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 study predicts the existence of -nuclear bound states across various nuclei using in-medium mass shifts from virtual loops, revealing a universal level-spacing pattern that decreases with nuclear mass and could be verified in future experiments at the upgraded JLab facility.
Using LHCb data corresponding to an integrated luminosity of , this study searches for meson decays into four- and six-muon final states via various intermediate particles, finding no evidence for these processes and setting upper limits on their branching fractions ranging from to .
This paper presents the characterization of a 28 nm CMOS ASIC for particle tracking detectors that integrates in-pixel analog signal processing and an on-chip neural network classifier to achieve low noise, high linearity, and effective data reduction with 99.06% agreement between hardware measurements and offline predictions.
This paper presents the public release of FeynRules and UFO model files for the SMEFT, enabling the simulation of dimension-five and dimension-six operators involving right-handed neutrinos, including a specialized implementation for Majorana four-fermion operators compatible with MadGraph5_aMC@NLO.
This paper introduces a transfer learning methodology for fast electromagnetic shower simulation that leverages point cloud representations and pre-training on the International Large Detector to efficiently adapt generative models to new detector geometries with minimal target-domain data, significantly outperforming training from scratch while updating only a fraction of the model parameters.
This paper details the completion and engineering challenges of excavating the world's largest rock cavern, a 69-meter diameter and 94-meter high underground facility for the Hyper-Kamiokande detector, highlighting the use of an information-based design approach to overcome complex geological and structural constraints.
This paper reports evidence for high-energy parity violation in gravitational fields based on an analysis of HERA Compton polarimeter data, suggesting a helicity-dependent gravitational potential that could potentially explain galactic rotational curves without dark matter.
Using archival DELPHI data, this paper demonstrates that charge correlators in hadronic Z-boson decays provide a clean, macroscopic observation of electroweak anomalies, offering a refined method for precision electroweak studies and addressing longstanding tensions in hadronic asymmetry measurements.
This paper proposes projected energy correlators measured on the recoiling QCD radiation of a boson as a benchmark observable for precision QCD at the LHC, presenting the first complete NLO+NNLL matched predictions by combining fixed-order amplitudes, high-order resummation, and non-perturbative matrix elements within a flexible framework that avoids jet algorithms.
This paper presents a systematic Bayesian validation of generative diffusion models for inpainting missing calorimeter data in relativistic heavy-ion collisions, demonstrating their effectiveness in reconstructing energy response, spatial accuracy, and uncertainty calibration across various collision centralities and mask sizes.