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Determination of the Excitation and Coupling Rates Between Light Emitters and Surface Plasmon Polaritons

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Power spectra for laser-extinction measurements.

B Lacaze, M Chabert

|June 12, 2009

Summary

This study models particle flow dynamics using a queueing process and random intensity fluctuations. The developed model accurately estimates particle concentration and velocity from laser-extinction measurements (LEM).

Area of Science:

Fluid dynamics
Particle transport
Optical measurement techniques

Background:

Laser-extinction measurements (LEM) estimate particle concentration by analyzing residual laser light intensity.
Particle flow dynamics are subject to random, time-varying fluctuations, complicating accurate measurements.
Existing models often simplify these fluctuations, limiting their applicability.

Purpose of the Study:

To develop a robust model for laser-extinction measurements (LEM) that accounts for random particle flow fluctuations.
To derive the intensity power spectrum based on a queueing process model for particle flow.
To provide a method for estimating particle velocity (celerity) from the modeled intensity.

Main Methods:

Modeling particle flow using a queueing process to represent random fluctuations.

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Deriving the theoretical intensity power spectrum based on the queueing model.

Analyzing the specific case of constant particle velocity within the developed framework.

Main Results:

A novel random process model for received laser light intensity in LEM.
The derivation of the intensity power spectrum, linked to particle flow characteristics.
A method for estimating particle celerity, generalizing previous simplified models.

Conclusions:

The proposed queueing model enhances the accuracy of particle concentration and velocity estimation in fluid dynamics.
This approach offers a more generalized framework compared to existing simplified models for laser-extinction measurements.
The study provides a valuable tool for analyzing complex particle flow dynamics using optical techniques.