2610 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 study evaluates the potential of the IDEA detector at the FCC-ee, alongside proposed dedicated LLP detectors like DELIGHT B, to detect long-lived particles arising from Higgs and B-meson decays within a Higgs portal model, finding that cylindrical configurations and DELIGHT B offer enhanced sensitivity against Standard Model backgrounds.
This paper demonstrates that utilizing the unique polarization of baryons produced in decays at the FCC-ee, despite comparable statistical sensitivity to LHCb Upgrade II for individual observables, significantly improves constraints on the Wilson coefficients and through a broader set of accessible angular observables.
This paper describes the design and construction of the BUTTON-30, a 30-tonne hybrid detector installed 1.1 km underground at the Boulby Laboratory to evaluate the potential of simultaneous Cherenkov and scintillation light detection for neutrino interactions in a low-background environment.
The MicroBooNE collaboration presents the first single-differential electron-neutrino charged-current cross-section measurements on argon with final-state protons, reporting a total cross section of that shows good agreement with standard neutrino event generator predictions.
This paper demonstrates that applying Deep Neural Networks to a 2x2 array of linearly-graded Silicon Photomultipliers significantly improves position resolution and linearity while increasing the number of resolvable pixels by a factor of 5.7 to 12.1 compared to traditional reconstruction methods.
This paper presents the first experimental measurement of the strong interaction scattering parameters for the and systems using femtoscopic correlation functions from Pb--Pb collisions at TeV recorded by ALICE, providing crucial benchmarks for low-energy chiral QCD dynamics.
This paper presents a parameter-economical, unified quark-diquark effective mass framework calibrated on baryon spectroscopy and meson splittings to systematically predict the spectra of heavy tetraquarks and pentaquarks while naturally incorporating heavy-quark spin and flavor symmetries.
This paper proposes a covariant orbital-spin decomposed amplitude using massive canonical-spinor variables to streamline partial wave analysis of complex decay chains, a method validated by consistent results in the TF-PWA framework for the decay.
The MAGNETO- experiment utilized a high-statistics measurement of Pu decays with metallic magnetic calorimeters to find no evidence for keV-scale heavy neutral leptons, thereby establishing an upper limit of at 95% confidence for an 11.5-keV HNL mixing with the electron neutrino.
This paper describes the "Fair Universe Higgs Uncertainty Challenge," a pioneering competition in high-energy physics and machine learning that focused on developing analysis techniques to accurately measure uncertainties and provide credible confidence intervals for the cross-section, with results now publicly available on Zenodo.