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.

🔬 physics

CMOS Image Sensors for CEvNS Detection at Nuclear Reactors

This paper proposes and analyzes a CMOS image sensor-based detector with active shielding and optimized readout parameters, demonstrating its feasibility for detecting coherent elastic neutrino-nucleus scattering (CEvNS) from nuclear reactors within days to weeks, thereby establishing CIS technology as a promising platform for reactor monitoring and precision neutrino measurements.

Santiago Ezequiel Perez, Dario Rodrigues, Miguel Sofo-Haro2026-08-11
⚛️ high-energy experiments

Axion dark matter search with a photonic bandgap cavity haloscope and dielectric tuning rod over 10.25-10.45 GHz

This paper reports the development and application of a new widely tunable photonic bandgap cavity haloscope featuring concentric sapphire shells and a rotating sapphire rod, which achieves high quality factors and rapid scanning speeds to constrain axion-to-photon coupling over the 10.25–10.45 GHz frequency range.

Morgan Lynn (Department of Physics, University of Chicago), Ankur Agrawal (Department of Physics, University of Chicago) (…)2026-08-11
⚛️ high-energy experiments

Topological analysis of scale-invariant spatial fluctuations in ultrarelativistic heavy-ion collisions

This paper presents a novel two-stage topological machine learning framework that combines Topological Data Analysis with deep learning to successfully isolate weak critical fluctuation signals from overwhelming non-critical backgrounds in ultrarelativistic heavy-ion collisions, thereby restoring power-law scaling and enabling the reliable identification of the QCD critical point.

Salman Khurshid Malik, Ramni Gupta, Fakhar Ul Haider, Balwan Singh2026-08-11
⚛️ high-energy experiments

QCD Sum Rule Analysis of Triply Heavy (QQˉ)(Qqˉ)(Q\bar{Q})(Q\bar{q}) Tetraquark States with JP=0±J^P=0^{\pm}

Using QCD sum rules, this study systematically investigates the mass spectra and decay patterns of triply heavy (QQˉ)(Qqˉ)(Q\bar{Q})(Q\bar{q}) tetraquark states with JP=0±J^P=0^{\pm}, predicting specific mass ranges for charmed and bottomed systems and identifying which candidates are likely to be narrow enough for experimental detection.

Wen-Shuai Zhang, Chun-Gui Duan, Zhi-Hui Guo, Liang Tang2026-08-11
⚛️ high-energy experiments

SuperEM: A Sub-meV Threshold Detector Architecture for Cosmic Neutrino Background and Dark Matter Detection

This paper introduces the Superconductor-Coupled Semiconductor Electron-Multiplying (SuperEM) detector, a novel architecture that overcomes the traditional trade-off between sub-meV energy thresholds, fast timing, and scalability to enable the direct detection of the Cosmic Neutrino Background and sub-GeV Light Dark Matter.

Zhenjie Li, Xilei Sun, Xiaoshan Jiang2026-08-11
⚛️ phenomenology

Event Generators for High-Energy Physics Experiments

This paper provides an overview of the current status and future directions of Monte-Carlo event generators for high-energy physics, emphasizing the need for cohesive development, model tuning to experimental data, and open data preservation to reduce systematic uncertainties and ensure consistency across experiments.

J. M. Campbell, M. Diefenthaler, T. J. Hobbs, S. Höche, J. Isaacson, F. Kling, S. Mrenna, J. Reuter, S. Alioli, J. R. An (…)2026-08-10
⚛️ high-energy experiments

Reconstruction of atmospheric neutrinos in DUNE's horizontal-drift far-detector module

This paper demonstrates that incorporating full hadronic system information, rather than just lepton data, significantly improves the reconstruction resolution of atmospheric neutrino direction and energy in DUNE's horizontal-drift liquid argon time projection chamber, establishing a foundation for future oscillation sensitivity analyses.

DUNE Collaboration, S. Abbaslu, F. Abd Alrahman, A. Abed Abud, R. Acciarri, L. P. Accorsi, M. A. Acero, M. R. Adames, G. (…)2026-08-10