Test of the Gaussian likelihood assumption. Each panel shows the distribution of χ²s for a different data vector in the CV set, and for a synthetic data vector drawn from a Gaussian distribution with means and standard deviations estimated from the CV set. A Gaussian data vector will result in the χ² values being distributed according to a χ² distribution. All three distributions are close to the analytic χ² distribution, supporting the Gaussianity assumption.