2017/12/31 by Mengjiao Lyu, K. Yoshida, Kazuki Yoshida +3
Mathematics · Physics and Astronomy · #Algorithm #Artificial intelligence #Atomic and Molecular Physics #Atomic physics #Cluster analysis #Computer science #Mathematics #Nuclear physics #Nuclear physics research studies #Observable #Physics #Proton #Quantum Chromodynamics and Particle Interactions #Quantum mechanics #Wave function #nucl-th
paper · pdf · doi:10.1103/physrevc.97.044612
published as Phys. Rev. C 97, 044612 (2018) · 9 pages, 5 figures
openalex created_date 2018/01/05 · arxiv created 2018/04/01 · openalex publication_date 2018/04/20 · arxiv updated 2018/04/25 · openalex updated_date 2026/08/06
Background: Proton-induced \ensuremathα-knockout reactions may allow direct experimental observation of \ensuremathα clustering in nuclei. This is obtained by relating the theoretical descriptions of clustering states to the experimental reaction observables. It is desired to introduce microscopic structure models into the theoretical frameworks for \ensuremathα-knockout reactions.Purpose: Our goal is to probe the \ensuremathα clustering in the 10Be nucleus by proton-induced \ensuremathα-knockout reaction observables.Method: We adopt an extended version of the Tohsaki-Horiuchi-Schuck-R"opke wave function of 10Be and integrate it with the distorted-wave impulse approximation framework for the calculation of (p,p\ensuremathα)-knockout reactions.Results: We make the first calculation for the 10Be(p,p\ensuremathα)6He reaction at 250 MeV by implementing a microscopic \ensuremathα-cluster wave function, and we predict the triple-differential cross section (TDX). Furthermore, by constructing artificial states of the target nucleus 10Be with compact or dilute spatial distributions, the TDX is found to be highly sensitive to the extent of clustering in the target nuclei.Conclusions: These results provide reliable manifestation of \ensuremathα clustering in 10Be.