Add parameters to enable improved estimators #4
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Wentzell
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hmenke
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Apr 4, 2025
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| self.G_iw = BlockGf(mesh=self.iw_mesh, gf_struct=self.gf_struct) | ||
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| ### I will use the FFT from triqs here... | ||
| for name, g in self.G_tau: | ||
| bl_size = g.target_shape[0] | ||
| known_moments = np.zeros((4, bl_size, bl_size), dtype=complex) | ||
| for i in range(bl_size): | ||
| known_moments[1,i,i] = 1 | ||
| self.G_iw, self.G_iw_error = w2dyn_ndarray_to_triqs_BlockGF_iw_beta_niw( | ||
| giw, self.n_iw, self.beta, self.gf_struct) | ||
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| self.G_iw[name].set_from_fourier(g, known_moments) |
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@ahausoel Was there any particular reason why you used a Fourier transform instead of using the impurity Green's function from w2dynamics? Do the Legendre tails from w2dynamics pose a problem anywhere?
@HugoStrand What is your opinion on that?
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If the Legendre tail are undesirable we could set config["General"]["FTType"] = "plain".
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TODO: