Figure 6. Top: the circles show the baseline-subtracted light curves (i.e., light curves with the fitted perturbation signal subtracted) using the different noise models indicated. We also show the corresponding best-fit transit models (dashed line) and the best-fit transit models plus an estimate of the correlated noise component (solid line, only for the two rightmost light curves). The shaded regions indicate points that where used as out-of-transit data by the 5-fold cross-validation procedure that selected the number of principal components to use in the fits. Bottom: residuals between the best-fit transit model and the baseline-subtracted light curves (circles). The solid lines in the two rightmost set of points indicate estimates of the correlated components obtained by projecting the residuals into the best-fit correlated component model (see Section 5). The difference between the points and the solid lines (dashed line for the white Gaussian noise case) is the white Gaussian noise component, whose dispersion σw is indicated for each of the noise models considered and also illustrated with ±1σw bands.
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