5243 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 introduces flavor flux correlators as clean perturbative observables for measuring heavy quark flavor distributions, demonstrating their unique suppression of non-perturbative corrections and reformulating the heavy quark forward-backward asymmetry as a consequence of a mixed electroweak anomaly to enable precise analytical calculations and experimental verification.
This paper proposes a predictive non-minimal SU(5) Grand Unified Theory that replaces the standard 24-dimensional Higgs representation with a 75-dimensional one to resolve gauge coupling unification and fermion mass issues, thereby establishing a testable unification scale range that is partially excluded by current data but accessible to future experiments like Hyper-Kamiokande.
This paper proposes and evaluates a new approach for generating semi-visible jet signatures in non-resonant dark matter production, introduces an optimized matrix element to parton shower matching configuration, and establishes collider limits on the scenario through a reinterpretation of ATLAS t-channel search data.
This paper presents theoretical estimations of event rates and sensitivity curves for detecting right-handed fermionic dark matter in the sub-MeV mass range via electron-recoil interactions in xenon atoms, utilizing an effective electromagnetic channel that couples to standard-model particles without requiring new fields.
This paper investigates the dimensional reduction of a non-local scalar field theory to 1+2 dimensions by deriving an effective Lagrangian, analyzing interaction energies and unitarity, and applying Matsubara formalism to reveal fractional thermodynamic degrees of freedom that impose strict low-temperature stability bounds.
This paper establishes a unified algebraic framework for identifying matter-invariant quantities in neutrino propagation by characterizing them as the joint kernel of commuting derivations, utilizing Krylov-Plücker invariants to derive exact dimension formulas and revealing that the standard system's invariants form a toric cycle ring rather than a simple monomial factorization.
This review article presents an overview of dileptons as penetrating probes that, by escaping the fireball without final-state interactions, provide a space-time-evolution weighted average of the properties of hot and dense QCD matter created in heavy-ion collisions.
This paper presents a hybrid neural-network method implemented in C++ that significantly reduces the storage, memory, and initialization costs of multidimensional double parton distribution grids by compressing most data into a neural model while storing only a sparse set of high-accuracy residuals, achieving a 10.6-fold reduction in disk footprint with minimal impact on evaluation speed.
This paper proposes a method to construct a finite, weighted reference sample that globally maximizes the likelihood for learned density ratios, demonstrating that such a small dataset can accurately reproduce expected test statistic scans and distributions typically requiring millions of simulated events in neural simulation-based inference.
Using fully nonlinear numerical relativity, this study reveals that while dust fluid simulations of primordial black hole formation in a matter-dominated universe require significantly larger initial amplitudes to avoid premature computational crashes, collisionless particle simulations allow for black hole formation at thresholds an order of magnitude lower than previous analytic estimates.