activity
20162023
most citedA multifractal surrogate data generation algorithm that preserves pointwise Holder regularity structure, with initial applications to turbulence

22 citations · 23 across the 4 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2023

Brief Communication: Dimensionality Reduction in Total Dynamic Mode Decomposition Using A Simple Geometric Method

Chris Keylock

Dynamic mode decomposition (DMD) and its variants have emerged as popular methods for the post-processing of fluid dynamics' simulations in order to visualize dominant coherent str…

physics.flu-dyn2017★ 1 cited

The velocity gradient tensor for homogeneous, isotropic turbulence (HIT), with explicit consideration of local and non-local effects using a Schur decomposition

Christopher J. Keylock

A Schur decomposition of the velocity gradient tensor (VGT) for homogeneous, isotropic turbulence (HIT) is undertaken and its physical consequences examined. This decomposition per…

physics.flu-dyn2017

A Schur decomposition reveals the richness of structure in homogeneous, isotropic turbulence as a consequence of localised shear

Christopher J Keylock

An improved understanding of turbulence is essential for the effective modelling and control of industrial and geophysical processes. Homogeneous, isotropic turbulence (HIT) is the…

physics.data-an2017★ 22 cited

A multifractal surrogate data generation algorithm that preserves pointwise Holder regularity structure, with initial applications to turbulence

Christopher J Keylock

An algorithm is described that can generate random variants of a time series or image while preserving the probability distribution of original values and the pointwise Holder regu…

physics.flu-dyn2016

The turbulence velocity gradient tensor formed additively by normal and non-normal tensors

Christopher J. Keylock

We decompose the velocity gradient tensor for turbulence into normal and non-normal parts, and condition our analysis on the strain eigenvector alignments between these tensors. We…