2160 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 calculates the tensor-polarized twist-3 parton distribution function for the spin-1 deuteron by applying twist-2 relations to the known twist-2 function , demonstrating that is comparable in magnitude to and suggesting that current and future facilities like JLab and the EIC are well-suited to investigate these higher-twist effects.
This paper presents an enhanced version of the TrackFormers framework for High-Energy Physics track reconstruction, introducing custom Transformer attention mechanisms, a novel geometric projection with lightweight clustering, and joint model conditioning to improve both accuracy and efficiency for upcoming High-Luminosity LHC data challenges.
This paper reviews the latest experimental results from the 18th Workshop on Top-Quark Physics, highlighting how the field has evolved over thirty years from initial discovery to a mature era characterized by precision measurements, new scattering processes, and the detection of subtle effects through refined techniques.
This paper outlines the development, production procedures, and advantages of Belle II's run-dependent Monte Carlo simulations, which utilize time-dependent detector conditions and beam backgrounds to achieve higher granularity and accuracy compared to traditional run-independent methods.
This paper summarizes the main features, Run-3 performance, and physics impact of the upgraded ATLAS Trigger system, which was enhanced to handle increased luminosity and pile-up conditions while reducing the event rate for offline analysis.
This paper presents the first CMS measurement of the -channel single top quark production cross section in proton-proton collisions at TeV, utilizing 302 pb of 2017 data to report combined and individual cross sections for top quarks and antiquarks that are consistent with Standard Model predictions.
Using the full MicroBooNE dataset, this paper presents a new measurement of the electron neutrino-argon differential cross section without pions in the final state, revealing good agreement with generator predictions for lepton kinematics but notable discrepancies in hadronic system modeling, particularly regarding proton angles.
This paper projects the sensitivity of paleo-detectors to various non-relativistic effective field theory dark matter-nucleus interactions, demonstrating that they offer superior or comparable discovery potential to current conventional direct detection experiments across a wide range of dark matter masses and interaction types.
This paper evaluates the feasibility of deploying AMD Versal AI Engines for fixed-latency machine learning applications in high-energy physics experiments by demonstrating the performance of vectorized Boosted Decision Trees and Convolutional Neural Networks as alternatives to traditional programmable logic.
This paper introduces the CONSERVAttack, a novel adversarial method designed to expose hidden vulnerabilities and uncertainties in machine learning models used in High Energy Physics by exploiting deviations between simulation and data that evade standard physical validation checks, while also proposing strategies to mitigate these risks.