autogalaxy.profiles.mass.cNFWSph#
- class cNFWSph[source]#
Bases:
cNFW- Parameters:
centre (
Tuple[float,float]) – The (y,x) arc-second coordinates of the profile centre.kappa_s (
float) – The overall normalization of the dark matter halo (\(\kappa_s = \rho_0 D_d r_s / \Sigma_{\rm crit}\)).scale_radius (
float) – The cored NFW scale radius \(r_s\), as an angle on the sky in arcseconds.core_radius (
float) – The cored NFW core radius \(r_c\), as an angle on the sky in arcseconds.
Methods
angleThe position angle in degrees of the major-axis of the ellipse defined by profile, defined counter clockwise from the positive x-axis (0.0 > angle > 180.0).
angle_radiansThe position angle in radians of the major-axis of the ellipse defined by profile, defined counter clockwise from the positive x-axis (0.0 > angle > 2pi).
angle_to_profile_grid_fromThe angle between each angle theta on the grid and the profile, in radians.
axis_ratioThe ratio of the minor-axis to major-axis (b/a) of the ellipse defined by profile (0.0 > q > 1.0).
concentrationconcentration_funcCalculate the projected convergence at a given set of arc-second gridded coordinates.
convergence_funcRadial projected convergence kappa(r), reusing the MGE-of-3D-density decomposition (the same machinery convergence_2d_from uses with three_D=True) evaluated at the radial coordinate grid_radius.
coord_func_fcoord_func_gVectorized version of the original looped coord_func_g_jit.
coord_func_hdeflections_2d_via_mge_fromdeflections_2d_via_potential_2d_fromReturns the 2D deflection angles of the mass profile by numerically differentiating the lensing potential on the input grid.
Calculate the deflection angles on a grid of (y,x) arc-second coordinates.
delta_concentrationdensity_3d_funcdensity_between_circular_annuliCalculate the mass between two circular annuli and compute the density by dividing by the annuli surface area.
eccentric_radii_grid_fromConvert a grid of (y,x) coordinates to an eccentric radius: :math: axis_ratio^0.5 (x^2 + (y^2/q))^0.5
elliptical_radii_grid_fromConvert a grid of (y,x) coordinates to their elliptical radii values: :math: (x^2 + (y^2/q))^0.5
extract_attributeReturns an attribute of a class and its children profiles in the galaxy as a ValueIrregular or Grid2DIrregular object.
hasReturns True if any attribute of this profile is an instance of the input class cls, else False.
mass_angular_within_circle_fromIntegrate the mass profiles's convergence profile to compute the total mass within a circle of specified radius.
mass_at_200_solar_massesmass_integralIntegrand used by mass_angular_within_circle_from to compute the total projected mass within a circle.
Returns the 2D lensing potential of the mass profile from a 2D grid of Cartesian (y,x) coordinates.
potential_funcReturns the integrand of the lensing potential at a single point, used in numerical integration schemes for computing the potential from the mass profile's convergence.
radial_grid_fromConvert a grid of (y, x) coordinates, to their radial distances from the profile centre (e.g. :math: r = sqrt(x**2 + y**2)).
radius_at_200Returns r_{200m} for this halo in arcseconds
rho_at_scale_radius_solar_mass_per_kpc3The Cosmic average density is defined at the redshift of the profile.
rotated_grid_from_reference_frame_fromRotate a grid of (y,x) coordinates which have been transformed to the elliptical reference frame of a profile back to the original unrotated coordinate grid reference frame.
transformed_from_reference_frame_grid_fromTransform a grid of (y,x) coordinates from the reference frame of the profile to the original observer reference frame.
transformed_to_reference_frame_grid_fromTransform a grid of (y,x) coordinates to the reference frame of the profile.
vmapped_deflections_fromAttributes
average_convergence_of_1_radiusThe radius a critical curve forms for this mass profile, e.g. where the mean convergence is equal to 1.0.
ellipticity_rescaleA rescaling factor applied to account for the ellipticity of the mass profile when computing the Einstein radius from the average convergence equals unity criterion.
epsrel- deflections_yx_2d_from(grid, xp=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyautolens/envs/latest/lib/python3.12/site-packages/numpy/__init__.py'>, **kwargs)[source]#
Calculate the deflection angles on a grid of (y,x) arc-second coordinates.
The input grid of (y,x) coordinates are transformed to a coordinate system centred on the profile centre with and rotated based on the position angle defined from its ell_comps (this is described fully below).
The numerical backend can be selected via the
xpargument, allowing this method to be used with both NumPy and JAX (e.g. insidejax.jit-compiled code). This is described fully later in this example.- Parameters:
grid (
Union[ndarray,Grid2D,Grid2DIrregular]) – The grid of (y,x) arc-second coordinates the deflection angles are computed on.xp – The numerical backend to use, either numpy or jax.numpy.
- F_func(theta, radius, xp=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyautolens/envs/latest/lib/python3.12/site-packages/numpy/__init__.py'>)[source]#
- dev_F_func(theta, radius, xp=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyautolens/envs/latest/lib/python3.12/site-packages/numpy/__init__.py'>)[source]#
- convergence_2d_from(grid, xp=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyautolens/envs/latest/lib/python3.12/site-packages/numpy/__init__.py'>, **kwargs)[source]#
Calculate the projected convergence at a given set of arc-second gridded coordinates.
- Parameters:
grid (
Union[ndarray,Grid2D,Grid2DIrregular]) – The grid of (y,x) arc-second coordinates the convergence is computed on.
- potential_2d_from(grid, xp=<module 'numpy' from '/home/docs/checkouts/readthedocs.org/user_builds/pyautolens/envs/latest/lib/python3.12/site-packages/numpy/__init__.py'>, **kwargs)[source]#
Returns the 2D lensing potential of the mass profile from a 2D grid of Cartesian (y,x) coordinates.
The lensing potential ψ(θ) is the gravitational (Shapiro) time-delay term. It quantifies how much the passage of light through the gravitational field delays its arrival relative to a straight-line path in empty space.
The potential enters directly into the Fermat potential:
φ(θ) = ½ |θ − β|² − ψ(θ)
which governs time delays between multiple lensed images of the same source.
- Parameters:
grid (
Union[ndarray,Grid2D,Grid2DIrregular]) – The 2D (y, x) coordinates where the lensing potential is evaluated.- Returns:
The lensing potential ψ(θ) at every coordinate on the input grid.
- Return type:
aa.Array2D