PaperPanorama

Nuclear Theory·nucl-th

Friday·August 16, 2024

5 papers3 primary·2 cross-listed

  1. 01

    Collective behaviour in proton number fluctuations seen in 2.4 GeV Au+Au collisions

    Ali Bazgir🇵🇱 · Maciej Rybczynski🇵🇱 · Uzair A. Shah🇵🇱 · Zbigniew Wlodarczyk🇵🇱

    At energies of a few GeV per nucleon, nuclear collisions exhibit phenomena more complex than the individualistic nucleon interactions observed at much higher energies. From recent results on proton number fluctuations in Au + Au collisions at ~GeV obtained by the HADES experiment at GSI, we suggest that measuring the multiplicity distributions heavy-ion collisions can be used to probe density fluctuations associated with correlation phenomena. By using the combinant analysis, one can obtain new information contained in them and otherwise unavailable, which may broaden our knowledge of the particle interactions mechanism.

    nucl-thhep-phnucl-exPLB(2024)·0 citations
  2. 02

    Ab initio computations from Ni towards Ca along neutron number

    B. S. Hu · Z. H. Sun · G. Hagen · G. R. Jansen · T. Papenbrock

    We present coupled-cluster computations of nuclei with neutron number "south" of Ni using nucleon-nucleon and three-nucleon forces from chiral effective field theory. We find an erosion of the magic number toward Ca manifesting itself by an onset of deformation and increased complexity in the ground states. For Ni, we predict a low-lying rotational band consistent with recent data, which up until now has been a challenge for ab initio nuclear models. Ground states are deformed in Fe, Cr, and Ti, although the spherical states are too close in energy to unambiguously identify the shape of the ground state within the uncertainty estimates. In Ca, the potential energy landscape from quadrupole-constrained Hartree-Fock computations flattens, and the deformation becomes less rigid. We also compute the low-lying spectra and values for these neutron-rich nuclei.

    nucl-thnucl-exPLB(2024)·18 citations
  3. 03

    A Complex Scaling Method for Efficient and Accurate Scattering Emulation in Nuclear Reactions

    Junzhe Liu · Jin Lei · Zhongzhou Ren

    We present a novel scattering emulator utilizing the complex scaling method to enhance nuclear reaction analysis. This approach leverages a single set of reduced bases, allowing for efficient and simultaneous emulation across multiple channels and potential parameters, significantly reducing computational storage and accelerating calculations. Demonstrated through \(n\)+\(^{40}\)Ca and \(^{11}\)Be+\(^{64}\)Zn elastic scattering, our method achieves high accuracy and efficiency. This emulator exhibits stable and reliable performance without anomalies inherent in other techniques, showcasing its robustness.

    nucl-thPLB(2024)·14 citations
  4. 04

    Collision Energy Dependence of Particle Ratios and Freeze-out Parameters in Ultra Relativistic Nucleus Nucleus Collisions

    Iqbal Mohi Ud Din (1)🇮🇳 · Sameer Ahmad Mir (1)🇮🇳 · Nasir Ahmad Rather (1)🇮🇳 · Saeed Uddin (1)🇮🇳 · Rameez Ahmad Parra (2) ((1) Jamia Millia Islamia (2) University of Kashmir)🇮🇳

    This work investigates the thermo-chemical freeze-out condition of the multi-component hot and dense hadron resonance gas (HRG) formed in the ultra-relativistic nucleus-nucleus collisions (URNNC). The van der Waals (VDW) type model used in the present analysis incorporates the repulsive as well as attractive interactions among the hadrons. The baryons (antibaryons) are treated as incompressible objects. Using this theoretical approach the values of the model freeze-out parameters of the system are extracted over a wide range of collision energy by analyzing experimental data on like-mass antibaryon to baryon ratios. The same set of parameters is found to explain the energy dependence of several other particle ratios quite satisfactorily. We find that the horn-like structures seen in the ratios of strange particles to pions as a function of the collision energy cannot be explained by the VDW-HRG model alone without considering the strangeness imbalance effect in the system. We have compared our freeze-out line with those obtained earlier. The correlation between the and ratios is also examined.

    hep-phnucl-thNPA(2025)·9 citations
  5. 05

    Bayesian Inference analysis of jet quenching using inclusive jet and hadron suppression measurements

    R. Ehlers🇺🇸 · Y. Chen🇺🇸 · J. Mulligan🇺🇸 · Y. Ji🇺🇸 · A. Kumar🇨🇦 · S. Mak🇺🇸 · P. M. Jacobs🇺🇸 · A. Majumder🇺🇸 · A. Angerami🇺🇸 · R. Arora🇺🇸 · S. A. Bass🇺🇸 · R. Datta🇺🇸 and 41 other authors

    The JETSCAPE Collaboration reports a new determination of the jet transport parameter in the Quark-Gluon Plasma (QGP) using Bayesian Inference, incorporating all available inclusive hadron and jet yield suppression data measured in heavy-ion collisions at RHIC and the LHC. This multi-observable analysis extends the previously published JETSCAPE Bayesian Inference determination of , which was based solely on a selection of inclusive hadron suppression data. JETSCAPE is a modular framework incorporating detailed dynamical models of QGP formation and evolution, and jet propagation and interaction in the QGP. Virtuality-dependent partonic energy loss in the QGP is modeled as a thermalized weakly-coupled plasma, with parameters determined from Bayesian calibration using soft-sector observables. This Bayesian calibration of utilizes Active Learning, a machine--learning approach, for efficient exploitation of computing resources. The experimental data included in this analysis span a broad range in collision energy and centrality, and in transverse momentum. In order to explore the systematic dependence of the extracted parameter posterior distributions, several different calibrations are reported, based on combined jet and hadron data; on jet or hadron data separately; and on restricted kinematic or centrality ranges of the jet and hadron data. Tension is observed in comparison of these variations, providing new insights into the physics of jet transport in the QGP and its theoretical formulation.

    hep-phnucl-exnucl-thPRC(2025)·56 citations

Affiliations

first authorsco-authorsvia INSPIRE