2152 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 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.
This study utilizes Monte Carlo simulations of electron-positron collisions at the FCC-ee with a center-of-mass energy of 240 GeV and an integrated luminosity of 10.8 ab to search for vector-like leptons decaying into electrons and missing transverse energy within a lepton portal dark matter framework, ultimately establishing 95% confidence level exclusion limits on the vector-like lepton mass and Yukawa coupling in the absence of a signal.
This paper outlines the current understanding of how International Linear Collider detector concepts can be adapted for future Higgs Factory facilities with different properties, such as the FCC-ee.
This paper demonstrates that the recently observed need for a right-handed vector boson admixture in neutron decay successfully explains CP-violation effects in neutral meson oscillations (, , , and ) within an extended left-right weak interaction model, suggesting that the nature of CP violation is fundamentally linked to the presence of right-handed currents.
This paper presents a comprehensive Bayesian MCMC analysis of the meson spectrum using standard and logarithmically modified Cornell potentials to rigorously quantify uncertainties, probe the sensitivity of excited states to confinement forms, and provide updated theoretical predictions for future experimental benchmarks.
This paper derives updated supernova constraints on muon-philic scalars and pseudoscalars by incorporating two-photon couplings from muon triangle loops, revealing that while globular-cluster limits dominate for light masses, supernova 1987A gamma-ray observations and energy-loss arguments impose stringent bounds on heavier masses that challenge the viability of these bosons explaining the muon magnetic-moment anomaly.
This paper proposes a novel framework where a spontaneously broken global symmetry generates a residual symmetry that stabilizes dark matter while suppressing proton decay to the one-loop level, thereby linking the proton lifetime to dark matter mass and predicting distinctive TeV-scale leptoquark signatures accessible to current and future experiments.
This paper summarizes the implementation and performance of new machine-learning-based algorithms in the CMS high-level trigger for identifying hadronically decaying tau leptons, utilizing proton-proton collision data at 13.6 TeV collected during 2022–2023.