LXXV International Conference «NUCLEUS – 2025. Nuclear physics, elementary particle physics and nuclear technologies»

Data-driven refinement of microscopic $\gamma$-ray strength functions for Nd isotopes

2 Jul 2025, 11:50

20m

70(2013) (Санкт-Петербургский Государственный Университет )

Oral Section 1. Experimental and theoretical studies of nuclei. 1. Experimental and theoretical studies of nuclei

Speaker

Mehdi Nasri Nasrabadi (Faculty of Physics, University of Isfahan, 81746-73441, Isfahan, Iran; Joint Institute for Nuclear Research, 141980, Dubna, Russia)

Description

The $\gamma$-ray strength function ($\gamma$SF) is one of the most important nuclear properties, describing the probability of gamma-ray emission or absorption as a function of energy and plays an important role in understanding nuclear reactions [1, 2]. That's why extensive efforts have been made over the past decades to develop numerous phenomenological and microscopic models for $\gamma$SF [3, 4]. While microscopic models offer a more fundamental description, they often struggle to precisely reproduce experimental $\gamma$SF data [5-9]. To address this problem, a correction method for $\gamma$SF using some adjustable parameters to improve the model predictions against experimental data has been implemented in the TALYS nuclear reaction code [4]. This work determines the optimal values of these parameters for microscopic GSF models for neodymium (Nd) isotopes by analyzing existing experimental $\gamma$SF data for investigating the photonuclear reactions. The results demonstrate that by applying these adjustable parameters, the predictive accuracy of microscopic models for radiative neutron capture and photonuclear reaction cross-sections can be significantly improved. This improvement has important implications for various fields in nuclear physics and technology.

Keywords: Gamma-ray Strength Function, Microscopic Models, Data-Driven Refinement

References

1. M. Sepiani and M.N. Nasrabadi, "Validity analysis of $\gamma$-ray strength function models for radiative capture reactions of heavy nuclei," International Journal of Modern Physics E, p. 2441004, 2024.
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