1472 papers
Hep-Ex explores the fascinating intersection where particle physics meets experimental reality. This field investigates how scientists build massive detectors and accelerate particles to test the fundamental laws of nature, turning abstract theories into measurable data. It is the rigorous process of searching for new particles or forces that could reshape our understanding of the universe, often requiring years of collaboration and engineering.
At Gist.Science, we ensure these discoveries become accessible to everyone. We process every new preprint in this category directly from arXiv, generating both plain-language explanations for curious readers and detailed technical summaries for specialists. Our goal is to bridge the gap between complex experimental results and public understanding without losing scientific nuance.
Below are the latest papers in Hep-Ex, freshly summarized and ready for you to explore.
This paper introduces a generalizable foundation model for calorimetry that leverages next-token transformer architectures combined with Mixture-of-Experts pre-training and parameter-efficient fine-tuning to enable modular, scalable, and computationally efficient simulation of particle showers across diverse materials and detector configurations without catastrophic forgetting.
This paper presents an indirect determination of the top-quark pole mass as GeV by performing a global analysis of parton distribution functions within the NNPDF framework, which incorporates high-precision QCD and electroweak corrections, toponium contributions, and lattice constraints on while refitting PDFs to properly correlate uncertainties across various ATLAS and CMS measurements.
This paper proposes that a future precision $ee$ Higgs factory could perform the first spacetime-resolved test of quantum nonlocality in Higgs boson decays by measuring spin correlations between spacelike-separated lepton decays, thereby enabling the exclusion of superluminal entanglement signaling theories.
This paper investigates the sensitivity of the FASER and SHiP experiments to dark photons and U(1) gauge bosons produced via dark Higgs boson decays, incorporating new single-boson production channels, deriving constraints from current FASER data, and projecting future discovery potential for these models including those with freeze-in sterile neutrino dark matter.
The paper introduces \textsc{Albert}, a neuro-symbolic AI framework that successfully rediscovered the Standard Model and autonomously predicted the top quark's mass using only legacy LEP data, demonstrating a rigorous, hallucination-free approach to discovering new physics.
This paper presents the development and characterization of pixelated Capacitive-Coupled LGAD (ACLGADpix) detectors with a 100 m pitch, demonstrating uniform high-precision timing performance through tests with beta rays, infrared lasers, and electron beams for future high-luminosity collider applications.
This paper critiques a recent lattice QCD study that claims to exclude a QCD critical endpoint below MeV, arguing that the entropy-contour method used fails to directly probe critical singularities and therefore cannot provide model-independent constraints on the critical point's location.
This paper utilizes Born-Oppenheimer Effective Field Theory and lattice QCD calculations to demonstrate that the near-degeneracy and specific decay patterns of the hidden-bottom tetraquarks and arise from the degeneracy of their underlying light degrees of freedom, identified as and adjoint mesons.
This paper proposes a minimal extension of the Standard Model featuring a -stabilized complex scalar dark matter candidate coupled to up-type quarks via a heavy vector-like quark, successfully addressing up-type flavor-changing neutral currents and dark matter relic density while offering testable signatures at future muon colliders.
This paper demonstrates that existing torsion balance experiments, originally designed to test the Equivalence Principle, already provide the most stringent constraints on sub-eV dark matter scattering with nucleons by leveraging coherence-enhanced signals from repeated interactions.