Consider the function
$$f_{n}(x)=e^{-x^2}x^n.$$
My goal is to show that
$$ G(y):=\frac{(f_2*f_0)(y)}{(f_0*f_0)(y)}- \left(\frac{(f_1*f_0)(y) }{(f_0*f_0)(y)}\right)^2$$
is log-concave.
Let us first observe that indeed $G(y) \ge 0.$
This just follows from a Cauchy-Schwarz
$$(f_1*f_0)(y) \le \sqrt{(f_2*f_0)(y)(f_0*f_0)(y)}$$
so everything is well-defined.
Usually one can say a lot when convolutions are involved about log-concavity due to standard theorems see wikipedia
but this combination looks a bit tricky.
Addendum I should add that I am in particular very interested in theoretical insights why this particular expression has to be log-concave.