subject: uncertainty quantification
10.4231/D2FC-N191
Jiacheng Zhang , Lalit Rajendran , Pavlos Vlachos , Sally P M Bane , Sayantan Bhattacharya
05/18/2021
We present an uncertainty quantification methodology for density estimation from background-oriented Schlieren (BOS) measurements, in order to provide local, instantaneous, a posteriori uncertainty bounds on each density measurement in the field...
Aeronautics and Astronautics Engineering background oriented schlieren Numerical Analysis Python uncertainty quantification
10.4231/DV5G-5186
06/26/2020
Propose a model to describe the effect of density/refractive index gradients on reducing the measurement precision of background-oriented schlieren (BOS) experiments by deriving the Cramer–Rao lower bound (CRLB) for the 2D centroid estimation...
background oriented schlieren cramer-rao lower bound uncertainty quantification
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