Olfactory search at high Reynolds number

AUTOR(ES)

Balkovsky, Eugene

FONTE

The National Academy of Sciences

RESUMO

Locating the source of odor in a turbulent environment—a common behavior for living organisms—is nontrivial because of the random nature of mixing. Here we analyze the statistical physics aspects of the problem and propose an efficient strategy for olfactory search that can work in turbulent plumes. The algorithm combines the maximum likelihood inference of the source position with an active search. Our approach provides the theoretical basis for the design of olfactory robots and the quantitative tools for the analysis of the observed olfactory search behavior of living creatures (e.g., odor-modulated optomotor anemotaxis of moths).

Documentos Relacionados

• High Reynolds number oscillations of a circular cylinder
• Aerodynamics of Harmonically Oscillating Aerofoil at Low Reynolds Number
• Control of Reynolds number in a high speed wind tunnel
• Improvement of Airfoils Aerodynamic Efficiency by Thermal Camber Phenomenon at Low Reynolds Number
• Simulation of two-dimensional high reynolds number wake flows with the use of filtered lagrangian navier-stokes equations