2131 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 measurement of the eight angular polarization coefficients ( to ) for Drell-Yan production in 13 TeV proton-proton collisions using 140 fb of CMS data, providing double-differential results in transverse momentum and rapidity that are compared with next-to-next-to-leading order QCD predictions.
The CONUS+ collaboration achieved a sub-keV energy calibration using 71Ge M-shell X-rays from neutron activation, demonstrating that the experiment's signal prediction uncertainty can be reduced from 14% to below 4% and validating its energy reconstruction down to the detection threshold for future precision measurements.
This contribution suggests that significant long-range rescattering effects, particularly the process , explain the large experimental branching ratios in singly Cabibbo-suppressed decays and naturally predict direct asymmetries at the level of , thereby establishing these decays as a promising new approach for investigating violation.
This contribution evaluates and compares perturbation-based, Shapley-value-based, and gradient-based interpretability methods adapted for the representation of the Lund-Jet-Plane and demonstrates that these techniques successfully correlate neural network predictions with classical QCD observables while revealing pronounced shifts in focus between perturbative and non-perturbative regimes in jet tagging.
Using 138 fb⁻¹ of CMS data from 13 TeV proton-proton collisions, this study searched for light pseudoscalar boson pairs produced from Higgs boson decays in the 4 and 22 channels, finding no excess above Standard Model expectations and setting upper limits on the branching fraction, particularly within the context of 2HD+S models.
This paper proposes a compact analytical framework that uses equivalent gain-layer representations to model and predict the temperature dependence of gain and time resolution in LGAD detectors, enabling efficient calibration and characterization across varying thermal conditions.
This paper reports the first measurement of photonuclear meson production in ultraperipheral lead-lead collisions using CMS data, providing new insights into the parton distribution functions of lead nuclei at low momentum fractions.
This paper presents the first measurement of bottom quark jet substructure and fragmentation functions in 5.02 TeV proton-proton collisions using a novel algorithm to cluster charged b-hadron decay daughters, providing experimental evidence for the dead-cone effect through the observation of suppressed emissions at small radii compared to inclusive jets.
This paper applies a momentum-space Daubechies wavelet basis within the Hamiltonian framework to investigate nonperturbative dynamics in -dimensional theory, successfully reproducing the strong-coupling phase transition and demonstrating systematic convergence of the critical coupling as momentum resolution increases.
The VISPA project promotes sustainable computing on a mid-scale physics cluster by implementing user-centric tools—such as per-job energy monitoring, "green-window" scheduling based on renewable energy availability, and voluntary carbon footprint reporting—to foster environmental awareness and reduce emissions through behavioral change.