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Table 1.

Five iterative pre-whitening strategies employed in this work.

Strategy Hinting Stop criterion Final optimisation (a)
1 S/N S/N <  4.0 Non-linear
2 A pA (b) > 0.05 Non-linear
3 A pLRT (c) > 0.05 Non-linear
4 S/N pLRT (c) > 0.05 Non-linear
5 (d) A pLRT (c) > 0.05 Linear

Notes. Parameter hinting is performed by selecting either the highest-amplitude peak (A) in the residual LS periodogram (Lomb 1976; Scargle 1982) or the peak with the highest-amplitude S/N value using a 1 d−1 window (S/N). The selected peak is not closer than 2.5/T to earlier extracted frequencies, where T is the total time span of the data (Loumos & Deeming 1978). Linear interpolation between the over-sampled frequency grid points of the LS periodogram is employed to determine the S/N value associated with the optimised frequency.

(a)

Type of least-squares optimisation of the entire model at the end of each iterative pre-whitening step.

(b)

The p-value for a Z-test based on extracted amplitude.

(c)

The p-value for a LRT based on BIC values for the nested light curve regression models.

(d)

The frequency extracted during the iterative pre-whitening step is optimised by selecting the largest-amplitude signal in an over-sampled LS periodogram in a 1 d−1 region around the frequency hint.

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