Source code for jaxtronomy.LensModel.Profiles.spp

__author__ = "sibirrer"

from jax import jit
import jax.numpy as jnp
from jax.scipy import special

from jaxtronomy.Util.util import shift_center
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase

__all__ = ["SPP"]


[docs] class SPP(LensProfileBase): """Class for circular power-law mass distribution.""" param_names = ["theta_E", "gamma", "center_x", "center_y"] lower_limit_default = { "theta_E": 0, "gamma": 1.5, "center_x": -100, "center_y": -100, } upper_limit_default = { "theta_E": 100, "gamma": 2.5, "center_x": 100, "center_y": 100, }
[docs] @staticmethod @jit def function(x, y, theta_E, gamma, center_x=0, center_y=0): """ :param x: set of x-coordinates :type x: array of size (n) :param y: set of y-coordinates :type y: array of size (n) :param theta_E: Einstein radius of lens :type theta_E: float. :param gamma: power law slope of mass profile :type gamma: <2 float :returns: function :raises: AttributeError, KeyError """ gamma = SPP._gamma_limit(gamma) x_, y_ = shift_center(x, y, center_x, center_y) E = theta_E / ((3.0 - gamma) / 2.0) ** (1.0 / (1.0 - gamma)) # E = phi_E_spp eta = -gamma + 3 p2 = x_**2 + y_**2 s2 = 0.0 # softening return 2 * E**2 / eta**2 * ((p2 + s2) / E**2) ** (eta / 2)
[docs] @staticmethod @jit def derivatives(x, y, theta_E, gamma, center_x=0.0, center_y=0.0): gamma = SPP._gamma_limit(gamma) x_, y_ = shift_center(x, y, center_x, center_y) r2 = x_**2 + y_**2 a = jnp.maximum(r2, 0.000001) r = jnp.sqrt(a) alpha = theta_E * (r2 / theta_E**2) ** (1 - gamma / 2.0) fac = alpha / r f_x = fac * x_ f_y = fac * y_ return f_x, f_y
[docs] @staticmethod @jit def hessian(x, y, theta_E, gamma, center_x=0.0, center_y=0.0): gamma = SPP._gamma_limit(gamma) x_, y_ = shift_center(x, y, center_x, center_y) E = theta_E / ((3.0 - gamma) / 2.0) ** (1.0 / (1.0 - gamma)) # E = phi_E_spp eta = -gamma + 3.0 P2 = x_**2 + y_**2 a = jnp.where(P2 < 0.000001, 0.000001, P2) kappa = ( 1.0 / eta * (a / E**2) ** (eta / 2 - 1) * ((eta - 2) * (x_**2 + y_**2) / a + (1 + 1)) ) gamma1 = ( 1.0 / eta * (a / E**2) ** (eta / 2 - 1) * ((eta / 2 - 1) * (2 * x_**2 - 2 * y_**2) / a) ) gamma2 = 4 * x_ * y_ * (1.0 / 2 - 1 / eta) * (a / E**2) ** (eta / 2 - 2) / E**2 f_xx = kappa + gamma1 f_yy = kappa - gamma1 f_xy = gamma2 return f_xx, f_xy, f_xy, f_yy
[docs] @staticmethod @jit def rho2theta(rho0, gamma): """Converts 3d density into 2d projected density parameter. :param rho0: :param gamma: :return: """ fac = ( jnp.sqrt(jnp.pi) * special.gamma(1.0 / 2 * (-1 + gamma)) / special.gamma(gamma / 2.0) * 2 / (3 - gamma) * rho0 ) # fac = theta_E**(gamma - 1) theta_E = fac ** (1.0 / (gamma - 1)) return theta_E
[docs] @staticmethod @jit def theta2rho(theta_E, gamma): """Converts projected density parameter (in units of deflection) into 3d density parameter. :param theta_E: :param gamma: :return: """ fac1 = ( jnp.sqrt(jnp.pi) * special.gamma(1.0 / 2 * (-1 + gamma)) / special.gamma(gamma / 2.0) * 2 / (3 - gamma) ) fac2 = theta_E ** (gamma - 1) rho0 = fac2 / fac1 return rho0
[docs] @staticmethod @jit def mass_3d(r, rho0, gamma): """Mass enclosed a 3d sphere or radius r. :param r: :param rho0: :param gamma: :return: """ mass_3d = 4 * jnp.pi * rho0 / (-gamma + 3) * r ** (-gamma + 3) return mass_3d
[docs] @staticmethod @jit def mass_3d_lens(r, theta_E, gamma): """ :param r: :param theta_E: :param gamma: :return: """ rho0 = SPP.theta2rho(theta_E, gamma) return SPP.mass_3d(r, rho0, gamma)
[docs] @staticmethod @jit def mass_2d(r, rho0, gamma): """Mass enclosed projected 2d sphere of radius r. :param r: :param rho0: :param gamma: :return: """ alpha = ( jnp.sqrt(jnp.pi) * special.gamma(1.0 / 2 * (-1 + gamma)) / special.gamma(gamma / 2.0) * r ** (2 - gamma) / (3 - gamma) * 2 * rho0 ) mass_2d = alpha * r * jnp.pi return mass_2d
[docs] @staticmethod @jit def mass_2d_lens(r, theta_E, gamma): """ :param r: projected radius :param theta_E: Einstein radius :param gamma: power-law slope :return: 2d projected radius enclosed """ rho0 = SPP.theta2rho(theta_E, gamma) return SPP.mass_2d(r, rho0, gamma)
[docs] @staticmethod @jit def grav_pot(x, y, rho0, gamma, center_x=0, center_y=0): """Gravitational potential (modulo 4 pi G and rho0 in appropriate units) :param x: :param y: :param rho0: :param gamma: :param center_x: :param center_y: :return: """ x_, y_ = shift_center(x, y, center_x, center_y) r = jnp.sqrt(x_**2 + y_**2) mass_3d = SPP.mass_3d(r, rho0, gamma) pot = mass_3d / r return pot
[docs] @staticmethod @jit def density(r, rho0, gamma): """Computes the density. :param r: :param rho0: :param gamma: :return: """ rho = rho0 / r**gamma return rho
[docs] @staticmethod @jit def density_lens(r, theta_E, gamma): """Computes the density at 3d radius r given lens model parameterization. The integral in projected in units of angles (i.e. arc seconds) results in the convergence quantity. """ rho0 = SPP.theta2rho(theta_E, gamma) return SPP.density(r, rho0, gamma)
[docs] @staticmethod @jit def density_2d(x, y, rho0, gamma, center_x=0, center_y=0): """Projected density. :param x: :param y: :param rho0: :param gamma: :param center_x: :param center_y: :return: """ x_, y_ = shift_center(x, y, center_x, center_y) r = jnp.sqrt(x_**2 + y_**2) sigma = ( jnp.sqrt(jnp.pi) * special.gamma(1.0 / 2 * (-1 + gamma)) / special.gamma(gamma / 2.0) * r ** (1 - gamma) * rho0 ) return sigma
@staticmethod @jit def _gamma_limit(gamma): """Limits the power-law slope to certain bounds. :param gamma: power-law slope :return: bounded power-law slopte """ return gamma