816 papers
This paper establishes a relative Poincaré–Verdier duality for supermanifolds via Berezin fiber integration to rigorously define picture changing operators and prove the equivalence of component, superspace, and geometric formulations of 3d supergravity.
This paper investigates a discrete model of a heterogeneous elastic line with random springs, demonstrating that when the spring constant distribution follows a power law with exponent , the system exhibits anomalous scaling driven by sample-to-sample fluctuations and abrupt shape jumps, a finding that challenges previous theoretical predictions and is validated by numerical simulations.
This study presents a practical method using acid extraction and ICP-MS to measure U and Th in liquid scintillator at sub-ppq levels with nearly 100% recovery efficiency and a detection limit of 0.2–0.3 ppq, achieved through rigorous cleanliness control and validated by three standard addition techniques.
This paper proposes a probabilistic reconstruction method that enhances the "Advection of the image point" hyper-parameterisation approach to accurately and efficiently approximate ocean dynamics from limited data, demonstrating superior speed and accuracy compared to traditional high-resolution NEMO model simulations while offering potential applications in operational forecasting and data gap filling.
This paper derives an explicit, non-asymptotic formula for the expected Lipschitz-Killing curvatures of excursion sets for arbitrary left-invariant Gaussian spin spherical random fields on with respect to an arbitrary metric, providing a general framework applicable to non-degenerate Gaussian fields on three-dimensional compact Riemannian manifolds for analyzing Cosmic Microwave Background polarization.
This paper proposes that the patterns of spontaneous symmetry breaking and vacuum degeneracy in scalar and gauge field systems can be qualitatively classified by modeling the vacuum manifold as a principal groupoid bundle and analyzing the singular foliation it induces on the moduli space of vacuum expectation values.
This paper resolves the issue of general covariance in spherically symmetric effective quantum gravity by deriving necessary conditions for the effective Hamiltonian constraint, leading to two new quantum-modified black hole models that overcome limitations found in previous works.
This paper analytically and numerically investigates a lattice Lorentz gas on a cylinder, demonstrating how crowding and quasi-confinement induce a dimensional crossover from two to one dimensions in equilibrium and characterizing the resulting stationary velocity and diffusion under an external pulling force to first order in obstacle density.
This study explains the emergence of nearly constant mean angular momentum profiles in high-Reynolds-number Taylor–Couette turbulence by demonstrating that incorporating the history effects of Reynolds stress, specifically through the convection term modeled via the Jaumann derivative, is essential for accurately predicting these profiles in the featureless ultimate regime.
Numerical modeling suggests that convection drives large englacial plumes in north Greenland by exploiting softer, more stable ice, a finding that implies significantly lower ice viscosity and reduced basal sliding than previously assumed, thereby offering a pathway to improve future ice-sheet mass balance projections.
This paper derives a new covariant effective Hamiltonian constraint in spherically symmetric quantum gravity that resolves the classical singularity into a Schwarzschild-de Sitter region with negative mass, thereby eliminating the Cauchy horizons typically found in previous models.
This paper defines a fractional Ito stochastic integral with respect to a randomly scaled fractional Brownian motion using an -transform approach, establishes the corresponding Ito formula, and applies it to investigate generalized time-fractional evolution equations.
This paper investigates the one-dimensional stochastic porous medium equation with additive white noise, combining functional renormalization group predictions and extensive numerical simulations to characterize its growth exponents, anomalous scaling, and multiscaling properties, while identifying its stationary measure with a random walk model related to a Bessel process.
This paper investigates the sensitivity of the Reynolds lubrication equation to large surface gradients and compares its predictions with Stokes flow solutions in various corner geometries, demonstrating that while pressure drop errors increase with steeper gradients, the recirculation zones observed in Stokes flows do not significantly disrupt bulk flow characteristics.
This paper introduces Latent Data Assimilation (LDA), a machine learning framework that performs Bayesian data assimilation within an autoencoder-learned latent space to effectively capture nonlinear physical constraints and produce physically consistent, high-quality atmospheric analyses that outperform traditional model-space methods.
This paper investigates the quantum transition between Schwarzschild and string black holes in the large limit by reducing the problem to two dimensions via T-duality, deriving the Wheeler-De Witt equation to treat the geometries as distinct wave function states, and calculating the transition probability driven by string coupling.
This paper presents a physics-based interpretability framework using Shapley analysis to decode an AI model's predictions of tearing mode stability in tokamaks, revealing that core electron temperature and rotation peaking are the primary drivers of stability in DIII-D experiments.
This paper proposes and theoretically validates an efficient experimental scheme using multiparameter global optimization and lattice phase adjustment to load ultracold Fermi gases with broad momentum distributions into higher orbital bands of one-dimensional optical lattices, while identifying multiple quasi-momentum state occupancy as the primary factor limiting loading efficiency.
Using sign-problem-free determinant quantum Monte Carlo simulations, this study demonstrates that introducing next-nearest-neighbor hopping in the attractive Hubbard model on a square lattice can significantly enhance the critical temperature by up to 50% while simultaneously reducing the pseudogap region, offering a viable route to achieve experimentally accessible superconducting temperatures.
This paper investigates the blowup phenomena of Toda systems, which generalize the Liouville equation via simple Lie algebras, by providing concrete examples of blowup masses that correspond to Weyl groups.