Results from the principal component analysis of the calibrated data products (without considering the integrations before the tilt event). (a) Eigenvalue of the first principal component, which clearly contains the eclipse. (b) First principal component, i.e., the one with the highest variance in the time series. (c) Eigenvalue of the second principal component. (d) Second principal component. This component represents changes in the spatial direction of the traces, resulting in the trade of flux between the upper and lower parts of the traces. (e) Eigenvalue of the third principal component. This beating pattern is caused by temperature variations in the instrument electronics compartment. We use this component to detrend our light curves. (f) Third principal component. This component results in changes in the FWHM of the traces, as shown by the trade of flux between the wings and center of the traces.