2503 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.
This study demonstrates that optimized polyurethane-based scintillators doped with PPO and POPOP offer fast timing, high light output, and scalable meter-scale fabrication for large-area particle detectors, while exhibiting recoverable radiation damage after proton irradiation.
This paper presents a phenomenological study combining low- and high-transverse-momentum contributions to estimate the longitudinal unpolarized structure function in SIDIS, revealing that its sizable ratio to the transverse structure function () necessitates its inclusion for accurate interpretation of experimental data and motivates dedicated measurements to further constrain this longitudinal contribution.
Initial results from the JUNO Collaboration provide strong experimental support for a novel empirical relation between neutrino mass-squared differences, revealing a central value of $1.4143$ that aligns with the predicted within $0.03$ standard deviations and suggesting an underlying symmetry in the neutrino mass spectrum.
This paper evaluates Logic Neural Networks (LNNs) as a reconfigurable, radiation-robust, and resource-efficient solution for on-chip machine learning in next-generation particle physics pixel detectors, enabling complex inference and post-deployment adaptation where traditional methods fail.
This paper demonstrates that the \textit{smartpixels} neural network classifier for real-time track filtering in high-granularity pixel detectors maintains robust performance across varying sensor geometries, magnetic fields, and noise levels, with significant efficiency losses due to radiation damage being largely recoverable through network retraining.
This paper reviews the critical impact of uncertainties in neutrino-nucleus interaction modeling on accelerator-based oscillation measurements and outlines the theoretical and experimental strategies required to mitigate these systematic errors for next-generation experiments.
This paper introduces a novel extension of the sWeight technique that enables rigorous, multidimensional sequential event selection for signal extraction, demonstrating its effectiveness and robustness through a benchmark application on kaon identification in CLAS12 cascade baryon searches.
Using an open quantum system framework to simulate bottomonium evolution in the quark-gluon plasma, the study reveals that while the medium suppresses quantum nonclassicality, a finite residual quantum structure persists due to the preferential dissolution of weakly bound states, demonstrating that classicalization is partial and observable-dependent.
This paper investigates Mixture-of-Experts (MoE) Particle Transformers on the JetClass-II dataset, demonstrating that top-1 MoE configurations can significantly improve classification accuracy over dense baselines with nearly unchanged active computation, while revealing that increased expert storage yields diminishing returns and that routing structure does not strictly correlate with performance.
The COMET Phase- experiment successfully demonstrated the transport of low-momentum negative muons through the Transport Solenoid to the experimental area in 2023, providing the first experimental benchmark of beam characteristics and validating simulation models despite a systematic 30% yield discrepancy.