1145 papers
Nuclear theory sits at the fascinating intersection of particle physics and the forces that hold our universe together. This field explores how protons and neutrons bind inside atomic nuclei, seeking to understand the fundamental interactions that govern matter at its most dense and energetic levels. While the mathematics involved can be incredibly complex, the core questions are deeply human: how does the universe function at its smallest scales, and what happens when we push matter to its limits?
At Gist.Science, we make these cutting-edge discoveries accessible by processing every new preprint published in this category on arXiv. Our team transforms dense academic manuscripts into clear, plain-language summaries alongside detailed technical overviews, ensuring that both experts and curious readers can grasp the latest breakthroughs without getting lost in the jargon. Below are the latest papers in nuclear theory, distilled and ready for you to explore.
This paper demonstrates that cluster effective field theory, when combined with machine learning optimization techniques like Differential Evolution and Markov chain Monte Carlo, provides a reliable and systematic framework for accurately analyzing low-energy elastic -C scattering data relevant to stellar evolution and nucleosynthesis.
This paper reviews the current status of experimental searches for the chiral magnetic effect in relativistic heavy ion collisions, examining the observables and background mitigation techniques used while highlighting the lack of conclusive evidence due to significant background contributions and outlining future prospects.
This paper investigates self-bound quark stars using a flavor-dependent quark-mass density-dependent model with excluded-volume corrections, demonstrating that a first-order two-to-three flavor phase transition can produce hybrid stars consistent with the mass constraint while exhibiting distinct structural features and equation-of-state-insensitive trends useful for multimessenger discrimination.
This paper presents next-to-next-to-leading order (NNLO) QCD evaluations of proton and pion mass decompositions using gravitational form factors, comparing standard quark/gluon and trace-anomaly breakdowns with a novel twist-two/twist-four separation to demonstrate its advantages and reveal distinct parton-correlation behaviors between the two hadrons.
This paper presents a full Glauber-theory analysis of elastic and total reaction cross sections for various collisions on a C target using realistic variational Monte Carlo wave functions and Monte Carlo integration, demonstrating the method's accuracy against experimental data while evaluating the limitations of conventional approximate approaches.
This paper introduces a novel many-body truncation for Gorkov self-consistent Green's function theory that combines first-order pairing correlations with third-order particle-number-conserving dynamical correlations to accurately predict the equation of state and spectral properties of infinite nuclear matter using modern chiral effective field theory Hamiltonians.
The paper predicts that anomalous proton number fluctuations observed in heavy-ion collisions around a center-of-mass energy of 10 GeV serve as a signature for the onset of deconfinement, offering a unified explanation for experimental data from both RHIC and the CERN SPS.
This paper demonstrates that a dimensionless, scaled transverse-momentum spectrum exhibits universal behavior across heavy-ion collision conditions, serving as a powerful new probe that reveals collective dynamics and provides independent constraints on quark-gluon plasma properties through Bayesian analysis.
This paper investigates the in-medium properties of the meson with finite momentum in nuclear matter, revealing that while transverse polarization mass shifts remain momentum-independent, longitudinal shifts decrease quadratically with momentum due to specific vector mean-field and derivative interactions, offering new predictions for upcoming experiments at J-PARC.
This paper employs a Fisher-information-inspired principal-component analysis to demonstrate that neutron star observables are most sensitive to the vacuum dilaton field value, scalar singlet strength, and quadratic scalar term within the Chiral-Mean-Field model, thereby establishing a data-driven framework to guide future Bayesian inference of nuclear parameters from astrophysical observations.