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.

Characterization of the quantum state of top quark pairs produced in proton-proton collisions at s\sqrt{s} = 13 TeV using the beam and helicity bases

Using 138 fb1^{-1} of 13 TeV proton-proton collision data collected by the CMS experiment, this study characterizes the quantum state of top quark-antiquark pairs by measuring spin correlations in the beam and helicity bases to decompose the system into Bell and spin eigenstates and evaluate properties like purity, entropy, and entanglement, with all results aligning with Standard Model predictions.

CMS Collaboration2026-03-18⚛️ hep-ex

Measuring out-of-time-order correlators on a quantum computer based on an irreversibility-susceptibility method

This paper presents the first experimental demonstration of the irreversibility-susceptibility method (ISM) for measuring out-of-time-order correlators (OTOCs) on a trapped-ion quantum computer, alongside a comparative analysis of ISM with the rewinding time and weak-measurement methods to evaluate their effectiveness in probing quantum information scrambling.

Haruki Emori, Hiroyasu Tajima2026-03-18⚛️ hep-ex

A comparison of simulation tools for Muon-Induced X-ray Emission (MIXE) in thin films: a study case with lithium batteries

This paper presents a comparative study of SRIM, GEANT4, and PHITS simulation tools for modeling muon transport and X-ray emission in lithium battery thin films, finding that while all three accurately predict muon depth profiles, PHITS offers the added capability of generating X-ray spectra with high accuracy in relative intensities despite a systematic energy offset in K-line transitions.

Maxime Lamotte, Michael W. Heiss, Thomas Prokscha, Alex Amato2026-03-18🔬 physics.app-ph

Probing keV mass QCD axions with the SACLA X-ray free electron laser

This paper extends previous bounds on the axion-photon coupling by over an order of magnitude using the SACLA X-ray free electron laser and the Borrmann effect in Laue crystals, achieving the most stringent laboratory constraints to date for QCD axions in the 3.46–3.48 keV mass range.

Charles Heaton, Jack W. D. Halliday, Taito Osaka, Ichiro Inoue, Sifei Zhang, Ahmed Alsulami, Joshua T. Y. Chu, Mila Fitzgerald, Takaki Hatsui, Motoaki Nakatsutsumi, Haruki Nishino, Atsushi O. Tokiyasu (…)2026-03-18🔬 physics.atom-ph

Search for direct pair production of top squarks in $pp$ collisions at s=13\sqrt{s}= 13 TeV and $13.6$ TeV in events with two oppositely charged leptons using the ATLAS detector

Using the full Run 2 and early Run 3 datasets from the ATLAS detector, this study searches for direct top squark pair production in events with two oppositely charged leptons, bb-jets, and missing transverse momentum, finding no significant excess over Standard Model predictions and setting improved 95% confidence level mass limits of up to 1060 GeV for top squarks and 560 GeV for neutralinos.

ATLAS Collaboration2026-03-18⚛️ hep-ex

Results of the analysis of a survey for young scientists on training quality in HEP instrumentation software and machine learning

This report details the results of a survey conducted by the ECFA Early-Career Researchers Panel to assess the accessibility and quality of training programs in software and machine learning for instrumentation, aiming to guide improvements for early-career researchers in experimental physics.

Cecilia Borca (for the ECFA ECR Panel), Javier Jiménez Peña (for the ECFA ECR Panel), David Marckx (for the ECFA ECR Panel), Malgorzata Niemiec (for the ECFA ECR Panel), Elisabetta Spadaro Norella (…)2026-03-18⚛️ hep-ex