Igor Filikhin, Yury B. Kuzmichev, Branislav Vlahovic
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引用次数: 0
Abstract
We consider the \(^{3}\hbox {H}\) nucleus within the AAA model that includes mass identical particles interacting through a phenomenological nuclear potential. We extend the three-nucleon Hamiltonian \(\beta {\widehat{{H}}}_{0}+{V}_{nucl.}\) using the parameter \(\beta =m_{0}/{m^*}\) that determines the variations \(m^*\) of the averaged nucleon mass \(m_{0} = (m_{n} + m_{p})/2\). It was found that the \(^{3}\hbox {H}\) binding energy is a linear function of the mass \({m^*}/m_0\) when it changes within the ranges \(0.9{<}{m^*}{/m}_{0}{<}1.25\). Thus, the relation between energy and mass is expressed by an analogy to the well-known formula \(E=mc^{2}\). This effect takes a place in small vicinity around the experimentally motivated value of the nucleon mass due to Taylor expanding the general relation \(E\sim 1/m\). The equivalent mass of a nucleon, defined by using this energy-mass dependence, can phenomenologically describe the effect of the proton/nucleon mass difference on 3N binding energy.
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).