activity
20142025
most citedQuasi-Objective Coherent Structure Diagnostics from Single Trajectories

22 citations · 62 across the 9 of their papers we have counts for

collaborators

9 papers

physics.ao-ph2025

Turbulent Snow Transport and Accumulation: New Reduced-Order Models and Diagnostics

Nikolas O. Aksamit, Alex P. Encinas-Bartos, Holt Hancock +1

Understanding and modeling snow particle dynamics in the atmosphere remains a significant challenge for atmospheric scientists, hydrologists, and glaciologists. Temporally and spat…

physics.flu-dyn2023★ 5 cited

Relative Fluid Stretching and Rotation for Sparse Trajectory Observations

Nikolas O. Aksamit, Alex P. Encinas-Bartos, George Haller +1

As most mathematically justifiable Lagrangian coherent structure detection methods rely on spatial derivatives, their applicability to sparse trajectory data has been limited. For…

physics.flu-dyn2023★ 1 cited

Interplay between advective, diffusive, and active barriers in Rayleigh-Bénard flow

Nikolas Aksamit, Robert Hartmann, Detlef Lohse +1

Our understanding of the material organization of complex fluid flows has recently benefited from mathematical developments in the theory of objective coherent structures. These me…

physics.flu-dyn2021★ 13 cited

Quasi-Objective Eddy Visualization from Sparse Drifter Data

Alex P. Encinas Bartos, Nikolas O. Aksamit, George Haller

We employ a recently developed single-trajectory Lagrangian diagnostic tool, the trajectory rotation average , to visualize oceanic vortices (or eddies…

physics.flu-dyn2021★ 18 cited

Objective Momentum Barriers in Wall Turbulence

Nikolas O. Aksamit, George Haller

We use the recent frame-indifferent theory of diffusive momentum transport to identify internal barriers in wall-bounded turbulence. Formed by the invariant manifolds of the Laplac…

physics.flu-dyn2021★ 22 cited

Quasi-Objective Coherent Structure Diagnostics from Single Trajectories

George Haller, Nikolas Aksamit, Alex P. Encinas Bartos

We derive measures of local material stretching and rotation that are computable from individual trajectories without reliance on other trajectories or on an underlying velocity fi…

math.DS2019★ 3 cited

Machine-Learning Ocean Dynamics from Lagrangian Drifter Trajectories

Nikolas O. Aksamit, Themistoklis P. Sapsis, George Haller

Lagrangian ocean drifters provide highly accurate approximations of ocean surface currents but are sparsely located across the globe. As drifters passively follow ocean currents, t…

math.DS2015

Some Technical Thoughts on Modeling

Nikolas O. Aksamit, Don H. Tucker, James F. Tucker

This paper is more an essay than a report. There is a gentle introduction to some issues in modeling, followed by the use of steepest descent methods to develop a model as contrast…

math.CA2014

Eye of the Beholder

Nikolas Aksamit, Don Tucker

We show that the real line R viewed as a vector space is of uncountable (algebraic) dimension over the scalar field Q of rational numbers. We then build an operator J which maps {R…