5243 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.
The paper introduces Hybrid Partial Dressing (HPD), a novel diagrammatic resummation scheme for finite-temperature effective potentials that is two-loop exact and free of overlapping momentum issues at all temperatures, successfully reproducing high-temperature Dimensional Reduction results while enabling robust predictions for strong first-order phase transitions and gravitational waves.
This paper presents a suite of generative point-cloud models—CaloClouds3, CaloHadronic, and AllShowers—that significantly accelerate and unify calorimeter simulation for diverse particle types and geometries, while cross-geometry transfer learning further reduces training data requirements by orders of magnitude.
This paper introduces a novel, unbinned validation method for Monte Carlo reweighting schemes based on Optimal Transport, termed "Cross-Section-Mover's Distance," which quantifies the work required to transform theoretical predictions to effectively capture phase-space correlations and biases that traditional 1D histogram comparisons might miss.
The paper introduces Parnassus, a generative machine-learning surrogate based on conditional flow matching that emulates full Geant4 simulation and Pandora reconstruction for the CLD detector at the FCC-ee, achieving generation speeds orders of magnitude faster than traditional methods while preserving high-fidelity kinematic, particle-ID, and flavor-tagging performance.
This paper introduces a permutation-invariant Set Transformer that learns to map unordered sets of neutron star observations directly to the dense matter equation of state, providing physically interpretable, well-calibrated predictions with density-dependent uncertainties without assuming a fixed star-to-density correspondence.
Using observational data from DES, DESI, CMB, and RSD measurements, this study finds that a scalar-vector-tensor dark energy model featuring a stable crossing of the phantom divide provides a better fit and stronger Bayesian support than the standard CDM model.
This paper unifies four previously distinct frameworks for describing black hole first-order phase transitions by proving that the divergence of the normalized Ruppeiner curvature scalar coincides with the critical points of the temperature function, thereby integrating thermodynamic geometry into a single structure based on the local folding of the temperature function.
This paper compares standard NLO and MiNLO approaches for the full off-shell process at the LHC, demonstrating how the MiNLO method's dynamic scale setting and Sudakov form factors improve predictions, particularly for production and merged multi-jet modeling.
This paper demonstrates that a natural saturation mechanism limits the resonant production of sterile neutrino dark matter at high lepton asymmetries, as the resulting delayed resonance epoch triggers active neutrino oscillations that redistribute and deplete the very asymmetry required for production, thereby constraining the viable parameter space for future X-ray telescope investigations.
This paper establishes a systematic renormalization framework for strong-field QED by demonstrating that its renormalizability derives from vacuum QED, while identifying the necessity of a new counterterm to address divergences in the vacuum-induced electromagnetic field and confirming the physical equivalence of different renormalization approaches.