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.
Using a dataset of approximately 2.71 million events collected with the BESIII detector, this study reports the first search for the weak decays and , finding no signal and establishing 90% confidence level upper limits on their branching fractions of and , respectively.
This paper presents a high-precision correction framework that integrates the Transfer Matrix Method with Geant4 optical simulations to decouple systematic geometric and interface biases, enabling the accurate determination of the intrinsic light yield of GAGG:Ce scintillators read out by SiPIN detectors across diverse optical configurations.
Using 164 fb of 13.6 TeV proton-proton collision data collected by the ATLAS detector from 2022 to 2024, this study searches for massive long-lived particles decaying into displaced vertices and displaced muons, finding no significant excess over the expected background and setting 95% confidence level upper limits on the production cross-sections of various -parity-violating supersymmetry models.
This paper investigates the relationship between effective degrees of freedom and the trace anomaly within the hadron resonance gas model, demonstrating that applying a convexity-based "c-theorem like" condition yields a limiting temperature consistent with lattice QCD predictions and the critical point, whereas a non-decreasing condition results in a significantly higher temperature.
This paper demonstrates that upcoming low-threshold coherent elastic neutrino-nucleus scattering experiments at major spallation sources (ESS, J-PARC, and CSNS) will significantly probe previously unexplored parameter space for sub-GeV thermal dark matter produced via neutral pion decays and mediated by vector portals.
This paper reframes Quantum Neural Network design from state reachability to learnability by introducing geometric design principles and the almost Complete Local Selectivity (aCLS) criterion, demonstrating that architectures requiring joint dependence on data and trainable weights enable adaptive feature learning and outperform traditional schemes with greater efficiency.
This paper demonstrates a quantum-enhanced dark matter search technique using a superconducting qubit to prepare a microwave cavity in a non-classical Fock state, which stimulates signal photon emission to increase the scan rate by a factor of 2.78 and excludes kinetic mixing angles for dark photons around 5.965 GHz.
This study evaluates the long-term impact of biofouling and sedimentation on the optical transparency of pathfinder instruments at the Cascadia Basin, revealing significant degradation on upward-facing surfaces over five years while confirming that downward-facing surfaces remain largely unaffected, thereby informing future mitigation strategies for the Pacific Ocean Neutrino Experiment.
This paper proposes that relic neutrinos from the Big Bang can be detected via parametric fluorescence, a coherent scattering process in atomic or molecular systems where a massive neutrino decays into a lighter neutrino and a signal photon, offering a promising detection method with event rates potentially reaching one per year in optimized target volumes.
This study demonstrates that doping liquid argon with approximately 2% xenon significantly enhances gas electroluminescence signals by a factor of 2.5 due to efficient energy transfer, a phenomenon characterized through experimental measurements and an analytical model for future low-energy ionization detection applications.