5500 papers
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.
This paper applies a momentum-space Daubechies wavelet basis within the Hamiltonian framework to investigate nonperturbative dynamics in -dimensional theory, successfully reproducing the strong-coupling phase transition and demonstrating systematic convergence of the critical coupling as momentum resolution increases.
This paper classifies the non-Abelian conformal anomaly of the Euclidean conformal group in dimensions by using the Stora-Zumino descent method applied to the Euler invariant, thereby establishing a formal connection between conformal anomalies, type-A Weyl anomalies, and 't Hooft anomaly matching.
This paper generalizes a recent observation in Super-Yang-Mills theory to prove that off-shell massless scalar three-point Feynman integrals are self-dual under Fourier transformation, thereby establishing their representation as graphical functions and deriving new identities for graphical functions and twist relations in theory.
This paper demonstrates that Physics-Informed Neural Networks (PINNs) can accurately solve the differential equations governing two-flavor neutrino oscillations in both vacuum and matter environments, offering a high-precision, mesh-free alternative to traditional numerical solvers for reactor and atmospheric neutrino studies. Under the heading 'Two Different Worlds: Reactors vs. The Atmosphere', the study clarifies that for atmospheric neutrinos passing through the earth, it assumes a constant earth core density of 13 gm/cm^3 throughout the neutrino traversing regime, rather than accounting for the complete earth profile with variable matter density.
This paper outlines the analysis of three-particle interactions and decay processes, specifically focusing on Dalitz plot kinematics, under leading-order modifications within a Lorentz-violating quantum field theory.
This paper develops an effective light-front mass-squared operator for quark-antiquark systems that incorporates nonperturbative QCD dynamics through a running quark mass derived from lattice-QCD-inspired propagators, applying this framework to study the structure of the pion.
The paper introduces PHIN-GAN, a physics-informed generative adversarial network that utilizes analytical probability density functions of the Landau straggling function to provide high-fidelity, scalable, and computationally efficient simulations of particle-matter interactions compared to traditional methods like GEANT4.
An analysis of global deep-inelastic scattering data reveals that nuclear modifications to nucleon structure functions remarkably cancel out in the valence quark region (), resulting in an isoscalar cross-section ratio near unity across all nuclei.
This paper presents a fully numerical study of parametric resonance in preheating, demonstrating that exact simulations reveal complex, coupling-dependent dynamics—such as mode-specific saturation and stochastic behavior—that differ significantly from traditional analytical approximations.
This paper evaluates various scalar field dark matter models against the rotation curve of the Andromeda galaxy (M31), finding that a two-component bulge baryonic structure combined with a smooth cored halo, such as Fuzzy Dark Matter, provides the most statistically consistent fit.