3305 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 discovery-grade framework for detecting sub-MeV dark matter by searching for correlated "satellite-line combs"—multiple weak -ray lines shifted by a common energy offset below known neutron-capture transitions—using high-resolution HPGe detectors to suppress nuclear and instrumental backgrounds.
This paper computes non-eikonal corrections to dijet production in deep inelastic scattering off a nucleus, deriving all-order expressions in terms of path integrals and demonstrating that next-to-eikonal corrections vanish under the harmonic oscillator approximation for target averages.
This paper presents a formalism and computational techniques for calculating tree-level QED scattering cross sections in strong magnetic fields exceeding the Schwinger limit, implementing the results in an open-source Python package to support future studies of magnetar magnetospheric dynamics.
This paper demonstrates the near-term feasibility of deploying quantum-inspired tensor network algorithms, specifically a spaced matrix product operator and its cascaded variant, on FPGA hardware to enable real-time anomaly detection for beyond-Standard-Model physics at particle colliders.
This paper presents CaloScore v2, an improved diffusion-based model for fast calorimeter shower simulation that utilizes progressive distillation to achieve high-fidelity sample generation with a single function evaluation, thereby overcoming the computational bottlenecks of traditional diffusion processes.
This paper introduces SBUnfold, a novel generative unfolding method leveraging Schrödinger Bridges and diffusion models to combine the strengths of discriminative and generative approaches, enabling efficient, high-dimensional cross-section measurements without relying on known probability densities.
This paper demonstrates how a new Foundation Model for hadronic jets addresses three critical challenges in collider physics—reducing computational costs for reconstruction, enabling comprehensive uncertainty quantification, and facilitating model-agnostic new physics searches—thereby transitioning jet-based Foundation Models from proof-of-concept studies to practical tools for researchers.
The paper investigates the Brout-Englert-Higgs mechanism prior to symmetry breaking and demonstrates that the interaction between Higgs fields and massless gauge fields results in the production of particles with negative squared mass.
The paper introduces "OmniLearn," a jet-physics foundation model that leverages a representation learned from a specific multiclass generation and classification task to simultaneously enhance the accuracy, precision, and speed of diverse downstream jet physics tasks across different datasets, collision systems, and analysis goals.
This paper comprehensively updates experimental constraints on flavor-violating boson couplings to charged leptons by analyzing a wide range of direct and indirect bounds from current data and provides projections for future improvements from experiments like FCC-ee, Belle II, and Mu2e.