Calculating velocity correlation function

In summary, the conversation is about a person trying to write a code to calculate velocity correlation function for their system. They tested the code with a sine wave data and found that while the correct frequency value was obtained, there were some issues with the peaks splitting and small peaks appearing in the spectrum. The person is looking for help in finding a flaw in their logic, specifically in the normalization part.
  • #1
svartak
5
0
Hi,

I have been trying to write a code to calculate velocity correlation function so that I can obtain a frequency spectrum for my system on taking a Fourier transform. For testing my code I generated a sine wave data and calculated vcf and took dft. I got correct frequency value but the peak splits into two (the value should be 1.6 but I get two peaks 1.58 and 1.62) and there are several small peaks in the spectrum.

I am pasting the vcf calculation part below. Could someone please help me find a flaw in my logic?

Thanks a lot!

vcf = 0
do m = 2, Nmax, dnsample !loop thorugh all time origins
vm=v(m)
denom=(Nmax-m)/dnsample
norm=1/denom
do n = 2, Nmax-m, dnsample !loop over velocity at time t points
vdot = vm * v(m+n)
vmag = v(m+n) * v(m+n)
vcf = vcf + (vdot/vmag)
end do
time = m*0.5*1d-13
vcf = vcf*norm
write(4,*) time, vcf
end do
 
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  • #2
</code>The logic seems to be correct but I suspect the normalization part is wrong. Can someone please help me? Thanks!
 

Related to Calculating velocity correlation function

1. What is the purpose of calculating velocity correlation function?

The velocity correlation function is a tool used in statistical mechanics and fluid dynamics to understand the motion of particles in a system. It helps to quantify the relationship between the velocities of particles at different points in time and space, providing insights into the dynamics of the system.

2. How is the velocity correlation function calculated?

The velocity correlation function is calculated by taking the dot product of the velocities of two particles at different times and dividing by the product of their magnitudes. This is then averaged over all pairs of particles in the system and can be further integrated over time to obtain a time-dependent correlation function.

3. What information can be obtained from the velocity correlation function?

The velocity correlation function can provide information about the overall motion and behavior of particles in a system, such as the diffusion coefficient, viscosity, and relaxation times. It can also reveal any correlations or patterns in the motion of particles, which can be useful in understanding the underlying dynamics of the system.

4. What factors can affect the accuracy of the velocity correlation function?

The accuracy of the velocity correlation function can be affected by various factors, such as the size and shape of the system, the density and interactions between particles, and the time and spatial resolution of the data. Additionally, the choice of correlation function and the method of calculation can also impact the accuracy of the results.

5. How is the velocity correlation function used in practical applications?

The velocity correlation function has various applications in fields such as fluid dynamics, materials science, and biophysics. It can be used to study the behavior of fluids and materials, predict transport properties, and analyze the motion of biological molecules. It is also commonly used in computer simulations to validate and improve models of particle motion in different systems.

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