If $\Sigma^{-1}=(A^{-1})^TA^{-1}$, then why does $|A^{-1}|=|\Sigma|^{-1/2}$?

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In the derivation of the joint pdf of $f_\textbf{X}(\pmb{x})$, where $\textbf{X}=\pmb\mu+A\pmb Z$ and $\textbf{X}\sim~N_n(\pmb\mu,\Sigma)$, there is a step I do not understand.

In particular, it is the fact that if $\Sigma^{-1}=(A^{-1})^TA^{-1}$, then $|A^{-1}|=|\Sigma|^{-1/2}$. This shows up during the derivation of the joint pdf as follows:

$$f_{\textbf{X}}(\textbf{x})=|A^{-1}|(2\pi)^{-n/2}exp\bigg(-\frac{1}{2} (\pmb x-\pmb \mu)^T(A^{-1})^TA^{-1}(\pmb x-\pmb \mu)\bigg) $$

Now since $\Sigma=AA^T$ is invertible we have $\Sigma^{-1}=(AA^T)^{-1}=(A^T)^{-1}A^{-1}=(A^{-1})^TA^{-1}$ and thus,

$$f_{\textbf{X}}(\textbf{x})=(2\pi)^{-n/2}|\Sigma|^{-1/2}exp\bigg(-\frac{1}{2} (\pmb x-\pmb \mu)^T\Sigma^{-1}(\pmb x-\pmb \mu)\bigg) $$

I can't understand how $|\Sigma|^{-1/2}=|A^{-1}|$?