Multi-Point Gradient Estimation in Turbulence
Theodore Broeren, Kristopher Klein

TL;DR
This paper investigates how the shape and configuration of measurement points affect the accuracy of local gradient estimations in turbulence studies, demonstrating that well-shaped four-point configurations can yield highly accurate results.
Contribution
It introduces an analysis of gradient estimation accuracy based on point configuration shape, emphasizing the importance of point arrangement over quantity.
Findings
Four-point configurations can accurately estimate gradients if well-shaped.
Shape and relative size of measurement points significantly influence estimation accuracy.
Properly arranged four points outperform irregular configurations in gradient estimation.
Abstract
When studying turbulence, it is often desirable to be able to estimate the local spatial gradient of a vector quantity using in situ measurements from a small number of irregularly spaced points. While previous studies have focused on the accuracy of these methods as the number of measurement points varies, we focus on the accuracy of gradient estimations as a function of shape of the measurement point configuration. We find that for well-shaped configurations that are of correct relative size, we can very accurately estimate the local spatial gradient using only four points.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsFluid Dynamics and Turbulent Flows · Wind and Air Flow Studies · Meteorological Phenomena and Simulations
