Smeared spectral functions from lattice QCD: opportunities and challenges
Abstract
A broad class of physical observables can be expressed in terms of smeared spectral functions. Important examples include the hadronic vacuum polarization contribution to the muon g−2, hadronic τ decays, inclusive semileptonic B and D decays, and amplitudes for rare processes such as B→ K(*)ℓ+ℓ-. In recent years, a variety of methods have been proposed to reconstruct or constrain such spectral functions from Euclidean correlators and related inputs. However, the inverse problem is intrinsically ill-posed, making it difficult to obtain fully reliable, model-independent results with controlled uncertainties. In this contribution, I summarize recent developments, discuss the opportunities offered by smeared spectral observables, and highlight the main challenges that remain.
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BibTeX
@misc{hashimoto2026smeared,
title = {{Smeared spectral functions from lattice QCD: opportunities and challenges}},
author = {Shoji Hashimoto},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.02239},
eprint = {2609.02239},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.02239},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Smeared spectral functions from lattice QCD: opportunities and challenges
AU - Shoji Hashimoto
PY - 2026
DA - 2026/09/02
PB - arXiv
DO - 10.48550/arxiv.2609.02239
UR - https://arxiv.org/abs/2609.02239
AB - A broad class of physical observables can be expressed in terms of smeared spectral functions. Important examples include the hadronic vacuum polarization contribution to the muon g−2, hadronic τ decays, inclusive semileptonic B and D decays, and amplitudes for rare processes such as B→ K^(*)ℓ^+ℓ^-. In recent years, a variety of methods have been proposed to reconstruct or constrain such spectral functions from Euclidean correlators and related inputs. However, the inverse problem is intrinsically ill-posed, making it difficult to obtain fully reliable, model-independent results with controlled uncertainties. In this contribution, I summarize recent developments, discuss the opportunities offered by smeared spectral observables, and highlight the main challenges that remain.
ER -