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[ascl:2205.023] PyWPF: Waterfall Principal Component Analysis (PCA) Folding

PyWPF (Waterfall Principal Component Analysis Folding) finds periodicity in one-dimensional timestream data sets; it is particularly designed for very high noise situations where traditional methods may fail. Given a timestream, with each point being the arrival times of a source, the software computes the estimated period. The core function of the package requires several initial parameters to run, and using the best known period of the source (T_init) is recommended.

Code site:
https://github.com/tcassanelli/pywpf
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv220413118C
Bibcode:
2022ascl.soft05023C

Views: 473

ascl:2205.023
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