5365 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 investigates the spatial diffusion and momentum transport coefficients of D mesons in dense nuclear matter using a chiral SU(3) hadronic model and kinetic theory, revealing that these properties decrease rapidly at low densities and more mildly at high densities, offering insights relevant to future heavy-ion collision experiments.
This paper introduces a model-agnostic graph autoencoder framework that leverages sparse graph constructions and subjet clustering to enhance anomaly detection performance and interpretability in high-dimensional LHC data.
Using worldline quantum field theory and advanced computational techniques, this paper calculates conservative black hole scattering contributions at fifth post-Minkowskian and second self-force orders, resolving a spurious velocity divergence through a novel prescription to ensure consistency with radiative effects and post-Newtonian limits.
This paper investigates the significant next-to-leading order (NLO) contributions to the differential cross-section of prompt photon production via quark-antiquark annihilation in proton-proton collisions at NICA energies, demonstrating that these corrections constitute approximately 15% of the leading order results and are strongly influenced by longitudinal proton polarization, with findings validated through PYTHIA 8.316 and POWHEG BOX Monte Carlo simulations.
This paper demonstrates that for axion-like particles with masses between 0.1 and 6 GeV, the most stringent current constraints on their coupling to photons arise from LHC searches where the decay photons are so collimated that they are reconstructed as a single photon.
This paper strengthens LHC constraints on extra-dimensional theories by analyzing the combined signal of the entire Kaluza-Klein graviton tower rather than just single resonances, thereby extending the search reach to lower mass regions using updated ATLAS and CMS diphoton and dilepton data.
This paper proposes that the abrupt collapse of massive astrophysical objects into black holes releases accumulated static scalar fields as "scalar tsunamis," which accumulate over cosmic history to form a stochastic diffuse background in the 1–1000 Hz range, thereby extending experimental sensitivity to scalar masses up to eV.
This paper presents a detailed analytical study of the radiative decay of the boson into a final state, revealing that photon emission can either induce decoherence or monotonically enhance the entanglement of the tau lepton pair depending on the phase space configuration.
This paper investigates the production of maximally invisible QCD axions in core-collapse supernovae to derive SN 1987A cooling constraints and emission spectra, while simultaneously evaluating their detectability prospects in Cherenkov detectors to establish a robust lower bound on the overall observability of QCD axions.
This paper demonstrates that softly broken generalized CP-symmetric three-Higgs-doublet models can successfully reproduce all observed quark masses and mixings, identifying 22 phenomenologically viable, inequivalent models after eliminating redundant parameterizations and performing numerical fits to experimental data.