1434 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 develops a revised TMD factorization formalism for dijet production with a transversely polarized target at the EIC, incorporating NLO evolution kernels to predict significant gluon Sivers asymmetries ranging from 5% to 50%.
This paper presents the design, deployment, and performance verification of the Murchison Widefield Array Particle Detector Array (MWA PDA), an eight-detector system that successfully identifies cosmic ray extensive air showers to trigger radio data capture and serves as a pathfinder for future Square Kilometre Array instruments.
This paper presents a combined analysis of solar neutrino data from the XENONnT, PandaX-4T, and LUX-ZEPLIN experiments to constrain the solar B neutrino flux and weak mixing angle while establishing competitive bounds on nonstandard neutrino interactions mediated by both light and heavy vector particles.
This paper presents the design and calibration of a high-sensitivity Si-PIN array system for measuring surface -activity and details its application in investigating the non-monotonic, electrostatically enhanced, and humidity-dependent deposition dynamics of radon progeny on PMMA surfaces to mitigate background challenges in low-background particle physics experiments.
Using 20.3 fb of collision data collected by the BESIII detector, this paper presents the first amplitude analysis of the semileptonic decay , leading to the first observation of a component, precise measurements of hadronic form factors and branching fractions, and stringent tests of lepton flavor universality and isospin symmetry without finding any violations.
This paper introduces CelloAI, a suite of repeatable and automated benchmarks designed to evaluate Large Language Models on HEP/HPC-specific tasks, including code documentation, GPU kernel generation, and graphical data analysis, to address the unique constraints of scientific software development.
This report summarizes the current status of the ILC Technology Network's collaborative engineering activities between Asian and European laboratories, which aim to advance the realization of the International Linear Collider while remaining relevant to broader accelerator applications.
This paper proposes a new, information-theoretic measure of fine-tuning based on the Fisher information metric, which generalizes the Barbieri--Giudice criterion to multiple correlated parameters and provides a geometric interpretation of sensitivity as the stretching of the parameter space submanifold within observable space.
This paper demonstrates that deep learning models, including convolutional and transformer architectures, offer a promising solution for identifying challenging C pile-up events in the JUNO experiment, thereby helping to preserve the high energy resolution required for determining the neutrino mass ordering.
ImpCresst is a versatile, Geant4-based Monte Carlo simulation tool developed by the CRESST collaboration to model backgrounds and calibration signals in solid-state detectors at keV energies, featuring dynamic CAD-based geometry, advanced particle generators for radionuclides, and a workflow optimized for HPC environments.