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 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.
Using 140 fb of 13 TeV proton-proton collision data collected by the ATLAS detector, this study employs Fourier techniques on quadruple-differential angular decay rates from -channel single-top-quark events to tightly constrain Wilson coefficients of effective field theory operators, finding results consistent with Standard Model predictions.
This paper presents a physics-based machine learning approach using Inverse Autoregressive Flows within a teacher-student framework, enhanced by a novel loss function and scaling mechanism, to achieve a 421-fold speedup in simulating the ALICE Zero Degree Calorimeter while accurately capturing particle shower morphology and mitigating rare artifacts.
Using 138 fb of proton-proton collision data at = 13 TeV, this study searches for new resonances decaying into a Higgs boson and a scalar boson in the bbZZ final state, finding no significant deviations from the Standard Model and setting 95% confidence level upper limits on the production cross sections for both HY and HH scenarios.
The CMS Collaboration presents a comprehensive combined analysis of Higgs boson production and decay using 138 fb of proton-proton collision data at 13 TeV, measuring signal yields across multiple channels and theoretical frameworks that show strong compatibility with Standard Model predictions.
This paper presents a novel Padé-based algorithm that reinterprets Froissart doublets as diagnostic tools to iteratively identify and remove data inconsistencies, thereby enabling the reliable reconstruction of a function's analytic structure from finite datasets without requiring a specific model for the errors.
This paper reports the first temperature-dependent characterization of a NaI(Tl) crystal coupled to dual SiPMs, demonstrating a 34.5% increase in light yield at 238 K and effective thermal noise suppression via coincidence triggers, which collectively offer a promising pathway to lower energy thresholds for low-mass dark matter and coherent elastic neutrino-nucleus scattering searches.
This paper reports the development and successful initial performance of an upgraded NaI(Tl) crystal encapsulation for the COSINE-100U experiment, which enhances light collection and reduces surface backgrounds by eliminating quartz windows and directly coupling PMTs to beveled crystals, thereby improving sensitivity to low-mass dark matter.
This paper investigates the backscattering probability of 4 and 6 keV antiprotons on a Micro-Channel Plate detector used in the GBAR experiment, finding no evidence for backscattering and establishing an upper limit of 14% at a 68% confidence level.