Hep-Ph explores the fundamental forces that govern how particles interact and behave at the smallest scales imaginable. This field bridges the gap between theoretical predictions and experimental reality, helping scientists understand the building blocks of our universe without getting lost in complex mathematics. Whether investigating the Higgs boson or searching for new physics beyond current models, these studies push the boundaries of human knowledge about matter and energy.

At Gist.Science, we process every new preprint in this category as soon as it appears on arXiv. We strip away the dense jargon to offer both accessible plain-language explanations and detailed technical summaries, ensuring that groundbreaking research is understandable to everyone from students to seasoned experts. Below are the latest papers in this dynamic field, ready for you to explore with clarity and depth.

⚛️ lattice

Δ\Delta resonance contributions to QED radiative corrections in neutron and inverse beta decay

This paper incorporates the Δ(1232)\Delta(1232) resonance into heavy-baryon chiral perturbation theory calculations to show that it restores power counting for the axial-vector charge, significantly reduces the QED radiative correction to the gAg_A ratio, and increases pion-induced radiative corrections to inverse beta decay by a factor of 1.2–1.3.

Oleksandr Tomalak, Yi-Bo Yang2026-08-25
⚛️ phenomenology

Semileptonic Decay of Λb→N(1520)ℓ−νˉℓ\Lambda_b \rightarrow N(1520)\ell^-\bar{\nu}_{\ell} from QCD Light-cone Sum Rules

This paper employs QCD light-cone sum rules to calculate the form factors and predict the branching fractions and various polarization asymmetries for the semileptonic decay Λb0→N(1520)+ℓ−νˉℓ\Lambda_b^0\to N(1520)^+\ell^-\bar{\nu}_{\ell}, providing theoretical benchmarks for future experimental investigations.

Ke-Sheng Huang, Ao-Sheng Xiong, Hua-Yu Jiang, Fu-Sheng Yu2026-08-25
⚛️ phenomenology

Neural Boltzmann Equations

The paper introduces Neural Boltzmann Equations (NBEs), a novel framework combining physics-inspired neural distribution functions, Monte Carlo integration with importance sampling, and natural gradient optimization to efficiently solve high-dimensional particle dynamics in the early universe, enabling precision calculations of cosmological parameters like the effective number of relativistic neutrino degrees of freedom.

Jonas Spinner, Jack Shergold2026-08-25
⚛️ phenomenology

Integration-by-parts identities in the presence of measurement delta functions

This paper derives a systematic method for generating integration-by-parts identities for dimensionally regulated loop integrals with non-linear measurement constraints by utilizing vectors tangent to the constraint hypersurface, thereby avoiding derivatives of distributions and enabling the calculation of differential distributions like transverse-momentum spectra in processes such as ttˉHt\bar tH and ttˉt\bar t production.

Saimeng Zhou2026-08-25
⚛️ lattice

Probing Glueball content of X(2370) through heavy quarkonium radiative decays and electron-positron annihilation

This paper investigates the glueball content of the X(2370)X(2370) resonance by analyzing light-cone distribution amplitudes and a tetra-mixing scheme to predict branching ratios for heavy quarkonium radiative decays and electroproduction cross sections, offering testable theoretical predictions for current BESIII and Belle-II experiments.

Ruilin Zhu, Qiang Zhao2026-08-25
⚛️ high-energy experiments

Imprints of nuclear shell structure in exclusive vector meson production

This paper demonstrates that exclusive vector meson production at small xx serves as a novel probe of nuclear shell structure, as self-consistent nuclear densities derived from the quark-meson coupling model significantly modify coherent diffractive patterns, particularly for intermediate-mass nuclei like calcium isotopes where J/ψJ/\psi production offers a clean signal free from saturation effects.

Arpita Mondal, Arjun Kumar, Debojit Sarkar2026-08-25
⚛️ phenomenology

Generalized Chiral U(1)B−LU(1)_{B-L}: Towards a Less Constrained Z′Z' and Dark Matter

This paper proposes a generalized chiral U(1)B−LU(1)_{B-L} model with two free parameters that relaxes LHC Z′Z' constraints by suppressing dilepton decays, while simultaneously explaining neutrino masses and viable dark matter phenomenology through a combined Z′Z' and scalar-mediated annihilation mechanism.

Ranjeet Kumar, Hemant Kumar Prajapati2026-08-25
🔭 astrophysics

One-point matter PDFs beyond TopHat filters

This paper presents a non-perturbative path integral framework for modeling the one-point matter probability distribution function with arbitrary spherically symmetric window functions, demonstrating that while the most probable density profiles differ significantly for overdensities depending on the filter, the overall PDF is largely filter-independent and accurately validated against N-body simulations for scales larger than 10 Mpc/h.

Anton Chudaykin, Alexander M. Kayssi, Sergey Sibiryakov2026-08-24