A. N. Sil, G. Barik, S. Dutta, S. Mondal, J. K. Saha, T. K. Mukhopadhyay
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引用次数: 0
Abstract
The impact of the dense quantum plasma on the bound (1sns; \(^1\)S\(^e\)) [\(n=1-5\)] and a few low-lying doubly excited resonance (2sns, 2pnp; \(^1\)S\(^e\)) [\(n=2-3\)] states of various two-electron highly charged He-like C\(^{4+}\), Mg\(^{10+}\), Al\(^{11+}\), Si\(^{12+}\), S\(^{14+}\) and Ar\(^{16+}\) ions has been studied using an explicitly correlated multi-exponent Hylleraas type basis set under the framework of Ritz variational method. Utilizing the state-of-art stabilization technique, the bound states properties and the resonance parameters (energy and width) are determined under different plasma conditions. Ionization potential depression with respect to the plasma screening length is rigorously investigated for both the bound and resonance states. The width (or the lifetime) of the resonance states originating from different electronic configurations follows unique patterns with respect to the plasma screening length. Most of the data for the resonance parameters are being reported here for the first time in the literature.
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).