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

Weibel-mediated filamentary structures observed in the ICF context

This paper demonstrates through theoretical and particle-in-cell modeling that transverse ballistic cooling in expanding laser-irradiated plasma plumes drives Weibel-mediated electron current filaments, successfully explaining magnetic fluctuation data from OMEGA and Laser Megajoule experiments.

C. Ruyer, S. Bolaños, P. E. Masson Laborde, L. Gremillet, N. Blanchot, G. Boutoux, W. Cayzac, C. Courtois, S. G. Dannhof (…)2026-05-12
⚛️ nuclear experiments

Construction, commissioning, and beam test of a pilot 3D-projection opaque water-based liquid scintillator detector

This paper reports the successful design, construction, and beam testing of a pilot 3D-projection detector using opaque water-based liquid scintillator (oWbLS), demonstrating its effective optical confinement and high timing resolution to validate the technology as a scalable concept for future particle physics experiments.

H. Che, M. V. Diwan, S. Gokhale, P. Kumar, C. Reyes, R. Rosero, J. J. Wang, G. Yang, M. Yeh2026-05-12
⚛️ high-energy experiments

In-situ high voltage generation with Cockcroft-Walton multiplier for xenon gas time projection chamber

The authors successfully demonstrated a new in-situ Cockcroft-Walton high-voltage generation system integrated into the AXEL xenon gas time projection chamber, which eliminated the need for external high-voltage feedthroughs and achieved an energy resolution of 0.67% at 2615 keV during a 40-day operation at 6.8 bar.

Shinichi Akiyama, Junya Hikida, Masashi Yoshida, Kazuhiro Nakamura, Sei Ban, Masanori Hirose, Atsuko K. Ichikawa, Yoshih (…)2026-05-11
⚛️ high-energy experiments

Ultralight dark matter detection with trapped-ion interferometry

This paper proposes using a single trapped ion prepared in a spin-motion entangled "Schrödinger cat" state as a matter-wave interferometer to detect ultralight dark matter, demonstrating that this approach offers parametrically enhanced sensitivity to probe unexplored regions of dark-photon and axion-like particle parameter space in the 10−1510^{-15} to 10−1410^{-14} eV mass window.

Leonardo Badurina, Diego Blas, John Ellis, Sebastian A. R. Ellis2026-05-11
⚛️ high-energy experiments

Quantum-Enhanced Dark Matter Search Using Cat States

This paper reports the first experimental demonstration of using four-component cat states in a superconducting microwave cavity to search for dark photons, achieving an 8.1-fold signal enhancement and setting an unprecedented constraint on the kinetic mixing angle of ϵ<7.32×10−16\epsilon < 7.32 \times 10^{-16} near 6.44 GHz.

Pan Zheng, Yanyan Cai, Bin Xu, Shengcheng Wen, Libo Zhang, Zhongchu Ni, Jiasheng Mai, Yanjie Zeng, Lin Lin, Ling Hu, Xia (…)2026-05-11
⚛️ high-energy experiments

Adapting Vision-Language Models for Neutrino Event Classification in High-Energy Physics

This paper demonstrates that fine-tuned Vision-Language Models, specifically a variant of LLaMA 3.2, outperform traditional convolutional neural networks and vision-only transformers in classifying neutrino interactions in high-energy physics by achieving superior accuracy, robustness, and interpretability through multimodal reasoning.

Dikshant Sagar, Kaiwen Yu, Alejandro Yankelevich, Jianming Bian, Pierre Baldi2026-05-11
⚛️ phenomenology

Unbinned extraction of γ\gamma from B→DKB\to DK with normalizing flows

This paper introduces and validates an unbinned method using normalizing flows to extract the CKM angle γ\gamma from B±→(D→KSπ+π−)K±B^\pm \to (D \to K_S \pi^+ \pi^-) K^\pm decays, demonstrating its ability to accurately recover γ\gamma and other parameters from Monte Carlo data while propagating statistical uncertainties through ensemble training.

Yuval Grossman, Tony Menzo, Stefan Schacht, Chinhsan Sieng, Jure Zupan2026-05-11