2129 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 that precise measurements of total charm production in heavy-ion collisions, when combined with improved calculations of initial hard scatterings, can serve as a signature to infer properties of the pre-equilibrium stage, despite current theoretical uncertainties.
This paper presents the first results from the Eos detector, demonstrating its performance and calibration capabilities using water as a Cherenkov-only medium to validate reconstruction algorithms and detector models for future hybrid neutrino experiments.
This paper applies relative belief inferences, which satisfy both Bayesian likelihood ordering and frequentist confidence requirements, to construct uncertainty intervals for a Poisson signal-with-background model in particle physics, demonstrating their advantages over the standard Feldman-Cousins approach.
Using 7.33 fb⁻¹ of collision data collected by the BESIII experiment, the paper reports a measurement of the branching fraction for the electromagnetic Dalitz decay as , achieving a 2.5-fold improvement in precision over previous results and providing crucial constraints for theoretical models and related absolute branching fractions.
This paper introduces "Agentic Hybrid RAG," a framework that combines hybrid retrieval with agentic reasoning to enhance evidence-grounded scientific question answering for muon collider research, validated by a new domain-specific benchmark and superior performance over existing baselines.
This paper discusses the theoretical signatures and main QCD backgrounds of instanton (sphaleron) production events, proposing experimental searches for these unobserved phenomena via diffractive events at the LHC and spin-spin correlations between hyperons at NICA.
This paper proposes using the reconstructed invariant mass of kaons and half the deuteron four-momentum () as a direct experimental observable to distinguish between nucleon coalescence and statistical thermal models in deuteron production at the LHC, demonstrating that a resonance peak emerges only in the coalescence scenario.
ALETHEIA is an autonomous, self-completing framework that employs an active-learning loop to iteratively construct permutation-invariant physics foundation models (ManifoldInformer) for High Energy Physics, automatically identifying and incorporating new Standard Model Effective Field Theory operators based on residual analysis until the model achieves complete learning.
This paper outlines the physics motivation, experimental design, and expected sensitivity of the SHiP/NA67 experiment, a high-intensity beam dump facility at CERN approved in 2024 to search for feebly interacting particles and study neutrino phenomenology over a 15-year operational period.
This paper demonstrates the feasibility of implementing the Matrix Element Method at Next-to-Leading Order (NLO) accuracy using the POWHEG framework, showcasing its effectiveness as a near-optimal classifier for distinguishing beyond-the-Standard-Model effects in fully leptonic production.