Results 91 to 100 of about 3,055 (272)

Dualities for adjoint SQCD in three dimensions and emergent symmetries

Journal of High Energy Physics, 2019
In this paper we study dualities for N $$ \mathcal{N} $$ = 2 gauge theories in three dimensions with matter in the fundamental and adjoint representation. The duality we propose, analogous to mirror symmetry, is obtained starting from N $$ \mathcal{N} $$
Simone Giacomelli
doaj   +1 more source

Impacts of atmospheric river reconnaissance dropsondes on ECMWF Integrated Forecasting System precipitation forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Impacts of Atmospheric River Reconnaissance dropsonde observations on precipitation forecasts over the U.S. West Coast are examined in the European Centre for Medium‐Range Weather Forecasts (ECMWF) Integrated Forecasting System (IFS), using observing‐system experiments.
Jia Wang, David A. Lavers, Luca Delle Monache, Bruce Ingleby, Minghua Zheng, Xingren Wu, Fred Martin Ralph, Florian Pappenberger   +7 more
wiley   +1 more source

Safe SUSY

Journal of High Energy Physics, 2018
We investigate the short distance fate of distinct classes of not asymptotically free supersymmetric gauge theories. Examples include super QCD with two adjoint fields and generalised superpotentials, gauge theories without superpotentials and with two ...
Borut Bajc, Nicola Andrea Dondi, Francesco Sannino   +2 more
doaj   +1 more source

Lifting automorphisms of quotients of adjoint representations

, 2013
Changes made following referee's suggestions.
openaire   +3 more sources

Exploring strongly coupled land/atmosphere data assimilation for numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Soil moisture and soil temperature can be analyzed effectively in a numerical weather prediction system by expanding the atmospheric ensemble‐based data assimilation to update the soil states also. The best results were obtained here using a strongly coupled land/atmosphere data assimilation to assimilate the standard atmospheric observations plus ...
Clara Draper, Jeffrey Whitaker, Michael Barlage   +2 more
wiley   +1 more source

Data assimilation with extremum Monte Carlo methods

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study presents the extremum Monte Carlo filter as a data assimilation method and, in particular, a variant of the variational approach (three‐ and four‐dimensional variational), where the state estimates are obtained by solving an optimization problem numerically over a space of prediction functions, instead of the state space itself.
Karim Moussa, Siem Jan Koopman
wiley   +1 more source

A pilot variational coupled reanalysis based on the CESAM climate model

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Variational data assimilation of in‐situ and satellite ocean data and reanalysis atmospheric data into an intermediate complexity Earth system model is possible by adjusting the surface fluxes and internal model parameters. This pilot application requires nearly complete information on the atmospheric state for synchronization.
Armin Köhl, Iuliia Polkova, Guokun Lyu, Frank Lunkeit, Abhirup Banerjee, Silke Schubert, Detlef Stammer   +6 more
wiley   +1 more source

The Adjoint Representation of Quantum Algebra U_q(sl(2)) [PDF]

, 2009
Č. Burdík, Ondřej Navrátil, Severin Pošta   +2 more
openalex   +1 more source

Simulating Quantum State Transfer Between Distributed Devices Using Noisy Interconnects

Advanced Quantum Technologies, EarlyView.
Noisy connections challenge future networked quantum computers. This work presents a practical method to address this by simulating an ideal state transfer over noisy interconnects. The approach reduces the high sampling cost of previous methods, an advantage that improves as interconnect quality gets better.
Marvin Bechtold, Johanna Barzen, Frank Leymann, Alexander Mandl   +3 more
wiley   +1 more source

Robust Control Design and Analysis Based on Lifting Linearization of Nonlinear Systems Under Uncertain Initial Conditions

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper presents a robust control synthesis and analysis framework for nonlinear systems with uncertain initial conditions. First, a deep learning‐based lifting approach is proposed to approximate nonlinear dynamical systems with linear parameter‐varying (LPV) state‐space models in higher‐dimensional spaces while simultaneously ...
Sourav Sinha, Mazen Farhood
wiley   +1 more source