WaldoInSky: Anomaly detection algorithms for time-domain astronomy
Abstract
WaldoInSky finds anomalous astronomical light curves and their analogs. The package contains four methods: an adaptation of the Unsupervised Random Forest for anomaly detection in light curves that operates on the light curve points and their power spectra; two manifold-learning methods (the t-SNE and UMAP) that operate on the DMDT maps (image representations of the light curves), and that can be used to find analog light curves in the low-dimensional representation; and an Isolation Forest method for evaluating approaches of light curve pre-processing, before they are passed to the anomaly detectors. WaldoInSky also contain code for random sparsification of light curves.
- Publication:
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Astrophysics Source Code Library
- Pub Date:
- August 2021
- Bibcode:
- 2021ascl.soft08004M
- Keywords:
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- Software