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.

⚛️ phenomenology

Radiative Dirac neutrino masses and dark matter in a U(1)BLU(1)_{B-L} extended model

This paper proposes a U(1)BLU(1)_{B-L} extended Standard Model where radiative one-loop generation of Dirac neutrino masses is intrinsically linked to dark matter stability via a residual Z6Z_6 symmetry, demonstrating that the resulting dark matter candidates satisfy observational constraints and offer promising detection prospects at the LHC and future muon colliders.

Chayan Majumdar, Utkarsh Patel, Supriya Senapati, Sudhanwa Patra2026-01-28
⚛️ high-energy experiments

Probing EFT breakdown in the tails of W+WW^+ W^- observables

This paper demonstrates that clipping Effective Field Theory (EFT) simulations at the new physics scale Λ\Lambda via an invariant mass cut (MWW<ΛM_{WW} < \Lambda) is insufficient to guarantee EFT validity across different observables and operator orders, while also highlighting the risks of introducing model-dependent form factors and proposing alternative transverse mass cuts for more robust sensitivity studies.

Daniel Gillies, Andrea Banfi, Adam Martin2026-01-28
⚛️ phenomenology

Real Singlet Scalar Benchmarks in the Multi-TeV Resonance Regime

This paper investigates di-Higgs production and Higgs trilinear coupling modifications within a Standard Model extended by a real scalar singlet, identifying benchmark points in the multi-TeV resonance regime that remain viable under current LHC constraints and offer distinct discovery potential for future colliders like the HL-LHC, CEPC, FCC-ee, and ILC.

Ian M. Lewis, Jacob Scott, Miguel A. Soto Alcaraz, Matthew Sullivan2026-01-27
⚛️ phenomenology

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination

This paper introduces Quantum Rationale-Aware Graph Contrastive Learning (QRGCL), a resource-efficient framework that integrates a quantum rationale generator to achieve competitive quark-gluon jet discrimination performance with a compact 45-parameter architecture, effectively addressing challenges in feature extraction and limited labeled data in high-energy physics.

Md Abrar Jahin, Md. Akmol Masud, M. F. Mridha, Nilanjan Dey, Zeyar Aung2026-01-27
⚛️ high-energy theory

Verifiable type-III seesaw and dark matter in a gauged U(1)BL\boldsymbol{U(1)_{\rm B-L}} symmetric model

This paper proposes a gauged U(1)BLU(1)_{\rm B-L} extension of the Standard Model that utilizes the type-III seesaw mechanism to generate neutrino masses while employing anomaly-canceling chiral fermions as dark matter candidates, with a comprehensive analysis of their phenomenological signatures across cosmology, direct/indirect detection, collider physics, and gravitational waves.

Satyabrata Mahapatra, Partha Kumar Paul, Narendra Sahu, Prashant Shukla2026-01-27
⚛️ nuclear theory

ToMCCA-3: A realistic 3-body coalescence model

This paper introduces ToMCCA-3, a realistic three-body coalescence model based on the Wigner function formalism and constrained by modern nuclear interaction data, which successfully predicts light (anti)nuclei yields in proton-proton collisions at 13 TeV and demonstrates their sensitivity to nuclear wave functions when compared with ALICE experimental data.

Maximilian Mahlein, Bhawani Singh, Michele Viviani, Francesca Bellini, Laura Fabbietti, Alejandro Kievsky, Laura Elisa M (…)2026-01-27