2585 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 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.
This paper presents a global analysis combining KamLAND data with Daya Bay's independently measured fission antineutrino spectra, revealing that using these empirical spectra instead of the Huber-Müller model reduces the tension between KamLAND's and JUNO's measurements of solar neutrino oscillation parameters by lowering the best-fit values of and .
Using a large sample of events collected by the BESIII detector, this study reports the first observation of the decay with branching fractions determined under different interference scenarios, while setting an upper limit on the unobserved decay .
This paper describes the development and successful six-month operation of an EPICS-based low-temperature monitoring and alarm system for the Taishan Antineutrino Observatory, which utilizes PT100 sensors and multi-level thresholds to ensure the safe and stable operation of the detector by tracking liquid scintillator temperatures.
This paper introduces a wire-by-wire tracking efficiency diagnostic for the Belle~II Central Drift Chamber, which extrapolates reference tracks to individual wires to identify localized tracking failures that remain invisible to conventional channel-level monitoring.
This paper demonstrates that integrating quantum error correction with logical GHZ entanglement in CMOS spin qubit arrays can effectively mitigate longitudinal dephasing, thereby restoring entanglement-enhanced sensitivity and achieving order-of-magnitude improvements in detecting axion-electron coupling for dark matter searches.
This paper presents a lightweight conditional Generative Adversarial Network (cGAN) that significantly accelerates the simulation of FARICH detector responses by generating realistic photon hit samples conditioned on particle tracks and momentum, outperforming traditional Monte-Carlo methods in speed while maintaining accuracy.
This paper summarizes recent LHCb results on Flavour Changing Neutral Current decays, including a legacy measurement of using 8.4 fb of Run 1 and 2 data, to search for New Physics and investigate long-standing tensions with Standard Model predictions in transitions.