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 argues that while a complex New Physics coupling proposed to explain mild deviations in data conflicts with LHC high- constraints, other viable scenarios exist that are too subtle for integrated observables but may be detectable via -binned angular distributions in specific and decay modes.
This paper evaluates the LHC's potential to detect the scalar radial excitation in composite and twin Higgs models, establishing current mass bounds of 0.93–1.13 TeV from Run 2 data and projecting HL-LHC sensitivities up to 2.2 TeV, with the Higgs pair decay channel identified as the most promising discovery mode.
This paper demonstrates that relational observables in quantum gravity can be expressed as dressed operators, revealing that the algebraic structure of quasi-de Sitter space corresponds to a Type II von Neumann algebra due to isometry breaking, which fundamentally distinguishes it from the Type II algebra of de Sitter space.
This paper investigates the low-energy phenomenology of a 3+3 Type-I seesaw framework by performing a comprehensive Monte Carlo scan to constrain sterile neutrino parameters against oscillation data and multi-probe limits, revealing that while eV-scale sterile states induce significant spectral distortions, they face strong tension from charged-lepton flavor violation bounds and predict a neutrino mass sum within the reach of future cosmological surveys.
This paper investigates the sensitivity of current and future hadron-collider experiments to axion-like particles (ALPs) via associated diboson production, deriving four-dimensional constraints on their couplings to gluons, weak bosons, and photons, and highlighting the potential of the High-Luminosity LHC to probe the sub-GeV mass range.
This paper presents a novel deep convolutional neural network-enhanced Bayesian global analysis of relativistic heavy-ion collisions that significantly reduces computational costs to constrain QCD matter properties, revealing a temperature-dependent shear viscosity plateau and non-zero bulk viscosity while confirming that hydrodynamic freeze-out occurs at the expected applicability limit.
This paper proposes a discovery-grade framework for detecting sub-MeV dark matter by searching for correlated "satellite-line combs"—multiple weak -ray lines shifted by a common energy offset below known neutron-capture transitions—using high-resolution HPGe detectors to suppress nuclear and instrumental backgrounds.
This paper computes non-eikonal corrections to dijet production in deep inelastic scattering off a nucleus, deriving all-order expressions in terms of path integrals and demonstrating that next-to-eikonal corrections vanish under the harmonic oscillator approximation for target averages.
This paper presents a formalism and computational techniques for calculating tree-level QED scattering cross sections in strong magnetic fields exceeding the Schwinger limit, implementing the results in an open-source Python package to support future studies of magnetar magnetospheric dynamics.
This paper demonstrates the near-term feasibility of deploying quantum-inspired tensor network algorithms, specifically a spaced matrix product operator and its cascaded variant, on FPGA hardware to enable real-time anomaly detection for beyond-Standard-Model physics at particle colliders.