Intensity-based dynamic speckle method for analysis of variable-rate dynamic events

TL;DR

This paper evaluates an intensity-based dynamic speckle method for analyzing variable-rate dynamic events through simulations, controlled experiments, and real-world drying processes, demonstrating its effectiveness in characterizing speed evolution.

Contribution

It introduces and validates an intensity-based speckle analysis technique capable of tracking variable speed changes in dynamic events.

Findings

The method accurately describes speed evolution in simulated data.

It effectively analyzes speckle patterns from phase distributions with controllable correlation radius.

Successful application to drying polymer solutions demonstrates practical utility.

Abstract

We study efficiency of intensity-based dynamic speckle method for characterization of dynamic events which occur at variable rate in time within the temporal averaging interval. We checked ability of the method to describe the speed evolution by i) numerical simulation at variable speed, ii) processing of speckle patterns obtained from phase distributions fed to a SLM at controllable change of the temporal correlation radius of speckle intensity fluctuations and iii) conducting experiments with a polymer solution drying by using a hot-stage. The numerical and SLM simulation experiments allowed for modification of the used estimates in order to obtain relevant information