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Nuclear Theory·nucl-th

Monday·July 28, 2025

17 papers—6 primary·11 cross-listed

All17Primary6Cross-lists11
  1. 01

    Bayesian optimization and nonlocal effects method for decay of superheavy nuclei based on CPPM

    Xuanpeng Xiao · Panpan Qi · Gongming Yu · Haitao Yang · Qiang Hu

    We combine nonlocal effects with Bayesian Neural Network (BNN) methods to enhance the prediction accuracy of decay half-lives. The results indicate that accounting for nonlocal effects significantly impacts the half-life calculations, while the BNN method markedly improves prediction accuracy and demonstrates strong extrapolation capabilities. Furthermore, we discuss the impact of nuclear deformation (the quadrupole deformation factor ) on machine learning predictions. Through Shapley Additive Explanations (SHAP), we conducted a quantitative comparison of six input features within the BNN, revealing that the decay energy is the primary driving factor affecting the half-life . Leveraging the remarkable extrapolation ability of the BNN, we successfully predicted the decay half-lives of the isotope chain (), uncovering a significant shell effect at neutron number . For the isotopic chains (), the predicted decay half-lives and values satisfy the Geiger-Nuttall (G-N) linear relationship. This result further confirms the predictive reliability of the proposed model. Keywords: decay, half-lives, nonlocal effects, Bayesian Neural Network, Coulomb and proximity potential model

    nucl-thPhys.Scripta(2026)·0 citations
  2. 02

    Classification of flavor dependence of Chiral Magnetic Effect with Deep Neural Network using multiple correlators

    Somdeep Dey🇮🇳 · Abhisek Saha🇨🇳 · Soma Sanyal🇮🇳

    We study the flavor dependence of the Chiral Magnetic Effect (CME) by analyzing two key charge-separation correlators used to characterize the charge separation effect: the conventional and the recently proposed . Using the AMPT (A Multiphase Transport) model with an initial-state centrality-dependent charge separation, we evaluate the sensitivity of these correlators to 2-flavor () and 3-flavor () quark scenarios. While both correlators exhibit modest flavor dependence in mid-central (30-50\%) collisions, their discriminative power varies significantly with centrality and transverse momentum (), limiting their utility disentangling the flavor dependent scenarios. To overcome these limitations, we develop a neural network classifier trained on final-state hadronic observables (e.g., , spectra). The model achieves accuracy in flavor classification by leveraging multi-observable correlations, with -differential features proving particularly discriminative. Crucially, by incorporating background contributions directly into the training data, our approach provides more reliable flavor estimates than correlator-only methods.

    nucl-thhep-phnucl-exPRC(2026)·2 citations
  3. 03

    Non-Efimovian two-neutron halos with an -wave core-neutron resonance

    Lucas Platter · Dam Thanh Son

    We consider two-neutron halo nuclei in which the neutron core subsystem displays a resonance close to threshold. Such resonances can be generated in an effective field theory in which the scattering length and effective range are summed to all orders. We show that no three-body parameter is required to make predictions in this case and map out the universal features of such systems. We furthermore study the dependence of these universal features on the core mass. We apply our framework to the two-neutron halo nucleus C.

    nucl-th2 citations
  4. 04

    Evaluation of the Moments of Inertia of Forced Split Fragments for Nuclei 232Th(n,f) and 238U(n,f)

    D.E. Lyubashevsky · P.V. Kostryukov · J.D. Shcherbina · T.Yu Shashkina · S.V Klyuchnikov

    This paper discusses modern methods for estimating the moments of inertia of fragments formed during forced fission of the isotopes 232Th(n,f) and 238U(n,f). The study analyzes two fundamental approaches -- statistical and microscopic. Special attention is given to their implementation within both classical and superfluid models, enabling a more detailed description of nuclear dynamics during fission. Various physical factors influencing the calculation of moments of inertia are examined, including transverse vibrational modes and nucleon exchange mechanisms. These effects significantly impact spin distributions and the interpretation of experimental data. The analysis also addresses the role of nuclear models that vary with fragment deformation, allowing key regularities in internal structure to be identified. Emphasis is placed on comparing theoretical predictions with experimental results, which remain essential for model validation. This approach not only deepens understanding of fission mechanisms but also supports the broader study of fundamental nuclear properties.

    nucl-thCPC(2026)·0 citations
  5. 05

    Adressing the p{\Omega}- interaction and di-baryonic states via femtoscopy

    Marta Piscitelli · Otón Vázquez Doce

    Motivated by recent experimental measurements of the p correlation function and the concurrent theoretical efforts to describe the strong interaction among hadrons in the strangeness sector, we present a data-driven approach for fine tuning of a meson-exchanges potential for the p system. Using femtoscopy data from the ALICE and STAR collaborations, we constrain the strength of the interaction, encoded in the tunable short-range parameter introduced in the potential. The resulting model provides a good description of the measured correlation functions and favors the existence of a bound state in the \({}^5S_2\) channel with a binding energy of approximately \(0.5\,\mathrm{MeV}\). The role of the \({}^3S_1\) channel, however, remains poorly constrained due to the absence of an accurate model accounting for its inelastic contributions.

    nucl-thnucl-exPoS(2026)·1 citation
  6. 06

    Modeling direct and pre-equilibrium processes of neutron-induced reactions with noniterative finite amplitude method and distorted-wave Born approximation

    Hirokazu Sasaki🇺🇸 · Toshihiko Kawano🇺🇸 · Marc Dupuis🇫🇷

    We develop a calculation method for describing the direct and pre-equilibrium processes in neutron-induced reactions based on the framework of noniterative finite amplitude method (FAM) and distorted-wave Born approximation (DWBA). The noniterative FAM is used to derive equations of quasiparticle random-phase approximation (QRPA) for neutron-induced inelastic scatterings to both the discrete and continuum states in a consistent manner. The Skyrme force is employed as an interaction between the projectile neutron with nucleons inside the target nucleus. We apply this method to the neutron-induced reaction on 208Pb. We demonstrate that the calculated differential inelastic scattering cross sections to low-lying states reproduce available experimental data without any phenomenological parameters that are often introduced in conventional DWBA calculations. The calculated double differential cross section to the continuum state also agrees with the experimental data in the energy region relevant to the direct and pre-equilibrium processes. These results are used to investigate the spin distribution of the populated states in the residual nucleus.

    nucl-thastro-ph.HEnucl-exPRC(2025)·1 citation

Affiliations

first authorsco-authorsvia INSPIRE