# Publications

## Publication Information

 Title Quasielastic lepton scattering and back-to-back nucleons in the short-time approximation Authors Saori Pastore,Joseph Carlson,Stefano Gandolfi,Rocco Schiavilla,Robert Wiringa JLAB number JLAB-THY-19-3034 LANL number arXiv:1909.06400 Other number DOE/OR/23177-4833; LA-UR-19-29015 Document Type(s) (Journal Article) Supported by U.S. Naval Research: No Supported by Jefferson Lab LDRD Funding: No Funding Source: Nuclear Physics (NP) Journal Compiled for Physical Review C Publication 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 momentum transfers both initial- and final-state correlations, and two-nucleon currents are important for a quantitatively successful description of the inclusive response and final state nucleons. Finally, the approach can be extended to include relativistic -kinematical and dynamical- effects, at least approximately in the two-nucleon sector, and to describe the response in the resonance-excitation region. Experiment Numbers: other Group: THEORY CENTER Document: pdf DOI: Accepted Manuscript: Supporting Documents: Supporting Datasets: