2131 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.
Using 171 fb of proton-proton collision data at = 13.6 TeV collected by the CMS detector, this paper reports the first measurements of WW and WZ vector boson scattering cross sections in all-leptonic final states, achieving a significance greater than five standard deviations for both processes.
This paper presents the research and development of a cost-effective cosmic ray detection module utilizing liquid scintillator and wavelength-shifting fibers, demonstrating through prototype testing that it offers a viable solution for background rejection in neutrino physics and rare event searches.
This paper presents a numerical study of MRW-type unintegrated double parton distribution functions constructed from non-factorized GS09 collinear DPDFs, comparing the performance and characteristics of double modified KMRW, double virtuality ordered MRW, and a normalization-matched variant to analyze their transverse momentum dependence, normalization properties, and sensitivity to longitudinal correlations.
This paper presents a comprehensive study of inclusive charm and bottom quark pair production cross sections across a wide range of collision energies using next-to-next-to-leading-order (NNLO) calculations with the new MaunaKea code, demonstrating that these advanced predictions significantly enhance accuracy and reduce theoretical uncertainties compared to previous NLO results, thereby achieving agreement with experimental data and offering valuable constraints on gluon density and the bottom-quark mass.
Using 13 TeV proton-proton collision data from the ATLAS detector, physicists have achieved the first observation of the meson, a new vector state decaying into a meson and a photon, with a statistical significance exceeding 8 standard deviations.
This paper demonstrates that adversarial training enhances the robustness of deep learning-based jet flavor tagging algorithms against input distortions, which serve as a proxy for systematic uncertainties, by leveraging geometric insights from the loss surface to maintain high performance while mitigating model vulnerabilities.
This paper proposes a novel scheme for detecting wave-like dark matter, specifically dark photons, by utilizing large ensembles of Rydberg atoms trapped in optical tweezer arrays to observe DM-induced excitations between energy levels, with the ability to scan different dark matter masses via external magnetic field tuning.
This paper presents an updated set of isoscalar multiplicities for charged pions, kaons, and unidentified hadrons measured by the COMPASS Collaboration, incorporating improved QED radiative corrections via the DJANGOH Monte Carlo generator to ensure consistency with recent proton-target results and superseding previous 2017 publications.
This paper introduces Collider-Bench, a novel benchmark designed to evaluate the ability of autonomous AI agents to reproduce complex Large Hadron Collider particle physics analyses using public resources, revealing that current general-purpose coding agents still fall short of human physicists in reliably executing these tasks.
This paper identifies and quantifies a significant new source of millicharged particles at the LHC, demonstrating that secondary showers in the forward TAXN absorber can enhance the expected signal yield for the proposed FORMOSA detector by approximately 50% for light masses, thereby establishing downstream production as a critical component for realistic sensitivity projections in future high-luminosity searches.