2503 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 reviews Deep Inelastic Scattering data from the HERA collider at low-x and low-Q², exploring their interpretation through standard QCD evolution, BFKL dynamics, and the potential onset of gluon saturation, with a specific focus on insights gained from diffractive processes.
This paper argues that measuring the lifetime and decay law of metastable helium offers a promising avenue for detecting deviations from standard quantum mechanics, as even small quartic deformations can produce significant, observable changes in mean lifetime and non-exponential decay patterns within the Wigner–Weisskopf approximation.
This paper proposes that radiative production of higher charmonia, specifically and , provides a common explanation for the longstanding discrepancies between Belle and BESIII measurements of line shapes in annihilation to , , and final states.
This paper introduces a Neural Bayesian online calibration framework that leverages pre-calibration data and normalizing flows to optimize hardware settings and infer latent scientific quantities for experiments using deficient simulators, demonstrating its application to calibrate the MADMAX dark matter experiment's disk-booster simulator and infer the axion-signal power boost factor.
This paper reports the first observation of weak magnetism in free neutron decay by demonstrating that combining -asymmetry measurements with neutron lifetime and superallowed decay data lifts the parameter degeneracy, yielding a result that agrees with the conserved vector current prediction and excludes the absence of weak magnetism at a significance level exceeding .
This paper presents three key time-dependent measurements of -hadron properties using LHCb Run 2 data: an improved determination of the CKM phase via , the first observation of CP-violation in decays, and the first measurement of time-dependent CP-violation in the process .
This paper presents a data-driven machine learning approach using compact neural networks trained on BESIII experimental data to significantly reduce beam-background false-positive rates in trigger systems while maintaining hadron-event efficiency, demonstrating suitability for low-latency FPGA implementation and future high-luminosity collider upgrades.
This paper introduces a polynomial-time distance-based classification method that leverages the global topology of Lorentz-invariant phase space and reconstructed masses to effectively distinguish between complex collider event processes, such as four-top production versus .
This paper summarizes recent BESIII Collaboration results on searches for new physics using the world's largest and data samples, specifically focusing on lepton/baryon number violation, charged lepton flavor violation, and charmonium weak decays.
This paper introduces BeAGLE++, a next-generation, modular Monte Carlo event generator for electron-nucleus collisions at the Electron-Ion Collider that features an improved formation-zone intranuclear cascade with discrete time-ordered interactions and light-cluster production, offering enhanced capabilities for modeling hadronic final-state interactions and testing new physics models.