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)