STI Publications - View Publication Form #16080
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Publication Information
| Title | Quasielastic lepton scattering and back-to-back nucleons in the short-time approximation | ||||
| Abstract | Understanding quasielastic electron- and neutrino-scattering from nuclei has taken on new urgency with current and planned neutrino oscillation experiments, and with electron scattering experiments measuring specific final states, such as those involving nucleon pairs in ``back-to-back'' configurations. Accurate many-body methods are available for calculating the response of light ($A \leq 12$) nuclei to electromagnetic and weak probes, but they are computationally intensive and only applicable to the inclusive response. In the present work we introduce a novel approach, based on realistic models of nuclear interactions and currents, to evaluate the short-time (high-energy) inclusive and exclusive response of nuclei. The approach accounts reliably for crucial two-nucleon dynamics, including correlations and currents, and provides information on back-to-back nucleons observed in electron and neutrino scattering experiments. We demonstrate that in the quasielastic regime and at moderate | ||||
| Author(s) | Saori Pastore, J. Carlson, Stefano Gandolfi, Rocco Schiavilla, Robert Wiringa | ||||
| Publication Date | April 2020 | ||||
| Document Type | Journal Article | ||||
| Primary Institution | Thomas Jefferson National Accelerator Facility, Newport News | ||||
| Affiliation | Theory & Comp Physics / THEORY CENTER / THEORY CENTER | ||||
| Funding Source | Nuclear Physics (NP) | ||||
| Proprietary? | No | ||||
| This publication conveys | Technical Science Results | ||||
| Document Numbers |
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| Associated with an experiment | No | ||||
| Associated with EIC | No | ||||
| Supported by Jefferson Lab LDRD Funding | No |
Journal Article
| Journal Name | Physical Review C |
| Refereed | Yes |
| Volume | 101 |
| Issue | |
| Page(s) | 044612 |
Attachments/Datasets/DOI Link
| Document(s) |
short-time-v15.pdf
(STI Document)
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| DOI Link | |
| Dataset(s) | (none) |
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