1442 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 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.
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 to eV mass window.
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 near 6.44 GHz.
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.
This paper demonstrates that thin aluminum coatings (50–100 nm) effectively suppress optical backgrounds in skipper-CCDs for space-based X-ray astronomy while preserving high detection efficiency for X-rays, offering a low-cost solution for optical shielding.
This paper introduces and validates an unbinned method using normalizing flows to extract the CKM angle from decays, demonstrating its ability to accurately recover and other parameters from Monte Carlo data while propagating statistical uncertainties through ensemble training.
This paper investigates the general structure of multi-axion solutions to the strong CP problem, deriving a universal sum rule that reveals diverse phenomenological patterns and mass-coupling relations beyond the standard single-axion paradigm, thereby motivating an expanded experimental search program.
This paper demonstrates that the Inert Two-Higgs Doublet Model (IDM) parameter space explaining Galactic Center gamma-ray and AMS-02 antiproton anomalies via annihilation in the 70–75 GeV dark matter mass range can be effectively probed and largely tested at the High-Luminosity LHC through a novel mono- channel-separation strategy targeting specific inert scalar mass splittings.
This paper reports the sub-nanosecond characterization of micro-spill structures in medical cyclotron and synchrotron beams using high-frequency silicon carbide sensors, demonstrating how precise knowledge of beam time structure is essential for mitigating pulse pileup and optimizing readout electronics for particle physics experiments.
Using 8.4 fb of LHCb Run 1 and Run 2 data, this study performs a comprehensive violation analysis of the decay by fitting angular observables with nonlocal hadronic amplitudes, achieving an order-of-magnitude improvement in precision for -violating Wilson coefficients while finding no significant deviation from the Standard Model.