5547 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 utilizes precise semiexclusive electron scattering data on oxygen-16 to test and identify deficiencies in the nuclear ground state and final state interaction models within the GENIE neutrino event generator, demonstrating that these models fail to accurately reproduce measured reduced cross sections across all kinematic regions.
This paper establishes a methodology for handling the renormalization of dimension-seven operators in - mixing by demonstrating that their infrared-finite one-loop corrections in the scheme can be absorbed into finite counterterms proportional to dimension-six operators, thereby preserving power counting and constraining the definition of evanescent operators.
This paper demonstrates that in three-flavor neutrino oscillations, the system forms a W-type entangled state with vanishing genuine tripartite tangle, while deriving experimentally accessible measures like concurrence fill and symmetric invariant that quantify distributed entanglement and reveal distinct energy-dependent patterns, particularly near maximal mixing, which can be probed using DUNE long-baseline simulations.
This paper introduces two novel numerical approaches for computing Feynman integrals by leveraging their complete monotonicity and Stieltjes properties to impose strong constraints on differential equation solutions and enable efficient rational approximations via Padé approximants, respectively.
This paper demonstrates that sub-TeV higgsino dark matter, with masses as low as approximately 400–500 GeV, remains a viable candidate in the MSSM through slepton coannihilation, provided that specific gaugino mass sign configurations (particularly ) induce destructive interference to suppress spin-independent scattering cross sections below the stringent LZ-2024 direct detection limits.
This paper proposes a light dark matter model within a two-Higgs-doublet framework to explain recent deviations in rare meson decays, demonstrating that while neutral Higgs contributions to the neutron EDM are suppressed by cancellations lifted by QCD evolution, charged scalar contributions and specific CP-violating phases can generate a neutron EDM consistent with current experimental bounds while also predicting non-negligible effects on mixing.
This paper calculates the magnetic moments of decuplet baryons in asymmetric magnetized nuclear matter by combining the chiral SU(3) quark mean field model for effective masses with an extended chiral constituent quark model that incorporates Landau quantization and decomposes contributions from valence, sea, and orbital angular momenta.
This paper presents a Mathematica code named StableWein and a machine-learning tool to assess the boundedness from below of the -symmetric three-Higgs-doublet model by iteratively applying necessary conditions and achieving over 99% classification accuracy.
Using heavy-nucleus effective field theory, this paper derives a universal "double-weak Sirlin function" for two-neutrino double-beta decay that significantly distorts electron energy and angular spectra, necessitating the inclusion of these radiative corrections in high-precision Standard Model tests and nuclear structure extractions.
This paper investigates unexpected anomalies in CMS experiment data identified by the OmniLearned foundation model, finding that while background estimates perform well in validation regions, they fail to accurately model the signal region, prompting a call for further scrutiny.