Kernel density estimations of bootstrap-estimated frequencies for a single synthetic light curve across varying sample sizes and S/N levels. Each subplot represents the bootstrap frequency distribution of the estimated best frequency juxtaposed with the true frequency of the synthetic light curve. As expected, with larger sample sizes and S/N, FINKER is more accurate, and its bootstrap density better resembles a Gaussian. Consequentially, the estimated frequency uncertainty is more reliable.