Likelihood periodogram searches for the first, second and third signals in the time-series when adjusting the full noise model (first order moving average term plus linear correlations) at the same time as the Keplerian signals. In the first panel, we show the likelihood periodogram of the original RV time-series with and without accounting for correlations. In that case we would incorrectly conclude that the rotation period is a planet candidate. The correlations also reduce the impact of unstructured noise (e.g. caused by high-frequency, sub-day jitter) which is made obvious by the much higher significance of the first planet candidate against the detection of the rotation period in the model without activity correlations.