1442 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 proposes a conformal prediction-based calibration layer that transforms uncalibrated machine-learning anomaly scores into statistically rigorous, distribution-free local and global p-values, effectively correcting for background mismodeling and the look-elsewhere effect to prevent false discoveries in new-physics searches.
This paper presents new, optimized binning schemes for the Dalitz plots of and decays, utilizing an improved figure of merit to achieve an estimated 5% gain in the precision of measurements and a 20% increase in statistical sensitivity for charm mixing observables while accounting for detector resolution and background effects.
This paper details the methodology and results of constraining neutrino flux and interaction uncertainties using the T2K ND280 near detector to improve systematic control in oscillation measurements, while also validating the robustness of the approach and demonstrating the potential benefits of the upgraded detector for future precision.
This paper demonstrates that combining NOvA's ten-year data with anticipated precise measurements of from the upcoming JUNO experiment could enable the determination of the neutrino mass ordering with significance within the next five years.
This paper presents the first study demonstrating that the proposed nuSCOPE facility's tagged neutrino beamline offers a novel, high-precision approach to short-baseline oscillation searches, significantly improving sensitivity to sterile neutrinos across multiple channels while substantially reducing reliance on flux predictions.
This paper proposes the One Scalar Theory (1ST), a predictive framework linking Higgs and top couplings to a single scale , and demonstrates that current ATLAS data and future High-Luminosity LHC runs can test this model's dynamical origin of the electroweak sector by probing up to 4 TeV through multi-Higgs and multi-top resonance searches.
Using 135 fb of proton-proton collision data at TeV collected by the ATLAS detector, this paper presents a search for dark photons via semi-visible Higgs boson decays () in the gluon-gluon fusion channel, finding no significant excess over the Standard Model and setting an observed upper limit on the branching ratio of 1.4% (0.9% when combined with Run 2 results) at 95% confidence level.
This paper establishes machine-learned particle flow (MLPF) as a foundation model for collider physics by demonstrating that its learned latent representations serve as a shared, information-rich bridge between low-level detector data and diverse high-level analysis tasks, significantly improving performance and efficiency compared to traditional modular approaches.
Using proton-proton collision data from LHC Run 3, the SND@LHC experiment reports the first measurement of the muon neutrino charged-current cross section on tungsten, observing 31 candidate events against a small expected background to determine a cross section of at a median energy of 228 GeV.
Using 365 fb⁻¹ of data collected by the Belle II experiment, this paper presents measurements of branching fractions and CP asymmetries for decays, yielding results that are consistent with world-average values and theoretical predictions.