triqs.gf.gf_fnt

C++ wrapping of functions on Green functions …

Functions

density	Density, as a matrix, computed from a Matsubara sum
enforce_discontinuity	Signature : (gf_view<triqs::gfs::legendre,matrix_valued> gl, matrix_view<double> disc) -> None Modify the coefficient to adjust discontinuity
fit_hermitian_tail	tail
fit_hermitian_tail_on_window	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	tail
fit_tail_on_window	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
is_gf_hermitian	Signature : (gf<imfreq,scalar_valued> g, float tolerance = 1.e-12) -> bool
is_gf_real_in_tau	Signature : (gf<imfreq,scalar_valued> g, float tolerance = 1.e-12) -> bool
rebinning_tau	Signature : (gf_view<imtime,matrix_valued> g, size_t new_n_tau) -> gf<imtime, matrix_valued> Rebins the data of a GfImTime on a sparser mesh
replace_by_tail	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	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	Fills self with the Fourier transform of g_in
set_from_imfreq	Fills self with the legendre transform of gw
set_from_imtime	Fills self with the legendre transform of gt
set_from_legendre	Fills self with the legendre transform of gl
set_from_pade	Signature : (gf_view<refreq,scalar_valued> gw, gf_view<imfreq,scalar_valued> giw, int n_points = 100, float freq_offset = 0.0) -> None