Hep-Ph explores the fundamental forces that govern how particles interact and behave at the smallest scales imaginable. This field bridges the gap between theoretical predictions and experimental reality, helping scientists understand the building blocks of our universe without getting lost in complex mathematics. Whether investigating the Higgs boson or searching for new physics beyond current models, these studies push the boundaries of human knowledge about matter and energy.

At Gist.Science, we process every new preprint in this category as soon as it appears on arXiv. We strip away the dense jargon to offer both accessible plain-language explanations and detailed technical summaries, ensuring that groundbreaking research is understandable to everyone from students to seasoned experts. Below are the latest papers in this dynamic field, ready for you to explore with clarity and depth.

⚛️ high-energy experiments

HadroTOPS: A Monte Carlo Event Generator For Hadron Production In Two-Photon Scattering In Electron Positron Collisions

The paper introduces HadroTOPS, a flexible Monte Carlo event generator designed to simulate hadronic two-photon fusion events in electron-positron collisions with exact leading-order QED coupling and customizable phase space decays, specifically supporting partial wave analyses for various final states relevant to collaborations like BESIII.

Max Lellmann, Igor Danilkin, Achim Denig, Jan Muskalla, Christoph F. Redmer, Xiu-Lei Ren, Marc Vanderhaeghen2026-06-18
⚛️ phenomenology

Probing electroweak pair production of heavy neutral leptons with displaced vertices at the LHC

This paper investigates the sensitivity of LHC displaced vertex searches to electroweak pair-produced heavy neutral leptons within a supersymmetric higgsino decay framework, deriving constraints from ATLAS Run 2 data and projecting discovery potential for the HL-LHC while assessing the generalizability of these results to broader models.

Stéphane Lavignac, Anibal D. Medina, Nicolás I. Mileo, Santiago Tanco2026-06-18
⚛️ high-energy experiments

Standard Candles for Supernova Neutrino Detection at DUNE

This paper proposes a data-driven calibration strategy using 8^8B solar neutrinos and muon-decay-at-rest neutrinos as standard candles to constrain the poorly known electron neutrino-argon cross section, thereby significantly reducing model-dependent biases in extracting Galactic supernova spectral properties at the DUNE experiment.

Ting Cheng, Matheus Hostert, Pedro A. N. Machado, Nityasa Mishra, Adrian Thompson2026-06-18
⚛️ phenomenology

Stress testing of fast reconstruction pipelines using machine learning

This paper introduces a domain-agnostic, context-aware stress testing pipeline to evaluate the robustness of fast reconstruction models in fields like High Energy Physics, demonstrating that while local assumptions can fail to capture global dependencies (as seen in HL-LHC Z→ℓℓZ \rightarrow \ell\ell decays), an unsupervised regime-mapping framework can effectively restore reconstruction accuracy and resolution.

Swagata Ghosh2026-06-18
⚛️ phenomenology

The Coherence Principle: A Falsifiable Prior for Model Selection from the Grammar of Theories

This paper proposes the "Coherence Principle," a falsifiable Bayesian framework for model selection that assigns prior probabilities based on a model's adherence to the validated structural "grammar" of existing theories, thereby penalizing unmotivated theoretical violations while remaining transparent and testable across historical and contemporary cases in physics.

Raul Jimenez, Carlos Peña Garay, Fergus Simpson, Licia Verde2026-06-18
⚛️ phenomenology

Semi-invisible Hyperon Decays in the Effective Lagrangian Approach

This paper systematically investigates semi-invisible hyperon decays within the Mesogenesis mechanism using an effective Lagrangian approach, revealing that one-loop hadronic triangle diagram contributions are as significant as tree-level terms and result in branching ratios of order 10−510^{-5} for hadronic modes while radiative modes remain below 10−710^{-7}.

Lai Jiang, Ye Xing, Yu Zhou, Xiao-hui Hu2026-06-18