Source code for lenstronomy.LensModel.Profiles.general_nfw

__author__ = "dgilman"

# this file contains a class to compute the Navaro-Frenk-White profile
import numpy as np
from scipy.special import hyp2f1
from scipy.special import beta
from lenstronomy.LensModel.Profiles.base_profile import LensProfileBase

__all__ = ["GNFW"]


[docs]class GNFW(LensProfileBase): """This class contains a double power law profile with flexible inner and outer logarithmic slopes g and n. .. math:: \\rho(r) = \\frac{\\rho_0}{r^{\\gamma}} \\frac{Rs^{n}}{\\left(r^2 + Rs^2 \\right)^{(n - \\gamma)/2}} For g = 1.0 and n=3, it is approximately the same as an NFW profile The original reference is [1]_. .. [1] Munoz, Kochanek and Keeton, (2001), astro-ph/0103009, doi:10.1086/322314 TODO: implement the gravitational potential for this profile """ profile_name = "GNFW" param_names = [ "Rs", "alpha_Rs", "center_x", "center_y", "gamma_inner", "gamma_outer", ] lower_limit_default = { "Rs": 0, "alpha_Rs": 0, "center_x": -100, "center_y": -100, "gamma_inner": 0.1, "gamma_outer": 1.0, } upper_limit_default = { "Rs": 100, "alpha_Rs": 10, "center_x": 100, "center_y": 100, "gamma_inner": 2.9, "gamma_outer": 10.0, }
[docs] def derivatives( self, x, y, Rs, alpha_Rs, gamma_inner, gamma_outer, center_x=0, center_y=0 ): """Returns df/dx and df/dy of the function which are the deflection angles. :param x: angular position (normally in units of arc seconds) :param y: angular position (normally in units of arc seconds) :param Rs: turn over point in the slope of the NFW profile in angular unit :param alpha_Rs: deflection (angular units) at projected Rs :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :param center_x: center of halo (in angular units) :param center_y: center of halo (in angular units) :return: deflection angle in x, deflection angle in y """ rho0_input = self.alpha2rho0(alpha_Rs, Rs, gamma_inner, gamma_outer) Rs = np.maximum(Rs, 0.00000001) x_ = x - center_x y_ = y - center_y R = np.sqrt(x_**2 + y_**2) f_x, f_y = self.nfwAlpha(R, Rs, rho0_input, gamma_inner, gamma_outer, x_, y_) return f_x, f_y
[docs] def hessian( self, x, y, Rs, alpha_Rs, gamma_inner, gamma_outer, center_x=0, center_y=0 ): """ :param x: angular position (normally in units of arc seconds) :param y: angular position (normally in units of arc seconds) :param Rs: turn over point in the slope of the NFW profile in angular unit :param alpha_Rs: deflection (angular units) at projected Rs :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :param center_x: center of halo (in angular units) :param center_y: center of halo (in angular units) :return: Hessian matrix of function d^2f/dx^2, d^2/dxdy, d^2/dydx, d^f/dy^2 """ rho0_input = self.alpha2rho0(alpha_Rs, Rs, gamma_inner, gamma_outer) x_ = x - center_x y_ = y - center_y R = np.sqrt(x_**2 + y_**2) R = np.maximum(R, 0.00000001) kappa = self.density_2d(R, 0, Rs, rho0_input, gamma_inner, gamma_outer) gamma1, gamma2 = self.nfwGamma( R, Rs, rho0_input, gamma_inner, gamma_outer, x_, y_ ) f_xx = kappa + gamma1 f_yy = kappa - gamma1 f_xy = gamma2 return f_xx, f_xy, f_xy, f_yy
[docs] @staticmethod def density(R, Rs, rho0, gamma_inner, gamma_outer): """Three dimensional NFW profile. :param R: radius of interest :type Rs: scale radius :param rho0: central density normalization :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: rho(R) density """ x = R / Rs outer_slope = (gamma_outer - gamma_inner) / 2 return rho0 / (x**gamma_inner * (1 + x**2) ** outer_slope)
[docs] def density_lens(self, r, Rs, alpha_Rs, gamma_inner, gamma_outer): """Computes the density at 3d radius r given lens model parameterization. The integral in the LOS projection of this quantity results in the convergence quantity. :param r: 3d radios :param Rs: scale radius :param alpha_Rs: deflection at Rs :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: density rho(r) """ rho0 = self.alpha2rho0(alpha_Rs, Rs, gamma_inner, gamma_outer) return self.density(r, Rs, rho0, gamma_inner, gamma_outer)
[docs] def density_2d( self, x, y, Rs, rho0, gamma_inner, gamma_outer, center_x=0, center_y=0 ): """Projected two dimensional profile. :param x: angular position (normally in units of arc seconds) :param y: angular position (normally in units of arc seconds) :param Rs: turn over point in the slope of the NFW profile in angular unit :param rho0: density normalization at Rs :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :param center_x: profile center (same units as x) :param center_y: profile center (same units as x) :return: Epsilon(R) projected density at radius R """ x_ = x - center_x y_ = y - center_y R = np.sqrt(x_**2 + y_**2) x = R / Rs Fx = self._f(x, gamma_inner, gamma_outer) return 2 * rho0 * Rs * Fx
[docs] @staticmethod def mass_3d(r, Rs, rho0, gamma_inner, gamma_outer): """Mass enclosed a 3d sphere or radius r. :param r: 3d radius :param Rs: scale radius :param rho0: density normalization :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: M(<r) """ Rs = float(Rs) const = 4 * np.pi * r**3 * rho0 * (Rs / r) ** gamma_inner m_3d = ( const / (3 - gamma_inner) * hyp2f1( (3 - gamma_inner) / 2, (gamma_outer - gamma_inner) / 2, (5 - gamma_inner) / 2, -((r / Rs) ** 2), ) ) return m_3d
[docs] def mass_3d_lens(self, r, Rs, alpha_Rs, gamma_inner, gamma_outer): """Mass enclosed a 3d sphere or radius r. This function takes as input the lensing parameterization. :param r: 3d radius :param Rs: scale radius :param alpha_Rs: deflection angle at Rs :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: M(<r) """ rho0 = self.alpha2rho0(alpha_Rs, Rs, gamma_inner, gamma_outer) m_3d = self.mass_3d(r, Rs, rho0, gamma_inner, gamma_outer) return m_3d
[docs] def mass_2d(self, R, Rs, rho0, gamma_inner, gamma_outer): """Mass enclosed a 2d cylinder or projected radius R. :param R: 3d radius :param Rs: scale radius :param rho0: central density normalization :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: mass in cylinder """ R = np.maximum(R, 0.00000001) x = R / Rs gx = self._g(x, gamma_inner, gamma_outer) m_2d = 4 * rho0 * Rs * R**2 * gx / x**2 * np.pi return m_2d
[docs] def nfwAlpha(self, R, Rs, rho0, gamma_inner, gamma_outer, ax_x, ax_y): """Deflection angel of NFW profile (times Sigma_crit D_OL) along the projection to coordinate 'axis'. :param R: 3d radius :param Rs: scale radius :param rho0: central density normalization :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :param ax_x: x coordinate relative to center :param ax_y: y coordinate relative to center :return: Epsilon(R) projected density at radius R """ R = np.maximum(R, 0.00000001) x = R / Rs gx = self._g(x, gamma_inner, gamma_outer) a = 4 * rho0 * Rs * R * gx / x**2 / R return a * ax_x, a * ax_y
[docs] def nfwGamma(self, R, Rs, rho0, gamma_inner, gamma_outer, ax_x, ax_y): """Shear gamma of NFW profile (times Sigma_crit) along the projection to coordinate 'axis'. :param R: 3d radius :param Rs: scale radius :param rho0: central density normalization :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :param ax_x: x coordinate relative to center :param ax_y: y coordinate relative to center :return: Epsilon(R) projected density at radius R """ R = np.maximum(R, 0.00000001) x = R / Rs gx = self._g(x, gamma_inner, gamma_outer) Fx = self._f(x, gamma_inner, gamma_outer) a = ( 2 * rho0 * Rs * (2 * gx / x**2 - Fx) ) # /x #2*rho0*Rs*(2*gx/x**2 - Fx)*axis/x return a * (ax_y**2 - ax_x**2) / R**2, -a * 2 * (ax_x * ax_y) / R**2
@staticmethod def _f(X, g, n): """Analytic solution of the projection integral. :param X: R/Rs :type X: float >0 :param g: logarithmic profile slope interior to Rs :param n: logarithmic profile slope exterior to Rs :return: solution to the projection integral """ if n == 3: n = 3.001 # for numerical stability hyp2f1_term = hyp2f1((n - 1) / 2, g / 2, n / 2, 1 / (1 + X**2)) beta_term = beta((n - 1) / 2, 0.5) return 0.5 * beta_term * hyp2f1_term * (1 + X**2) ** ((1 - n) / 2) @staticmethod def _g(X, g, n): """Analytic solution of integral for NFW profile to compute deflection angel and gamma. :param X: R/Rs :type X: float >0 :param g: logarithmic profile slope interior to Rs :param n: logarithmic profile slope exterior to Rs :return: solution of the integral over projected mass """ if n == 3: n = 3.001 # for numerical stability xi = 1 + X**2 hyp2f1_term = hyp2f1((n - 3) / 2, g / 2, n / 2, 1 / xi) beta_term_1 = beta((n - 3) / 2, (3 - g) / 2) beta_term_2 = beta((n - 3) / 2, 1.5) return 0.5 * (beta_term_1 - beta_term_2 * hyp2f1_term * xi ** ((3 - n) / 2))
[docs] def alpha2rho0(self, alpha_Rs, Rs, gamma_inner, gamma_outer): """Convert angle at Rs into rho0. :param alpha_Rs: deflection angle at RS :param Rs: scale radius :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: density normalization (characteristic density) """ gx = self._g(1.0, gamma_inner, gamma_outer) rho0 = alpha_Rs / (4.0 * Rs**2 * gx / 1.0**2) return rho0
[docs] def rho02alpha(self, rho0, Rs, gamma_inner, gamma_outer): """Convert rho0 to angle at Rs. :param rho0: density normalization (characteristic density) :param Rs: scale radius :param gamma_inner: logarithmic profile slope interior to Rs :param gamma_outer: logarithmic profile slope outside Rs :return: deflection angle at RS """ gx = self._g(1.0, gamma_inner, gamma_outer) alpha_Rs = rho0 * (4.0 * Rs**2 * gx / 1.0**2) return alpha_Rs