gftool.pade.Averager

gftool.pade.Averager(z_in, coeff, *, valid_pades, kind: gftool.pade.KindSelector)

Create function for averaging Pade scheme.

Parameters:

z_in : (N_in,) complex ndarray

complex mesh used to calculate coeff

coeff : (…, N_in) complex ndarray

coefficients for Pade, calculated from pade.coefficients

valid_pades : list_like of bool

Mask which continuations are correct, all Pades where valid_pades evaluates to false will be ignored for the average.

kind : {KindGf, KindSelf}

Defines the asymptotic of the continued function and the number of minimum and maximum input points used for Pade. For KindGf the function goes like \(1/z\) for large z, for KindSelf the function behaves like a constant for large z.

Returns:

average : function

The continued function f(z) (z, ) -> Result. f(z).x contains the function values f(z).err the associated variance.

Raises:

TypeError

If valid_pades not of type bool

RuntimeError

If all there are none elements of valid_pades that evaluate to True.