gftool.pade.Averager

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

Create function for averaging Padé scheme.

Parameters:
z_in(N_in,) complex ndarray

Complex mesh used to calculate coeff.

coeff(…, N_in) complex ndarray

Coefficients for Padé, calculated from pade.coefficients.

valid_padeslist_like of bool

Mask which continuations are correct, all Padés 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 Padé. For KindGf the function goes like \(1/z\) for large z, for KindSelf the function behaves like a constant for large z.

Returns:
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.