2101 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 investigates the production and detection prospects of light scalar sgoldstinos (with masses from the dimuon threshold to a few GeV) at the SND@HL-LHC experiment, reviewing their effective interactions and constraints while presenting sensitivity estimates that highlight the critical importance of muon-antimuon separation efficiency for dimuon signal searches.
This paper estimates the sensitivity of Wilson coefficients for lepton flavor-violating dimension-six operators at a proposed muon collider by computing signal significance and measurement errors for effective couplings at center-of-mass energies of 3 and 10 TeV using the optimal observable method.
This paper demonstrates that various quantum information measures, including magic, trace distance, and fidelity distance, offer distinct and complementary sensitivities to new physics in the top quark sector within the Standard Model Effective Field Theory, highlighting the importance of employing multiple such metrics to effectively probe beyond-Standard-Model phenomena.
This paper proposes an optimized search strategy using displaced vertex signatures without prompt leptons to significantly improve current LHC constraints on heavy neutral leptons coupled to the tau-neutrino flavor, potentially enhancing sensitivity by up to three orders of magnitude with future high-luminosity data.
The SNO+ Collaboration reports new reactor antineutrino oscillation results from 1.46 ktonne-years of data collected between May 2022 and July 2025, yielding a precise measurement of that, when combined with KamLAND and solar neutrino data, refines global neutrino mixing parameters and improves geoneutrino signal detection.
This paper proposes using simple, inexpensive hydrogenated carbon structures as highly sensitive, directional detectors capable of identifying sub-GeV dark matter through the ejection of protons with minimal energy thresholds.
This paper presents ParticleTransformer, a fully machine-learning-based approach that achieves state-of-the-art performance in identifying, classifying, and reconstructing the full kinematics of hadronic tau leptons for the FCC-ee TeraZ program, significantly outperforming conventional heuristic methods.
This paper presents a study of and production in the channel using ATLAS data from proton-proton collisions at 13 and 13.6 TeV, reporting a signal strength of and providing differential cross-section measurements for .
Using 140 fb⁻¹ of 13 TeV proton-proton collision data collected by the ATLAS detector, this study searches for heavy Majorana neutrinos coupling to third-generation leptons via vector boson scattering in final states containing tau leptons, finding no significant deviation from the Standard Model and setting improved exclusion limits on the mixing matrix element for neutrino masses between 92 GeV and 6.5 TeV.
This paper proposes a "nine-link texture" model for Yukawa matrices that naturally links the empirical nearness of CKM unitarity triangle angles to simple fractions of with an underlying theory of flavor and spontaneous CP violation, while simultaneously offering a potential resolution to the strong CP problem.