def normalize_flux_source(self, kwargs_options, kwargs_source, norm_factor_source):
"""
normalized the flux of the source
:param kwargs_options:
:param kwargs_source:
:param norm_factor_source:
:return:
"""
kwargs_source_updated = copy.deepcopy(kwargs_source)
sourceModel = LightModel(kwargs_options.get('source_light_model_list', ['NONE']))
kwargs_source_updated = sourceModel.re_normalize_flux(kwargs_source_updated, norm_factor_source)
return kwargs_source_updated
class TestLightModel(object):
"""
tests the source model routines
"""
def setup(self):
self.light_model_list = ['GAUSSIAN', 'MULTI_GAUSSIAN', 'SERSIC', 'SERSIC_ELLIPSE', 'DOUBLE_SERSIC',
'CORE_SERSIC', 'DOUBLE_CORE_SERSIC', 'BULDGE_DISK', 'SHAPELETS', 'HERNQUIST',
'HERNQUIST_ELLIPSE', 'PJAFFE', 'PJAFFE_ELLIPSE', 'UNIFORM', 'NONE'
]
self.kwargs = [
{'amp': 1., 'sigma_x': 1, 'sigma_y': 1., 'center_x': 0, 'center_y': 0}, # 'GAUSSIAN'
{'amp': [1., 2], 'sigma': [1, 3], 'center_x': 0, 'center_y': 0}, # 'MULTI_GAUSSIAN'
{'I0_sersic': 1, 'R_sersic': 0.5, 'n_sersic': 1, 'center_x': 0, 'center_y': 0}, # 'SERSIC'
{'I0_sersic': 1, 'R_sersic': 0.5, 'n_sersic': 1, 'q': 0.8, 'phi_G': 0.5, 'center_x': 0, 'center_y': 0}, # 'SERSIC_ELLIPSE'
{'I0_sersic': 1, 'R_sersic': 0.5, 'n_sersic': 1, 'q': 0.8, 'phi_G': 0.5, 'center_x': 0, 'center_y': 0,
'I0_2': 1, 'R_2': 0.05, 'n_2': 2, 'phi_G_2': 0, 'q_2': 1}, # 'DOUBLE_SERSIC'
{'I0_sersic': 1, 'R_sersic': 0.5, 'Re': 0.1, 'gamma': 2., 'n_sersic': 1, 'q': 0.8, 'phi_G': 0.5, 'center_x': 0, 'center_y': 0},
# 'CORE_SERSIC'
{'I0_sersic': 1, 'R_sersic': 0.5, 'Re': 0.1, 'gamma': 2., 'n_sersic': 1, 'q': 0.8, 'phi_G': 0.5,
'center_x': 0, 'center_y': 0, 'I0_2': 1, 'R_2': 0.05, 'n_2': 2, 'phi_G_2': 0, 'q_2': 1},
# 'DOUBLE_CORE_SERSIC'
{'I0_b': 1, 'R_b': 0.1, 'phi_G_b': 0, 'q_b': 1, 'I0_d': 2, 'R_d': 1, 'phi_G_d': 0.5, 'q_d': 0.7, 'center_x': 0, 'center_y': 0}, # BULDGE_DISK
{'amp': [1, 1, 1], 'beta': 0.5, 'n_max': 1, 'center_x': 0, 'center_y': 0}, # 'SHAPELETS'
{'sigma0': 1, 'Rs': 0.5, 'center_x': 0, 'center_y': 0}, # 'HERNQUIST'
{'sigma0': 1, 'Rs': 0.5, 'center_x': 0, 'center_y': 0, 'q': 0.8, 'phi_G': 0}, # 'HERNQUIST_ELLIPSE'
{'sigma0': 1, 'Ra': 1, 'Rs': 0.5, 'center_x': 0, 'center_y': 0}, # 'PJAFFE'
{'sigma0': 1, 'Ra': 1, 'Rs': 0.5, 'center_x': 0, 'center_y': 0, 'q': 0.8, 'phi_G': 0}, # 'PJAFFE_ELLIPSE'
{'mean': 1}, # 'UNIFORM'
{}]# 'NONE'
self.LightModel = LightModel(light_model_list=self.light_model_list)
def test_init(self):
model_list = ['CORE_SERSIC', 'DOUBLE_CORE_SERSIC', 'BULDGE_DISK', 'SHAPELETS', 'UNIFORM']
lightModel = LightModel(light_model_list=model_list)
assert len(lightModel.profile_type_list) == len(model_list)
def test_surface_brightness(self):
output = self.LightModel.surface_brightness(x=1, y=1, kwargs_list=self.kwargs)
npt.assert_almost_equal(output, 2.544428612985992, decimal=6)
def test_surface_brightness_array(self):
output = self.LightModel.surface_brightness(x=[1], y=[1], kwargs_list=self.kwargs)
npt.assert_almost_equal(output[0], 2.544428612985992, decimal=6)
def test_functions_split(self):
output = self.LightModel.functions_split(x=1., y=1., kwargs_list=self.kwargs)
assert output[0][0] == 0.058549831524319168
def test_re_normalize_flux(self):
kwargs_out = self.LightModel.re_normalize_flux(kwargs_list=self.kwargs, norm_factor=2)
assert kwargs_out[0]['amp'] == 2 * self.kwargs[0]['amp']
def normalize_flux(self, kwargs_options, kwargs_source, kwargs_lens_light, kwargs_ps, norm_factor_source=1, norm_factor_lens_light=1, norm_factor_point_source=1.):
"""
multiplies the surface brightness amplitudes with a norm_factor
aim: mimic different telescopes photon collection area or colours for different imaging bands
:param kwargs_source:
:param kwargs_lens_light:
:param norm_factor:
:return:
"""
lensLightModel = LightModel(kwargs_options.get('lens_light_model_list', ['NONE']))
sourceModel = LightModel(kwargs_options.get('source_light_model_list', ['NONE']))
lensModel = LensModel(lens_model_list=kwargs_options.get('lens_model_list', ['NONE']))
pointSource = PointSource(point_source_type_list=kwargs_options.get('point_source_list', ['NONE']),
lensModel=lensModel, fixed_magnification_list=kwargs_options.get('fixed_magnification_list', [False]),
additional_images_list=kwargs_options.get('additional_images_list', [False]))
kwargs_source_updated = copy.deepcopy(kwargs_source)
kwargs_lens_light_updated = copy.deepcopy(kwargs_lens_light)
kwargs_ps_updated = copy.deepcopy(kwargs_ps)
kwargs_source_updated = sourceModel.re_normalize_flux(kwargs_source_updated, norm_factor_source)
kwargs_lens_light_updated = lensLightModel.re_normalize_flux(kwargs_lens_light_updated, norm_factor_lens_light)
kwargs_ps_updated = pointSource.re_normalize_flux(kwargs_ps_updated, norm_factor_point_source)
return kwargs_source_updated, kwargs_lens_light_updated, kwargs_ps_updated
class TestLightModel(object):
"""
tests the source model routines
"""
def setup(self):
self.light_model_list = [
'GAUSSIAN', 'MULTI_GAUSSIAN', 'SERSIC', 'SERSIC_ELLIPSE',
'CORE_SERSIC', 'SHAPELETS', 'HERNQUIST', 'HERNQUIST_ELLIPSE',
'PJAFFE', 'PJAFFE_ELLIPSE', 'UNIFORM', 'POWER_LAW', 'NIE',
'INTERPOL', 'SHAPELETS_POLAR_EXP'
]
phi_G, q = 0.5, 0.8
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
self.kwargs = [
{
'amp': 1.,
'sigma_x': 1,
'sigma_y': 1.,
'center_x': 0,
'center_y': 0
}, # 'GAUSSIAN'
{
'amp': [1., 2],
'sigma': [1, 3],
'center_x': 0,
'center_y': 0
}, # 'MULTI_GAUSSIAN'
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'center_x': 0,
'center_y': 0
}, # 'SERSIC'
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
}, # 'SERSIC_ELLIPSE'
{
'amp': 1,
'R_sersic': 0.5,
'Re': 0.1,
'gamma': 2.,
'n_sersic': 1,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
},
# 'CORE_SERSIC'
{
'amp': [1, 1, 1],
'beta': 0.5,
'n_max': 1,
'center_x': 0,
'center_y': 0
}, # 'SHAPELETS'
{
'amp': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0
}, # 'HERNQUIST'
{
'amp': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0,
'e1': e1,
'e2': e2
}, # 'HERNQUIST_ELLIPSE'
{
'amp': 1,
'Ra': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0
}, # 'PJAFFE'
{
'amp': 1,
'Ra': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0,
'e1': e1,
'e2': e2
}, # 'PJAFFE_ELLIPSE'
{
'amp': 1
}, # 'UNIFORM'
{
'amp': 1.,
'gamma': 2.,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
}, # 'POWER_LAW'
{
'amp': .001,
'e1': 0,
'e2': 1.,
'center_x': 0,
'center_y': 0,
's_scale': 1.
}, # 'NIE'
{
'image': np.zeros((10, 10)),
'scale': 1,
'phi_G': 0,
'center_x': 0,
'center_y': 0
},
{
'amp': [1],
'n_max': 0,
'beta': 1,
'center_x': 0,
'center_y': 0
}
]
self.LightModel = LightModel(light_model_list=self.light_model_list)
def test_init(self):
model_list = [
'CORE_SERSIC', 'SHAPELETS', 'SHAPELETS_POLAR',
'SHAPELETS_POLAR_EXP', 'UNIFORM', 'CHAMELEON', 'DOUBLE_CHAMELEON',
'TRIPLE_CHAMELEON'
]
lightModel = LightModel(light_model_list=model_list)
assert len(lightModel.profile_type_list) == len(model_list)
def test_surface_brightness(self):
output = self.LightModel.surface_brightness(x=1,
y=1,
kwargs_list=self.kwargs)
npt.assert_almost_equal(output, 3.7065728131855824, decimal=6)
def test_surface_brightness_array(self):
output = self.LightModel.surface_brightness(x=[1],
y=[1],
kwargs_list=self.kwargs)
npt.assert_almost_equal(output[0], 3.7065728131855824, decimal=6)
def test_functions_split(self):
output = self.LightModel.functions_split(x=1.,
y=1.,
kwargs_list=self.kwargs)
npt.assert_almost_equal(output[0][0], 0.058549831524319168, decimal=6)
def test_re_normalize_flux(self):
kwargs_out = self.LightModel.re_normalize_flux(kwargs_list=self.kwargs,
norm_factor=2)
assert kwargs_out[0]['amp'] == 2 * self.kwargs[0]['amp']
def test_param_name_list(self):
param_name_list = self.LightModel.param_name_list()
assert len(self.light_model_list) == len(param_name_list)
def test_num_param_linear(self):
num = self.LightModel.num_param_linear(self.kwargs, list_return=False)
assert num == 18
num_list = self.LightModel.num_param_linear(self.kwargs,
list_return=True)
assert num_list[0] == 1
def test_update_linear(self):
response, n = self.LightModel.functions_split(1, 1, self.kwargs)
param = np.ones(n) * 2
kwargs_out, i = self.LightModel.update_linear(param,
i=0,
kwargs_list=self.kwargs)
assert i == n
assert kwargs_out[0]['amp'] == 2
def test_total_flux(self):
light_model_list = [
'SERSIC', 'SERSIC_ELLIPSE', 'INTERPOL', 'GAUSSIAN',
'GAUSSIAN_ELLIPSE', 'MULTI_GAUSSIAN', 'MULTI_GAUSSIAN_ELLIPSE'
]
kwargs_list = [
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'center_x': 0,
'center_y': 0
}, # 'SERSIC'
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'e1': 0.1,
'e2': 0,
'center_x': 0,
'center_y': 0
}, # 'SERSIC_ELLIPSE'
{
'image': np.ones((10, 10)),
'scale': 1,
'phi_G': 0,
'center_x': 0,
'center_y': 0
}, # 'INTERPOL'
{
'amp': 2,
'sigma_x': 2,
'sigma_y': 1,
'center_x': 0,
'center_y': 0
}, # 'GAUSSIAN'
{
'amp': 2,
'sigma': 2,
'e1': 0.1,
'e2': 0,
'center_x': 0,
'center_y': 0
}, # 'GAUSSIAN_ELLIPSE'
{
'amp': [1, 1],
'sigma': [2, 1],
'center_x': 0,
'center_y': 0
}, # 'MULTI_GAUSSIAN'
{
'amp': [1, 1],
'sigma': [2, 1],
'e1': 0.1,
'e2': 0,
'center_x': 0,
'center_y': 0
} # 'MULTI_GAUSSIAN_ELLIPSE'
]
lightModel = LightModel(light_model_list=light_model_list)
total_flux_list = lightModel.total_flux(kwargs_list)
assert total_flux_list[2] == 100
assert total_flux_list[3] == 2
assert total_flux_list[4] == 2
assert total_flux_list[5] == 2
assert total_flux_list[6] == 2
total_flux_list = lightModel.total_flux(kwargs_list, norm=True)
assert total_flux_list[2] == 100
assert total_flux_list[3] == 1
assert total_flux_list[4] == 1
assert total_flux_list[5] == 2
assert total_flux_list[6] == 2
class TestLightModel(object):
"""
tests the source model routines
"""
def setup(self):
self.light_model_list = [
'GAUSSIAN', 'MULTI_GAUSSIAN', 'SERSIC', 'SERSIC_ELLIPSE',
'CORE_SERSIC', 'SHAPELETS', 'HERNQUIST', 'HERNQUIST_ELLIPSE',
'PJAFFE', 'PJAFFE_ELLIPSE', 'UNIFORM', 'POWER_LAW', 'NIE'
]
phi_G, q = 0.5, 0.8
e1, e2 = param_util.phi_q2_ellipticity(phi_G, q)
self.kwargs = [
{
'amp': 1.,
'sigma_x': 1,
'sigma_y': 1.,
'center_x': 0,
'center_y': 0
}, # 'GAUSSIAN'
{
'amp': [1., 2],
'sigma': [1, 3],
'center_x': 0,
'center_y': 0
}, # 'MULTI_GAUSSIAN'
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'center_x': 0,
'center_y': 0
}, # 'SERSIC'
{
'amp': 1,
'R_sersic': 0.5,
'n_sersic': 1,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
}, # 'SERSIC_ELLIPSE'
{
'amp': 1,
'R_sersic': 0.5,
'Re': 0.1,
'gamma': 2.,
'n_sersic': 1,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
},
# 'CORE_SERSIC'
{
'amp': [1, 1, 1],
'beta': 0.5,
'n_max': 1,
'center_x': 0,
'center_y': 0
}, # 'SHAPELETS'
{
'amp': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0
}, # 'HERNQUIST'
{
'amp': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0,
'e1': e1,
'e2': e2
}, # 'HERNQUIST_ELLIPSE'
{
'amp': 1,
'Ra': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0
}, # 'PJAFFE'
{
'amp': 1,
'Ra': 1,
'Rs': 0.5,
'center_x': 0,
'center_y': 0,
'e1': e1,
'e2': e2
}, # 'PJAFFE_ELLIPSE'
{
'amp': 1
}, # 'UNIFORM'
{
'amp': 1.,
'gamma': 2.,
'e1': e1,
'e2': e2,
'center_x': 0,
'center_y': 0
}, # 'POWER_LAW'
{
'amp': .001,
'e1': 0,
'e2': 1.,
'center_x': 0,
'center_y': 0,
's_scale': 1.
}, # 'NIE'
]
self.LightModel = LightModel(light_model_list=self.light_model_list)
def test_init(self):
model_list = [
'CORE_SERSIC', 'SHAPELETS', 'UNIFORM', 'CHAMELEON',
'DOUBLE_CHAMELEON'
]
lightModel = LightModel(light_model_list=model_list)
assert len(lightModel.profile_type_list) == len(model_list)
def test_surface_brightness(self):
output = self.LightModel.surface_brightness(x=1,
y=1,
kwargs_list=self.kwargs)
npt.assert_almost_equal(output, 3.512593731652167, decimal=6)
def test_surface_brightness_array(self):
output = self.LightModel.surface_brightness(x=[1],
y=[1],
kwargs_list=self.kwargs)
npt.assert_almost_equal(output[0], 3.512593731652167, decimal=6)
def test_functions_split(self):
output = self.LightModel.functions_split(x=1.,
y=1.,
kwargs_list=self.kwargs)
npt.assert_almost_equal(output[0][0], 0.058549831524319168, decimal=6)
def test_re_normalize_flux(self):
kwargs_out = self.LightModel.re_normalize_flux(kwargs_list=self.kwargs,
norm_factor=2)
assert kwargs_out[0]['amp'] == 2 * self.kwargs[0]['amp']
def test_param_name_list(self):
param_name_list = self.LightModel.param_name_list()
assert len(self.light_model_list) == len(param_name_list)
def test_update_linear(self):
response, n = self.LightModel.functions_split(1, 1, self.kwargs)
param = np.ones(n) * 2
kwargs_out, i = self.LightModel.update_linear(param,
i=0,
kwargs_list=self.kwargs)
assert i == n
assert kwargs_out[0]['amp'] == 2
