3153 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 the computation of two-loop massless QCD corrections to the Higgs boson decay amplitude into a bottom quark pair and a gluon () expanded to higher orders in the dimensional regulator , providing essential ingredients for future three-loop calculations of Higgs plus jet production at hadron colliders.
This paper proposes a compositeness framework where fermion generations are elementary fields whose Yukawa hierarchies and mixing patterns arise from chains of spin-0 subconstituents governed by a discrete gauge symmetry, successfully predicting key observables like the neutrino mass, axion mass, and from just two fundamental parameters.
This paper presents the complete set of ultraviolet-renormalized and infrared-subtracted two-loop virtual fermionic contributions to the Drell-Yan process () using an automated methodology, providing a crucial building block for next-to-next-to-leading order electroweak simulations.
This paper demonstrates that uncertainties in modeling final-state interactions (FSI) significantly impact neutrino energy estimation for DUNE and Hyper-K, with each experiment being sensitive to distinct FSI mechanisms, thereby highlighting the critical need for refined theoretical and experimental approaches to meet future oscillation precision goals.
This paper proposes a multiverse-based cosmological selection mechanism that dynamically sets the electroweak scale while simultaneously explaining neutrino masses, matter-antimatter asymmetry, and dark matter within an extended Standard Model featuring a complex scalar singlet and right-handed neutrinos under a global symmetry.
By analyzing the square well scattering problem, this paper critiques the standard Breit-Wigner resonance approach for its unphysical predictions—such as negative widths and exponentially growing wave functions—and proposes an alternative framework based on antilinear $PT$ symmetry that yields complex conjugate energy pairs and a single, physically observable resonance with time-independent probability amplitudes.
This paper demonstrates that a previously proposed Hamiltonian formalism for soft excitations in a quark-gluon plasma is also effective for describing the scattering of colorless plasmons off hard thermal particles, leading to the development of a generalized Poisson superbracket, higher-order interaction Hamiltonians, and a self-consistent system of kinetic equations for the system's dynamics.
This paper investigates how a dynamically evolving neutrino mass spectrum alters the electron neutrino survival probability and energy-dependent flux of the diffuse supernova neutrino background (DSNB), concluding that while such effects are theoretically detectable, current astrophysical modeling uncertainties prevent their observation with present or near-future experiments.
This paper proposes a diffusion-model-based generative AI method to efficiently search for phenomenologically viable parameters in the modular flavor model, successfully identifying new parameter regions and confirming spontaneous CP violation that are difficult to access through traditional analytical approaches.
This paper investigates the internal structure of the and hadronic states by modeling various molecular and bare-state scenarios to predict and correlation functions, demonstrating that these observables are highly sensitive to coupled-channel effects, short-range dynamics, and the degree of compositeness.