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Article overview
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Adaptive broadening to improve spectral resolution in the numerical renormalization group | | Seung-Sup B. Lee
; Andreas Weichselbaum
; | | Date: |
5 Sep 2016 | | Abstract: | We propose an adaptive scheme of broadening the discrete spectral data from
numerical renormalization group (NRG) calculations to improve the resolution of
dynamical properties at finite energies. While the conventional scheme
overbroadens narrow features at large frequency by broadening discrete weights
with constant width in log-frequency, our scheme broadens each discrete
contribution individually based on its sensitivity to a z-shift in the
logarithmic discretization intervals. We demonstrate that the adaptive
broadening better resolves various features in non-interacting and interacting
models at comparable computational cost. At low frequency below the energy
scale of temperature, the discrete NRG data necessarily needs to be broadened
on a linear scale. Here we provide a method that minimizes transition artefacts
in between these broadening kernels. | | Source: | arXiv, 1609.1248 | | Services: | Forum | Review | PDF | Favorites | |
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