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Fig. 7

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Kernel regression’s fits (red lines) for harmonics and sub-harmonics of the true frequency. The light curve is folded at four different frequencies: half the true frequency (top left), the true frequency (top right), twice the true frequency (bottom left), and a random frequency (bottom right). Conveniently, for multiples of the true frequency, kernel regression will badly fit the observations resulting in high residuals.

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