2021
DOI: 10.48550/arxiv.2101.00708
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Computing local multipoint correlators using the numerical renormalization group

Seung-Sup B. Lee,
Fabian B. Kugler,
Jan von Delft

Abstract: Here, G, K, and S each have only − 1 independent arguments, with ω and ω p = (ω 1 ,..., ω ) understood to obey energy conservation, ω 1••• = 0 and ω 1••• = 0. The ZF convolution kernel K can be chosen as

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 98 publications
(222 reference statements)
0
2
0
Order By: Relevance
“…Indeed, the full two-particle information can be reconstructed from the residual vertex [91], including the corresponding fingerprints of the local moment [75]. However, further investigation is required, for example, an intriguing option is to study the residual vertex of the SBE decomposition on the real axis [46,47].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Indeed, the full two-particle information can be reconstructed from the residual vertex [91], including the corresponding fingerprints of the local moment [75]. However, further investigation is required, for example, an intriguing option is to study the residual vertex of the SBE decomposition on the real axis [46,47].…”
Section: Discussionmentioning
confidence: 99%
“…Previously, this correlation function has been calculated using a variety of different methods, for example, full exact diagonalization (ED, [40]), Lanczos ED [45], CTQMC, and, very recently, the numerical renormalization group (NRG, [46,47]). All these methods have in common that the evaluation of f is computationally expensive, in fact, at the present stage only CTQMC solvers are applicable in multi-orbital settings [48,49].…”
Section: Vertex Parameterizationsmentioning
confidence: 99%