2503 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 a large sample of events collected by the BESIII detector, this study confirms a significant threshold enhancement in the mass spectrum with over 10 significance and demonstrates that the QCD multipole expansion model provides a superior description of the full spectrum compared to chiral perturbation theory.
This paper presents recent LHCb results on rare transitions, highlighting persistent tensions with Standard Model predictions in processes like , offering new theoretical insights through amplitude analyses, and reporting innovative measurements of the branching fraction and the first hadron collider determination of the lepton flavor universality ratio for at high .
This paper evaluates supervised and self-supervised neural embedding strategies for anomaly detection at the HL-LHC using the COLLIDE-2V dataset, demonstrating that supervised approaches outperform others and introducing a local diagnostic pipeline that profiles flagged events and ranks observables to bridge the gap between model-agnostic detection and physical interpretation.
The nCTEQ collaboration presents nCTEQ26, a new set of nuclear parton distribution functions derived from a global analysis incorporating the largest selection of experimental data to date—including DIS, Drell-Yan, and collider measurements—alongside an advanced parametrization and data-driven approach to determine uncertainties and validate consistency.
The paper presents MUFFIN, a machine-learning method using boosted decision tree reweighting to estimate backgrounds from jets misidentified as hadronic tau leptons in CMS data, which significantly improves kinematic modeling and reduces associated systematic uncertainties by up to 70% compared to traditional low-dimensional parametrisation techniques.
This paper presents a GENEVA framework for NNLO+PS matching of transverse observables by embedding NLL resummation and introducing generalized -jettiness resummation up to NLL accuracy, demonstrated through a Higgs boson production generator in heavy-quark annihilation.
This paper presents an updated sensitivity analysis for the JUNO experiment, demonstrating that its unprecedented data collection capabilities will enable world-leading precision in measuring total geoneutrino flux and separating Uranium-238 and Thorium-232 contributions within a decade, thereby providing crucial insights into Earth's composition and heat budget.
This paper presents the first exploratory lattice QCD calculation of nucleon unpolarized, helicity, and transversity parton distribution functions using a novel Coulomb gauge boosted-correlator method within Large-Momentum Effective Theory, demonstrating that the approach yields results consistent with global analyses and phenomenology while highlighting specific challenges with excited-state contamination in imaginary matrix elements.
This paper proposes a 3+1 neutrino model where sterile neutrinos interact via a novel, density-dependent matter potential to simultaneously resolve long-standing oscillation anomalies across diverse energy scales, including tensions between NOvA and T2K, the Super-Kamiokande atmospheric excess, and IceCube high-energy data, while remaining consistent with disappearance searches and testable by KATRIN.
This paper demonstrates that models of Strongly Interacting Light Higgs with partial compositeness can evade stringent constraints from and electron EDM measurements by invoking accidental or symmetries, thereby allowing the compositeness scale to reside in the few-TeV range and making it accessible to upcoming charged lepton flavor violation experiments and collider searches.