triqs_cthyb.tail_fit.tail_fit
- triqs_cthyb.tail_fit.tail_fit(Sigma_iw, fit_min_n=None, fit_max_n=None, fit_min_w=None, fit_max_w=None, fit_max_moment=None, fit_known_moments=None)[source]
Fit a high frequency 1/(iw)^n expansion of Sigma_iw and replace the high frequency part with the fitted high frequency expansion.
Either give frequency window to fit on in terms of matsubara frequencies index (fit_min_n/fit_max_n) or value (fit_min_w/fit_max_w).
- Parameters:
- Sigma_iwGf
Self-energy.
- fit_min_nint, optional, default=int(0.8*len(Sigma_iw.mesh))
Matsubara frequency index from which tail fitting should start.
- fit_max_nint, optional, default=int(len(Sigma_iw.mesh))
Matsubara frequency index at which tail fitting should end.
- fit_min_wfloat, optional
Matsubara frequency from which tail fitting should start.
- fit_max_wfloat, optional
Matsubara frequency at which tail fitting should end.
- fit_max_momentint, optional
Highest moment to fit in the tail of Sigma_iw.
- fit_known_moments
ndarray.shape[order, Sigma_iw[0].target_shape], optional, default = None Known moments of Sigma_iw, given as an numpy ndarray
- Returns:
- Sigma_iwGf
Self-energy.