5471 papers
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.
This paper proposes a new fundamental mechanism where the optical Magnus effect, through helicity-dependent transverse shifts in gravitational lensing, induces circular polarization in the cosmic microwave background from temperature fluctuations, although the resulting signal remains far below current detection capabilities.
Using lattice QCD with ensembles at a pion mass of approximately 292 MeV, this study determines finite-volume energies of two-nucleon systems in the and channels and extracts scattering amplitudes via Lüscher's method and the Non-Perturbative Hamiltonian framework, revealing that both the deuteron and di-neutron channels exhibit virtual state poles with binding energies of MeV and MeV, respectively.
This paper employs a shift-symmetric effective field theory to map axion dark radiation from reheating, revealing that competing inflaton decay and annihilation channels scale oppositely with the reheating temperature to produce a two-dimensional constraint map that can establish both lower and upper bounds on the reheating temperature using current and projected measurements.
This study uses stellar kinematics from the dwarf galaxy Leo II to constrain the two-dimensional parameter space of self-interacting fuzzy dark matter, revealing that attractive (repulsive) self-interactions lead to more concentrated (diffuse) density profiles and establishing 95% confidence lower limits on the particle mass within the range of for interaction strengths up to .
The paper introduces \textsc{RooAgent}, a natural-language interface that empowers large language models to perform complex high-energy physics data analysis tasks using \textsc{PyRoot} tools across multiple LLM backends, demonstrated through various signal-background workflows and applications to ATLAS open data.
This paper predicts the mass spectra of experimentally unobserved -wave singly heavy , , and baryons () by employing a quark-diquark configuration within a Regge trajectory model and calculating spin-dependent mass shifts via a matrix to guide future experimental searches.
This paper investigates the parton distribution functions of kaon and heavy pseudoscalar mesons using a light-cone quark model evolved via NLO DGLAP equations, providing predictions for NLO structure functions at Electron-Ion Collider energies and Drell-Yan cross sections for the COMPASS++/AMBER experiment while demonstrating the dominance of heavy constituents in carrying momentum fractions.
This paper proposes a scalable lattice of levitated ferromagnets for ultralight dark matter detection, demonstrating that while dipole-dipole interactions create a narrow thermal-noise blind zone, the collective system significantly enhances sensitivity to axion-electron, dark-photon, and axion-photon couplings compared to single-ferromagnet detectors.
This paper demonstrates that integrating quantum error correction with logical GHZ entanglement in CMOS spin qubit arrays can effectively mitigate longitudinal dephasing, thereby restoring entanglement-enhanced sensitivity and achieving order-of-magnitude improvements in detecting axion-electron coupling for dark matter searches.
This paper introduces a Flow Matching generative model that rapidly and accurately predicts final-state hadron spectra from jet-induced hydrodynamic responses in heavy-ion collisions, achieving a six-order-of-magnitude computational speedup over traditional full simulations while preserving key physical properties.