2517 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 demonstrates the successful implementation of neural networks on the front-end electronics of silicon particle detectors to perform real-time probabilistic inference of charged-particle kinematics, thereby enabling intelligent data selection at the sensor edge under strict constraints on bandwidth, latency, and power.
This paper presents a validated framework for reconstructing and identifying electromagnetic showers in the FASERnu emulsion detector using CERN test-beam data, achieving high background rejection and energy resolution through a multi-level selection algorithm and a clustering-based reconstruction method.
This paper analyzes recent LHC rate shifts in electroweak single top-quark and top-associated Higgs production using Standard Model Effective Field Theory to identify a specific pattern of dipole and gauge deformations, concluding that while no single weakly coupled particle multiplet can explain the data, a minimal multi-threshold vector-like-quark sector offers a viable, albeit complex, ultraviolet origin consistent with current experimental constraints.
This paper presents a method for reconstructing high-fidelity, voxelized 3D light yield maps in surface liquid argon time projection chambers by utilizing crossing cosmic muons and solving a regularized inverse problem, which significantly improves spatial accuracy and stability compared to detector-wide averages.
This paper introduces a unified Fourier-space framework that expands detector resolution functions, modeled as a Gaussian convolved with an analytic kernel, into a series of Gaussian derivatives to provide a common language for comparing and constructing non-Gaussian parametrisations in spectroscopy and high-energy physics.
This paper demonstrates that a regression-based machine learning approach can significantly enhance the resolution and reduce biases of CMS data scouting objects (electrons and jets) to match offline-like quality, effectively bridging the gap between online and offline reconstruction and allowing scouting data to be treated with standard central calibrations.
This paper presents a systematic evaluation and simulation-based analysis of how environmental stressors, specifically temperature and humidity variations, impact the performance of Low Gain Avalanche Diode (LGAD) sensors fabricated at Brookhaven National Laboratory.
This paper presents a novel lattice QCD calculation of the neutron electric dipole moment induced by the QCD theta term using the Feynman-Hellmann theorem and background electric fields, yielding a result that confirms the strong-CP problem by constraining the theta angle to .
This paper incorporates the resonance into heavy-baryon chiral perturbation theory calculations to show that it restores power counting for the axial-vector charge, significantly reduces the QED radiative correction to the ratio, and increases pion-induced radiative corrections to inverse beta decay by a factor of 1.2–1.3.
Using a dataset corresponding to 428 fb of integrated luminosity, the Belle II collaboration searched for the lepton-flavor-violating decay , found no significant excess over the expected background, and set an upper limit on the branching fraction of at the 90% confidence level.