We present an experimental analysis of the variance of photon-correlation and photon-structure functions obtained from dynamic light-scattering measurements. The results are compared with theoretical predictions. The noise evaluation of the statistical estimators has been obtained by using a fluctuation analyzer, specifically built for this purpose, which uses linearly spaced sampling time. The noise dependences on the experimental bounds (mean count rate and sampling time) are investigated. The predicted behavior of the estimator variances has been confirmed. However, the measured accuracies of correlation and structure functions show a discrepancy between their analytical expressions and the experimental results in the high-intensity limit of the scattered light. The results confirm that the structure function has better noise performance for relatively high mean count rates. This strongly suggests a wider use of this statistical estimator in measurements requiring a good accuracy, such as in the analysis of polydispersed microparticle size distribution, in the case of uniform sampling.

Experimental Analysis of the noise in photon correlation and photon structure functions

CAPOZZI, VITO GIACOMO;
1992-01-01

Abstract

We present an experimental analysis of the variance of photon-correlation and photon-structure functions obtained from dynamic light-scattering measurements. The results are compared with theoretical predictions. The noise evaluation of the statistical estimators has been obtained by using a fluctuation analyzer, specifically built for this purpose, which uses linearly spaced sampling time. The noise dependences on the experimental bounds (mean count rate and sampling time) are investigated. The predicted behavior of the estimator variances has been confirmed. However, the measured accuracies of correlation and structure functions show a discrepancy between their analytical expressions and the experimental results in the high-intensity limit of the scattered light. The results confirm that the structure function has better noise performance for relatively high mean count rates. This strongly suggests a wider use of this statistical estimator in measurements requiring a good accuracy, such as in the analysis of polydispersed microparticle size distribution, in the case of uniform sampling.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11369/4546
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