Astronomaly: Flexible framework for anomaly detection in astronomy

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Ada Coda
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Astronomaly: Flexible framework for anomaly detection in astronomy

Post by Ada Coda » Sun Nov 01, 2020 2:36 am

Astronomaly: Flexible framework for anomaly detection in astronomy

Abstract: Astronomaly actively detects anomalies in astronomical data. A python back-end runs anomaly detection based on machine learning; a JavaScript front-end provides data viewing and labeling. The package works on many common astronomy data types, including one-dimensional data and images, and offering extendable techniques for preprocessing, feature extraction, and machine learning.

Credit: Lochner, Michelle; Bassett, Bruce A.

Site: https://github.com/MichelleLochner/astronomaly
https://ui.adsabs.harvard.edu/abs/2020MNRAS.498.3077W

Bibcode: 2020ascl.soft10012L

Preferred citation method: https://ui.adsabs.harvard.edu/abs/2020arXiv201011202L

ID: ascl:2010.012
Last edited by Ada Coda on Sat Nov 14, 2020 8:21 pm, edited 1 time in total.
Reason: Updated code entry.

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