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Quantifying Numerical Uncertainty in Background-Oriented Schlieren
Our study presents and evaluates a method for computing the numerical uncertainty in Background Oriented Schlieren (BOS). We use Richardson extrapolation to assess the uncertainty of numerical integration of density gradients, based on residuals of density results across two grid levels. By integrat...
Autores principales: | Anand, Pranjal, Zhang, Jiacheng, Rajendran, Lalit K., Bane, Sally P. M., Vlachos, Pavlos P. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Journal Experts
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10543532/ https://www.ncbi.nlm.nih.gov/pubmed/37790496 http://dx.doi.org/10.21203/rs.3.rs-3349946/v1 |
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