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subject: Python creator: Sayantan Bhattacharya type: dataset

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Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements

10.4231/D2FC-N191

Jiacheng Zhang ORCID logo , Lalit Rajendran ORCID logo , Pavlos Vlachos ORCID logo , 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

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