Figure 1:
ML search results where the input data correspond to the expectation values of the model. The left column shows the expectation value (black dashed) and the recovered value (blue dot) of the varied parameter. Right column shows the relative difference of the ML search result wrt the the expectation value. Blue/orange points are for results with Gaussian priors \(\beta_{dust}\)=(1.6, 0.11) and \(\beta_{sync}\)=(-3.1, 0.3), or top hat priors \(\beta_{dust}\)=[0.8, 2.4] and \(\beta_{sync}\)=[-4.5, -1.5]) respectively.