1467 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 the perturbative QCD approach, this paper analyzes resonance contributions from and mesons and their excited states to the three-body decays , revealing that virtual contributions from the tails of and are comparable to those from higher resonances and thus constitute a significant component of these decays.
This paper presents a comprehensive framework for modeling complex systems of oscillating and decaying neutrinos using open quantum system methods, specifically demonstrating that the Lindblad master equation, Liouvillian superoperator, and Kraus operators offer a fully general and numerically superior approach compared to traditional differential equation solutions.
This paper introduces the Particle transformer (PaRT), a novel deep neural network based on self-attention that achieves high-efficiency tagging of Lorentz-boosted Higgs bosons decaying to W boson pairs in CMS data while maintaining decorrelation from jet mass, thereby enhancing the sensitivity of Standard Model measurements and beyond-the-Standard-Model searches.
This proceeding summarizes recent studies on semileptonic and leptonic decays using combined Belle and Belle II datasets to test lepton flavour universality and improve the precision of inclusive and determinations.
The NA61/SHINE Collaboration presents results from a comprehensive two-dimensional scan of collision energy and system size to investigate the onset of deconfinement and baryon transport mechanisms in strongly interacting matter, highlighting key findings such as the ratio and comparisons with previous NA49 data.
This paper presents a brief biography of William A. Bardeen (1941–2025), an American theoretical physicist at Fermilab renowned for his foundational contributions to the chiral anomaly, quantum chromodynamics, dynamical electroweak symmetry breaking, and heavy-light quark bound states.
The paper proposes DREAMuS, a fixed-target experiment at HIAF designed to search for GeV-scale muon-philic dark matter mediated by light flavor-violating bosons, demonstrating competitive sensitivity to couplings around and highlighting the enhanced discovery potential of a complementary beam option for sub-200 MeV dark matter.
This paper presents recent BESIII collaboration results on charmed purely leptonic and semileptonic decays, including measurements of branching fractions, CKM matrix elements, decay constants, form factors, and tests of lepton flavor universality derived from data collected at various center-of-mass energies.
This paper utilizes QCD sum rule methods to model the resonance as a all-charm tetraquark in a diquark-antidiquark configuration, calculating its mass and decay widths to demonstrate consistency with experimental data and support its interpretation as a tensor state.
Using 138 fb of 13 TeV proton-proton collision data from the CMS detector, this study presents the first fully hadronic search for a heavy vector-like top quark () decaying to a top quark and a neutral scalar boson (), setting the most stringent limits to date on masses above 2 TeV and excluding masses between 0.85 and 1.3 TeV for a standard model Higgs boson scenario without observing any significant excess over background predictions.