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[ascl:2301.021] WALDO: Waveform AnomaLy DetectOr

WALDO (Waveform AnomaLy DetectOr) flags possible anomalous Gravitational Waves from Numerical Relativity catalogs using deep learning. It uses a U-Net architecture to learn the waveform features of a dataset. After computing the mismatch between those waveforms and the neural predictions, WALDO isolates high mismatch evaluations for anomaly search.

Code site:
https://github.com/tiberioap/grav_waldo
Described in:
https://ui.adsabs.harvard.edu/abs/2022arXiv221007299P
Bibcode:
2023ascl.soft01021P
Preferred citation method:

https://doi.org/10.5281/zenodo.7127963


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ascl:2301.021
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