2585 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.
The NA62 experiment at CERN presents a new measurement of the branching ratio using combined 2016–2024 data, yielding a result of that is compatible with the Standard Model prediction with better than 20% precision.
Using 5.1 fb⁻¹ of proton-proton collision data at 13 TeV, the LHCb experiment performed a precision measurement of the forward -boson production cross-sections via the decay channel, yielding results that significantly improve upon previous measurements and align well with next-to-next-to-leading order theoretical predictions.
This paper systematically analyzes ultralight dark matter effects on neutrino oscillations using T2K and NOA data, revealing that stochastic fluctuations in the low-mass regime significantly relax coupling constraints while failing to resolve the existing tension in the CP-violating phase between the two experiments.
This paper reports a 100-fold improvement in sensitivity for detecting new gravity-like forces at micrometer scales using optically levitated microspheres, establishing the first multi-component vector force measurements and setting stringent new upper limits on Yukawa-type interactions in the 5–10 μm range.
This paper demonstrates that Transformer networks applied to ultra-high-energy cosmic ray simulations successfully learn physically meaningful features, specifically through their trained positional encodings for azimuthally symmetric air showers and their attention mechanisms for cosmic particles from galaxy catalogs.
This paper introduces a computationally efficient Bayesian framework for Parton Distribution Function (PDF) determination that utilizes low-dimensional linear models derived from neural network bases to provide robust uncertainty estimates and transparent control over model selection, as validated through synthetic data and closure tests.
This paper demonstrates that chiral-odd dimeson generalized distribution amplitudes, which encode the spin-orbit correlation in spin-zero mesons, can be experimentally accessed in reactions through the interference between leading one-photon and two-photon exchange amplitudes, offering a direct path to probe this previously unmeasured sector of meson structure at facilities like BES III.
This paper investigates the minimal type II seesaw mechanism with two-zero neutrino mass textures, demonstrating how specific patterns of charged lepton flavor violation—particularly in tau decays—can be distinguished from other new physics scenarios and used to probe ultra-high flavor symmetry scales and doubly charged scalars at current and future experiments.
This paper proposes a machine-learning-based strategy that classifies neutrino interaction types prior to energy reconstruction to exploit intrinsic kinematic differences, thereby reducing modeling uncertainties and improving the accuracy and sensitivity of next-generation long-baseline oscillation experiments like DUNE by 10–20%.
This paper presents a detailed computer simulation method to investigate the non-monotonic evolution of K-shell ionization and characteristic x-ray radiation angular distributions from high-energy electrons and positrons traversing oriented silicon crystals across a wide energy range (1–1000 GeV), with a specific focus on the underlying physical mechanisms such as dechanneling.