Neutron star matter with hyperons: Bayesian comparison of nucleonic and SU(6)/SU(3) hyperonic modelsWe investigate neutron star matter with hyperons within a density-dependent relativistic mean-field framework using Bayesian inference, considering three composition scenarios: purely nucleonic…Athira S., Vishal Parmar, Monika Sinha et al.·Aug 21, 2026·Top 61%SaveLearn
Fresh Look at Polarized Deuterons at the Nuclotron/NICA \& HIAF and BeyondBeing a spin-1 particle, the deuteron, when polarized, offers access to a wide range of interesting tensor observables. A quest for tensor asymmetries is at the heart of the spin physics with…B. Gou, V. P. Ladygin, N. N. Nikolaev et al.·Aug 21, 2026·Top 58%SaveLearn
Evaluation of Phenomenological Characteristics of the Two-Proton Decay of the 45Fe NucleusA Green-function formalism describing sequential and virtual two-proton (2p) radi-oactivity is developed on the basis of the multiparticle theory of one-proton decay. In the proposed approach,…D. E. Lyubashevsky, S. G. Kadmensky, J. D. Shcherbina·Aug 21, 2026·Top 55%SaveLearn
Thermodynamically Consistent Merging of Multidimensional QCD Equations of StateWe present a thermodynamically consistent framework for merging complementary models into a multidimensional QCD equation of state. An internal mixing variable is determined by minimizing a single…Prachi Garella, Yumu Yang, Musa R. Khan et al.·Aug 20, 2026·Top 17%SaveLearn
Trace Anomaly and Effective Topological Sources in Neutron StarsThis work investigates whether the trace anomaly can diagnose the stellar response to a topological scalar field in tensor multi-scalar gravity. Eleven cold tabulated equations of state (EoSs) were…Federico Nola·Aug 20, 2026·Top 53%SaveLearn
Correspondence between hydrodynamic frames, transport coefficients, and hydrodynamic modes in relativistic fluidsThe choice of hydrodynamic frame directly influences the numerical values of transport coefficients in relativistic dissipative hydrodynamics. We derive the exact transformation between the Eckart…Md Hasanujjaman, Mahfuzur Rahaman·Aug 20, 2026·Top 11%SaveLearn
Size and Distance Scales in the Nucleon and in Dense Baryonic MatterThis memorial tribute to Mannque Rho follows a line of thoughts and ideas that he continuously inspired and shaped over many decades: from the two-scales picture of low-energy nucleon structure to…Wolfram Weise·Aug 20, 2026SaveLearn
Proton emission half-lives and shape coexistence for 71 ≤ Z ≤ 83 odd-Z nucleiOne-proton emission is a direct probe of nuclear structure near the proton drip line and plays a critical role in understanding exotic decay modes and nucleosynthesis processes. In this study, we…Yongbeom Choi, Chang-Hwan Lee, Youngman Kim·Aug 20, 2026·Top 65%SaveLearn
Symmetries of QCD and their relevance for low-energy nuclear physicsQCD, the theory of the strong interactions, is formulated in terms of quarks and gluons, while low-energy nuclear physics deals with hadrons such as protons, neutrons, and pions. Symmetries establish…Matthias R. Schindler·Aug 19, 2026SaveLearn
Balancing theory uncertainties in ab initio nuclear structure calculations: Many-body truncation versus finite basis sizeFirst-principles calculations of atomic nuclei are necessarily incomplete as the Schrödinger equation is solved using approximate methods and due to the finite dimension of the employed Hilbert…L. Zurek, U. Vernik, P. Demol et al.·Aug 19, 2026·Top 39%SaveLearn
Toward testing antinucleonx2013nucleus optical potentials with antineutron scattering lengthsThe antineutronx2013nucleus scattering length is currently known only indirectly, via antiprotonx2013nucleus optical potentials fitted to level shifts and widths of…Hiroyuki Fujioka, Sayaka Ishii·Aug 19, 2026·Top 62%SaveLearn
Reaction Cross Sections and α-Cluster Geometry in 12C and Be IsotopesReaction cross sections σ R are widely used to infer matter radii, yet their sensitivity to nuclear structure beyond radial one-body distributions is less well understood. We combine complete…Tianyu Wu, Baohua Sun, Ulf-G. Meißner et al.·Aug 19, 2026·Top 13%SaveLearn
Comparison of several model averaging methods in nuclear charge radius predictionsThe performance of five model averaging methods, including the arithmetic mean (AM), weighted mean (WM), naive Bayesian model averaging (NBMA), principal component analysis (PCA), and power-moderated…Huan-Yu Zhang, Rui Jing, Zhen-Hua Zhang et al.·Aug 19, 2026·Top 92%SaveLearn
Confining density functional approach to the QCD phase diagram at low temperatures and thermal twin starsWe present a density functional-based equation of state for warm, dense nuclear matter with a transition to deconfined quark matter for applications to simulations of supernova explosions and neutron…David Blaschke, Oleksii Ivanytskyi·Aug 18, 2026·Top 24%SaveLearn
The elliptic wind on jet wakes in high-energy heavy-ion collisionsEnergy loss by fast partons induces a Mach-cone-like medium response as they propagate inside the hot quark-gluon plasma (QGP) in high-energy heavy-ion collisions. Because the QGP is nonuniform and…Kai-Yi Wu, Zhong Yang, Xin-Nian Wang·Aug 18, 2026·Top 72%SaveLearn
Symbolic Regression for Interpretable Emulation of Proton Collective Flow in Intermediate-Energy Heavy-Ion CollisionsSymbolic regression provides an interpretable machine-learning approach for constructing explicit analytic relations between physical inputs and observables. In this work, we develop…Nicholas Cox, Xavier Grundler, Bao-An Li·Aug 18, 2026·Top 94%SaveLearn
Data-Driven Statistical Ensembles of Chiral Nuclear InteractionsRecent advances in ab initio nuclear theory, machine learning, and Bayesian inference, coupled with increasingly precise nuclear experiments and astrophysical observations, have enabled more robust…Pengsheng Wen, Jeremy W. Holt·Aug 18, 2026·Top 7%SaveLearn
Generative artificial intelligence for reconstructing neutron-star matterNeutron-star cores hold the only known matter in the universe that is simultaneously cold and strongly interacting, compressed beyond nuclear density into a state of unknown composition. The equation…Julia Yu. Panteleeva, Herzallah Alharazin, Evgeny Epelbaum·Aug 18, 2026·Top 10%SaveLearn
Implementation of the Moments Method in TALYS: Sensitivity of 56,57Fe(n,γ) observables to shell model nuclear level densitiesThe Moments Method (MM), a statistical spectroscopy framework built upon configuration interaction shell model Hamiltonians that enables shell model descriptions of nuclear level densities without…Lucas Chouinard, Sofia Karampagia·Aug 17, 2026·Top 79%SaveLearn
Nuclear Drip Line and the Composition of Supernova MatterThe nuclear drip line plays a crucial role in determining the composition of matter under extreme astrophysical conditions. In core-collapse supernovae and neutron-star crusts, matter is driven far…S. Maity, S. Mallik·Aug 17, 2026·Top 54%SaveLearn
Ab initio evidence for surface-dominated antiproton annihilation in 4 HeLow-energy antiproton beams at CERN/AD open the possibility of probing exotic nuclear structure through annihilation at the nuclear surface. The use of antiprotons as the probe for the nuclear…Alireza Dehghani, Guillaume Hupin, Sofia Quaglioni et al.·Aug 17, 2026SaveLearn
Probing Vortex γ Photons via Nuclear Resonance FluorescenceHigh-energy vortex γ photons offer unique prospects in nuclear physics, astrophysics, and strong-field physics, owing to their distinctive topological structure. Yet, their hallmark effects are…H. L. Chen, Y. F. Niu, F. Q. Chen·Aug 17, 2026SaveLearn
Scalable nuclear shell model calculations on noisy quantum computersThe exact diagonalization of the nuclear shell model scales exponentially, leading to severe memory bottlenecks in classical high-performance computing (HPC). While hybrid quantum algorithms like the…Durgesh Pandey, Ankit Kumar Das, P. Arumugam·Aug 17, 2026·Top 16%SaveLearn
Origin and limits of intermediate-mass dilepton thermometryWe identify the physical origin and limits of intermediate-mass dilepton thermometry in relativistic heavy-ion collisions. Using a controlled expanding-fireball framework with thermal dilepton rates,…Lipei Du·Aug 17, 2026·Top 22%SaveLearn
Deep-learning classification of physically admissible nuclear-matter equations of stateThermodynamic stability and causality impose fundamental constraints on the equation of state (EoS) of nuclear matter. Verifying these constraints conventionally requires calculating quantities such…Ahmed Abuali, Micheal Kahangirwe, Francesco Di Clemente et al.·Aug 17, 2026·Top 84%SaveLearn