⚛️ Category

hep-ex

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.

⚛️ high-energy experiments

The High W Challenge: Robust Neutrino Energy Estimators for LArTPCs

This paper introduces and evaluates a new W2^2-based neutrino energy estimator for liquid-argon time-projection chambers, demonstrating that while it offers superior robustness against modeling uncertainties and minimal bias in the transition region between scattering regimes, its slightly worse energy resolution under ideal conditions suggests a complementary role alongside more exclusive methods for future oscillation analyses.

Christopher Thorpe, Elena Gramellini2026-04-16
⚛️ phenomenology

Z Boson Radiative Decay Z→μ+μ−γZ\to \mu^+ \mu^- \gamma at the LHC

This paper presents a precision Standard Model analysis and new physics projections for the radiative decay Z→μ+μ−γZ \to \mu^+\mu^-\gamma at the LHC, demonstrating its potential to measure the branching ratio with sub-percentage accuracy and to probe axion-like particles and anomalous U(1)XU(1)_X gauge bosons with enhanced sensitivity down to couplings of O(10−3)\mathcal{O}(10^{-3}).

Yifan Fei, Peiran Li, Zhen Liu, Maxim Pospelov2026-04-16
⚛️ phenomenology

Proton Structure from Neural Simulation-Based Inference at the LHC

This paper demonstrates for the first time that neural simulation-based inference (NSBI) can effectively constrain proton parton distribution functions using high-dimensional, unbinned LHC data, achieving significantly improved precision over traditional binned analyses by fully exploiting statistical power and reducing reliance on coarse uncertainty approximations.

Ricardo Barrué, Lisa Benato, Ali Kaan Güven, Elie Hammou, Jaco ter Hoeve, Claudius Krause, Ang Li, Luca Mantani, Juan Ro (…)2026-04-16
⚛️ quantum physics

Measuring quasiparticle dynamics for particle impact reconstruction in a superconducting qubit chip

This paper presents a statistical framework that models quasiparticle dynamics following particle impacts to distinguish recombination and trapping processes, enabling the use of superconducting transmon qubits as energy-resolving detectors for reconstructing particle impact locations and energies.

E. Celi, R. Linehan, P. M. Harrington, M. Li, H. D. Pinckney, K. Serniak, W. D. Oliver, J. A. Formaggio, E. Figueroa-Fel (…)2026-04-16
⚛️ high-energy experiments

Proposal for the first measurement of antiproton polarization in proton-nucleus interactions

This paper proposes and evaluates the experimental feasibility of the first dedicated measurement of transverse antiproton polarization in proton-nucleus collisions at CERN, utilizing left-right asymmetry in elastic scattering to probe the spin structure of the antinucleon-nucleon interaction.

D. Alfs, D. Grzonka, G. Khatri, P. Kulessa, J. Ritman, T. Sefzick, J. Smyrski, V. Verhoeven, H. Xu, M. Zielinski2026-04-16
⚛️ lattice

Charged kaon electric polarizability from four-point functions in lattice QCD

This paper presents a proof-of-principle lattice QCD calculation of the charged kaon's electric polarizability using a four-point function approach on Wilson quenched lattices, yielding a value of αE=(0.988±0.534)×10−4  fm3\alpha_E = (0.988 \pm 0.534) \times 10^{-4}\;\mathrm{fm}^3 and demonstrating the framework's applicability to strange mesons for future precision studies.

Shayan Nadeem, Walter Wilcox, Frank X. Lee2026-04-16
⚛️ nuclear theory

AI-assisted modeling and Bayesian inference of unpolarized quark transverse momentum distributions from Drell-Yan data

This paper presents a global Bayesian analysis of unpolarized quark transverse-momentum-dependent parton distribution functions using Drell-Yan data at N3LO{\rm N^3LO} and N4LL{\rm N^4LL} accuracy, leveraging AI-driven functional form selection and machine-learning emulators to enable efficient Markov Chain Monte Carlo sampling and quantify uncertainties.

Zhong-Bo Kang, Luke Sellers, Congyue Zhang, Curtis Zhou2026-04-16