M. Mihovilovič, L. Doria, P. Achenbach, A. M. Ankowski, S. Bacca, D. Bosnar, A. Denig, M. O. Distler, A. Esser, I. Friščić, C. Giusti, M. Hoek, S. Kegel, M. Littich, G. D. Megias, H. Merkel, U. Müller, J. Pochodzalla, B. S. Schlimme, M. Schoth, C. Sfienti, S. Širca, J. E. Sobczyk, Y. Stöttinger, M. Thiel
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引用次数: 0
Abstract
We present the findings of a study based on a new inelastic electron-scattering experiment on the \({}^{12}\)C nucleus focusing on the kinematic region of \(Q^2=0.8\,\textrm{GeV}^2/{c}^2\). The measured cross section is sensitive to the transverse response function and provides a stringent test of theoretical models, as well as of the theoretical assumptions made in Monte-Carlo event-generator codes developed for the interpretation of neutrino-nucleus experiments, such as DUNE and HyperK. We find that modern generators such as GENIE and GiBUU reproduce our new experimental data within 10\(\%\).
期刊介绍:
The journal Few-Body Systems presents original research work – experimental, theoretical and computational – investigating the behavior of any classical or quantum system consisting of a small number of well-defined constituent structures. The focus is on the research methods, properties, and results characteristic of few-body systems. Examples of few-body systems range from few-quark states, light nuclear and hadronic systems; few-electron atomic systems and small molecules; and specific systems in condensed matter and surface physics (such as quantum dots and highly correlated trapped systems), up to and including large-scale celestial structures.
Systems for which an equivalent one-body description is available or can be designed, and large systems for which specific many-body methods are needed are outside the scope of the journal.
The journal is devoted to the publication of all aspects of few-body systems research and applications. While concentrating on few-body systems well-suited to rigorous solutions, the journal also encourages interdisciplinary contributions that foster common approaches and insights, introduce and benchmark the use of novel tools (e.g. machine learning) and develop relevant applications (e.g. few-body aspects in quantum technologies).