Parameter Estimation using Wavelength Modulation Spectroscopy Temperature Measurements and Approximate Bayesian Computation

Autor:	Gregory B. Rieker, Daniel Petrykowski, Ian Grooms, Siddharth P. Nigam, Torrey R. S. Hayden, Caelan Lapointe, Peter E. Hamlington, Jason D. Christopher, Nicholas T. Wimer
Rok vydání:	2018
Předmět:	Physics::Fluid Dynamics Physics Wavelength modulation spectroscopy Jet (fluid) Computer simulation Estimation theory Turbulence Modulation spectroscopy Approximate Bayesian computation Temperature measurement Computational physics
Zdroj:	Light, Energy and the Environment 2018 (E2, FTS, HISE, SOLAR, SSL).
DOI:	10.1364/ee.2018.em3a.5
Popis:	We use approximate Bayesian computation (ABC) to estimate parameters in a 3D high-temperature turbulent buoyant jet large-eddy simulation (LES). Wavelength modulation spectroscopy (WMS) provides reference temperature measurements. Parameters provide close agreement between simulation and experiment.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::890aa98707c8eb9dc8b8399f12aceb7f https://doi.org/10.1364/ee.2018.em3a.5 Zobrazit plný text záznamu