PaperPanorama

Nuclear Theory·nucl-th

Tuesday·March 17, 2026

9 papers4 primary·5 cross-listed

  1. 01

    [Submitted on 13 Mar 2026]

    Computing neutrino cross sections from Euclidian responses

    Alexis Nikolakopoulos🇺🇸 · Noemi Rocco🇪🇸

    Energy integrated neutrino cross sections are integrals of nuclear responses weighted with kinematic prefactors. We decompose the prefactors into a limited set of functions of energy transfer and show the relevant integrals are the moments of the responses, and integrals weighted with with . These can be directly obtained from the Euclidean response, avoiding the need for inversion of the Laplace transform. As a proof of concept we study the procedure with toy-model responses for the quasielastic peak. We show that the different contributions can be straightforwardly organized in terms of relative importance, and how flux-averaged cross sections can be obtained. Using a realistic model for the response and numerical uncertainty we show that it is feasible to obtain the required integrals from the Euclidean response, with large uncertainties only for the third moment. Due to kinematic restrictions, the integrals contain contributions from the unphysical region for neutrino scattering, coming from high-momentum nucleons. We show that (in the absence of two-body currents) robust corrections for this contamination are obtained from the single-nucleon momentum distribution. These results present an opportunity to compute certain neutrino cross sections with ab-initio methods with controlled uncertainties.

    Subjects:
    Nuclear Theory (nucl-th)
    arXiv:
    2603.13619 [pdf]
    0 citations
  2. 02

    [Submitted on 16 Mar 2026]

    A Note on the Consistent- Scheme for Odd-Odd Nuclei

    Xiao Tong Li · Xi Deng · Yu Zhang

    Compared with even-even nuclear systems, the dynamical structure of low-lying excited states in odd-odd nuclei poses significantly greater theoretical challenges. The interacting boson fermion fermion model provides an effective framework for capturing the structural properties of odd-odd nuclei. Within this algebraic framework, the consistent- scheme, which was widely used to map nuclear shape phase diagram, is extended to odd-odd systems to examine how unpaired nucleons influence level structures and their evolution across prototypical transitional regions. The results demonstrate that the presence of unpaired nucleons does not suppress the critical behavior characterizing level evolution across the U(5)-SU(3), U(5)-O(6) and SU(3)-O(6) shape transitions, suggesting that shape phase transitions remain a fundamental mechanism governing the low-lying structural evolution of odd-odd nuclei in the heavy and intermediately-heavy mass regions.

    Comments:
    5 page, 4 figures
    Subjects:
    Nuclear Theory (nucl-th)
    arXiv:
    2603.14932 [pdf]
    0 citations
  3. 03

    [Submitted on 16 Mar 2026]

    A systematic study of global spin polarizations and correlations of hadrons with different spins in relativistic heavy ion collisions

    Ji-peng Lv🇨🇳 · Zi-han Yu🇨🇳 · Xiao-wen Li🇨🇳 · Zuo-tang Liang🇨🇳

    Based on the formalism presented in [1], we make a systematic study of spin polarizations of hadrons with different spins including vector mesons, spin-1/2 and spin-3/2 hyperons and spin correlations of hadron-hadron such as hyperon-hyperon, hyperon-vector meson and vector meson-vector meson in relativistic heavy ion collisions. We present the results obtained and discuss the physical consequences in special cases. These results can be used for further numerical studies and for references of future experiments as well.

    Comments:
    21 pages
    Subjects:
    Nuclear Theory (nucl-th); High Energy Physics — Phenomenology (hep-ph)
    arXiv:
    2603.15135 [pdf]
    1 citation
  4. 04

    [Submitted on 16 Mar 2026]

    Bridging Theory and Data: Correcting Nuclear Mass Models with Interpretable Machine Learning

    Yanhua Lu · Tianshuai Shang · Pengxiang Du · Jian Li · Haozhao Liang

    Nuclear mass prediction is one of the core issues in nuclear physics research, yet it faces the challenge of small-sample datasets with high complexity. This study introduces the Kolmogorov-Arnold Network (KAN) into the refinement of nuclear mass models, proposing an efficient and interpretable solution. By constructing the KAN-WS4 hybrid model, the prediction accuracy is significantly improved (the root mean square error is reduced from 0.3 MeV to 0.16 MeV). Furthermore, leveraging the intrinsic interpretability of KAN, feature importance analysis reveals that the proton number is the most critical factor influencing residuals, indicating potential systematic biases in proton-related terms within existing theoretical models. The method's generality is demonstrated across five mass models. This study shows that KAN provides a novel approach to small-sample, high-complexity scientific problems. Its interpretability facilitates the data-driven discovery of physical laws, promising broad applicability to key nuclear physics issues.

    Comments:
    10 pages, 4 figures
    Subjects:
    Nuclear Theory (nucl-th)
    arXiv:
    2603.15203 [pdf]
    1 citation

Affiliations

first authorsco-authorsvia INSPIRE