1495 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 a RapidSim feasibility study demonstrating that the LHCb experiment can observe the decays and during Run 3 by utilizing direct pixel hits from its VELO detector to overcome missing momentum and vertex limitations, thereby enabling early experimental constraints on these key channels without waiting for next-generation accelerators.
This paper proposes that the resonance is an -wave -- molecular state and supports this hypothesis by calculating its strong decay widths, which reveal a dominant channel and distinctive patterns in multi-pion transitions that serve as experimental signatures for heavy-quark symmetry.
This paper establishes a unified theoretical framework for spin-1 particles by discussing spin density matrix bases, introducing equilibrium distributions, and formulating perfect spin hydrodynamics that parallels the existing description for spin-1/2 particles.
This paper investigates the photoproduction of the exotic charged states and off nuclei using a collision model based on the nuclear spectral function, demonstrating that absolute and relative observables calculated for various internal structure scenarios (compact tetraquarks, molecules, and mixtures) are sensitive enough to distinguish their nature in future high-luminosity electron-ion collider experiments.
This paper advocates for a paradigm shift from static inference-only FPGA accelerators to ultrafast on-chip learning systems that enable real-time model adaptation within the same deterministic, sub-microsecond datapath as inference, thereby empowering closed-loop control in high-frequency scientific and industrial environments.
Using an expanded dataset from the CMS detector, researchers observed three statistically significant all-charm tetraquark candidates (X(6600), X(6900), and X(7100)) in the J/ψJ/ψ mass spectrum, whose interference patterns and mass systematics strongly support their interpretation as radial excitations of a specific diquark-antidiquark configuration.
This paper introduces Vision Calorimeter (ViC), a deep learning-based baseline method that converts electromagnetic calorimeter energy distributions into 2-D images to significantly improve anti-neutron incident position reconstruction and, for the first time, enable the measurement of their momentum.
This paper presents the theoretical framework and detailed experimental design of the Muonium-to-Antimuonium Conversion Experiment (MACE), which aims to discover or constrain charged lepton flavor violation by searching for muonium-to-antimuonium conversion with a sensitivity of approximately .
This paper presents the development and application of convolutional neural networks to improve the reconstruction of low-energy neutrino events in the IceCube-DeepCore detector, enabling precise measurements of neutrino oscillation parameters by estimating key properties such as energy, direction, and interaction vertex.
Using combined data from the Belle and Belle II experiments, this paper reports the first measurement of time-dependent $CP$ asymmetry parameters (, , , and ) in decays, yielding results consistent with zero within uncertainties.