Zobrazeno 1 - 10
of 770
pro vyhledávání: '"Garnier Josselin"'
Autor:
Garnier Josselin
Publikováno v:
ESAIM: Proceedings and Surveys, Vol 74, Pp 63-89 (2023)
In this paper we review some aspects of wave propagation in random media. In the physics literature the picture seems simple: for large propagation distances, the wavefield has Gaussian statistics, mean zero, and second-order moments determined by ra
Externí odkaz:
https://doaj.org/article/81f5638e22bd4df7818e1bd07a050e6d
In computational physics, machine learning has now emerged as a powerful complementary tool to explore efficiently candidate designs in engineering studies. Outputs in such supervised problems are signals defined on meshes, and a natural question is
Externí odkaz:
http://arxiv.org/abs/2410.15721
Neutron noise analysis is a predominant technique for fissile matter identification with passive methods. Quantifying the uncertainties associated with the estimated nuclear parameters is crucial for decision-making. A conservative uncertainty quanti
Externí odkaz:
http://arxiv.org/abs/2410.01522
Autor:
Defaux, Gilles, Durantin, Cédric, Garnier, Josselin, Kerleguer, Baptiste, Perrin, Guillaume, Sire, Charlie
Bayesian calibration is an effective approach for ensuring that numerical simulations accurately reflect the behavior of physical systems. However, because numerical models are never perfect, a discrepancy known as model error exists between the mode
Externí odkaz:
http://arxiv.org/abs/2410.00116
Autor:
Garnier, Josselin, Sharma, Basant Lal
We study the propagation of surface waves across structured surfaces with random, localized inhomogeneities. A discrete analogue of Gurtin-Murdoch model is employed and surface elasticity, in contrast to bulk elasticity, is captured by distinct point
Externí odkaz:
http://arxiv.org/abs/2407.05056
We propose an efficient sensitivity analysis method for a wide class of colored noise-driven interacting particle systems (IPS). Our method is based on unperturbed simulations and significantly extends the Malliavin weight sampling method proposed by
Externí odkaz:
http://arxiv.org/abs/2406.11454
Autor:
Baudin Kilian, Garnier Josselin, Berti Nicolas, Fusaro Adrien, Zanaglia Lucas, Michel Claire, Doya Valérie, Krupa Katarzyna, Millot Guy, Picozzi Antonio
Publikováno v:
EPJ Web of Conferences, Vol 287, p 06024 (2023)
Nonlinear random waves exhibit a phenomenon of irreversible thermalization, in analogy with the thermalization of a classical gas system. This irreversible process of thermalization to the Rayleigh-Jeans equilibrium distribution has been recently obs
Externí odkaz:
https://doaj.org/article/e2962336e98648ba9c5f998a56a78a20
This work introduces a sampling method capable of solving Bayesian inverse problems in function space. It does not assume the log-concavity of the likelihood, meaning that it is compatible with nonlinear inverse problems. The method leverages the rec
Externí odkaz:
http://arxiv.org/abs/2405.15676
Autor:
Zanaglia, Lucas, Garnier, Josselin, Rica, Sergio, Kaiser, Robin, Wabnitz, Stefano, Michel, Claire, Doya, Valerie, Picozzi, Antonio
We consider the free propagation geometry of a light beam (or fluid of light) in a multimode waveguide. As a result of the effective photon-photon interactions, the photon fluid thermalizes to an equilibrium state during its conservative propagation.
Externí odkaz:
http://arxiv.org/abs/2405.06531
Sequential design is a highly active field of research in active learning which provides a general framework for the design of computer experiments to make the most of a low computational budget. It has been widely used to generate efficient surrogat
Externí odkaz:
http://arxiv.org/abs/2402.16520