5582 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 study utilizes QCD sum rules with nonperturbative effects up to dimension ten to predict the masses and residues of ground and excited spin-3/2 doubly heavy baryons ( and containing $cc$, $bc$, or $bb$ quarks), providing essential theoretical guidance for future experimental searches.
This paper demonstrates that transfer learning with Generative Adversarial Networks effectively extrapolates physics information from synthetic neutrino-carbon scattering data to related processes like neutrino-argon and antineutrino-carbon interactions, significantly outperforming models trained from scratch and maintaining high accuracy even with limited statistics.
This paper presents calculable supersymmetric chiral gauge theory models where the Peccei-Quinn symmetry is spontaneously broken by non-perturbative dynamics, leading to a QCD axion scenario compatible with SU(5) grand unification that requires the GUT and PQ breaking scales to coincide with a SUSY breaking scale of approximately GeV.
This paper demonstrates how QCD confinement drives a nontrivial flow between extremal one-point energy correlators by transforming fermionic matter into scalars, a phenomenon that can be reconstructed using perturbative and chiral perturbation theories and verified with existing experimental data.
This paper presents a constructive framework that elevates gauge-invariant scattering amplitudes to define quantum field theory actions by promoting color-dual numerators to operators, thereby systematically deriving gravitational effective actions from gauge-theory components and extending color-kinematics duality from amplitudes to the operator level.
This study demonstrates that incorporating QCD small- energy evolution (JIMWLK) into the IP-Glasma initial state framework significantly alters key heavy-ion collision observables, such as particle multiplicities and flow correlations, highlighting the critical necessity of nonlinear QCD evolution for accurately modeling early-stage dynamics and extracting quark-gluon plasma transport properties.
This paper proposes a four-dimensional gauge-gravity unification based on Yang-Mills theory where spontaneous symmetry breaking and tetrad condensation induce Einstein-Cartan gravity and generate three composite fermion families, with anomaly matching uniquely selecting to yield the chain.
This paper extracts the QCD scale parameter () from the photon structure function by separating perturbative and non-perturbative regions, utilizing the vector dominance model for the latter.
This paper proposes using optimal transport as a physics-based intermediate event representation for weakly supervised anomaly detection, demonstrating that it significantly outperforms both standard high-level observables and end-to-end deep learning on low-level data in detecting rare resonant signals within LHC datasets.
This paper demonstrates that the perturbative treatment of axion-SU(2) gauge dynamics during inflation breaks down when the energy density of produced spin-2 particles exceeds that of the background field, a condition that often occurs prior to the strong backreaction regime and necessitates non-perturbative lattice simulations for reliable analysis.