1434 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 a comprehensive strategy for probing new physics and testing fundamental symmetries by utilizing polarized photon fusion at the Super Tau-Charm Facility to measure tau lepton dipole moments with enhanced precision, demonstrating how linearly polarized photons can disentangle CP-even and CP-odd interactions to achieve improved sensitivity to anomalous magnetic dipole moments.
Using the full Run-2 dataset of proton-proton collisions at 13 TeV collected by the ATLAS detector, this paper presents the first evidence of simultaneous production with a significance of 4.4, observing eight events against a background of 0.92 and measuring a fiducial cross-section consistent with Standard Model predictions.
The LHCb experiment reports the world's first measurement of separate polarizations for and baryons produced in Ne collisions at GeV, finding a significant positive polarization for and a consistent-with-zero value for .
This paper proposes a ferromagnet lattice magnetometer that coherently combines multiple levitated ferromagnets to significantly enhance sensitivity for detecting ultralight dark matter by suppressing dipole-dipole interactions and leveraging collective readout to surpass existing single-ferromagnet constraints.
This paper presents a new global determination of proton helicity-dependent parton distribution functions at next-to-leading order by combining existing DIS and SIDIS data with simulated Electron-Ion Collider pseudodata, demonstrating that these projected measurements significantly enhance flavor separation and reduce uncertainties, particularly in the small- region.
This paper introduces IJazZ2.0, a novel analytical likelihood-based method implemented in the IJazZ software that enables computationally efficient, unbiased, and robust simultaneous extraction of lepton (and photon) energy scale and resolution corrections across multiple categories by leveraging exact smearing treatments and automatic differentiation.
Using 138 fb of proton-proton collision data at = 13 TeV collected by the CMS detector, this paper presents a measurement of five event shape variables derived from charged particles inside jets, showing general agreement between the corrected distributions and various theoretical predictions for multijet production.
This paper introduces RMM-C46, a compact and physics-driven representation that compresses the high-dimensional rapidity mass matrix into a low-dimensional, interpretable feature set, achieving performance comparable to the full matrix in machine learning tasks while enabling compatibility with near-term quantum computing applications.
This paper presents and validates a method for measuring the momenta of charged particles in the FASER emulsion detector using multiple Coulomb scattering, demonstrating its effectiveness from a few GeV to several TeV through Geant4 simulations and test beam data.
This whitepaper outlines a community vision for building a national-scale, AI-native research ecosystem that leverages current and future experimental facilities to accelerate discovery in experimental particle physics through transformative artificial intelligence integration.