Multi-dimensional Fourier transform of a Gaussian-like function

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I am trying to get the multi-dimensional Fourier transform of the following function.

$\sum_k a_ke^{-\frac{(\bar{w}_k\cdot \bar{x})^2}{\sigma^2}}$,

where $\bar{w}_i, \bar{x} \in \mathbb{R}^n$ and $\sigma$ is a constant. To this end, I think I need to evaluate the following integral and just get a weighted sum.

$\int_{\mathbb{R}^n} e^{-(2\pi i \bar{x} \cdot \epsilon + \frac{(\bar{w} \cdot \bar{x})^2}{\sigma^2} )}d\bar{x}$.

where $\epsilon \in \mathbb{R}^n$ is the Fourier index.

I am able to do this if $\bar{x}, \bar{w} \in \mathbb{R}$. But I am stuck with the n-dimensional case. Any help in solving this would be greatly appreciated.