2610 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 demonstrates that a low-temperature reheating scenario in the minimal Universal Extra Dimension framework can dilute the Kaluza-Klein dark matter relic abundance through entropy injection, thereby reviving previously excluded parameter regions that remain consistent with current observational and collider constraints.
The MicroBooNE collaboration presents the first flux-averaged charged-current -argon cross-section measurements for final states with exactly one charged pion and no other hadrons, reporting a total cross-section of at a mean energy of 0.8 GeV and demonstrating good overall agreement with neutrino interaction generators across various differential distributions.
Using LHCb proton-proton collision data, this paper presents the first observation of the rare baryonic decay with a significance exceeding seven standard deviations, while measuring its branching fraction to be and its weak decay parameter to be , which indicates comparable S-wave and P-wave decay amplitudes.
This paper investigates the detection of loosely bound composite dark matter that disassembles into cascades of constituents while traversing the Earth, proposing unique underground signatures such as non-collinear multiple scatters, time-separated events, and coincident signals across different laboratories.
This paper presents the recently completed calculations of three-loop unpolarized and polarized massive operator matrix elements and asymptotic Wilson coefficients for deep-inelastic scattering, while also providing efficient numerical representations of massless coefficients, splitting functions, and target-mass corrections to support QCD fitting.
This paper presents the first measurements of inclusive and multiplicity-dependent pseudorapidity densities of charged particles in proton-proton collisions at the record center-of-mass energy of TeV, revealing that particle production in high-multiplicity events follows a power-law scaling with energy and establishing a new reference for LHC physics.
This paper presents a multi-modal graph neural network that improves Belle II track reconstruction efficiency and purity by simultaneously processing data from both the central drift chamber and the silicon vertex tracker to mitigate the effects of high backgrounds and detector ageing.
The paper proposes two cost-effective, medium-baseline neutrino experiments—SINE (a surface scintillator detector) and UNDINE (a submerged water Cherenkov detector)—to study LHC-produced neutrinos and constrain neutrino cross sections and cosmic-ray physics.
This paper demonstrates that a Graph Neural Network (GNN) outperforms an XGBoost classifier in enhancing the sensitivity of searches at 13.6 TeV, significantly improving the expected upper limits on the double Higgs production cross-section and the Higgs boson self-coupling () compared to current ATLAS results.
This paper demonstrates that future electron-positron colliders like the FCC-ee can significantly outperform the LHC in detecting displaced signals from heavy Majorana neutrinos, potentially probing Left-Right symmetric model scales in the multi-TeV regime through various production channels and advanced vertexing techniques.