3277 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 presents the complete one-loop matching of the general 124-parameter MSSM with conserved R-parity onto both the SMEFT and the two-Higgs-doublet-model EFT using the Matchete package, providing a comprehensive framework for systematic global studies of supersymmetric parameter space while retaining full flavor structure and non-degenerate superpartner masses.
This paper proposes and demonstrates a quantum algorithm for computing n-gluon maximally helicity violating (MHV) tree-level scattering amplitudes by utilizing a unitarization method to construct necessary color and kinematic gates, showing promising performance on simulated circuits for up to four gluons.
This paper presents projections for the precision of Higgs boson cross-section measurements in the H decay channel at the FCC-ee across multiple production mechanisms and energies, demonstrating an expected improvement of at least an order of magnitude over current LHC sensitivities through advanced tau decay reconstruction techniques.
Using the clear gravitational wave signal GW250114, this study performs the most precise tests of general relativity in the nonlinear strong-gravity regime to date by constraining deviations in spin-precessing binary black hole mergers to significantly tighter limits than previous analyses of GW150914.
This paper revisits - conversion in R-parity violating supersymmetry by incorporating renormalization group running effects to derive updated constraints on trilinear couplings, demonstrating that while these effects are often modest, they can significantly tighten limits in specific cases and highlighting the superior sensitivity of upcoming COMET and Mu2e experiments compared to current decay searches.
This paper applies radiative corrections to recent MINERvA antineutrino-hydrogen scattering data to extract the nucleon axial-vector form factor and radius, thereby enabling more precise comparisons with lattice QCD predictions and reducing uncertainties in neutrino interaction modeling.
This paper numerically investigates electron-positron pair production in strong oscillating electric fields with multi-pulse structures, revealing that varying the inter-pulse delay induces a characteristic time-domain multi-slit interference pattern in the production probability.
This paper demonstrates that while naive application of the Casas-Ibarra parametrization with 1-loop corrections leads to incorrect neutrino oscillation predictions, a modified approach that reabsorbs these corrections into the right-handed neutrino mass matrix yields consistent results, while also establishing that heavy neutral lepton searches are insensitive to such corrections and that the decay provides competitive constraints for masses above 100 GeV.
This paper constructs an A4-based flavor symmetry model within the type-I seesaw framework that utilizes mu-tau reflection symmetry to naturally predict maximal atmospheric mixing and a maximal Dirac CP phase, while also successfully accommodating the observed non-maximal deviations in these parameters through a two-parameter numerical analysis consistent with current global neutrino oscillation data.
This paper presents a fast, high-fidelity generative model based on score-driven diffusion and the Point-Edge Transformer architecture that successfully simulates realistic, high-multiplicity heavy-ion collision events through a two-stage training strategy, demonstrating its potential to replace computationally intensive traditional simulations.