Analytical continuation of imaginary axis data using maximum entropy
We study the maximum entropy (MaxEnt) approach for analytical continuation of spectral data from imaginary times to real frequencies. The total error is divided in a statistical error, due to the noise in the input data, and a systematic error, due to deviations of the default function, used in the...
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| Main Authors: | , , |
|---|---|
| Format: | Article (Journal) Chapter/Article |
| Language: | English |
| Published: |
2010
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| In: |
Arxiv
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| Online Access: | Verlag, Volltext: http://arxiv.org/abs/1001.4351 |
| Author Notes: | O. Gunnarsson, M.W. Haverkort and G. Sangiovanni |
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