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Distribution of ratio between complex Gaussian and Chi-square R.V.s

What would be the distribution of the following ratio

$z = M \left( \frac{x_{1}}{|x_{1}|^2 + |x_{2}|^2 + ... + |x_{M}|^2} \right)$

where $x_{i} \sim \mathcal{CN}(0,a), \forall i$ and $a > 1$. As can be seen, the denominator follows a Chi-square distribution with $2M$ degrees of freedom as $x_{i}$ are i.i.d. R.V.s.

Remark 1: I've run some simulations in Matlab, as shown in the pictures below for $M$ = 10, and the resulting distribution has a bell-shaped histogram. Could it be that the resulting distribution follows one of these distributions: Gaussian/Cauchy/Student's-t?

Remark 2: This is a link to the Matlab/Octave script used to plot the pictures below. Matlab/Octave simulation of the histogram of z

UPDATE: As suggested by user "ofer zeitouni" I've updated $z$ so that it includes a term "M" once it is indeed also included in the Matlab script.

Histogram of Real(z)

enter image description here