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Fig. 5

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Waterfall diagrams, W`, where each sheet has M × N dimension. M corresponds to the number of divisions (number of rows), N is the number given by the trial period P (i.e., Pt of the iteration ) divided by a chosen time bin ∆t: N = round [P/∆t]. A data point has an amplitude given by the number of counts. L corresponds to the total number of trial periods P or number of iterations. For this particular case, L = 3, M = 5, and N = 9. The PCA is computed for every , which returns (ℓ, m) eigenvalues and eigenvectors.

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