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

Good flavor search in SU(5): a machine learning approach

This paper employs machine learning techniques to revisit the fermion mass problem in the Georgi-Glashow SU(5)SU(5) grand unified theory, demonstrating that models incorporating a 24-dimensional field or a continuous parameter y≈0.8y \approx 0.8 offer a more "beautiful" (closer to the original model) resolution to the observed fermion mass spectrum than those using a 45-dimensional field.

Fayez Abu-Ajamieh, Shinsuke Kawai, Nobuchika Okada2026-05-19
⚛️ phenomenology

Do neutrinos dream in 5D? Towards a comprehensive extra-dimensional neutrino phenomenology

This paper presents a comprehensive phenomenological analysis of neutrino masses and mixing within a five-dimensional Large Extra Dimension scenario featuring a bulk fermion, systematically investigating four distinct mass generation models to derive oscillation predictions and constrain the extra-dimensional parameters against experimental data.

Arturo de Giorgi, Dhruv Pasari, Jessica Turner2026-05-19
⚛️ phenomenology

Higgs Physics with the XFEL Compton γγ\boldsymbol{\gamma\gamma} Collider Concept at s=125\boldsymbol{\sqrt{s}=125} GeV

This paper investigates single Higgs production at a 125 GeV XFEL Compton γγ\gamma\gamma collider, demonstrating that a novel deep learning framework combined with a genetic algorithm can achieve significantly higher sensitivity in signal-background discrimination than traditional methods, thereby enabling precise Higgs sector probing and new physics opportunities complementary to proposed e+e−e^+e^- machines.

Umar Sohail Qureshi, Tim Barklow, Ariel Schwartzman2026-05-19
⚛️ phenomenology

3D Initial-State Dynamics across scales: A Comparative Study of saturation and string-based descriptions

This study compares the longitudinal deposition of conserved quantities in the string-based SMASH and saturation-based McDipper initial condition models across a wide range of collision energies, revealing significant discrepancies in energy and baryon deposition at higher center-of-mass energies despite good agreement at lower energies.

Lucas Constantin, Oscar Garcia-Montero, Niklas Götz, Hannah Elfner2026-05-19