gftool.check_convergence

gftool.check_convergence(gf_iw, potential, beta, order=2, matrix=False, total=False)

Return data for visual inspection of the density error.

The calculation of the density error assumes that sufficient Matsubara frequencies were used. Sufficient means here, that the reminder \(ΔG\) does not grow anymore. If the error estimate is small, but check_convergence returns rapidly growing data, the number of Matsubara frequencies is not sufficient

Parameters

see `density`

Returns

check_convergencefloat ndarray

The last dimension of check_convergence corresponds to the Matsubara frequencies.

Other Parameters

orderint

The assumed order of the first non-vanishing term of the Laurent expansion.