Subject
Creator
- Lalit Rajendran, 0000-0002-5673-6063 2
- Jiacheng Zhang, 0000-0002-9027-6531 1
- Pavlos Vlachos, 0000-0002-8040-9257 1
- Sally P M Bane 1
- Sayantan Bhattacharya 1
Type
- Dataset 2
Date
subject: Python subject: background oriented schlieren type: dataset
Total is 2 Results
Uncertainty quantification in density estimation from background oriented schlieren (BOS) measurements
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
PIV/BOS synthetic image generation in variable density environments for error analysis and experiment design
10.4231/P45Z-8361
08/26/2020
Ray tracin based image generation methodology to render realistic images of particle image velocimetry (PIV) and background oriented schlieren (BOS) experiments in the presence of density/refractive index gradients.
Aeronautics and Astronautics Engineering background oriented schlieren cuda particle image velocimetry Python ray tracing
Display #
Results 1 - 2 of 2