Analytic continuation from limited noisy Matsubara data
This note proposes new algorithms for estimating spectral distribution from limited noisy Matsubara data. We consider both the cases of the spectral distribution with a sparse or a continuous support. In both cases, the proposed algorithm first constructs an accurate approximation of the Matsubara d...
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| Published in: | Journal of computational physics Vol. 469; p. 111549 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
Cambridge
Elsevier Inc
15.11.2022
Elsevier Science Ltd |
| Subjects: | |
| ISSN: | 0021-9991, 1090-2716 |
| Online Access: | Get full text |
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