How to Simplify the Fourier Transform of a Gaussian Times a Rectangle Function?

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The discussion focuses on calculating the Fourier Transform (FT) of a Gaussian function multiplied by a rectangle function in the context of diffraction and Fraunhofer's approximation. The original poster struggles to find an analytical solution, relying on Fresnel integrals. However, it is suggested that a simpler approach exists by using the convolution of the individual FTs of the Gaussian and rectangle functions. Specifically, the FT of the rectangle function transforms into a sinc function, eliminating the need for Fresnel integrals. This method streamlines the calculation process significantly.
yawphys
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Hi all,

I'm working in an exercise of advanced optics related to diffraction, in Fraunhoffer's aproximation.

I need to calculate the FT of a gaussian multiplied by a rectangle function, i.e, FT(exp(-x^2)*rect(x/a)), and I can't obtain a result expressed using analytical common functions. I can only obtain one solution using Fresnel integrals.

I think there could be a simpler way of expressing this result. Anyone can help me?

Thanks.
 
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You can write the solution as

F(e^{-x^2}) \otimes F(rect(x))

where the \otimes is the convolution operation. No need for Fresnel integrals because you integrate the exponential over all space and the rect funtion becomes a sinc funtion upon transform.
 

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