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 introduces the data-driven ARGOS metric, a theoretically grounded and empirically robust tool for selecting the most sensitive anomaly detection models in a model-agnostic way, demonstrating its superiority over existing metrics like binary cross-entropy loss in tasks such as hyperparameter tuning and feature selection.
This study investigates the structural effects of , , and mesons on Be nuclei using HAL QCD potentials and the Gaussian expansion method, revealing that the meson strongly binds the system into stable states while and interactions are weaker and form only shallow bound states, with specific predictions for new -charmonium bound states and the non-Borromean nature of .
The paper introduces EveNet, a foundation model pretrained on 500 million simulated collision events that leverages a hybrid learning objective to outperform state-of-the-art methods in diverse high-energy physics tasks, demonstrate exceptional data efficiency, and successfully validate its transferability to real experimental data for precision physics and discovery.
This paper investigates the pair production of charged scalars () within the scotogenic model, demonstrating that the process is dominated by -channel exchange of singlet right-handed fermions (including the dark matter candidate) and providing predictions for future high-energy colliders to test the model's parameter space.
This paper proposes that exclusive heavy (axial-)vector meson production in lepton-proton collisions at the Electron-Ion Collider can serve as a unique experimental probe for the elusive gluon generalized transverse momentum-dependent distributions and by analyzing specific azimuthal-angle-dependent observables arising from virtual-photon polarization interference.
This paper presents a study analyzing representative heterogeneous applications from major High Energy Physics experiments to identify key characteristics that influence performance across various GPU portability layers, thereby guiding developers in selecting the most suitable technology for their specific needs.
This paper presents a state-of-the-art machine-learning-based particle-flow (MLPF) algorithm implemented on GPUs within the CMS framework, which unifies event reconstruction into a single model while achieving comparable physics performance to standard methods, significantly improved jet energy resolution, and a fivefold reduction in inference time.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS experiment, this paper presents the first search for long-lived stau pair production employing a graph neural network to identify displaced tau leptons, resulting in improved exclusion limits on stau masses and decay lengths within gauge-mediated supersymmetry-breaking models.
This study explores the novel application of repurposed Water Cherenkov Detectors for high-resolution, non-invasive soil moisture monitoring in precision agriculture, demonstrating through experiments and simulations that this cosmic-ray-based approach offers a scalable and sensitive alternative to conventional methods for optimizing water use.
This paper presents the first lattice QCD calculation of the irreducible Standard Model background for the decay, determining the branching fraction for to be to provide a critical benchmark for dark matter searches.