2610 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 paper introduces MEDIC, a simulation-driven neural network framework that leverages machine learning to automate anomaly detection and localize faulty components in particle physics detectors, serving as a foundational step toward advanced data quality monitoring systems for future collider experiments.
This paper investigates a string closepacking mechanism during hadronization that increases effective string tension to explain the LHC-observed rise in strange-hadron production with multiplicity, a model that successfully tunes to data and qualitatively describes many particle ratios despite challenges with the non-strange p/pi ratio and specific spectral shapes.
This paper presents the precise measurement of muon fluxes in the forward pseudorapidity region of the SND@LHC experiment using 2023–2025 proton and heavy-ion collision data, reporting values that agree with Monte Carlo predictions and are dominated by systematic uncertainties.
This paper demonstrates that reconstructing spin density matrices via quantum tomography and analyzing quantum information-inspired observables for near-threshold top-antitop production at the LHC significantly enhances the sensitivity to detect subtle toponium formation effects.
This paper characterizes the performance and durability of various UV optical components, including fibers, connectors, and diffusers, under cryogenic and high-rate conditions, demonstrating their reliability for in situ calibration of photosensors in large-scale liquid argon time projection chambers like DUNE.
This workshop report outlines a comprehensive strategy for advancing sustainability and ethics in ErUM-Data research by integrating technical measures like CO2 reduction and AI governance with cultural shifts in education, funding, and community engagement to embed responsible practices into everyday scientific workflows.
This paper presents a systematic QCD sum-rule analysis of charged kaons in hot and dense matter, deriving their in-medium masses and decay constants to reveal a significant mass splitting driven by baryonic interactions and identifying a critical density threshold that signals the onset of chiral symmetry restoration.
This paper derives the probability for chiral oscillation of Majorana neutrinos within quantum field theory by utilizing the Bogoliubov transformation to relate lepton number eigenstates at different times, thereby characterizing the time variation of lepton number as a transition amplitude.
This paper investigates the interplay between dark matter scattering and light mediator absorption in direct detection experiments for Dirac and atomic dark matter models, identifying viable parameter spaces constrained by cosmology and astrophysics while highlighting the importance of distinguishing these signals to uncover the underlying physics.
This paper presents a detailed background mitigation analysis for the DUNE near detector, evaluating its capability to constrain or discover long-lived beyond-Standard-Model particles by investigating hard electromagnetic signatures in , , , and final states while accounting for realistic neutrino-induced backgrounds and detector effects.