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.

⚛️ phenomenology

From the universal Lindblad equation to Boltzmann equations: in-QGP quarkonium dynamics

This paper establishes a systematic theoretical foundation for quarkonium dynamics in the quark-gluon plasma by deriving coupled singlet-octet Boltzmann transport equations directly from universal Lindblad equations within pNRQCD, thereby extending semiclassical descriptions beyond the small-dipole approximation and identifying additional collision terms absent in previous rotating-wave approximations.

Aoumeur Daddi Hammou, Pol Bernard Gossiaux2026-08-19
⚛️ nuclear theory

Density-induced dark-baryon conversion in Δ−\Delta-admixed hypernuclear neutron stars

This study demonstrates that in neutron stars containing hyperons and Δ\Delta resonances, density-induced conversion of neutrons into neutral dark baryons is self-consistently determined by chemical equilibrium rather than Higgs exchange, leading to suppressed dark-baryon abundances and equation-of-state modifications that constrain lighter dark-baryon masses against observed massive pulsar data.

Niyar Prabhat Kalita, Vivek Baruah Thapa, Bhanu Prakash Pant, Anil Kumar, Partha Konar2026-08-19
⚛️ nuclear theory

Generative artificial intelligence for reconstructing neutron-star matter

This paper introduces a generative AI framework using denoising diffusion models to reconstruct the neutron-star equation of state by learning an inspectable prior from nuclear theory while exactly enforcing physical constraints, thereby resolving the ill-posed inverse problem of inferring matter properties from sparse observational data without biasing the results.

Julia Yu. Panteleeva, Herzallah Alharazin, Evgeny Epelbaum2026-08-19
⚛️ phenomenology

Characterize the properties of Ds+D_s^+-meson decay constant and leptonic decays by using QCD sum rules within background field theory framework

This paper utilizes QCD sum rules within the background field theory framework, including dimension-six condensates and two constraint schemes, to precisely calculate the Ds+D_s^+-meson decay constant and its leptonic branching fractions, thereby extracting consistent values for the CKM matrix element ∣Vcs∣|V_{cs}|.

Jian-Qi Chen, Ya-Xiong Wang, Hai-Bing Fu2026-08-19
⚛️ phenomenology

Anomaly-Induced Phenomena with Massive Fermions: Higher-Landau-Level Dominance from Spatially Modulated Electric Fields

This paper demonstrates that spatially modulated electric fields induce local axial-charge sources in massive fermions under constant magnetic fields through a mechanism dominated by higher Landau levels rather than the lowest, thereby explaining linear magneto-resistance suppression in weakly gapped Weyl semimetals.

Koichi Hattori, Kazuya Mameda, Takeru Uchiyama, Di-Lun Yang2026-08-19
⚛️ phenomenology

An axion constraint from the diffuse supernova neutrino background indicated by Super-Kamiokande

Motivated by Super-Kamiokande's recent 2.6σ2.6\sigma indication of the diffuse supernova neutrino background, this study uses hydrodynamic simulations to derive a competitive 1σ1\sigma upper limit on the axion-proton coupling constant (∣gap∣<1.3×10−9|g_{ap}|<1.3\times10^{-9}) that offers a robust constraint independent of single supernova event properties.

Kanji Mori, Tomoya Takiwaki, Kazunori Kohri, Masamitsu Mori2026-08-19
⚛️ high-energy experiments

VERaiPHY -- Validation & Evaluation for Robust AI in PHYsics

This paper introduces the VERaiPHY initiative, a series of articles under the PHYSTAT programme designed to establish rigorous statistical standards for validating and evaluating machine learning techniques in fundamental physics, with this opening article laying the necessary probabilistic, statistical, and machine learning foundations and notation for subsequent contributions.

Gaia Grosso, Ramon Winterhalder, Lydia Brenner, Louis Lyons, Tilman Plehn2026-08-19
⚛️ high-energy experiments

Bound-state spectra of χcJ\chi_{cJ} in finite nuclei and the universal pattern of mass levels

This study predicts the existence of χcJ\chi_{cJ}-nuclear bound states across various nuclei using in-medium mass shifts from virtual D(∗)Dˉ(∗)D^{(*)}\bar{D}^{(*)} loops, revealing a universal level-spacing pattern that decreases with nuclear mass and could be verified in future experiments at the upgraded JLab facility.

Tian-Le Gao, Ze-Hua Zhang, Xiang Liu2026-08-19