2113 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 utilizes the Zubarev non-equilibrium statistical operator approach to demonstrate that introducing an effective pion chemical potential successfully explains the low- enhancement in identified particle spectra from LHC heavy-ion collisions, offering a viable alternative to conventional resonance decay explanations.
This paper presents a resonant search for ultralight dark matter using a quantum-limited cavity optomechanical accelerometer that achieved a sensitivity of but detected no signal, thereby validating the platform as a scalable approach for future competitive constraints on vector-mediated dark-matter interactions.
This paper investigates a portal vector-like lepton extension of the Standard Model, demonstrating that a multi-TeV muon collider can significantly enhance the associated production of the Higgs boson with a dark photon () compared to the standard channel, thereby offering a promising avenue to probe dark matter phenomenology, constrain dark photon parameters, and address the muon anomaly.
This paper investigates the "look everywhere" effect in machine learning-based anomaly detection, demonstrating that while training and testing on the same data leads to miscalibrated -values, strategies like k-folding offer an effective balance between statistical calibration and sensitivity to new physics.
This paper demonstrates that in the Two-Higgs-Doublet Model with a heavy scalar , the branching ratios for resonant di-Higgs () and tri-Higgs () production are directly correlated with the decay rate solely by the scalar mass, predicting a fixed ratio of approximately 9.4 between and for masses between 500 GeV and 1 TeV, thereby establishing as the primary probe for heavy scalar resonances at current and future colliders.
This paper presents a study on optimizing the time resolution of Cherenkov-based Time-of-Flight detectors using thin high-refractive-index radiators coupled to Silicon Photomultiplier arrays, validating the design through detailed Monte Carlo simulations and beam test results.
This paper presents the development and validation of a high-precision Cherenkov-based Time-of-Flight detector using high-refractive-index radiators and Silicon Photomultipliers, which achieved a system-level time resolution better than 33.2 ps and 100% detection efficiency through rigorous optimization and CERN beam tests.
This paper demonstrates that AI agents, specifically Claude Code within a "Just Furnish Context" framework, can autonomously execute the entire high energy physics analysis pipeline—from data processing and statistical inference to paper drafting—to produce both established and novel results, suggesting the community must adapt its training and workflows to leverage these capabilities for enhanced scientific discovery.
This paper reports measurements of charged kaon and proton multiplicities in semi-inclusive deep-inelastic scattering at Jefferson Lab, revealing that while kaon data aligns with DSS fragmentation functions for but underpredicts , proton-to-pion ratios significantly exceed TMD predictions at low yet decrease at higher in agreement with Lund Monte Carlo models, with no significant differences observed between proton and deuteron targets.
This white paper introduces a novel, mobile deep-ocean neutrino detector prototype designed to significantly reduce crustal background noise, enabling the first direct measurements of mantle geoneutrinos to constrain Earth's radiogenic heat production and geochemical composition.