Results 41 to 50 of about 43,365 (195)

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source

The prediction of future from the past: an old problem from a modern perspective

, 2012
The idea of predicting the future from the knowledge of the past is quite natural when dealing with systems whose equations of motion are not known. Such a long-standing issue is revisited in the light of modern ergodic theory of dynamical systems and ...
A. Vulpiani, Campbell L., Cercignani C., Ehret T., F. Cecconi, Gleick J., Kantz H., Kostelich E. J., Lorenz E. N., Lorenz E. N., Lynch P., M. Cencini, M. Falcioni, Richardson L. F., Weigend A. S.   +14 more
core   +1 more source

The Smearing of Quasi‐Particles: Signatures in the Entanglement Entropy of Excited Many‐Particle Systems

Advanced Quantum Technologies, EarlyView.
Entanglement reveals hidden structure in quantum matter. We explore how quasi‐particles shape the crossover from area‐law to volume‐law entanglement, using models from spinless fermions to SYK. Our results show a striking linear growth of entanglement with energy, explained as a hallmark of quasi‐particles, offering new insight into the entanglement ...
Jagannath Sutradhar, Jonathan Ruhman, Avraham Klein, Dimitri Gutman, Richard Berkovits   +4 more
wiley   +1 more source

Tensor product random matrix theory

Physical Review Research
The evolution of complex correlated quantum systems such as random circuit networks is governed by the dynamical buildup of both entanglement and entropy.
Alexander Altland, Joaquim Telles de Miranda, Tobias Micklitz   +2 more
doaj   +1 more source

Spectral Rate Theory for Two-State Kinetics

Physical Review X, 2014
Classical rate theories often fail in cases where the observable(s) or order parameter(s) used is a poor reaction coordinate or the observed signal is deteriorated by noise, such that no clear separation between reactants and products is possible.
Jan-Hendrik Prinz, John D. Chodera, Frank Noé   +2 more
doaj   +1 more source

Genericity in Topological Dynamics

, 2006
We study genericity of dynamical properties in the space of homeomorphisms of the Cantor set and in the space of subshifts of a suitably large shift space.
Ageev, Akin, Alpern, Bezugly, del Junco, Halmos, MICHAEL HOCHMAN, Rohlin   +7 more
core   +3 more sources

Trading Zones Between Thick and Thin: Anthropological Description as Scaffold or Mosaic

American Anthropologist, EarlyView.
ABSTRACT Referring to the work of historian of science Peter Galison, I argue that anthropology requires thin description as an essential counterpart for thick description. Thin accounts provide the scaffolding within which thick descriptions sit. Galison uses the idea of a “trading zone” connecting different communities who, despite their differences (
David Zeitlyn
wiley   +1 more source

Statistical properties of eigenvalues for an operating quantum computer with static imperfections

, 1900
We investigate the transition to quantum chaos, induced by static imperfections, for an operating quantum computer that simulates efficiently a dynamical quantum system, the sawtooth map.
D. L. Shepelyansky, G. Benenti, G. Casati, Physical Journal D, S. Montangero   +4 more
core   +2 more sources

Uniform Convergence of Cesaro Averages for Uniquely Ergodic C*-Dynamical Systems

Entropy, 2018
Consider a uniquely ergodic C*-dynamical system based on a unital *-endomorphism Φ of a C*-algebra. We prove the uniform convergence of Cesaro averages 1n∑k=0n−1λ−nΦ(a) for all values λ in the unit circle, which are not eigenvalues corresponding to ...
F. Fidaleo
semanticscholar   +1 more source

Enhancing generalizability theory with mixed‐effects models for heteroscedasticity in psychological measurement: A theoretical introduction with an application from EEG data

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Generalizability theory (G‐theory) defines a statistical framework for assessing measurement reliability by decomposing observed variance into meaningful components attributable to persons, facets, and error. Classic G‐theory assumes homoscedastic residual variances across measurement conditions, an assumption that is often violated in ...
Philippe Rast, Peter E. Clayson
wiley   +1 more source