1467 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 employs a nonrelativistic quark-diquark model to predict the mass spectra, magnetic moments, and Regge trajectories of the triply heavy and baryons, establishing a consistent link to experimental meson data and providing reliable theoretical benchmarks for future searches at LHCb.
This study proposes and demonstrates a practical method for reconstructing three-dimensional recoil-electron directions in electron-tracking Compton cameras by combining high-resolution 2D optical imaging, 1D waveform readout, and deep learning, achieving improved angular and starting-point resolution without the data volume constraints of full 3D readout systems.
The paper outlines the future of flavour physics over the next two decades, highlighting the pivotal roles of the LHCb and Belle II experiments followed by the potential precision improvements offered by a future collider with dedicated , , and runs.
This paper investigates the potential of the Scattering and Neutrino Detector (SND) at the HL-LHC and the SHiP experiment to observe the rare neutrino trident scattering process by presenting cross-section predictions and demonstrating their complementary sensitivity across different energy ranges.
Using 164 fb⁻¹ of proton-proton collision data at 13.6 TeV collected by the ATLAS detector during Run 3, this study reports no significant excess of quantum black hole candidates in lepton+jet final states and establishes the world's strongest exclusion limits to date, reaching a mass scale of 9.4 TeV.
This review synthesizes the current experimental landscape for measuring the tau lepton's anomalous magnetic moment, contrasting the complementary strengths of Ultra-Peripheral Heavy-Ion Collisions and proton-proton data at the LHC with the superior precision prospects of future lepton colliders like Belle II and FCC-ee.
This paper reports the inclusive differential production cross-section of forward photons in proton-proton collisions at = 510 GeV measured by the RHICf experiment, finding that the results are consistent with Feynman scaling and various hadronic interaction models despite some predicted energy dependencies.
This paper proposes and evaluates a parametrized quantum circuit-based anomaly detection algorithm for high-energy physics, demonstrating its feasibility on both simulations and NISQ hardware while acknowledging that current noise levels prevent it from outperforming classical deep neural networks.
This paper investigates the potential of the DUNE near detector to probe a five-dimensional gauge extension of the Standard Model, which addresses the muon anomaly, by analyzing elastic neutrino-electron scattering data to explore MeV-scale parameter spaces and interference effects between multiple massive gauge bosons.
The paper introduces \texttt{IAFormer}, a novel Transformer-based architecture that leverages boost-invariant pairwise quantities and a dynamic sparse "differential attention" mechanism to achieve state-of-the-art classification performance on collider data with over an order of magnitude greater computational efficiency than existing Particle Transformer models.