple, beta_y_simple = lensModel.ray_shooting(1, 0, kwargs_lens) beta_x_multi, beta_y_multi = lensModelMutli.ray_shooting(1, 0, kwargs_lens) npt.assert_almost_equal(beta_x_simple, beta_x_multi, decimal=10) npt.assert_almost_equal(beta_y_simple, beta_y_multi, decimal=10) npt.assert_almost_equal(beta_x_simple, 0, decimal=10) npt.assert_almost_equal(beta_y_simple, 0, decimal=10)
def test_pseudo_multiplane(self): z_source = 1.5 lens_model_list = ['SIS', 'SIS'] sis1 = {'theta_E': 1., 'center_x': 0, 'center_y': 0} sis2 = {'theta_E': .2, 'center_x': 0.5, 'center_y': 0} z1 = 0.5 z2 = 0.5 redshift_list = [z1, z2] kwargs_lens = [sis1, sis2] lensModelMulti = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) lensModelSingle = LensModel(lens_model_list=lens_model_list) beta_x, beta_y = lensModelMulti.ray_shooting(1, 1, kwargs_lens) beta_x_single, beta_y_single = lensModelSingle.ray_shooting(1, 1, kwargs_lens) npt.assert_almost_equal(beta_x, beta_x_single, decimal=10) npt.assert_almost_equal(beta_y, beta_y_single, decimal=10)
def test_foreground_shear(self): """ scenario: a shear field in the foreground of the main deflector is placed we compute the expected shear on the lens plain and effectively model the same system in a single plane configuration We check for consistency of the two approaches and whether the specific redshift of the foreground shear field has an impact on the arrival time surface :return: """ z_source = 1.5 z_lens = 0.5 z_shear = 0.2 x, y = np.array([1., 0.]), np.array([0., 2.]) from astropy.cosmology import default_cosmology from lenstronomy.Cosmo.background import Background cosmo = default_cosmology.get() cosmo_bkg = Background(cosmo) e1, e2 = 0.01, 0.01 # shear terms caused by z_shear on z_source lens_model_list = ['SIS', 'SHEAR'] redshift_list = [z_lens, z_shear] lensModelMutli = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) kwargs_lens_multi = [{ 'theta_E': 1, 'center_x': 0, 'center_y': 0 }, { 'e1': e1, 'e2': e2 }] alpha_x_multi, alpha_y_multi = lensModelMutli.alpha( x, y, kwargs_lens_multi) t_multi = lensModelMutli.arrival_time(x, y, kwargs_lens_multi) dt_multi = t_multi[0] - t_multi[1] physical_shear = cosmo_bkg.D_xy(0, z_source) / cosmo_bkg.D_xy( z_shear, z_source) foreground_factor = cosmo_bkg.D_xy(z_shear, z_lens) / cosmo_bkg.D_xy( 0, z_lens) * physical_shear print(foreground_factor) lens_model_simple_list = ['SIS', 'FOREGROUND_SHEAR', 'SHEAR'] kwargs_lens_single = [{ 'theta_E': 1, 'center_x': 0, 'center_y': 0 }, { 'e1': e1 * foreground_factor, 'e2': e2 * foreground_factor }, { 'e1': e1, 'e2': e2 }] lensModel = LensModel(lens_model_list=lens_model_simple_list) alpha_x_simple, alpha_y_simple = lensModel.alpha( x, y, kwargs_lens_single) npt.assert_almost_equal(alpha_x_simple, alpha_x_multi, decimal=8) npt.assert_almost_equal(alpha_y_simple, alpha_y_multi, decimal=8) ra_source, dec_source = lensModel.ray_shooting(x, y, kwargs_lens_single) ra_source_multi, dec_source_multi = lensModelMutli.ray_shooting( x, y, kwargs_lens_multi) npt.assert_almost_equal(ra_source, ra_source_multi, decimal=8) npt.assert_almost_equal(dec_source, dec_source_multi, decimal=8) fermat_pot = lensModel.fermat_potential(x, y, ra_source, dec_source, kwargs_lens_single) from lenstronomy.Cosmo.lens_cosmo import LensCosmo lensCosmo = LensCosmo(z_lens, z_source, cosmo=cosmo) Dt = lensCosmo.D_dt print(lensCosmo.D_dt) #t_simple = const.delay_arcsec2days(fermat_pot, Dt) t_simple = lensCosmo.time_delay_units(fermat_pot) dt_simple = t_simple[0] - t_simple[1] print(t_simple, t_multi) npt.assert_almost_equal(dt_simple / dt_multi, 1, decimal=2)
def test_ray_shooting_partial(self): z_source = 1.5 lens_model_list = ['SIS', 'SIS', 'SIS'] sis1 = {'theta_E': 1., 'center_x': 0, 'center_y': 0} sis2 = {'theta_E': .2, 'center_x': 0.5, 'center_y': 0} sis3 = {'theta_E': .1, 'center_x': 0, 'center_y': 0.5} z1 = 0.1 z2 = 0.5 z3 = 0.7 redshift_list = [z1, z2, z3] kwargs_lens = [sis1, sis2, sis3] lensModel = MultiPlane(z_source=z_source, lens_model_list=lens_model_list, lens_redshift_list=redshift_list) intermediate_index = 1 theta_x, theta_y = 1., 1. z_intermediate = lensModel._redshift_list[intermediate_index] x_out, y_out, alpha_x_out, alpha_y_out = lensModel.ray_shooting_partial( x=0, y=0, alpha_x=theta_x, alpha_y=theta_y, z_start=0, z_stop=z_intermediate, kwargs_lens=kwargs_lens) x_out_full_0 = x_out y_out_full_0 = y_out x_out, y_out, alpha_x_out, alpha_y_out = lensModel.ray_shooting_partial( x=x_out, y=y_out, alpha_x=alpha_x_out, alpha_y=alpha_y_out, z_start=z_intermediate, z_stop=z_source, kwargs_lens=kwargs_lens) x_out_full_0 = np.append(x_out_full_0, x_out) y_out_full_0 = np.append(y_out_full_0, y_out) x_out_full, y_out_full, redshifts, tzlist = lensModel.ray_shooting_partial_steps( x=0, y=0, alpha_x=theta_x, alpha_y=theta_y, z_start=0, z_stop=z_source, kwargs_lens=kwargs_lens) npt.assert_almost_equal(x_out_full_0[0], x_out_full[intermediate_index + 1]) npt.assert_almost_equal(x_out_full_0[-1], x_out_full[-1]) npt.assert_almost_equal(y_out_full_0[0], y_out_full[intermediate_index + 1]) npt.assert_almost_equal(y_out_full_0[-1], y_out_full[-1]) npt.assert_almost_equal(redshifts[intermediate_index + 1], lensModel._redshift_list[intermediate_index]) npt.assert_almost_equal(tzlist[0], lensModel._cosmo_bkg.T_xy(0, redshifts[0])) beta_x, beta_y = lensModel._co_moving2angle_source(x_out, y_out) beta_x_true, beta_y_true = lensModel.ray_shooting( theta_x, theta_y, kwargs_lens) npt.assert_almost_equal(beta_x, beta_x_true, decimal=8) npt.assert_almost_equal(beta_y, beta_y_true, decimal=8) x_out, y_out, alpha_x_out, alpha_y_out = lensModel.ray_shooting_partial( x=0, y=0, alpha_x=theta_x, alpha_y=theta_y, z_start=0, z_stop=z_source, kwargs_lens=kwargs_lens, keep_range=True) beta_x, beta_y = lensModel._co_moving2angle_source(x_out, y_out) npt.assert_almost_equal(beta_x, beta_x_true, decimal=8) npt.assert_almost_equal(beta_y, beta_y_true, decimal=8)