2551 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 investigates polarization-induced interference and gauge cancellations in high-energy multi-leg processes involving resonant weak bosons by introducing analytical decompositions of polarized propagators and a BRST-guided grouping scheme to refine predictions beyond the narrow-width approximation across various case studies.
The paper discusses the dominance of the imaginary part of the elastic scattering amplitude and advocates for an approximation method based on this dominance.
This paper investigates the dependence of two-particle azimuthal correlations on the forward rapidity gap width in 8.16 TeV pPb collisions to determine if collective flow signatures persist in events enriched with photon-lead and pomeron-lead interactions, comparing the results against previous measurements and modern event generators.
This paper presents a modernized, AI-ready release of approximately 660,000 reconstructed SLD electron-positron collision events and newly digitized internal documentation, converted from legacy formats to facilitate research in both particle physics and machine learning.
This paper demonstrates that the Left-Right Inverse Seesaw model can naturally explain the anomaly by generating a specific negative shift in the Wilson coefficient while suppressing through a non-decoupling charged-scalar/heavy-neutrino box mechanism, all while satisfying stringent flavor and collider constraints.
This paper demonstrates that advanced Deep Learning methodologies applied to low-level calorimeter data can achieve a statistical significance of approximately 4.5σ in detecting heavy CP-even Higgs boson chain decays () produced via Vector Boson Fusion within the Next-to-Minimal Supersymmetric Standard Model at the LHC with 300 fb of integrated luminosity.
This MINERvA study compares triple-differential cross sections for quasielastic-like -hydrocarbon interactions in 3 GeV and 6 GeV beams to test neutrino interaction models, revealing discrepancies that indicate an overestimation of final-state interactions for protons and charged pions in current simulations.
This study utilizes the JAM model and a novel Centrality-Independent Genuine Cumulant Analysis (CIGAR) framework to systematically analyze higher-order proton cumulants in Au+Au collisions at high baryon densities, providing a dynamic non-critical baseline essential for the search for the QCD critical point.
The CMS collaboration presents a search for the single production of a vector-like B' quark decaying to a top quark and a W boson in proton-proton collisions at 13 TeV using 138 fb of data, which sets the most stringent limits to date on the production of narrow-width singlet B' quarks with masses between 0.8 and 1.23 TeV.
This paper introduces HS3, a new implementation-agnostic, human-readable, and extensible serialization standard designed to provide a universal, FAIR-compliant format for representing and exchanging statistical models in high-energy physics, thereby overcoming the limitations of existing software-specific formats.