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.

⚛️ high-energy experiments

Improved search for ψ(3770)→γηc(1S,2S)\psi(3770) \to \gamma \eta_{c}(1S, 2S) radiative transitions

Using an improved dataset of 20.3 fb−120.3~\mathrm{fb}^{-1} from the BESIII detector, this study finds no significant signal for the radiative transitions ψ(3770)→γηc(1S,2S)\psi(3770) \to \gamma \eta_{c}(1S, 2S) and sets new, tighter 90% confidence level upper limits on their branching fractions and partial decay widths, reducing previous constraints by factors of approximately three and two, respectively.

BESIII Collaboration, M. Ablikim, M. N. Achasov, P. Adlarson, X. C. Ai, C. S. Akondi, R. Aliberti, A. Amoroso, Q. An, Y. (…)2026-09-29
⚛️ high-energy experiments

Constraining Ultra-Light Vector Bosons via Solar Neutrino Oscillations: The Gauged Lμ−LτL_\mu - L_\tau Model and Prospects for JUNO and XLZD

This paper constrains an ultra-light vector boson from the gauged Lμ−LτL_\mu - L_\tau model using solar neutrino oscillation data, finding a potential best-fit scenario that slightly improves upon the standard three-flavour model while projecting significant future refinements from JUNO and XLZD experiments.

Ilídio Lopes2026-09-29
⚛️ nuclear experiments

Meson photoproduction at Jefferson Lab: from two-meson final states to meson-baryon spin-density matrices

This paper reviews recent progress in meson photoproduction at Jefferson Lab, highlighting the understanding of the ηπ\eta\pi system and deriving the complete angular distribution for the γp→ρ−Δ++\gamma p \to \rho^-\Delta^{++} reaction as a crucial step toward searching for exotic hybrid mesons in the b1πb_1\pi channel.

Vincent Mathieu2026-09-29
⚛️ high-energy experiments

Muon Detection and Direction Reconstruction with the Upgraded 1-ton Water Cherenkov Prototype Detector at CJPL-I

The upgraded 1-ton water Cherenkov prototype detector at China Jinping Underground Laboratory (CJPL-I) demonstrated a 59% increase in muon detection efficiency and a 70% reduction in direction reconstruction uncertainty, successfully measuring the underground muon flux and identifying a rare up-going muon event to enable future neutrino-induced studies.

Yapeng Wang, Yuzi Yang, Shaomin Chen, Wei Dou, Haoyang Fu, Guanghua Gong, Lei Guo, Ziyi Guo, XiangPan Ji, Jianmin Li, Ji (…)2026-09-29
⚛️ high-energy experiments

A high-flux electron detection system to measure non-linear Compton scattering at LUXE

This paper presents the development, testing, and performance evaluation of a high-flux electron detection system combining a scintillating screen and a Cherenkov-based segmented detector, demonstrating its feasibility for measuring non-linear Compton scattering in the LUXE experiment at DESY.

Antonios Athanassiadis, Oleksandr Borysov, Florian Burkart, Hannes Dinter-Habermeier, John Hallford, Beate Heinemann, Lo (…)2026-09-29
⚛️ general relativity

MAGGIE: A Magnetic Gravitational Wave Induction Experiment

The paper introduces MAGGIE, a novel European lumped-element experiment utilizing a 14 T solenoid and a specialized figure-8 pickup loop to detect high-frequency gravitational waves in the kHz–MHz range by measuring GW-induced electromagnetic currents, with projected sensitivities capable of constraining unexplored parameter spaces for both transient and continuous signals.

Jasper Jödicke, Marios Maroudas, Toma-Stefan Cezar, Dieter Horns2026-09-28
🔬 physics

Point-cloud generative models for fast calorimeter simulation across particles and geometries

This paper presents a suite of generative point-cloud models—CaloClouds3, CaloHadronic, and AllShowers—that significantly accelerate and unify calorimeter simulation for diverse particle types and geometries, while cross-geometry transfer learning further reduces training data requirements by orders of magnitude.

Thorsten Buss, Henry Day-Hall, Frank Gaede, Gregor Kasieczka, Katja Krüger, Anatolii Korol, Thomas Madlener, Peter McKeo (…)2026-09-28
⚛️ high-energy experiments

Parnassus for the CLD Detector: A Generative Machine-Learning Surrogate for Detector Simulation and Reconstruction at the FCC-ee

The paper introduces Parnassus, a generative machine-learning surrogate based on conditional flow matching that emulates full Geant4 simulation and Pandora reconstruction for the CLD detector at the FCC-ee, achieving generation speeds orders of magnitude faster than traditional methods while preserving high-fidelity kinematic, particle-ID, and flavor-tagging performance.

Umar Sohail Qureshi, Benjamin Nachman, Caterina Vernieri2026-09-28