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 proposes that axion-like particles (ALPs) with a mass around 10 GeV, produced via Higgs decays, could explain a reported CMS diphoton excess at 13.6 GeV and predict a distinct signature of wide jets with 2-prong substructure forming a 125 GeV resonance at the LHC.
The paper introduces FAST-HEP and its Flow engine, a domain-independent system that uses compiler techniques to separate scientific workflow descriptions from their execution, thereby enabling reproducible, portable, and evolvable data analysis across high-energy physics and other scientific domains.
This thesis investigates the influence of radiative corrections on modeling electroweak processes at future lepton colliders, aiming to enhance the precision of Standard Model tests from the Z pole to multi-TeV energies to address unresolved cosmological questions.
This paper presents a comprehensive study of the radioactive background induced by the JUNO calibration system, demonstrating through material screening, Monte Carlo simulations, and in-situ data validation that its contribution is well-understood, consistent with predictions, and negligible (less than 76 mHz) compared to the design requirement of 200 mHz.
This study demonstrates that Deep Sets models applied to Geant4 simulations of a highly granular lead-tungstate calorimeter can effectively distinguish protons from charged pions across a 10–100 GeV energy range, with performance heavily dependent on detector segmentation and enhanced by the combined use of shower topology, energy deposition, and timing information.
This paper presents cross-section measurements of -boson production in association with high-transverse-momentum jets using 140 fb of 13 TeV proton-proton collision data from the ATLAS detector, focusing on a collinear phase space to test state-of-the-art multi-leg merged Monte Carlo and fixed-order theoretical predictions.
This paper derives Standard Model predictions for CP asymmetries in singly-Cabibbo suppressed decays using approximate symmetry with first-order breaking effects, establishing correlations between specific decay modes to guide future experimental tests and the extraction of key theoretical parameters.
This paper investigates the rare decay within both the Standard Model and scalar leptoquark scenarios, providing theoretical predictions for key observables to guide future experimental searches for new physics at Belle II and LHCb.
This paper proposes a mass-varying sterile neutrino dark matter model, where coupling active and sterile neutrinos to a scalar field generates the observed relic density while simultaneously resolving the Hubble tension, with its parameter space fully testable by future X-ray missions.
This paper introduces the VERaiPHY initiative, a series of articles under the PHYSTAT programme designed to establish rigorous statistical standards for validating and evaluating machine learning techniques in fundamental physics, with this opening article laying the necessary probabilistic, statistical, and machine learning foundations and notation for subsequent contributions.