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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2310.16243 |
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| _version_ | 1866911755689525248 |
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| author | Bruno, Mattia Giusti, Leonardo Saccardi, Matteo |
| author_facet | Bruno, Mattia Giusti, Leonardo Saccardi, Matteo |
| contents | Hadronic spectral densities play a pivotal role in particle physics, a prime example being the R-ratio defined from electron-positron scattering into hadrons. To predict them from first principles using Lattice QCD, we face a numerically ill-posed inverse problem, due to the Euclidean signature adopted in practical simulations. Here we present a recent numerical analysis of the vector isovector spectral density extracted using the multi-level algorithm (recently extended also to the case of dynamical fermions) and discuss its implications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_16243 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | On the prediction of spectral densities from Lattice QCD Bruno, Mattia Giusti, Leonardo Saccardi, Matteo High Energy Physics - Lattice Hadronic spectral densities play a pivotal role in particle physics, a prime example being the R-ratio defined from electron-positron scattering into hadrons. To predict them from first principles using Lattice QCD, we face a numerically ill-posed inverse problem, due to the Euclidean signature adopted in practical simulations. Here we present a recent numerical analysis of the vector isovector spectral density extracted using the multi-level algorithm (recently extended also to the case of dynamical fermions) and discuss its implications. |
| title | On the prediction of spectral densities from Lattice QCD |
| topic | High Energy Physics - Lattice |
| url | https://arxiv.org/abs/2310.16243 |