5373 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 proposes that the smallness of the Higgs mass is a natural consequence of power-law renormalization group evolution, where an order-one boundary condition at the unification scale is exponentially suppressed to the electroweak scale by the top-quark Yukawa coupling, thereby resolving the hierarchy problem without requiring protective symmetries or fine-tuning.
This paper reviews the concepts of interpretability and explainability in machine learning for physics, defining them as structural transparency and scientific content respectively, while arguing that they are deliberate modeling choices subject to trade-offs rather than inherent properties of the models themselves.
This paper introduces a local infrared subtraction method for next-to-next-to-leading order QCD calculations in color singlet decays, utilizing scalar radiators and pure splitting functions to handle overlapping singularities and demonstrating the finiteness and numerical convergence of the double-real remainder for processes.
This paper introduces a Proximal Policy Optimization (PPO) based reinforcement learning framework that efficiently accelerates the search for detectable gravitational wave signals from supercooled phase transitions in a minimal dark sector, outperforming conventional Monte Carlo scans by effectively navigating high-dimensional parameter spaces to identify viable benchmark points.
This paper estimates constraints on the kinetic mixing parameter of sub-eV dark photons produced by thermal emission from Earth's core, demonstrating that current experiments like SENSEI and DAMIC-M already limit this parameter space while the proposed Oscura experiment could improve sensitivity by two to three orders of magnitude.
This paper presents the capabilities of the MUSES Calculation Engine's *Calliope* version to compute and thermodynamically merge diverse equations of state for heavy-ion collisions, demonstrating their application in relativistic viscous hydrodynamic simulations across various collision energies with movable critical points and critical scaling effects.
This paper formulates practical prescriptions for handling t-channel divergences in phenomenological calculations involving massless or unstable particles by demonstrating intricate KLN theorem cancellations across regularization schemes and connecting these results to the complex-analytic structure of amplitudes to advance the construction of finite, fixed-order inclusive collider observables.
The paper introduces CHESS, a Wolfram Language package that utilizes Chebyshev pseudo-spectral collocation to achieve high-precision, efficient numerical solutions for -factorized differential equations governing Feynman master integrals, demonstrating rapid convergence and competitive performance against existing methods.
This paper investigates how a new physics scale within the energy range of neutrino oscillation experiments can induce renormalization group running effects between production and detection, demonstrating that combining data from upcoming experiments like DUNE-ND, JUNO-TAO, and FASER2 offers strong sensitivity to disentangle these running parameters and resolve non-trivial degeneracies.
This paper proposes a dark matter detection scheme using an array of unentangled qubits in a Ramsey-type interferometer to achieve a sensitivity scaling of , demonstrating that trapped-ion systems with can match or surpass existing experimental and astrophysical bounds for wave-like dark matter and high-frequency gravitational waves.