2092 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.
Based on an amplitude analysis of LHCb data, this paper resolves longstanding puzzles in decays by relaxing unitarity assumptions to achieve better model-data agreement, thereby eliminating the need for ad-hoc scalar components, reversing previous conclusions about dominant decay modes to align with QCD factorisation, and enabling the discovery of ten new intermediate decays.
Using 3 fb⁻¹ of LHCb collision data from 2011–2012, this amplitude analysis of decays reports the first observation of six distinct -violating phenomena, including discoveries in quasi-two-body decays, amplitude-level effects, and significant interference between partial waves.
Using a data sample collected by the BESIII detector, this study presents a high-precision measurement of the space-like transition form factor over the range of $0.1$ to , achieving uncertainties better than for and providing the first direct determination below .
This paper presents a generative surrogate framework using fine-tuned Normalizing Flows with transfer learning to efficiently simulate the ALICE Zero Degree Calorimeter's responses to various particles, introducing physics-motivated metrics to validate its superior performance over traditional Monte Carlo methods.
Newtrinos.jl is an open-source, modular Julia package that enables flexible, parallelizable, and automatically differentiable global analyses of neutrino data by integrating diverse experimental datasets with various physics models through a unified statistical framework supporting both Frequentist and Bayesian inference.
This paper introduces MANGO, a fully differentiable neutrino oscillation engine that enables efficient, end-to-end gradient-based analysis of complex propagation scenarios and experimental designs by computing sensitivities for all inputs—including Earth density profiles and detector parameters—with minimal computational overhead.
This paper proposes a method to utilize low-density detectors containing both oxygen and hydrogen targets to accurately characterize neutrino-oxygen interactions and measure nuclear effects and flux in-situ, thereby reducing key systematic uncertainties for long-baseline neutrino oscillation experiments.
This paper presents the successful upgrade of the NEON experiment's NaI(Tl) crystal encapsulation design, which resolved liquid scintillator leakage issues that previously caused noise and gain drops, thereby enabling stable long-term operation with an increased detector mass of 16.7 kg.
This paper presents the release notes for CONTUR version 3, detailing its enhanced capabilities for constraining new physics theories using RIVET's extensive library of LHC measurements through improvements in statistical treatments, efficiency, plotting utilities, and the inclusion of new data and Standard Model predictions.
The paper argues that collider experiments cannot provide unconditional proofs of entanglement or test locality via Bell's inequalities because the measurement of commuting final-state momenta allows for the construction of a local hidden variable theory that reproduces the observed data while satisfying Bell's inequality.