1472 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 study utilizes QCD sum rules with nonperturbative effects up to dimension ten to predict the masses and residues of ground and excited spin-3/2 doubly heavy baryons ( and containing $cc$, $bc$, or $bb$ quarks), providing essential theoretical guidance for future experimental searches.
This paper demonstrates that transfer learning with Generative Adversarial Networks effectively extrapolates physics information from synthetic neutrino-carbon scattering data to related processes like neutrino-argon and antineutrino-carbon interactions, significantly outperforming models trained from scratch and maintaining high accuracy even with limited statistics.
This paper proposes using optimal transport as a physics-based intermediate event representation for weakly supervised anomaly detection, demonstrating that it significantly outperforms both standard high-level observables and end-to-end deep learning on low-level data in detecting rare resonant signals within LHC datasets.
The ADAMOS project proposes a novel 20 GHz axion haloscope experiment at the University of Hamburg, utilizing a fixed-frequency "thin-shell" cavity and a calibrated RF chain to simultaneously search for conventional cold dark matter axions, relativistic axions from axion quark nugget annihilations, and transient streaming dark matter signals.
Using 137 fb⁻¹ of 13 TeV proton-proton collision data collected by the ATLAS detector, a search for the lepton-flavour violating decay via the channel found no evidence of signal, setting an observed 90% confidence level upper limit on the branching ratio of .
This review paper synthesizes current theoretical, cosmological, astrophysical, and experimental efforts to explore the theoretically motivated meV axion mass range, highlighting the convergence of diverse approaches aimed at discovering these particles as a key probe for beyond-Standard-Model physics.
This paper introduces ClusTEX, a novel single-step graph transformer that utilizes a geometry-aware positional encoding scheme to outperform standard algorithms and multi-step deep learning approaches in reconstructing overlapping electromagnetic showers, thereby improving energy resolution, reducing splitting rates, and maintaining robustness against detector failures in both toy and ECAL-inspired calorimeter simulations.
This paper presents the first lattice QCD calculation of form factors using 2+1 flavor domain-wall fermions and an anisotropic clover action for the bottom quark, which are then utilized to provide Standard-Model predictions for the branching fractions and angular observables of the rare decays and .
Using 7.33 fb of data collected by the BESIII detector, this study reports the first observation of the decay and measures an unexpectedly large branching fraction for the intermediate process with over significance, providing new constraints on the internal structure of light scalar mesons.
The ATLAS collaboration presents a combined effective field theory interpretation of vector-boson scattering and tri-boson measurements from 13 TeV proton-proton collisions to constrain anomalous quartic gauge boson couplings arising from dimension-8 operators, providing confidence intervals with and without unitarity constraints.