Source code for jaxtronomy.LightModel.Profiles.sersic

__author__ = "sibirrer"

#  this file contains a class to make a Sersic profile

from jax import jit, tree_util

from jaxtronomy.LensModel.Profiles.sersic_utils import SersicUtil


[docs] class Sersic(SersicUtil): """This class contains functions to evaluate a spherical Sersic function. .. math:: I(R) = I_{\\rm e} \\exp \\left( -b_n \\left[(R/R_{\\rm Sersic})^{\\frac{1}{n}}-1\\right]\\right) with :math:`I_0 = amp` and with :math:`b_{n}\\approx 1.999n-0.327` """ param_names = ["amp", "R_sersic", "n_sersic", "center_x", "center_y"] lower_limit_default = { "amp": 0, "R_sersic": 0, "n_sersic": 0.5, "center_x": -100, "center_y": -100, } upper_limit_default = { "amp": 100, "R_sersic": 100, "n_sersic": 8, "center_x": 100, "center_y": 100, } # -------------------------------------------------------------------------------- # The following two methods are required to allow the JAX compiler to recognize # this class. Methods involving the self variable can be jit-decorated. # Class methods will need to be recompiled each time a variable in the aux_data # changes to a new value (but there's no need to recompile if it changes to a previous value) def _tree_flatten(self): children = (self._smoothing,) aux_data = {"sersic_major_axis": self._sersic_major_axis} return (children, aux_data) @classmethod def _tree_unflatten(cls, aux_data, children): return cls(*children, **aux_data) # --------------------------------------------------------------------------------
[docs] @jit def function( self, x, y, amp, R_sersic, n_sersic, center_x=0, center_y=0, max_R_frac=1000.0 ): """ :param x: :param y: :param amp: surface brightness/amplitude value at the half light radius :param R_sersic: semi-major axis half light radius :param n_sersic: Sersic index :param center_x: center in x-coordinate :param center_y: center in y-coordinate :param max_R_frac: maximum window outside which the mass is zeroed, in units of R_sersic (float) :return: Sersic profile value at (x, y) """ R = self.get_distance_from_center( x, y, e1=0, e2=0, center_x=center_x, center_y=center_y ) result = self._r_sersic(R, R_sersic, n_sersic, max_R_frac) return amp * result
tree_util.register_pytree_node(Sersic, Sersic._tree_flatten, Sersic._tree_unflatten)