def get_g_primed(self, x):
""" Uses precomputed information to compute the derivative of the visibility function. """
return interpolation.splint_deriv(self.x_array, self.g_array, self.g_spline, x)
def get_tau_double_primed(self, x):
""" Uses information in the tau primed spline to splint the derivative of this again """
#Since what we have information about is log(-dtau/dx), we have to return
# -dtau/dx * d log(-dtau/dx)/dx in order to actually return d2tau/dx2
return -self.get_tau_primed(x) * interpolation.splint_deriv(self.x_array, np.log(-self.tau_der_array), self.tau_der_spline, x)