2101 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.
Using event-shape engineering on 5.02 TeV PbPb collision data from the CMS detector, this study demonstrates that the elliptic flow of prompt D mesons is strongly correlated with that of inclusive charged particles, indicating that initial-state geometry substantially influences charm-hadron flow development.
This paper introduces the Mixed-representation Calorimetric Network (MrCAL), a physics-inspired deep learning model that significantly enhances antineutron reconstruction in electromagnetic calorimeters by achieving up to 96% improvement in momentum-direction precision and enabling the first direct measurement of momentum magnitude solely from ECAL readouts.
The DarkSide-50 experiment conducted the first search for two-neutrino double electron capture in Ar using underground argon, setting a lower limit on the half-life of years at 90% confidence level without observing a significant signal, while projecting a 100-fold sensitivity improvement with the upcoming DarkSide-20k detector.
This paper compares eikonal and U-matrix unitarization schemes to analyze high-energy elastic scattering driven by Pomeron exchange, specifically evaluating how linear versus nonlinear Pomeron trajectories influence the phenomenological description of data and the stability of extracted parameters.
This paper proposes an improved moment QCD sum rule (IMSR) framework that eliminates the subjectivity and inconsistencies of conventional methods by incorporating quark-hadron duality and rigorous parameter constraints to simultaneously determine ground-state masses and coupling constants, as validated by its application to a pseudoscalar tetraquark system.
Using 372 pb of data collected by the CMD-3 detector at the VEPP-2000 collider, researchers measured the cross section for the process in the 1.6–2.0 GeV energy range, identifying 6,300 signal events and finding that the production dynamics are dominated by the final state with potential contributions from the and resonances.
This paper presents a comparison between standard fixed-order NLO QCD predictions and the MiNLO approach for the full off-shell process at 13 TeV, demonstrating how the MiNLO method's dynamic scale setting and Sudakov form factors improve the description of multi-lepton final states through the merging of zero-, one-, and two-jet configurations.
This paper presents the design, construction, and characterization of a fermionic axion interferometer that leverages spin-axion interactions to search for sub-neV axion-like dark matter, ultimately establishing a new limit on its coupling to electrons.
The paper introduces K4GeneratorsConfig, a Python-based package designed to automate the benchmarking and configuration of Monte Carlo event generators for electron-positron colliders, ensuring technical consistency, reproducibility, and seamless integration within the Key4hep software stack.
This paper demonstrates that in the vector portal model, a dark magnetic field generated within the Sun can act as a barrier that deflects low-mass dark matter particles, thereby suppressing the high-energy solar-reflected dark matter flux and necessitating a revision of detection sensitivity for ground-based experiments.