def __init__(self, lens_model_list, kwargs_lens, xpos, ypos,
constrain_params):
assert lens_model_list[0] in ['PEMD', 'SPEP', 'SPEMD']
assert lens_model_list[1] == 'SHEAR'
assert constrain_params is not None
assert 'shear' in constrain_params.keys()
self._Ntovary = 2
self._k_start = 2
self._kwargs_lens = kwargs_lens
self._theta_E_start = approx_theta_E(xpos, ypos)
self._tovary_indicies = [0, 1]
self.param_names = [[
'theta_E', 'center_x', 'center_y', 'e1', 'e2', 'gamma'
], ['shear_magnitude', 'shear_PA']]
self.fixed_names = [['gamma'], ['shear_magnitude']]
self.fixed_values = [{
'gamma': kwargs_lens[0]['gamma']
}, {
'shear_magnitude': constrain_params['shear']
}]
self.params_to_vary = [
'theta_E', 'center_x', 'center_y', 'e1', 'e2', 'shear_theta'
]
self._constrain_params = constrain_params
def test_estimate_theta_E():
x = np.array([-0.45328229, 0.57461556, 0.53757501, -0.42312438])
y = np.array([0.69582971, -0.51226356, 0.37577509, -0.40245467])
approx = util.approx_theta_E(x, y)
npt.assert_array_less(approx - 1, 0.2)
def __init__(self, lens_model_list, kwargs_lens, xpos, ypos):
assert lens_model_list[0] in ['SPEMD', 'SPEP']
assert lens_model_list[1] == 'SHEAR'
self._Ntovary = 2
self._k_start = 2
self._kwargs_lens = kwargs_lens
self._theta_E_start = approx_theta_E(xpos, ypos)
self._tovary_indicies = [0, 1]
self.param_names = [[
'theta_E', 'center_x', 'center_y', 'e1', 'e2', 'gamma'
], ['e1', 'e2']]
self.fixed_names = [['gamma'], []]
self.fixed_values = [{'gamma': kwargs_lens[0]['gamma']}, {}]
self.params_to_vary = [
'theta_E', 'center_x', 'center_y', 'e1', 'e2', 'shear_e1',
'shear_e2'
]
