2117 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 demonstrates that in particle physics, where high-fidelity simulators enable cheap synthetic data generation, the scaling behavior of hadronic jet classification models can be engineered to prioritize data diversity and alignment over model size by strategically curating pretraining datasets.
This paper proposes a theoretically grounded method for extracting charmonium branching fractions from radiative decays that resolves tensions between experimental data and theoretical predictions by eliminating the need for empirical damping functions in photon line shape analysis.
This paper investigates the production of heavy neutral leptons at multi-TeV muon colliders via new vector boson fusion processes involving a boson and heavy Higgs, demonstrating that these mechanisms offer enhanced, mixing-angle-independent pathways to probe lepton number violation compared to standard model channels.
This paper investigates the discovery potential at the High-Luminosity LHC for non-standard decays of vector-like top partners into charged Higgs bosons and subsequent tau leptons within a 2-Higgs doublet model, demonstrating that the resulting final state can probe vector-like top partner masses up to approximately 1.9 TeV.
This paper reports high-precision measurements of the masses of the and baryons and their antiparticles using ALICE data from LHC proton-proton collisions, achieving fractional uncertainties of approximately 60 parts per million to establish new benchmarks for strange-baryon spectroscopy, test CPT invariance, and significantly reduce scale uncertainties in lattice QCD calculations.
The ALICE collaboration presents the first event-by-event measurement of probability distributions for strange-hadron multiplicities in proton-proton collisions at 5.02 TeV, providing a novel test of strangeness production mechanisms that extends beyond mean yields to probe large imbalances between strange and non-strange content.
The ATLAS experiment presents measurements of charged-particle pseudorapidity and transverse momentum distributions in O+O and Ne+Ne collisions at TeV, characterizing these observables across various centrality intervals and comparing the results with hydrodynamic calculations.
This paper presents comprehensive theoretical calculations for LDMX, DarkSHINE, and LOHENGRIN experiments that extend beyond standard coherent Bethe-Heitler scattering by including higher-order electromagnetic and kinetic mixing effects, finding that while these contributions have limited impact on signal and background predictions, the LOHENGRIN experiment specifically requires a hadronic calorimeter extension to effectively veto diffractive scattering backgrounds.
This paper proposes and analyzes a resonant heterodyne up-conversion method for the RADES-BabyIAXO haloscope, demonstrating that a specific cavity mode configuration can significantly improve sensitivity to low-mass dark matter axions in the 1–35 MHz range, potentially probing couplings as low as .
This paper demonstrates that the four-fold discrepancy in recent limits on the decay arises from the choice of kinematic variables, showing that fine-grained binning in the reconstructed di-neutrino invariant mass () is essential for resolving narrow axion signals while BDT-based approaches dilute sensitivity, thereby advocating for the publication of likelihoods in physical variable spaces to ensure robust reinterpretability.