1442 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 proposes replacing traditional per-bin Barlow-Beeston factors and interpolation modifiers with a unified eigenmode basis derived from log-Gaussian Cox process posteriors to efficiently model both statistical and systematic uncertainties in LHC template fits, thereby reducing dimensionality while preserving or bounding the original variance.
Using 13.6 TeV proton-proton collision data, the FASER experiment reports the first differential measurement of the muon neutrino interaction cross section and flux in the TeV energy range, confirming Standard Model predictions and distinguishing contributions from pion and kaon decays.
This paper investigates the potential of the proposed ESSnuSB far detector to constrain non-standard neutrino interactions using atmospheric neutrinos, demonstrating that it can set competitive upper bounds on interaction parameters while highlighting the experiment's complementarity with accelerator-based programs and its impact on mass ordering and octant sensitivities.
The paper introduces the Spatially Aware Linear Transformer (SAL-T), a physics-inspired architecture that combines linear attention with spatially aware partitioning and convolutional layers to achieve transformer-level accuracy in particle jet tagging while significantly reducing computational complexity and inference latency.
Using a sample of over 10 billion events collected by the BESIII detector, researchers searched for the rare weak decay , found no significant signal, and established a new upper limit on its branching fraction of at the 90% confidence level, improving upon previous limits by an order of magnitude.
Using 138 fb of proton-proton collision data at 13 TeV collected by the CMS experiment, this paper presents the first observation of electroweak production of a photon in association with two forward jets, measuring a cross section of 202 fb with over five standard deviations of significance and setting constraints on effective field theory operators.
This paper investigates the production of tau lepton pairs in PbPb collisions at the FCC-hh to establish 95% C.L. exclusion limits and 3 and 5 sensitivity projections for the tau lepton's anomalous magnetic and electric dipole moments, comparing these future prospects with constraints from other colliders.
This paper presents a feasibility study demonstrating that the proposed Gamma Factory at CERN could enable the first observation of true muonium through low-energy near-threshold photoproduction, with background suppression techniques and significant prospects for precision tests of quantum electrodynamics and beyond-Standard-Model physics.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS detector, this study found no evidence for the nonresonant production of a pair of additional Higgs bosons decaying to lepton pairs, thereby ruling out the Type-X two-Higgs-doublet model alignment scenario as an explanation for the muon anomalous magnetic moment tension.
This paper investigates single Higgs production at a 125 GeV XFEL Compton collider, demonstrating that a novel deep learning framework combined with a genetic algorithm can achieve significantly higher sensitivity in signal-background discrimination than traditional methods, thereby enabling precise Higgs sector probing and new physics opportunities complementary to proposed machines.