1404 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.
The paper introduces "AutoDQM," an automated data quality monitoring system for the CMS detector that utilizes unsupervised machine learning and statistical techniques to identify anomalous data at a rate 4 to 6 times higher than that of good data, thereby enhancing the rapid assessment of detector performance.
The paper introduces "OmniLearn," a jet-physics foundation model that leverages a representation learned from a specific multiclass generation and classification task to simultaneously enhance the accuracy, precision, and speed of diverse downstream jet physics tasks across different datasets, collision systems, and analysis goals.
Using lattice QCD with domain-wall and anisotropic clover quark actions, this study calculates the form factors for semileptonic decays and predicts decay rates that are higher than both previous lattice results and experimental measurements, yet consistent with approximate $SU(3)$ flavor symmetry expectations.
This paper proposes a holistic approach and Advanced Color Singlet Identification (ACSI) using state-of-the-art AI to simultaneously classify physics events and associate final-state particles with parent bosons, significantly improving the accuracy of Higgs boson decay measurements at future high-energy colliders.
This paper derives updated constraints on flavor-violating boson couplings to quarks, demonstrating that low-energy flavor experiments currently provide significantly tighter bounds (ranging from to ) than existing collider searches and presenting future sensitivity projections.
This paper proposes an extended inelastic Higgs-portal complex singlet model that simultaneously explains dark matter, the Galactic Center gamma-ray excess, and the baryon asymmetry of the universe through a two-step electroweak phase transition featuring spontaneous CP violation, while predicting gravitational wave signals detectable by future space-based observatories.
This study demonstrates that Tera-Z factories like FCC-ee and CEPC can significantly improve upon LEP's sensitivity to the rare decay by using Effective Field Theory and detailed simulations to constrain anomalous couplings and probe new physics at branching ratios of order .
Using a dataset of 121.3 million decays collected by the BaBar detector, this study presents the first measurements of angular distributions and improved branching fractions for transitions while finding no evidence for the decay mode.
This paper updates the sensitivity projections for minimal heavy neutral leptons at LHC far detectors and SHiP by incorporating the latest experimental designs, including revised geometries, background estimates, and operational durations, into the Displaced Decay Counter tool.
This paper reports the successful characterization of an FBK NUV-HD-cryo silicon photomultiplier operated at 9.4 mK within a dilution refrigerator, demonstrating its viability for detecting cosmic-ray muons in low-background dark matter experiments like QUEST-DMC.