5365 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 demonstrates that analytical Hubble-flow parametrisations of ultra-slow-roll inflation often conceal sharp, unphysical UV features in the underlying scalar potential, which can be systematically removed via Fourier filtering to reveal that such models typically respect Wands duality and questioning the robustness of these simple parametrisations for modeling transient non-attractor phases.
This paper presents a non-perturbative lattice QCD calculation with flavors to determine the renormalization constants for the traceless components of the energy-momentum tensor, utilizing -improved Wilson actions and shifted boundary conditions to ensure the correlation functions satisfy continuum Ward identities.
This paper utilizes QCD sum rules to calculate the mass spectrum of diquark-diquark-antiquark type decuplet pentaquark states and proposes specific decay channels involving and baryons as promising avenues for their experimental detection in the mass spectrum.
This paper reviews and advocates for Magnetic-Field-Independent Regularization (MFIR) and the Medium Separation Scheme (MSS) as essential frameworks for studying magnetized dense quark matter, demonstrating that these methods eliminate unphysical artifacts found in traditional schemes and reveal that superconducting phases persist at zero temperature even under strong magnetic fields.
This paper analyzes QED scattering amplitudes in a chiral medium with a constant chiral chemical potential and chiral magnetic conductivity, demonstrating the emergence of resonant behaviors in various scattering processes and computing the resulting decay rates and widths of quasi-stationary fermion and photon states.
This paper presents a theoretical framework using integral transforms to derive analytic formulae for extracting spectral densities from Euclidean correlators, addressing both continuum and lattice scenarios while providing rigorous bounds to control errors arising from finite temporal extents.
This paper introduces HIcosmo, an open-source, JAX-based framework for efficient cosmological inference that leverages automatic differentiation and GPU acceleration to achieve significantly faster sampling speeds than existing tools like Cobaya while supporting a wide range of Stage IV survey likelihoods and cosmological models.
This paper reveals that systematic shifts in inferred neutron star equation of state parameters with varying observational precision arise from nonlinear filtering of radius measurements through previously unidentified, nearly universal inverse mappings between stellar radius and empirical EOS parameters.
By dynamically coupling the quark gap equation to the full non-perturbative quark-gluon vertex, this study reveals that sub-GeV time-like momenta yield a pair of real poles with opposite-sign residues—governed by a dominant triplet of vertex form factors—thereby resolving the conceptual issues of complex conjugate poles while maintaining consistency with color confinement.
This paper presents the first global analysis of unpolarized Transverse-Momentum-Dependent (TMD) distributions using a neural-network parametrization that simultaneously incorporates Drell-Yan and SIDIS data at NLL accuracy, demonstrating that the inclusion of SIDIS data broadens the extracted TMDs while reducing uncertainties compared to Drell-Yan-only analyses and offering a model-independent framework for future high-precision experiments.