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Nuclear Theory·nucl-th

Wednesday·July 9, 2025

8 papers—5 primary·3 cross-listed

All8Primary5Cross-lists3
  1. 01

    An intrinsic-state formalism for the Interacting Boson-Fermion Model with configuration mixing

    E. Maya-Barbecho · J.E. García-Ramos

    In this letter, we present the intrinsic state formalism of the Interacting Boson-Fermion Model incorporating both 0p-0h and 2p-2h (regular and intruder) configurations. The framework allows to deal with the unpaired fermion in either a single-j or multi-j orbital and is applicable to both axial and triaxial nuclear shapes. The formalism is applied to a schematic transitional region where regular and intruder configurations coexist and cross. We show that the boson-fermion part of the Hamiltonian can either enhance or suppress the emergence of a type II Quantum Phase Transition.

    nucl-thnucl-exPLB(2025)·3 citations
  2. 02

    Dynamical scheme for computing the mass parameter of a system in a medium

    Agata Zdanowicz · Daniel Pęcak · Piotr Magierski · Gabriel Wlazłowski

    We present a new method for extracting a mass parameter using time-dependent density functional theory for an arbitrary physical system, provided the adiabatic limit is achievable. This approach works for collective variables also in the presence of a medium, in particular for the nuclei interacting with a neutron background. We apply the method to extract mass parameters of impurities in the neutron star crust, like their inertial masses and quadrupole mass parameters. The extracted mass parameters at various depths of the inner crust are compared with other methods, including the hydrodynamic approach. The presented method opens avenues for the construction of an effective model of neutron star crust grounded in microscopic calculations.

    nucl-thastro-ph.HEcond-mat.supr-conPRC(2025)·1 citation
  3. 03

    Neural Unfolding of the Chiral Magnetic Effect in Heavy-Ion Collisions

    Shuang Guo🇨🇳 · Lingxiao Wang🇯🇵 · Kai Zhou🇨🇳 · Guo-Liang Ma🇨🇳

    The search for the chiral magnetic effect (CME) in relativistic heavy-ion collisions (HICs) is challenged by significant background contamination. We present a novel deep learning approach based on a U-Net architecture to time-reversely unfold the dynamics of CME-related charge separation, enabling the reconstruction of the physics signal across the entire evolution of HICs. Trained on the events simulated by a multi-phase transport model with different cases of CME settings, our model learns to recover the charge separation based on final-state transverse momentum distributions at either the quark-gloun plasma freeze-out or hadronic freeze-out. This devises a methodological tool for the study of CME and underscores the promise of deep learning approaches in retrieving physics signals in HICs.

    nucl-thhep-phnucl-exChin.Phys.Lett.(2025)·4 citations
  4. 04

    Revisiting nuclear states

    E. Friedman🇮🇱 · A. Gal🇮🇱

    Observing -nuclear quasibound states requires that the -nuclear potential is both sufficiently attractive and weakly absorptive, as confirmed by the CBELSA/TAPS collaboration analysis of inclusive production experiments on nuclear targets, including liquid hydrogen (LH). Here we present an alternative derivation of the -nuclear potential, constrained by near-threshold and production experiments on a free proton. The resulting -nuclear potential is weakly attractive and strongly absorptive, to the extent that observation of clear signals of -nuclear quasibound states is unlikely. Possible exceptions resulting from the dynamics of the nearby nucleon resonance (1895) are briefly discussed.

    nucl-thhep-phnucl-exPLB(2025)·3 citations
  5. 05

    Glauber predictions for oxygen and neon collisions at energies available at the LHC

    Constantin Loizides🇨🇭

    The Glauber model is a widely used framework for describing the initial conditions in high-energy nuclear collisions. TGlauberMC is a Monte Carlo implementation of this model that enables detailed, event-by-event calculations across various collision systems. In this work, I present an updated version of TGlauberMC (3.3), which incorporates recent theoretical developments and improved parameterizations, especially relevant for small collision systems. I focus on the oxygen-oxygen (OO), neon-neon (NeNe), and proton-oxygen (pO) collisions at the Large Hadron Collider (LHC) in July 2025, where precise modelling of nuclear geometry and fluctuations is essential. The updated version includes revised nuclear density profiles and an enhanced treatment of nucleon substructure. Geometrical cross sections for all relevant collision systems are calculated and initial-state observables are explored to provide predictions for particle production trends at =5.36 TeV. In particular, a prediction for the centrality dependence of mid-rapidity multiplicity in OO and NeNe collisions is obtained. The updated code is publicly available to support the heavy-ion community with a robust and flexible tool for studying strongly interacting matter in small and intermediate-sized nuclear systems.

    nucl-thhep-exhep-phnucl-exPRC(2026)·38 citations

Affiliations

first authorsco-authorsvia INSPIRE