3305 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 a novel formalism that resums magnetic field interactions and incorporates finite decay widths of Landau levels to systematically calculate tree-level QED scattering cross sections relevant to magnetar plasma dynamics, with results made available in an open-source Python package.
This paper develops a relativistic quantum field theory based on -deformed Poincaré symmetry that generalizes twisted statistics to quon-like deformations, demonstrating that while purely twisted statistics is experimentally ruled out, specific quon deformations can suppress Pauli-forbidden transitions only if superselection rules are violated, thereby implying an effective breakdown of particle indistinguishability.
This paper demonstrates that loop-level corrections to the leptonic decays of the , , and Higgs bosons provide stronger exclusion limits on heavy, flavor-specific leptophilic gauge bosons than current direct search constraints, offering a complementary probe for new physics at the TeV scale and beyond.
This paper proposes a dark sector framework with a gauge symmetry and vector-like leptons that generates macroscopic Majorana neutrino transition magnetic moments exclusively through chirally enhanced scalar loops, while demonstrating that global phenomenological constraints from charged lepton flavor violation and dark sector searches overwhelmingly dominate and eclipse direct solar neutrino limits.
This paper proposes a nonlocal realization of the Stueckelberg portal connecting the Standard Model and a Dark Sector via a massive dark photon, analyzing its phenomenological implications for meson decays and deriving experimental constraints on the model's parameters, including the nonlocality scale.
Using Planck 2018 CMB data, this paper demonstrates that Bayesian constraints on dark matter-proton scattering are biased by prior-volume effects that overestimate limits, and thus recommends supplementing them with frequentist profile-likelihood analyses to obtain prior-independent results.
This paper presents a comprehensive analysis of cosmic ray signals from asteroid-mass primordial black holes, incorporating full transport effects and new multi-wavelength data to derive leading constraints on their contribution to dark matter while testing various spin and mass distribution assumptions.
This paper introduces an uncertainty-aware machine learning framework that successfully classifies the pole structures of hadronic scattering amplitudes, achieving high accuracy on synthetic data and inferring a four-pole structure for the state in experimental LHCb data.
This paper presents a comprehensive phenomenological analysis of the Ho calorimetric electron capture spectrum from the HOLMES experiment, modeling the unfolded data as a sum of Breit-Wigner resonances and shake-off continua to accurately describe spectral features, validate against theoretical calculations, and provide a robust framework for future neutrino mass experiments.
This paper demonstrates how machine learning-based simulation techniques can systematically optimize precision-theory-compatible observables, specifically identifying that isosceles right-triangle energy 3-point correlators maximize sensitivity to the top quark mass while remaining computable to high precision.