158 papers
This paper demonstrates that gluon Bose enhancement in the nuclear wave function significantly increases the cross section for incoherent diffractive dijet production when the jets have equal and aligned transverse momenta, an effect that persists and is amplified by JIMWLK evolution in both dilute and dense regimes.
Using fully microscopic time-dependent Hartree-Fock simulations, this study reveals that the quasifission dynamics in the reaction are governed by a complex interplay between collision geometry and incident energy, where specific energy windows can suppress shell effects to potentially enhance the fusion probability for synthesizing superheavy element 119.
This study demonstrates that E0 transition strengths and their ratios serve as powerful constraints for narrowing the parameter space of the Interacting Boson Model, a methodology validated through its application to even-even Xe isotopes.
This paper provides a rigorous mathematical treatment of the Cornell potential to address the phenomenon of quark confinement within Quantum Chromodynamics.
This study employs a Bayesian inference framework combined with Markov Chain Monte Carlo sampling to develop a phenomenological model that reveals a significant suppressing effect of nuclear isospin asymmetry on -particle preformation probability in superheavy nuclei, thereby providing a high-precision theoretical tool for predicting decay half-lives and guiding future experimental exploration.
This study introduces a hybrid Bayesian neural network with an autoencoder framework integrated with the cosh potential to significantly improve the prediction accuracy and uncertainty quantification of the -particle preformation factor, successfully revealing nuclear shell effects and validating the stability of the predicted superheavy island near .
This paper proposes a centrifugal-corrected harmonic oscillator model, calibrated with experimental data and integrated with relativistic mean field theory, to accurately predict and analyze proton radioactivity half-lives in spherical nuclei while providing a robust framework for future nuclear structure research.
Using the deformed relativistic Hartree-Bogoliubov theory, this study reveals that in well-deformed odd- Bk isotopes, oblate shapes yield larger charge radii than prolate ones due to a central proton density depression caused by the non-occupation of the $3s_{1/2}$ orbital, thereby establishing a microscopic link between nuclear shape, single-particle occupancy, and nuclear size.
This study investigates the deformation properties of the Ru isotopes using Covariant Density Functional Theory and a phenomenological Bohr-Mottelson Hamiltonian, revealing a shape phase transition, evidence of shape coexistence and mixing among various configurations, and explaining -band staggering through these mixing effects.
This study utilizes a covariant statistical fireball model to analyze Au+Au collisions at RHIC energies, revealing that longitudinal flow induces a kinematic degeneracy that artificially elevates kinetic freeze-out temperatures above the QCD crossover limit, thereby suggesting large longitudinal velocities are physically disfavored, while simultaneously identifying a net baryon density maximum below 11.5 GeV enhanced by dynamical flow.
This study employs the triaxial projected shell model to systematically investigate high-spin band structures in odd-mass Nb and Tc nuclei, successfully identifying an unresolved fourth band in Nb as a second band arising from a configuration and predicting its properties across the isotopic chain.
This study employs the Gamow shell model in the coupled-channel representation to analyze the N(p,)O reaction, finding that while the theoretical model agrees well with experimental data, the resulting derived carbon and nitrogen abundances remain significantly lower than the values indicated by recent solar neutrino observations.
This paper introduces three optimized Garvey-Kelson mass relations tailored for predicting corner, central, and overall nuclear masses with high accuracy, demonstrating their potential to significantly improve machine learning-based mass models and extrapolation capabilities.
This study utilizes an improved multi-phase transport model to analyze Pb+Pb collisions at the LHC, finding that while anisotropic flow measurements can exclude large neutron skins in Pb, they exhibit a geometric degeneracy that limits their ability to precisely distinguish between zero and moderate neutron skin values.
Using an ab initio approach combining the multi-reference in-medium similarity renormalization group and the quantum-number projected generator coordinate method with chiral two- plus three-nucleon interactions, this study systematically reproduces the low-lying properties of neutron-rich nuclei around and delineates the specific boundaries of the island of inversion.
This paper demonstrates that -decay half-lives serve as a novel and effective probe for the emergent magic number , revealing a pronounced shell gap in Calcium and Potassium isotopes while indicating its absence in Argon and Chlorine.
This paper demonstrates that the Richardson-Lucy algorithm effectively reconstructs three-dimensional pion emission sources from heavy-ion collision data, revealing their sensitivity to the initial neutron skin thickness and establishing the method as a viable tool for probing neutron density distributions in heavy nuclei.
This paper investigates how rotation influences the anisotropic shear viscosity and electrical conductivity of strongly interacting matter by employing kinetic theory within Hadron Resonance Gas and Nambu-Jona-Lasinio models, revealing that rotation suppresses chiral condensates, generates a sizable Hall-like conductivity, and reduces transport coefficients relative to isotropic cases.
This study presents a precision measurement of bremsstrahlung gamma rays in Sn+Sn collisions at 25 MeV/u using the CSHINE spectrometer, establishing a robust experimental framework to extract a high momentum tail fraction of and demonstrating the feasibility of probing short-range correlations in low-energy heavy-ion reactions.
The JETSCAPE Collaboration employs Bayesian Inference with Active Learning to determine the jet transport parameter in the Quark-Gluon Plasma by simultaneously analyzing inclusive hadron and jet suppression data from RHIC and LHC, revealing systematic tensions that offer new insights into jet transport physics.