2131 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 proposes the design of two dedicated long-lived particle (LLP) detectors, DELIGHT and FOREHUNT, for the Future Circular Collider (FCC) facility, featuring a novel shared transverse detector for both FCC-ee and FCC-hh runs to optimize costs and significantly enhance sensitivity to elusive new physics.
This paper analyzes recent electron and nuclear recoil data from XENONnT, PandaX-4T, and LUX-ZEPLIN to probe both Standard Model and Beyond the Standard Model physics, highlighting how xenon-based dark matter detectors can uniquely complement dedicated neutrino experiments by providing sensitivity to solar neutrino interactions and flavor-dependent new physics effects.
This study evaluates the potential for SHiP and Belle II to detect sub-GeV dark matter through multi-displaced vertex signatures arising from dark showers in strongly-interacting dark sectors, identifying a significant parameter space where such signals could reveal the structure of the dark sector.
Using 13 TeV proton-proton collision data corresponding to 5.4 fb⁻¹ of integrated luminosity, the LHCb experiment presents the first measurements of differential and total top- and antitop-quark production cross-sections and the top-quark charge asymmetry in the forward region, finding results consistent with next-to-leading-order Standard Model predictions.
This paper presents a model-independent analysis of HERA's exclusive coherent diffractive production data using artificial neural networks to predict differential cross-sections and extract a - and -dependent exponential slope by integrating HERA and LHC datasets.
This paper presents the first fully differential predictions for Higgs-boson pair production via gluon-gluon fusion at NLO in the heavy-top limit, demonstrating a threefold reduction in scale uncertainties and incorporating top-quark mass effects to provide highly precise theoretical benchmarks for LHC searches.
The paper introduces CaloTrilogy, a unified framework that achieves high-quality, physics-guided particle shower generation for modern calorimeters in just one or a few inference steps by combining an average velocity field integrator, a data-derived generative prior, and training-time physics constraints, thereby overcoming the computational inefficiencies of existing flow and diffusion models.
Using combined datasets from the Belle and Belle II experiments, this study presents the most precise measurements to date of time-dependent violation parameters in decays, finding results consistent with Standard Model predictions across both -dominated and non-resonant regions.
This paper proposes a general method for calculating kinematic limits in high-energy physics by identifying the vanishing of Lorentz invariants analogous to Cayley-Menger determinants, a technique applicable to processes involving lost particles like neutrinos and useful for suppressing background.
This paper proposes a parasitic high-energy polarized gamma-ray facility at FCC-ee using Compton backscattering to achieve a four- to seven-fold improvement in precision for measuring the polarized gluon distribution in the medium- region through open-charm photoproduction.