How is an autocorrelation function computed? (Dynamic Light Scattering)

In summary, a digital correlator is used in an experiment of Dynamic Light Scattering to compute an autocorrelation function, mathematically represented as ##G(\tau)=\langle I(t)I(t+\tau) \rangle##. This process involves collecting scattered light intensity with a single detector and sending the signal to the correlator which performs a multiplication of the FFTs of the signals and then inverse FFT to filter the signal. The autocorrelation is computed by taking the FFT of the signal, squaring the vectors of the resulting spectrum, and computing the inverse FFT. This essentially filters the signal by itself.
  • #1
Salmone
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In an experiment of Dynamic Light Scattering, how is an autocorrelation like the one in the image computed?

dls-theory-figure-1-500.png

Mathematically a correlation function can be written as ##G(\tau)=\langle I(t)I(t+\tau) \rangle##, in an experiment like the one I mentioned the scattered intensity light is collected by a single detector, then the signal is sent to a digital correlator which computes the correlation function. How this process works? Once I have a signal from the detector, what does the correlator do? Does it multiply the intensity at time ##t## with the same intensity at time ##t+\tau## simply? How is the average implemented? By recording with the detector the same scattered intensity multiple times? Can you explain very generally how a digital correlator works?
 
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  • #2
Salmone said:
Can you explain very generally how a digital correlator works?
A correlator would take the FFT of the two signals, multiply those two spectra, then inverse FFT. In effect, filtering a signal by another signal.

I expect autocorrelation could be performed by taking the FFT of the signal, squaring the vectors of the resulting spectrum, then computing the inverse FFT. In effect, filtering a signal by itself.
 

FAQ: How is an autocorrelation function computed? (Dynamic Light Scattering)

What is an autocorrelation function in the context of Dynamic Light Scattering (DLS)?

An autocorrelation function in DLS is a mathematical tool used to analyze the intensity fluctuations of scattered light as a function of time. It provides information about the time-dependent behavior of the particles in suspension, which can be related to their size and diffusion properties.

How do you collect data for computing the autocorrelation function in DLS?

Data for computing the autocorrelation function in DLS is collected by measuring the intensity of scattered light over time using a photodetector. The sample is illuminated with a coherent light source, typically a laser, and the fluctuations in the scattered light intensity are recorded as the particles undergo Brownian motion.

What mathematical form does the autocorrelation function take in DLS analysis?

The autocorrelation function, G(τ), in DLS analysis is typically represented as a decaying exponential function: G(τ) = A + B * exp(-2Γτ), where τ is the delay time, A and B are constants, and Γ is the decay rate related to the diffusion coefficient of the particles.

How is the decay rate (Γ) related to particle size in DLS?

The decay rate (Γ) is related to the diffusion coefficient (D) of the particles by the equation Γ = Dq², where q is the scattering vector. The diffusion coefficient is inversely proportional to the particle size, which means that larger particles diffuse more slowly and have a smaller Γ value.

What software tools are commonly used to compute the autocorrelation function in DLS experiments?

There are several software tools commonly used to compute the autocorrelation function in DLS experiments, including proprietary software provided by DLS instrument manufacturers such as Malvern Zetasizer, Brookhaven Instruments, and Wyatt Technology. These software packages typically include algorithms for autocorrelation analysis, particle size distribution, and other relevant calculations.

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