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 events collected by the BESIII detector, this study reports the first search for a massless beyond-Standard-Model particle in the decay, finding no significant signal and establishing an upper limit on the branching fraction of at the 90% confidence level.
Using 138 fb of proton-proton collision data at 13 TeV collected by the CMS detector, this paper presents three "mono-X" searches for invisible new physics in pencil-jet, mono-photon, and mono-top final states, finding no significant deviations from Standard Model predictions and setting stringent exclusion limits on dark matter and large extra dimension models.
This paper proposes that a minimal dark scalar with a mass of approximately 9.40 GeV, which shares high- fragmentation scaling with NRQCD color-octet production, can simultaneously explain the anomalous high- plateau in nuclear modification factors, the vanishing elliptic flow, and the quarkonium polarization puzzle in heavy-ion collisions while evading historical low- constraints.
This paper reviews the progress of functional QCD over the past decade in describing the phase structure of QCD, with a primary focus on predicting new phases and their experimental signatures at high densities () while addressing technical strategies, systematic errors, and validation against lattice QCD.
This paper employs dispersion theory to analyze the isovector vector form factors of , , , and mesons at low energies by integrating chiral and heavy-quark symmetry constraints with model-independent resonant pion-pion rescattering, while specifically addressing anomalous thresholds to extract the resonance couplings to these heavy mesons.
This paper employs both machine learning techniques and an extended analytical mass formula to predict the mass spectra of fully-heavy baryons and exotic pentaquarks, offering complementary insights that align with existing experimental data and guide future searches for unobserved states.
This paper demonstrates that consistent quantum tomography of and decays requires the subtraction of higher-order corrections to ensure physical spin density operators, while also highlighting the potential to observe parity-violating effects in .
The paper proposes "Unified Flavor," a framework where hierarchical Yukawa couplings and CP violation emerge from TeV-scale vectorlike fermion chains on a -lattice governed by a single flavon, successfully reproducing quark and lepton mass spectra while simultaneously addressing flavor constraints, strong CP, and offering testable predictions for future experiments.
This paper proposes leveraging high-energy colliders as quantum machines to advance quantum simulations in collider physics, specifically demonstrating applications in identifying causal structures within multiloop vacuum amplitudes and performing high-dimensional function integration to develop fully fledged quantum event generators.
This paper reports the first measurement of the cosmic muon flux at the Stawell Underground Physics Laboratory using eight plastic scintillator panels, yielding a value of (6.33 ± 0.04_stat ± 0.35_sys) × 10⁻⁸ s⁻¹ cm⁻² that aligns well with simulations and features significantly reduced uncertainty compared to modeling.