triqs.gf.backwd_compat.gf_refreq.GfReFreq

class triqs.gf.backwd_compat.gf_refreq.GfReFreq(**kw)

mesh: MeshReFreq, optional

The mesh of the Green function If not present, it will be constructed from the parameters beta, indices, [n_points], [statistic]

data: numpy.array, optional

The data of the Gf. Must be of dimension mesh.rank + target_rank. Incompatible with target_shape

target_shape: list of int, optional

Shape of the target space. Incompatible with data

is_real: bool

Is the Green function real valued ? If true, and target_shape is set, the data will be real. No effect with the parameter data.

indices: GfIndices or list of str or list of list of str, Optional

Optional string indices for the target space, to allow e.g g[‘eg’, ‘eg’] list of list of str: the list of indices for each dimension. list of str: all indices are assumed to be the same for all dimensions.

name: str

The name of the Green function. For plotting.

Methods

GfIndices(*args, **kw)
__init__(**kw)	Same as Gf, but can rebuild the mesh for backward compatibility
conjugate()	Conjugate of the Greens function.
copy()	Deep copy of the Greens function.
copy_from(another)	Copy the data of another Greens function into self.
density(*args, **kwargs)	Compute the density matrix of the Greens function
enforce_discontinuity(*args, **kw)	Signature : (gf_view<triqs::gfs::legendre,matrix_valued> gl, matrix_view<double> disc) -> None Modify the coefficient to adjust discontinuity
fit_hermitian_tail(*args, **kw)	tail
fit_hermitian_tail_on_window(*args, **kw)	Signature : (gf_const_view<imfreq,matrix_valued> g, int n_min, int n_max, array_const_view<dcomplex,3> known_moments, int n_tail_max, int expansion_order) -> std::pair<array<dcomplex,3>, double> Fits the tail on the [n_min, n_max] window + negative counter part with the contraint of hermitian moment matrices
fit_tail(*args, **kw)	tail
fit_tail_on_window(*args, **kw)	Signature : (gf_const_view<imfreq,matrix_valued> g, int n_min, int n_max, array_const_view<dcomplex,3> known_moments, int n_tail_max, int expansion_order) -> std::pair<array<dcomplex,3>, double> Fits the tail on the [n_min, n_max] window + negative counter part
from_L_G_R(L, G, R)	Matrix transform of the target space of a matrix valued Greens function.
inverse()	Computes the inverse of the Greens function.
invert()	Inverts the Greens function (in place).
is_gf_hermitian(*args, **kw)	Signature : (gf<imfreq,scalar_valued> g, float tolerance = 1.e-12) -> bool
is_gf_real_in_tau(*args, **kw)	Signature : (gf<imfreq,scalar_valued> g, float tolerance = 1.e-12) -> bool
rebinning_tau(*args, **kw)	Signature : (gf_view<imtime,matrix_valued> g, int new_n_tau) -> gf<imtime, matrix_valued> Rebins the data of a GfImTime on a sparser mesh
replace_by_tail(*args, **kw)	Signature : (gf_view<imfreq,matrix_valued> g, array_const_view<dcomplex,3> tail, int n_min) -> None Replace the function by the evaluation of the tail for |n| > n_min
replace_by_tail_in_fit_window(*args, **kw)	Signature : (gf_view<imfreq,matrix_valued> g, array_const_view<dcomplex,3> tail) -> None Replace the function by the evaluation of the tail for |n| > n_min
set_from_fourier(*args, **kw)	Fills self with the Fourier transform of g_in
set_from_imfreq(*args, **kw)	Fills self with the legendre transform of gw
set_from_imtime(*args, **kw)	Fills self with the legendre transform of gt
set_from_legendre(*args, **kw)	Fills self with the legendre transform of gl
set_from_pade(*args, **kw)	Signature : (gf_view<refreq,matrix_valued> gw, gf_view<imfreq,matrix_valued> giw, int n_points = 100, float freq_offset = 0.0) -> None
total_density(*args, **kwargs)	Compute total density.
transpose()	Take the transpose of a matrix valued Greens function.
x_data_view([x_window, flatten_y])	Helper method for getting a view of the data.
zero()	Set all values to zero.

Attributes

data	Raw data of the Greens function.
imag	A Greens function with a view of the imaginary part.
indices	The index object of the target space.
mesh	The mesh of the Greens function.
rank	The mesh rank (number of meshes).
real	A Greens function with a view of the real part.
target_rank	The rank of the target space.
target_shape	The shape of the target space.