Improving method of estimating autocorrelation function in PCS technique

Jin Shen; Gang Zheng; Mengchao Li; Guoqiang Sun

doi:10.1117/12.471673

20 September 2002 Improving methods of estimating autocorrelation function in PCS technique

Jin Shen, Gang Zheng, Mengchao Li, Guoqiang Sun

Proceedings Volume 4927, Optical Design and Testing; (2002) https://doi.org/10.1117/12.471673
Event: Photonics Asia, 2002, Shanghai, China

Abstract

Particles suspended in a fluid exhibit Brownian motion. This motion is due to collisions of the fluid molecules with the suspended particles. The smaller the particles are, the higher their frequency is. The laser light scattered by particles exhibiting Brownian motion will also fluctuate with time. The fluctuation frequency of the intensity of the scattered light will therefore depend on the size of the particles. Therefore the measured light signal contains information about the particle size. Photon correlation spectroscopy (PCS) is an important method for studying fluctuation frequency of the intensity of the scattered light, in which autocorrelation function estimation plays a key role. Accurate particle size measurements are possible only when the autocorrelation function is of high quality. Based on the character of software correlation, two measures, subtracted average from the signal and adopted non-bias estimation, were taken in this paper to improve the quality of software estimation. The results indicate that it is feasible for getting better autocorrelation estimation using the software autocorrelation method.

Citation Download Citation

Jin Shen, Gang Zheng, Mengchao Li, and Guoqiang Sun "Improving methods of estimating autocorrelation function in PCS technique", Proc. SPIE 4927, Optical Design and Testing, (20 September 2002); https://doi.org/10.1117/12.471673

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available