Mansour Farhadi, S. Mohammad Moosavi Nejad, A. Armat
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引用次数: 0
Abstract
So far, many constituent quark models have been applied to describe the internal configuration of light and heavy baryons and also for determining their static properties Among all static quantities, the mass and the magnetic moment of baryons are the most interesting observables which provide direct information on the dynamics of strong interaction and color confinement phenomenon. In this work, through the quark–diquark model we analytically compute the mass and the magnetic moment of light and heavy baryons in their ground state. To this aim, we use the Bethe–Salpeter equation in the presence of Hellmann potential with the onepionexchange contribution to determine the mass and the wave function of baryons. Using the spin-flavor structure of constituent quarks we calculate the magnetic moment of light, single and double heavy baryons and compare them with existing data and other modeldependent predictions. We will also predict the mass and the magnetic moment of unobserved triply heavy baryons relevant for the present and future high energy colliders.
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).