hep-ph papers | Gist.Science

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

Solving Functional Renormalization Group Equations with Neural Networks

This paper demonstrates that physics-driven deep neural networks, which embed functional renormalization group flow equations directly into their loss functions and utilize an analytical-large- $N$ plus learned-correction decomposition, provide a robust and accurate numerical framework for solving scale-dependent effective potentials and fixed-point problems in nonperturbative quantum field theory without requiring precomputed training data.

Yang-yang Tan, Wei-jie Fu, Lianyi He, Lingxiao Wang2026-03-24

⚛️ nuclear theory

Production correlation of light (hyper-)nuclei in Au-Au collisions from the RHIC Beam Energy Scan

This paper employs a quark combination model within a hadronic coalescence framework to systematically analyze the production of light nuclei and hypernuclei in Au-Au collisions across the RHIC Beam Energy Scan, successfully explaining existing experimental data for species like deuterons and hypertritons while predicting yields for various $\Omega$ -hypernuclei and exploring their production correlations as a function of collision energy.

Jiang-He Qiao, Jian-Yu Liu, Yan-Ting Feng, Feng-Lan Shao, Rui-Qin Wang2026-03-24

⚛️ phenomenology

Hyperbolic form factors for Yukawa interactions, and applications to the Earth

This paper introduces the hyperbolic form factor as a bilateral Laplace transform of density distributions to model Yukawa interactions mediated by massive particles, applying it to Earth's density profile to derive significantly relaxed coupling limits for new spin-0 and spin-1 mediators with masses around $10^{-12}$ eV/ $c^2$ .

Pierre Fayet2026-03-24

⚛️ phenomenology

B-jet Tagging Using a Hybrid Edge Convolution and Transformer Architecture

This paper introduces the Edge Convolution Transformer (ECT), a hybrid deep learning architecture that combines edge convolutions and self-attention mechanisms to achieve state-of-the-art b-jet tagging performance (0.9333 AUC) with low inference latency on ATLAS simulation data, outperforming both ParticleNet and pure transformer baselines.

Diego F. Vasquez Plaza, Vidya Manian2026-03-24

⚛️ phenomenology

From Higgs physics to lepton flavour violation: current bounds and future prospects for vector-like lepton models

This paper presents a comprehensive phenomenological study of six vector-like lepton models with seesaw-like mass contributions, systematically analyzing their constraints and correlations across Higgs physics, lepton flavor violation, and collider observables in light of current and upcoming experimental data.

Gregor Daberstiel, Kilian Möhling, Dominik Stöckinger, Hyejung Stöckinger-Kim2026-03-24

⚛️ phenomenology

CP-violation and its implications in a complex singlet extension of 2HDM

This paper investigates CP-violation in a complex singlet extension of the Two Higgs Doublet Model with Yukawa alignment, demonstrating how the additional scalar sector provides greater freedom to satisfy electric dipole moment constraints while incorporating dark matter and exploring detection prospects for CP-violating phases at future colliders.

Jayita Lahiri, Gudrid Moortgat-Pick2026-03-24

⚛️ phenomenology

Conditional Wasserstein GAN for Simulating Neutrino Event Summaries using Incident Energy of Electron Neutrinos

This paper introduces a Conditional Wasserstein GAN framework that efficiently simulates full multidimensional kinematic summaries for electron neutrino interactions (specifically IBD-CC, NC, and NuEElastic processes) across a 10–31 MeV energy range, offering a computationally superior alternative to traditional Monte Carlo methods while accurately reproducing complex statistical correlations.

Dipthi S., Kalyani Desikan2026-03-24

⚛️ nuclear experiments

Bayesian extraction of TMC-free collectivity in p+p and p+Pb collisions at the LHC

This paper develops a Bayesian inference framework to disentangle genuine collective flow from transverse momentum conservation (TMC) backgrounds in small collision systems, revealing that while $p$ +Pb data aligns with standard flow measurements, $p$ + $p$ collisions require this new method to accurately extract flow magnitudes that are otherwise underestimated due to competing TMC effects.

Shuang Guo, Jia-Lin Pei, Guo-Liang Ma, Adam Bzdak2026-03-24

⚛️ phenomenology

Strong decays of the hidden-charm molecular pentaquarks

This paper investigates the strong decays of hidden-charm molecular pentaquarks using an effective Lagrangian approach, calibrating cutoff parameters with $P_{\psi}^N(4312)$ to favor a spin assignment where the lower-mass $P_{\psi}^N(4440)$ has $J=3/2$ and the higher-mass $P_{\psi}^N(4457)$ has $J=1/2$ , while successfully reproducing the experimental widths of the strange pentaquarks $P_{\psi s}^\Lambda(4338)$ and $P_{\psi s}^\Lambda(4459)$ .

Jin-Cheng Deng, Yong Ru, Xin-Yue Wan, Tai-Fu Feng, Bo Wang2026-03-24

⚛️ phenomenology

Inflationary Phase Transitions in the Early Universe: A Bayesian Study with Space-Based Gravitational Waves Detectors

This paper presents a realistic Bayesian analysis using a Taiji-like space-based detector to demonstrate that phase transitions during inflation can be detected and their parameters reconstructed from stochastic gravitational-wave backgrounds, provided the signal strength is sufficient to overcome instrumental noise and astrophysical foregrounds.

Qingyuan Liang, Chen Yang, Haipeng An, Huai-Ke Guo2026-03-24

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