5365 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 presents and validates an improved strength-function method based on Lanczos iterations that enables efficient and accurate calculation of two-neutrino double-beta-decay nuclear matrix elements without requiring full diagonalization, thereby facilitating the assessment of neutrinoless double-beta-decay rates and higher-order decay treatments.
This paper applies quantum estimation theory to neutrino oscillations to derive analytical and numerical quantum Fisher information bounds, establishing the ultimate precision limits for oscillation parameters in typical reactor and long-baseline accelerator experiments.
This paper investigates the near-threshold scattering and bound-state structure of the proton-Omega () system using meson and Pomeron exchange models, finding that including Pomeron exchange improves agreement with experimental data for the channel and predicts a weak quasi-bound state in the channel.
This paper challenges the conclusions of Aoki, Fukaya, and Taniguchi regarding the vanishing of the Dirac spectral density and topological susceptibility in the chirally symmetric phase, arguing that a critical step in their proof is unjustified and their results require reassessment.
This paper calculates inclusive -meson decay rates within the Mesogenesis framework using the Heavy Quark Expansion, revealing that subleading power-suppressed contributions can exceed the leading term in specific parameter regions, thereby exposing the limits of the expansion's validity while updating exclusive decay bounds and finding no new constraints from lifetime ratios.
This paper evaluates the accuracy of the quark-diquark approximation for baryons by comparing it with a three-body model using the same semi-relativistic interaction, introducing an improved potential procedure and demonstrating that a compact diquark is not strictly necessary to achieve accurate baryon masses.
This paper introduces Profile OmniFold, an extension of the machine learning-based OmniFold algorithm that incorporates nuisance parameters to handle uncertainties in detector simulations, demonstrated through both Gaussian examples and a CMS experiment case study.
This paper derives novel constraints on scalar-tensor gravity theories by analyzing how spatial variations in the background scalar field affect neutrino masses, flavor oscillations, and supernova time delays, ultimately mapping these bounds onto popular screening mechanisms like Symmetron and Chameleon models.
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.