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

Cosmological Constraints on Temperature-Dependent Interaction between Dark Matter and Neutrinos

This study investigates temperature-dependent dark matter-neutrino interactions induced by a dimension-six operator, deriving a full Boltzmann hierarchy that reveals dark acoustic oscillations and establishes significantly tighter cosmological constraints on the interaction strength compared to temperature-independent models, while highlighting the critical impact of realistic neutrino mass ordering on these limits.

Ren-Peng Zhou, Da Huang2026-02-23
⚛️ general relativity

Hybrid Star Properties with NJL and MFTQCD Model: A Bayesian Approach

This study employs a Bayesian approach to generate hybrid star equations of state combining hadronic and quark matter models, demonstrating that vector and multiquark interactions are essential for supporting massive neutron stars consistent with NICER and pQCD constraints while predicting a positive trace anomaly in their cores.

Milena Albino, Tuhin Malik, Márcio Ferreira, Constança Providência2026-02-20
⚛️ high-energy experiments

A Practical Guide to Unbinned Unfolding

This paper provides practical recommendations and considerations from researchers across major particle physics experiments on adopting emerging machine learning-based unbinned unfolding techniques to replace traditional binned histogram methods for more flexible, high-dimensional data analysis.

Florencia Canelli, Kyle Cormier, Andrew Cudd, Dag Gillberg, Roger G. Huang, Weijie Jin, Sookhyun Lee, Vinicius Mikuni, L (…)2026-02-20
⚛️ phenomenology

Gauging the Standard Model 1-form symmetry via gravitational instantons

This paper demonstrates that gravitational instantons, specifically Eguchi-Hanson geometries, induce quantized fluxes that enforce global boundary conditions on fermion wavefunctions and, upon summation over flux sectors in the path integral, gauge the Standard Model's Z6(1)\mathbb{Z}_6^{(1)} 1-form symmetry, thereby proving it cannot persist as an exact global symmetry while simultaneously inducing exponentially suppressed baryon- and lepton-number violating processes.

Mohamed M. Anber2026-02-20
⚛️ nuclear theory

A Bayesian Inference of Hybrid Stars with Large Quark Cores

This study employs Bayesian inference with hadronic and quark matter models to demonstrate that while the presence of large quark cores in 1.4 solar mass neutron stars depends on the specific quark model used, both frameworks predict quark matter in 2 solar mass stars, with the mass-radius curve slope serving as a key indicator of non-nucleonic matter.

Milena Albino, Tuhin Malik, Márcio Ferreira, Constança Providência2026-02-20