triqs_Nevanlinna.kernels_core.NevanlinnaKernel

class triqs_Nevanlinna.kernels_core.NevanlinnaKernel

Bases: object

Diagonal Nevanlinna continuation kernel.

Builds one independent Nevanlinna factorization per orbital; off-diagonal elements of the input Green’s function are ignored. Supports Hardy-function (theta) optimization in evaluate().

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Dispatched C++ constructor(s).

[1] (precision: int = 100)

Construct the diagonal Nevanlinna kernel.

Parameters:

precisionint

Number of decimal digits of internal multiprecision arithmetic (only honored with MPFR support).

Attributes

Pick_eigenvalues

Eigenvalues of the Pick matrix; non-negative eigenvalues indicate the data is continuable (Nevanlinna).

Methods

evaluate	Evaluate the diagonal real-frequency Green's function on a chosen grid.
get_Pick_eigenvalues	Dispatched C++ function(s).
init	Initialize the diagonal Nevanlinna continuation from Matsubara-frequency input data.