In wide generality, the disintegration theorem says that Radon probability measures admit disintegrations. I'm trying to understand the case when we weaken this to infinite measures, specifically infinite Haar measures on locally-compact groups. In statistics, these are considered improper priors, which can frequently result in posteriors which are probability measures. However, this is not guaranteed, and is generally a thorny endeavor, so I am trying to tread carefully. See Chang & Pollard 1997 for examples.
Let $\eta$ be an infinite Haar measure on a locally-compact group $G$. Consider a measurable parameter set $\Theta$ which $G$ acts measurably on, and consider a random variable $\gamma : \Theta \to G$. For each $\theta$, define $k_\gamma^\theta(g) := \gamma(g^{-1} \theta)^{-1} g$, and the push-forward measures $\kappa_\gamma^\theta := \eta \circ (k_\gamma^\theta)^{-1}$ on $G$, which are infinite when $\eta$ is infinite.
If we consider a weighted version of $\eta$, i.e., $\alpha \eta$ for integrable $\alpha$, then a disintegration of $\alpha \eta$ through $k_\gamma^\theta$ exists by the disintegration theorem, since $\alpha \eta$ is Radon. However, I don't believe this holds for the infinite measure $\eta$.
Does a disintegration exist for the infinite measure $\eta$? If not, then what additional assumptions must we make for there to exist a disintegration of $\eta$ through $k_\gamma^\theta$?