Proton-neutron Interacting Boson Model Explains Anomalous Collective Modes with Ratios Less Than 1.0

The behaviour of atomic nuclei, particularly their collective vibrations, continues to reveal surprising complexities, and recent observations have highlighted unusual vibrational modes where energy ratios fall below expected values. Wei Teng, Yu Zhang, and Sheng-Nan Wang, from Liaoning Normal University, alongside Feng Pan, Chong Qi, and J. P. Draayer, now explain these anomalous modes within a well-established theoretical framework, the proton-neutron interacting boson model. Their work identifies the underlying mechanisms responsible for these unusual vibrations, demonstrating how they generate distinctive triaxial features in the nucleus’s energy spectrum and cause significant mixing between different energy bands. This achievement provides a compelling explanation for the suppressed energy ratios observed in nuclei such as tungsten, osmium, and platinum, offering crucial new insights into the behaviour of neutron-deficient nuclei and advancing our understanding of nuclear structure.

Boson Model Analysis of Nuclear Collective Modes

Scientists have developed a sophisticated analysis within the interacting boson model to investigate unusual collective vibrations observed in atomic nuclei, focusing on modes exhibiting a ratio less than 1. 0, a deviation from expected behaviour. Researchers employed a consistent-Hamiltonian approach and defined a potential energy function, dependent on the shape of the nucleus, to map the energy landscape and identify stable configurations. To determine this potential energy, they calculated expectation values of interaction terms, resulting in expressions for single-particle and two-particle contributions, with the quadrupole-quadrupole interaction proving particularly complex.

This analysis revealed that, for specific parameter values, the system exhibits two degenerate minima in the potential energy landscape, corresponding to distinct shapes connected by a shallow potential valley, indicating a degree of softness. Researchers derived expressions for the optimal shape parameters at these minima, demonstrating that the product of the shape parameters for protons and neutrons remains constant, and calculated the energy gap between the potential valley and the ground state, providing a quantitative measure of the barrier height separating the two degenerate minima. This detailed analysis provides insights into the origins of the observed anomaly in certain neutron-deficient nuclei and establishes a framework for understanding the complex interplay of collective modes within the nucleus.,.

Suppressed Quadrupole Ratios Explained by Boson Model

Scientists have identified novel collective modes within the interacting boson model, characterized by a ratio of transition probabilities less than 1. 0, providing a compelling explanation for deeply suppressed ratios observed in specific neutron-deficient nuclei, including tungsten, osmium, and platinum. The work extends the established interacting boson model to explicitly distinguish between proton and neutron degrees of freedom, allowing for a more nuanced understanding of nuclear collectivity. The team employed a consistent-Q Hamiltonian, a method that captures essential features of low-lying quadrupole collective states, to investigate whether unconventional modes with a ratio less than 1.

0 can be identified. The results demonstrate that these novel collective modes give rise to triaxial spectral features, including significant band mixing, challenging the conventional understanding of nuclear structure, and confirm that the ratio, typically greater than 1. 0 in collective nuclei, can be significantly suppressed to values less than 1. 0 through these newly identified modes. This finding is particularly significant because previous analyses required the inclusion of high-order interaction terms to achieve similar results, and the ability to generate these suppressed ratios using only quadrupole-quadrupole interactions represents a substantial advancement in understanding the underlying physics of these neutron-deficient nuclei.,.

Triaxial Modes Explain Nuclear Ratio Anomaly

This research successfully identifies novel collective modes within the interacting boson model, characterized by a ratio less than 1. 0, and demonstrates their connection to triaxial spectral features and significant band mixing. The team’s calculations provide a compelling explanation for the suppressed ratio observed in specific neutron-deficient nuclei, offering new insights into a long-standing anomaly in nuclear physics. By employing a consistent Hamiltonian, scientists have linked these exotic modes to strong band mixing, effectively addressing the puzzle of the observed ratio. The findings support a previously established perspective, while offering an alternative approach that distinguishes between protons and neutrons. Researchers acknowledge that variations in parameter tuning across different models lead to quantitative differences in results, particularly concerning excitation energies of specific nuclear states, and that future measurements, informed by these discrepancies, may further refine the understanding of these complex nuclear structures and validate the model’s predictions. The research provides a valuable theoretical description of available data, opening avenues for further investigation into the behaviour of triaxial nuclei.

👉 More information
🗞 Anomalous collective modes in atomic nuclei within the proton-neutron interacting boson model
🧠 ArXiv: https://arxiv.org/abs/2512.09272

Rohail T.

Rohail T.

As a quantum scientist exploring the frontiers of physics and technology. My work focuses on uncovering how quantum mechanics, computing, and emerging technologies are transforming our understanding of reality. I share research-driven insights that make complex ideas in quantum science clear, engaging, and relevant to the modern world.

Latest Posts by Rohail T.:

Llm Test Generation Achieves 20.92% Coverage with Newer Large Language Models

Llm Test Generation Achieves 20.92% Coverage with Newer Large Language Models

January 21, 2026
Machine Learning Achieves Accurate Prediction of Hubble ACS/SBC Background Variation Using 23 Years of Data

Machine Learning Achieves Accurate Prediction of Hubble ACS/SBC Background Variation Using 23 Years of Data

January 21, 2026
AI Job Anxiety Confirmed in 25 Computer Science Students, Driving Adaptive Strategies

AI Job Anxiety Confirmed in 25 Computer Science Students, Driving Adaptive Strategies

January 20, 2026