2503 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 demonstrates the detector-level feasibility of measuring quantum entanglement and non-classical spin correlations in events at the Super Tau-Charm Facility (STCF) using and decay channels, projecting high-precision measurements of concurrence and Bell-sensitive observables with an integrated luminosity of .
Using 138 fb of proton-proton collision data at 13 TeV collected by the CMS experiment, this paper presents a search for pair-produced vector-like top quarks decaying into a scalar boson and a standard model top quark, finding no significant evidence for new physics and setting 95% confidence level upper limits on the production cross section.
This paper presents the first third-logarithmic-order prediction for the Higgs jet-vetoed cross section at the LHC, which combines next-to-next-to-next-to-leading order calculations with next-to-next-to-next-to-leading logarithmic resummation to achieve a residual perturbative uncertainty of approximately 3%, marking a significant milestone for precision measurements in the high-luminosity phase.
This paper presents the first comprehensive study of spurious-electron signals in the DarkSide-50 argon TPC, identifying delayed electron release from impurities and potential photo-ionization of the steel grid as key sources to inform background reduction strategies for future low-mass dark matter searches.
This award-winning paper reviews the application of Quantum Information techniques to High-Energy Physics, focusing on the top quark as a relativistic qubit to demonstrate how experimental protocols for quantum tomography led to the highest-energy observations of entanglement by the ATLAS and CMS collaborations, thereby establishing a rich new field of QI in HEP.
This paper introduces a scalable, autoregressive transformer-based framework for generating full collider events using residual-quantized tokens, demonstrating that token-level loss effectively predicts physical fidelity and enabling fast, ML-based surrogates to overcome bottlenecks in High-Luminosity LHC simulations.
This paper demonstrates that a TeV-scale muon collider, by generating a high-energy neutrino flux from muon decays, can achieve a neutrino trident production rate of approximately events per year in a 10 kg detector, enabling high-precision Standard Model tests and significantly extending the sensitivity to new physics such as the boson.
This study demonstrates that a 25% variation in gain layer doping concentration ( to cm) in 4H-SiC LGADs induces a two-order-of-magnitude gain difference, revealing an optimal gain window of 20–80 that minimizes timing jitter to 51.7 ps while highlighting the critical trade-off between electronic noise and multiplication shot noise for device optimization.
Using 138 fb of 13 TeV proton-proton collision data from the CMS experiment, this study presents the first LHC search for dark matter produced with a low-multiplicity jet, employing machine learning to set 95% confidence level upper limits on production cross sections within simplified vector and axial-vector mediator models.
This paper presents the design, implementation, and recent advancements of the Full Event Interpretation (FEI) algorithm at Belle II, detailing its hierarchical reconstruction strategy, multivariate training improvements, calibration techniques, and future developments aimed at enhancing the efficiency and accuracy of exclusive B-meson decay reconstruction.