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 a novel ultra-broadband axion dark matter experiment utilizing a dc SQUID operated at a flux sweet spot with lock-in modulation to achieve unprecedented sensitivity to axion-photon coupling across a mass range spanning over 15 orders of magnitude.
Using 20.3 fb⁻¹ of data from the BESIII detector, this study presents the first amplitude analysis of the decay, measuring its branching fraction and determining a relative branching fraction for versus that is significantly lower than previous world averages but consistent with isospin expectations.
This paper outlines a proposed physics program using the upgraded CLAS12 detector to explore the three-dimensional quark and gluon structure of the nucleon through precision measurements of Double Deeply Virtual Compton Scattering, Timelike Compton Scattering, and near-threshold production via di-muon electro- and photoproduction.
This paper presents a comprehensive next-to-leading order QCD study of the process in the di-lepton channel at 13.6 TeV within the SMEFT framework, demonstrating that consistently including higher-order corrections and dimension-6 operators in both top-quark production and decay is crucial for accurately predicting kinematic distributions and interpreting LHC Run III data.
The paper introduces CaloArt, a large-patch x-prediction Diffusion Transformer that achieves state-of-the-art high-granularity calorimeter shower generation with high physics fidelity and low computational cost, eliminating the need for pretrained latent tokenizers.
This paper introduces HERON, a proposed hybrid radio detector array designed to observe ultrahigh-energy Earth-skimming tau neutrinos via up-going air showers, leveraging its high-elevation location and sparse array configuration to enable multi-messenger astronomy and the detection of astrophysical transients.
This paper presents extensive simulation studies evaluating the power of various non-parametric two-sample and goodness-of-fit tests for multivariate data, concluding that no single method is universally effective and proposing a small, robust set of methods to ensure high power across diverse scenarios.
This paper presents novel machine learning methods, specifically a Gradient Boosted Decision Tree and a new Adaptive Symbolic Memetic Regression algorithm, to mitigate dominant backgrounds and beam deflection biases in Small Angle Bhabha scattering and diphoton channels, thereby enabling future colliders to achieve the stringent integrated luminosity precision of required at the Z pole.
This paper presents recent and upcoming results from the COMPASS experiment on transverse-momentum dependent effects in semi-inclusive deep inelastic scattering, highlighting improved constraints on quark transversity from a polarized deuteron target and the prospective first extraction of the Boer-Mulders function from unpolarized hydrogen data.
This paper presents a deep neural network-based approach trained on ALICE data from LHC Runs 1 and 2 to interpolate and extrapolate proton-proton transverse-momentum spectra for unmeasured center-of-mass energies relevant to LHC Run 3 and beyond.