def test_solver_spep(self):
lens_model_list = ['SPEP']
lensModel = LensModel(lens_model_list)
solver = Solver4Point(lensModel)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.1
deltapix = 0.05
numPix = 150
gamma = 1.9
phi_G, q = 0.5, 0.8
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
kwargs_lens = [{'theta_E': 1., 'gamma': gamma, 'e1': e1, 'e2': e2, 'center_x': 0.1, 'center_y': -0.1}]
x_pos, y_pos = lensEquationSolver.findBrightImage(sourcePos_x, sourcePos_y, kwargs_lens, numImages=4, min_distance=deltapix, search_window=numPix*deltapix)
phi_G, q = 1.5, 0.9
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
kwargs_lens_init = [{'theta_E': 1.3, 'gamma': gamma, 'e1': e1, 'e2': e2, 'center_x': 0., 'center_y': 0}]
kwargs_lens_new, accuracy = solver.constraint_lensmodel(x_pos, y_pos, kwargs_lens_init)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_E'], kwargs_lens[0]['theta_E'], decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['e1'], kwargs_lens[0]['e1'], decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['e2'], kwargs_lens[0]['e2'], decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_x'], kwargs_lens[0]['center_x'], decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_y'], kwargs_lens[0]['center_y'], decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_E'], 1., decimal=3)
lensModel = LensModel(lens_model_list=lens_model_list)
x_source_new, y_source_new = lensModel.ray_shooting(x_pos, y_pos, kwargs_lens_new)
dist = np.sqrt((x_source_new - x_source_new[0]) ** 2 + (y_source_new - y_source_new[0]) ** 2)
print(dist)
assert np.max(dist) < 0.000001
def test_solver_simplified(self):
lens_model_list = ['SPEP', 'SHEAR_GAMMA_PSI']
lensModel = LensModel(lens_model_list)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.1
deltapix = 0.05
numPix = 150
gamma = 1.9
gamma_ext = 0.05
psi_ext = 0.4
#e1, e2 = param_util.phi_gamma_ellipticity(phi=psi_ext, gamma=gamma_ext)
kwargs_lens = [{'theta_E': 1., 'gamma': gamma, 'e1': 0.1, 'e2': -0.1, 'center_x': 0.1, 'center_y': -0.1},
{'gamma_ext': gamma_ext, 'psi_ext': psi_ext}]
x_pos, y_pos = lensEquationSolver.findBrightImage(sourcePos_x, sourcePos_y, kwargs_lens, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
e1_new, e2_new = param_util.phi_gamma_ellipticity(phi=0., gamma=gamma_ext+0.1)
kwargs_lens_init = [{'theta_E': 1.3, 'gamma': gamma, 'e1': 0., 'e2': 0., 'center_x': 0., 'center_y': 0},
{'gamma_ext': gamma_ext + 0.1, 'psi_ext': 0}]
solver = Solver4Point(lensModel, solver_type='PROFILE_SHEAR')
kwargs_lens_new, accuracy = solver.constraint_lensmodel(x_pos, y_pos, kwargs_lens_init)
assert accuracy < 10**(-10)
x_source, y_source = lensModel.ray_shooting(x_pos, y_pos, kwargs_lens_new)
x_source, y_source = np.mean(x_source), np.mean(y_source)
x_pos_new, y_pos_new = lensEquationSolver.findBrightImage(x_source, y_source, kwargs_lens_new, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, x_pos_new)
x_pos = np.sort(x_pos)
x_pos_new = np.sort(x_pos_new)
y_pos = np.sort(y_pos)
y_pos_new = np.sort(y_pos_new)
for i in range(len(x_pos)):
npt.assert_almost_equal(x_pos[i], x_pos_new[i], decimal=6)
npt.assert_almost_equal(y_pos[i], y_pos_new[i], decimal=6)
def test_solver_nfw(self):
lens_model_list = ['NFW_ELLIPSE', 'SIS']
lensModel = LensModel(lens_model_list)
solver = Solver4Point(lensModel)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.1
deltapix = 0.05
numPix = 150
Rs = 4.
phi_G, q = 0.5, 0.8
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
kwargs_lens = [{
'theta_Rs': 1.,
'Rs': Rs,
'e1': e1,
'e2': e2,
'center_x': 0.1,
'center_y': -0.1
}, {
'theta_E': 1,
'center_x': 0,
'center_y': 0
}]
x_pos, y_pos = lensEquationSolver.findBrightImage(
sourcePos_x,
sourcePos_y,
kwargs_lens,
numImages=4,
min_distance=deltapix,
search_window=numPix * deltapix)
phi_G, q = 1.5, 0.9
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
kwargs_lens_init = [{
'theta_Rs': 0.5,
'Rs': Rs,
'e1': e1,
'e2': e2,
'center_x': 0.,
'center_y': 0
}, kwargs_lens[1]]
kwargs_lens_new, accuracy = solver.constraint_lensmodel(
x_pos, y_pos, kwargs_lens_init)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_Rs'],
kwargs_lens[0]['theta_Rs'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['e1'],
kwargs_lens[0]['e1'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['e2'],
kwargs_lens[0]['e2'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_x'],
kwargs_lens[0]['center_x'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_y'],
kwargs_lens[0]['center_y'],
decimal=3)
def fit_lensmodel(self, x_image, y_image, lensModel, solver_type,
lens_model_params):
solver4Point = Solver4Point(lensModel=lensModel,
solver_type=solver_type)
kwargs_fit, acc = solver4Point.constraint_lensmodel(
x_pos=x_image,
y_pos=y_image,
kwargs_list=lens_model_params,
xtol=self.xtol)
return kwargs_fit
def __init__(self, solver_type, lensModel, num_images=0):
"""
:param solver_type: string, option for specific solver type
see detailed instruction of the Solver4Point and Solver2Point classes
:param lensModel: instance of a LensModel() class
:param num_images: int, number of images to be solved for
"""
self._num_images = num_images
self._lensModel = lensModel
if self._num_images == 4:
self._solver = Solver4Point(lensModel, solver_type=solver_type)
elif self. _num_images == 2:
self._solver = Solver2Point(lensModel, solver_type=solver_type)
else:
raise ValueError("%s number of images is not valid. Use 2 or 4!" % self._num_images)
def test_solver_profile_shear_2(self):
lens_model_list = ['SPEP', 'SHEAR']
lensModel = LensModel(lens_model_list)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.
sourcePos_y = 0.1
deltapix = 0.05
numPix = 150
gamma = 1.98
e1, e2 = -0.04, -0.01
kwargs_shear = {'e1': e1, 'e2': e2} # shear values to the source plane
kwargs_spemd = {'theta_E': 1.66, 'gamma': gamma, 'center_x': 0.0, 'center_y': 0.0, 'e1': 0.1,
'e2': 0.05} # parameters of the deflector lens model
kwargs_lens = [kwargs_spemd, kwargs_shear]
x_pos, y_pos = lensEquationSolver.findBrightImage(sourcePos_x, sourcePos_y, kwargs_lens, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, y_pos, 'test positions')
gamma_ext = np.sqrt(e1 ** 2 + e2 ** 2)
e1_init, e2_init = param_util.phi_gamma_ellipticity(gamma=gamma_ext, phi=-1.3)
kwargs_lens_init = [{'theta_E': 1.3, 'gamma': gamma, 'e1': 0, 'e2': 0, 'center_x': 0., 'center_y': 0},
{'e1': e1_init, 'e2': e2_init}]
solver = Solver4Point(lensModel, solver_type='PROFILE_SHEAR')
kwargs_lens_new, accuracy = solver.constraint_lensmodel(x_pos, y_pos, kwargs_lens_init)
assert accuracy < 10**(-10)
x_source, y_source = lensModel.ray_shooting(x_pos, y_pos, kwargs_lens_new)
x_source, y_source = np.mean(x_source), np.mean(y_source)
x_pos_new, y_pos_new = lensEquationSolver.findBrightImage(x_source, y_source, kwargs_lens_new, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, x_pos_new)
x_pos = np.sort(x_pos)
x_pos_new = np.sort(x_pos_new)
y_pos = np.sort(y_pos)
y_pos_new = np.sort(y_pos_new)
for i in range(len(x_pos)):
npt.assert_almost_equal(x_pos[i], x_pos_new[i], decimal=6)
npt.assert_almost_equal(y_pos[i], y_pos_new[i], decimal=6)
npt.assert_almost_equal(kwargs_lens_new[1]['e1'], kwargs_lens[1]['e1'], decimal=8)
npt.assert_almost_equal(kwargs_lens_new[1]['e2'], kwargs_lens[1]['e2'], decimal=8)
npt.assert_almost_equal(kwargs_lens_new[0]['e1'], kwargs_lens[0]['e1'], decimal=8)
npt.assert_almost_equal(kwargs_lens_new[0]['e2'], kwargs_lens[0]['e2'], decimal=8)
def test_solver_shapelets(self):
lens_model_list = ['SHAPELETS_CART', 'SPEP']
lensModel = LensModel(lens_model_list)
solver = Solver4Point(lensModel)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.
deltapix = 0.05
numPix = 150
coeffs = np.array([0, 0.1, 0.1, 0, 0, -0.1])
kwargs_lens = [{
'beta': 1.,
'coeffs': coeffs,
'center_x': 0.,
'center_y': 0.
}, {
'theta_E': 1.,
'gamma': 2,
'q': 0.8,
'phi_G': 0.5,
'center_x': 0,
'center_y': 0
}]
x_pos, y_pos = lensEquationSolver.findBrightImage(
sourcePos_x,
sourcePos_y,
kwargs_lens,
numImages=4,
min_distance=deltapix,
search_window=numPix * deltapix)
print(x_pos, y_pos)
kwargs_lens_init = [{
'beta': 1,
'coeffs': np.zeros_like(coeffs),
'center_x': 0.,
'center_y': 0
}, kwargs_lens[1]]
kwargs_lens_new, accuracy = solver.constraint_lensmodel(
x_pos, y_pos, kwargs_lens_init)
npt.assert_almost_equal(kwargs_lens_new[0]['beta'],
kwargs_lens[0]['beta'],
decimal=3)
coeffs_new = kwargs_lens_new[0]['coeffs']
for i in range(len(coeffs)):
npt.assert_almost_equal(coeffs_new[i], coeffs[i], decimal=3)
def __init__(self, solver_type, lensModel=None, num_images=0):
"""
:param solver_type:
:param lensModel:
:param num_images:
"""
self._solver_type = solver_type
self._lensModel = lensModel
self._num_images = num_images
if self._num_images == 4:
self.solver = Solver4Point(self._lensModel,
solver_type=self._solver_type)
elif self._num_images == 2:
self.solver = Solver2Point(self._lensModel,
solver_type=self._solver_type)
else:
raise ValueError("%s number of images is not valid. Use 2 or 4!" %
self._num_images)
def test_solver_multiplane(self):
lens_model_list = ['SPEP', 'SHEAR', 'SIS']
lensModel = LensModel(lens_model_list, z_source=1, lens_redshift_list=[0.5, 0.5, 0.3], multi_plane=True)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.01
sourcePos_y = -0.01
deltapix = 0.05
numPix = 150
gamma = 1.96
e1, e2 = 0.01, 0.01
kwargs_shear = {'e1': e1, 'e2': e2} # gamma_ext: shear strength, psi_ext: shear angel (in radian)
kwargs_spemd = {'theta_E': 1., 'gamma': gamma, 'center_x': 0, 'center_y': 0, 'e1': 0.2, 'e2': 0.03}
kwargs_sis = {'theta_E': .1, 'center_x': 1, 'center_y': 0}
kwargs_lens = [kwargs_spemd, kwargs_shear, kwargs_sis]
x_pos, y_pos = lensEquationSolver.findBrightImage(sourcePos_x, sourcePos_y, kwargs_lens, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, y_pos, 'test positions')
kwargs_lens_init = [{'theta_E': 1.3, 'gamma': gamma, 'e1': 0.1, 'e2': 0, 'center_x': 0., 'center_y': 0},
{'e1': e1, 'e2': e2}, {'theta_E': .1, 'center_x': 1, 'center_y': 0}]
solver = Solver4Point(lensModel, solver_type='PROFILE')
kwargs_lens_new, accuracy = solver.constraint_lensmodel(x_pos, y_pos, kwargs_lens_init)
print(kwargs_lens_new, 'kwargs_lens_new')
assert accuracy < 10**(-10)
x_source, y_source = lensModel.ray_shooting(x_pos, y_pos, kwargs_lens_new)
x_source, y_source = np.mean(x_source), np.mean(y_source)
x_pos_new, y_pos_new = lensEquationSolver.findBrightImage(x_source, y_source, kwargs_lens_new, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, x_pos_new)
x_pos = np.sort(x_pos)
x_pos_new = np.sort(x_pos_new)
y_pos = np.sort(y_pos)
y_pos_new = np.sort(y_pos_new)
for i in range(len(x_pos)):
npt.assert_almost_equal(x_pos[i], x_pos_new[i], decimal=6)
npt.assert_almost_equal(y_pos[i], y_pos_new[i], decimal=6)
npt.assert_almost_equal(kwargs_lens_new[1]['e1'], kwargs_lens[1]['e1'], decimal=8)
def test_solver_simplified_2(self):
lens_model_list = ['SPEP', 'SHEAR_GAMMA_PSI']
lensModel = LensModel(lens_model_list)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.1
deltapix = 0.05
numPix = 150
gamma = 1.96
e1, e2 = -0.01, -0.01
psi_ext, gamma_ext = param_util.ellipticity2phi_gamma(e1, e2)
kwargs_shear = {'gamma_ext': gamma_ext, 'psi_ext': psi_ext} # gamma_ext: shear strength, psi_ext: shear angel (in radian)
kwargs_spemd = {'theta_E': 1., 'gamma': gamma, 'center_x': 0, 'center_y': 0, 'e1': -0.2, 'e2': -0.03}
kwargs_lens = [kwargs_spemd, kwargs_shear]
x_pos, y_pos = lensEquationSolver.findBrightImage(sourcePos_x, sourcePos_y, kwargs_lens, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
kwargs_lens_init = [{'theta_E': 1.3, 'gamma': gamma, 'e1': 0, 'e2': 0, 'center_x': 0., 'center_y': 0},
{'gamma_ext': gamma_ext, 'psi_ext': psi_ext}]
solver = Solver4Point(lensModel, solver_type='PROFILE_SHEAR')
kwargs_lens_new, accuracy = solver.constraint_lensmodel(x_pos, y_pos, kwargs_lens_init)
assert accuracy < 10**(-10)
x_source, y_source = lensModel.ray_shooting(x_pos, y_pos, kwargs_lens_new)
x_source, y_source = np.mean(x_source), np.mean(y_source)
x_pos_new, y_pos_new = lensEquationSolver.findBrightImage(x_source, y_source, kwargs_lens_new, numImages=4,
min_distance=deltapix, search_window=numPix * deltapix)
print(x_pos, x_pos_new)
x_pos = np.sort(x_pos)
x_pos_new = np.sort(x_pos_new)
y_pos = np.sort(y_pos)
y_pos_new = np.sort(y_pos_new)
for i in range(len(x_pos)):
npt.assert_almost_equal(x_pos[i], x_pos_new[i], decimal=6)
npt.assert_almost_equal(y_pos[i], y_pos_new[i], decimal=6)
npt.assert_almost_equal(kwargs_lens_new[1]['psi_ext'], kwargs_lens[1]['psi_ext'], decimal=8)
npt.assert_almost_equal(kwargs_lens_new[1]['gamma_ext'], kwargs_lens[1]['gamma_ext'], decimal=8)
def test_decoupling(self):
lens_model_list = ['SPEP', 'SIS']
lensModel = LensModel(lens_model_list)
solver = Solver4Point(lensModel, decoupling=False)
solver_decoupled = Solver4Point(lensModel, decoupling=True)
lensEquationSolver = LensEquationSolver(lensModel)
sourcePos_x = 0.1
sourcePos_y = -0.1
deltapix = 0.05
numPix = 150
gamma = 1.9
kwargs_lens = [{
'theta_E': 1.,
'gamma': gamma,
'q': 0.8,
'phi_G': 0.5,
'center_x': 0.1,
'center_y': -0.1
}, {
'theta_E': 0.1,
'center_x': 0.5,
'center_y': 0
}]
x_pos, y_pos = lensEquationSolver.findBrightImage(
sourcePos_x,
sourcePos_y,
kwargs_lens,
numImages=4,
min_distance=deltapix,
search_window=numPix * deltapix)
kwargs_lens_init = [{
'theta_E': 1.3,
'gamma': gamma,
'q': 0.9,
'phi_G': 1.5,
'center_x': 0.,
'center_y': 0
}, {
'theta_E': 0.1,
'center_x': 0.5,
'center_y': 0
}]
kwargs_lens_new, accuracy = solver.constraint_lensmodel(
x_pos, y_pos, kwargs_lens_init)
kwargs_lens_new_2, accuracy = solver_decoupled.constraint_lensmodel(
x_pos, y_pos, kwargs_lens_init)
print(kwargs_lens_new_2)
print(kwargs_lens_new)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_E'],
kwargs_lens[0]['theta_E'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['q'],
kwargs_lens[0]['q'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['phi_G'],
kwargs_lens[0]['phi_G'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_x'],
kwargs_lens[0]['center_x'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_y'],
kwargs_lens[0]['center_y'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_E'],
kwargs_lens_new_2[0]['theta_E'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['q'],
kwargs_lens_new_2[0]['q'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['phi_G'],
kwargs_lens_new_2[0]['phi_G'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_x'],
kwargs_lens_new_2[0]['center_x'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['center_y'],
kwargs_lens_new_2[0]['center_y'],
decimal=3)
npt.assert_almost_equal(kwargs_lens_new[0]['theta_E'], 1., decimal=3)
lensModel = LensModel(lens_model_list=lens_model_list)
x_source_new, y_source_new = lensModel.ray_shooting(
x_pos, y_pos, kwargs_lens_new)
dist = np.sqrt((x_source_new - x_source_new[0])**2 +
(y_source_new - y_source_new[0])**2)
print(dist)
assert np.max(dist) < 0.000001
