pith:AGIGYW3U
Spectral reconstruction from Euclidean lattice correlators through singular value decomposition
Truncating the singular value decomposition of the kernel function reconstructs smeared spectral densities from Euclidean lattice correlators with controlled uncertainties.
arxiv:2605.15674 v1 · 2026-05-15 · hep-lat
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Claims
By retaining only the components associated with the largest singular values, for which the correlator data remain statistically significant, one can reconstruct smeared spectral functions with controlled uncertainties. The systematic error arising from the truncation can also be bounded under reasonable assumptions.
The systematic error from SVD truncation can be bounded under reasonable assumptions about the form or positivity properties of the underlying spectral function.
SVD truncation of the exp(-ωt) kernel reconstructs smeared spectral functions from lattice correlators with controlled uncertainties and approaches the Mellin transform in the continuum limit.
References
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Receipt and verification
| First computed | 2026-05-20T00:01:11.692906Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
01906c5b741683c574614c73177d3b89acbf98ef5e62528763ec4c0d31bcfa66
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AGIGYW3UC2B4K5DBJRZRO7J3RG \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
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Canonical record JSON
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