2591 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 presents a search for a Higgs boson decaying into soft unclustered energy patterns (SUEP) produced in association with a W or Z boson using 138 fb of 13 TeV proton-proton collision data, finding no significant excess over the Standard Model background and setting limits on the production cross section.
The XENONnT experiment reports a 3.3 measurement of coherent elastic neutrino-nucleus scattering from solar B neutrinos, which establishes a "neutrino fog" background that limits light dark matter detection sensitivity while also enabling constraints on the weak mixing angle and physics beyond the Standard Model.
This paper presents a reactor-based search for axion-like particles using a low-background CsI(Tl) detector, demonstrating the potential to probe previously unexplored parameter spaces for ALP masses between 1 keV and 10 MeV, including the cosmological triangle.
Using 2.01×10²¹ protons-on-target from the NuMI beam, the MicroBooNE experiment sets the world's strongest limits to date on the mixing angle of Higgs-portal scalar bosons in the 110–155 MeV mass range by searching for their decays into electron-positron pairs.
This paper presents a comprehensive prediction of particle-induced backgrounds for the NUCLEUS experiment at the Chooz nuclear power plant, demonstrating through environmental measurements and Geant4 simulations that the setup achieves sufficient background rejection to enable the detection of Coherent Elastic Neutrino-Nucleus Scattering with a signal-to-background ratio greater than one in the sub-keV energy range.
Using LHCb data from proton-proton collisions at 5.02 TeV, this paper reports the differential and integrated cross-sections of production and demonstrates a proof-of-principle method for determining the -boson mass from these measurements.
This paper introduces GraphPT, a deep learning model based on a graph neural network U-Net architecture that represents TPC data as point clouds to significantly improve dN/dx reconstruction and particle identification performance, achieving a 10% to 20% enhancement in K/π separation power compared to traditional methods.
This paper derives general formulas for reconstructing the flavor fractions of astrophysical neutrinos at their sources from observed data, revealing an inherent divergence in distinguishing and flavors due to - interchange symmetry in the lepton mixing matrix and demonstrating that only specific combinations of flavor fractions can be precisely extracted under exact symmetry conditions.
This paper demonstrates that the CERN SHiP experiment can probe sequential freeze-in dark matter mediated by dark photons with masses between and $10$ GeV, predicting a specific dark charge and a narrow mixing parameter range () that survives current constraints while remaining testable via proton bremsstrahlung signals.
This paper reports the measurement of production cross-sections from 400 GeV/c protons interacting in a thick molybdenum/tungsten target, finding results consistent with Monte Carlo simulations and the NA50 experiment while observing no significant enhancement from secondary production or cascade collisions within the target.