Source code for lenstronomy.LensModel.Profiles.convergence

__author__ = "sibirrer"

import lenstronomy.Util.param_util as param_util
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase

__all__ = ["Convergence"]




class Convergence(LensProfileBase):
    """A single mass sheet (external convergence)"""

    model_name = "CONVERGENCE"
    param_names = ["kappa", "ra_0", "dec_0"]
    lower_limit_default = {"kappa": -10, "ra_0": -100, "dec_0": -100}
    upper_limit_default = {"kappa": 10, "ra_0": 100, "dec_0": 100}



    def function(self, x, y, kappa, ra_0=0, dec_0=0):
        """Lensing potential.

        :param x: x-coordinate
        :param y: y-coordinate
        :param kappa: (external) convergence
        :return: lensing potential
        """
        theta, phi = param_util.cart2polar(x - ra_0, y - dec_0)
        f_ = 1.0 / 2 * kappa * theta**2
        return f_




    def derivatives(self, x, y, kappa, ra_0=0, dec_0=0):
        """Deflection angle.

        :param x: x-coordinate
        :param y: y-coordinate
        :param kappa: (external) convergence
        :return: deflection angles (first order derivatives)
        """
        x_ = x - ra_0
        y_ = y - dec_0
        f_x = kappa * x_
        f_y = kappa * y_
        return f_x, f_y




    def hessian(self, x, y, kappa, ra_0=0, dec_0=0):
        """Hessian matrix.

        :param x: x-coordinate
        :param y: y-coordinate
        :param kappa: external convergence
        :param ra_0: zero point of polynomial expansion (no deflection added)
        :param dec_0: zero point of polynomial expansion (no deflection added)
        :return: second order derivatives f_xx, f_xy, f_yx, f_yy
        """
        gamma1 = 0
        gamma2 = 0
        kappa = kappa
        f_xx = kappa + gamma1
        f_yy = kappa - gamma1
        f_xy = gamma2
        return f_xx, f_xy, f_xy, f_yy