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.

Probing CP-violating Higgs-Gauge couplings with Higgsstrahlung at ee+e^-e^+ collider

This paper investigates the sensitivity of a future 250 GeV ee+e^-e^+ collider to CP-violating and CP-conserving anomalous Higgs-gauge couplings within the SMEFT framework, demonstrating that utilizing beam polarization and spin-correlation asymmetries across dominant Higgs decay channels can achieve sub-percent precision on dimension-6 operator coefficients, provided systematic uncertainties are controlled below the few-percent level.

Amir Subba, Subhaditya Bhattacharya, Abhik Sarkar2026-03-31⚛️ hep-ex

Measurement of inclusive BXuνB \to X_u \ell \nu partial branching fractions and Vub|V_{ub}| at Belle II

Using 365 fb1^{-1} of data from the Belle II experiment, this study measures the partial branching fraction of inclusive charmless semileptonic BB meson decays with lepton energies above 1 GeV to determine the CKM matrix element Vub|V_{ub}| as (4.01±0.190.08+0.07)×103(4.01 \pm 0.19 ^{+0.07} _{-0.08}) \times 10^{-3}, a result consistent with the world average from previous inclusive measurements.

Belle II Collaboration, M. Abumusabh, I. Adachi, K. Adamczyk, L. Aggarwal, H. Ahmed, Y. Ahn, H. Aihara, N. Akopov, S. Alghamdi, M. Alhakami, A. Aloisio, N. Althubiti, K. Amos, N. Anh Ky, C. Antonioli (…)2026-03-31⚛️ hep-ex

Differential measurements of tˉtZ\bar{t}tZ and tˉttˉt\bar{t}t\bar{t}t at large Q2Q^2 at FCC-hh

This paper presents a study of differential tˉtZ\bar{t}tZ and tˉttˉt\bar{t}t\bar{t}t measurements at the FCC-hh with 30 ab1^{-1} of data at 84 TeV, demonstrating the feasibility of probing high-Q2Q^2 regimes for new physics with significant precision and highlighting the benefits of optimized lepton isolation for boosted object reconstruction.

Louise Beriet, Matteo Defranchis, Birgit Stapf, Michele Selvaggi2026-03-31⚛️ hep-ex

Semiautomatic dimensional screening of plastic scintillator cubes using image analysis and robotics

The authors developed and validated a semiautomatic system combining robotics, high-resolution imaging, and image analysis to efficiently screen 1 cm³ plastic scintillator cubes for future neutrino detectors, achieving 10 μm precision, over 80% consistency with manual screening, and a 3.1% rejection rate.

Tatsuya Kikawa, Mao Tani, Atsuko K. Ichikawa, Tsunayuki Matsubara, Tsuyoshi Nakaya, Tomohisa Ogawa2026-03-31⚛️ hep-ex

Pushing the Limits of Pulse Shape Discrimination in a Large Liquid Xenon Detector

This paper presents an optimized analysis framework for Pulse Shape Discrimination (PSD) in the LUX-ZEPLIN (LZ) experiment that, when combined with charge-to-light measurements into a two-factor discrimination method, significantly reduces electronic recoil background leakage and false positive rates in the search for dark matter.

D. S. Akerib, A. K. Al Musalhi, F. Alder, B. J. Almquist, C. S. Amarasinghe, A. Ames, T. J. Anderson, N. Angelides, H. M. Araújo, J. E. Armstrong, M. Arthurs, A. Baker, S. Balashov, J. Bang, J. W. B (…)2026-03-31⚛️ hep-ex

Xenon Signal Denoising via Supervised, Semi-Supervised, and Unsupervised Models

This study demonstrates that supervised, semi-supervised, and unsupervised machine learning models can effectively denoise simulated single-phase liquid xenon time projection chamber signals to achieve energy resolutions of approximately 1% or better, offering a promising path toward enhancing the sensitivity of neutrinoless double beta decay searches.

Grant Kendrick Parker, Jason Brodsky, Indra Chakraborty2026-03-31⚛️ nucl-ex