2015/03/31 by T. Gaitanos, M. Kaskulov · 24 citations
Mathematics · Physics and Astronomy · #Artificial intelligence #Computer science #Field (mathematics) #Mathematics #Nuclear physics research studies #Pulsars and Gravitational Waves Research #Pure mathematics #Quantum Chromodynamics and Particle Interactions #Speech recognition #Stress (linguistics) #nucl-th
paper · pdf · doi:10.1016/j.nuclphysa.2015.04.006
published in Nuclear Physics A 940, 181-193 (Elsevier BV) · 16 pages, 8 figures, revised version (minor changes, updated references) to appear in Nucl. Phys. A (2015)
openalex publication_date 2015/04/17 · arxiv created 2015/04/21 · arxiv updated 2015/04/22 · openalex created_date 2016/06/24 · openalex updated_date 2026/08/05
In this work we study the antinucleon-nucleus optical potential in the framework of the non-linear derivative (NLD) model with momentum dependent mean-fields. We apply the NLD model to interaction of antinucleons (N) in nuclear matter and, in particular, to antiproton scattering on nuclei. In nuclear matter a strong suppression of the N-optical potential at rest and at high kinetic energies is found and caused by the momentum dependence of relativistic mean-fields. The NLD results are consistent with known empirical N-nucleus observations and agree well with antiproton-nucleus scattering data. This makes the NLD approach compatible with both, nucleon and antinucleon Dirac phenomenologies. Furthermore, in nuclear matter an effective mass splitting between nucleons and antinucleons is predicted.