PaperPanorama

Nuclear Experiment·nucl-ex

Wed·Jul 9, 2025

5 papers0 primary·5 cross-listed·reconstructed*

  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*

    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
  3. 03*

    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
  4. 04*

    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
  5. 05*

    High-Dimensional Unfolding in Large Backgrounds

    Alexandre Falcão🇳🇴 · Adam Takacs🇩🇪

    We propose new methodologies in multi-dimensional unfolding in dense environments, and show that incorporating auxiliary observables can significantly improve performance. Our approach builds on the ML-based OmniFold algorithm, which we extend to account for background, detector acceptance, efficiency, and uncertainties, enabling its application in high-luminosity and heavy-ion collision settings. We derive this algorithm and demonstrate its mathematical and numerical equivalence to expectation-maximization and Iterative Bayesian Unfolding (IBU). We illustrate our method with a realistic jet substructure analysis incorporating both large background and detector simulation. Our analysis includes up to 18 observables, leading to significantly improved performance in the unfolding. We propose a method that integrates calibration and unfolding into a single, consistent framework, and demonstrate enhanced performance relative to traditional methods. These developments lay the groundwork for robust, high-dimensional, ML-based unfolding and calibration in complex collider environments across a wide range of analyses.

    hep-phhep-exnucl-exnucl-thJHEP(2026)·7 citations

* Reconstructed cohort: no mailing for this day survives in the archive. Papers are grouped by their submission times and arXiv's announcement cut-off, assuming announcement without delay; positions follow identifier order. Validated at ~91% exact-day agreement against the archived era.