How to Compute an Autocorrelation Integral for Gaussian Pulses?

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The discussion focuses on computing an autocorrelation integral for two Gaussian pulses separated by a fixed distance. The user seeks guidance on deriving the autocorrelation over space and setting its derivative to zero to extract meaningful information. They have experience in Fourier transforms, complex analysis, and calculus but are uncertain about the best approach, considering the complexity of Gaussian integrals. Suggestions include exploring parametrization and reducing the problem to simpler integrals, although the user acknowledges the potential difficulty and time consumption involved. The user ultimately expresses a preference for a more efficient method, hinting that Fourier transforms might be the most viable option despite their initial hesitations.
krobben92
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Hi guys,

Long story short, I need to compute an autocorrelation integral. Here's the problem:

There are two arbitrary gaussian pulses, one following the other by a fixed distance. By computing the autocorrelation over space(not time) and taking the derivative of the space-shift autocorrelation and setting it equal to zero, important information hopefully could be obtained.

The mathematics of this would be as followed:
\frac{\partial}{\partial\tau}\int_{-\infty}^{\infty}(Ae^{-a(x-c)^2}+Be^{-b(x-d)^2})(Ae^{-a(x-c-\tau)^2}+Be^{-b(x-d-\tau)^2})dx=0
\int_{-\infty}^{\infty}(Ae^{-a(x-c)^2}+Be^{-b(x-d)^2})(a(x-c-\tau)Ae^{-a(x-c-\tau)^2}+b(x-d-\tau)Be^{-b(x-d-\tau)^2})dx=0

I am NOT asking anyone to do this for me - I'll do it myself but I just need some ideas or directions on how to go about it.
I have experience in Fourier transforms, complex analysis and calculus of course. I've considered doing a complex contour integral but I'm not sure how reasonable that is after seeing how big of a pain the normal gaussian contour integral is. I've considered Fourier transforms a little - I didn't immediately see much help due to the Fourier transform of a gaussian just being another gaussian. I've thought about parametrization or even centering the integral about the center of the two gaussians but I don't know where to start I guess.

It's clearly a bound integral but is it just too impossibly hard to try?
 
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You can reduce the problem to several integrals of the types ##\int dx e^{-(x+d)^2 - (x-d)^2}##, ##\int dx x e^{-(x+d)^2 - (x-d)^2}## and maybe something I missed and look for solution methods for those integrals.
 
Yes, that's definitely one way to do it. However, this may take a couple dozen sheets of paper and a few hours considering the factoring. I guess after seeing so many tricks in math classes I just assumed there might be a quick way around this... But real world problems versus classroom problems aren't a fair comparison I suppose.
 
Well I tried it the old fashion way and it turned out better than I thought - but I don't think \tau can be solved for explicitly.

\frac{-A^{2}}{2\sqrt{2a}}e^{\frac{-a\tau^{2}}{2}}+\frac{-B^{2}}{2\sqrt{2b}}e^{\frac{-b\tau^{2}}{2}} = \frac{2ABe^{\frac{-ab(j(j-2k)+k^{2})}{a+b}}}{(a+b)\sqrt{a+b}}e^{\frac{-ab\tau^{2}}{a+b}}(\tau cosh(\frac{2ab\tau(j-k)}{a+b})-(j-k)sinh(\frac{2ab\tau(j-k)}{a+b}))

Any other ideas? I'm not an expert on Fourier transforms but I'm beginning to think that's the only way because it should be a multi-valued answer - just not sure how to approach it.
 
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