Unsupervised machine learning for transient discovery in deeper, wider, faster light curves
Unsupervised machine learning for transient discovery in deeper, wider, faster light curves
Identification of anomalous light curves within time-domain surveys is often challenging. In addition, with the growing number of wide-field surveys and the volume of data produced exceeding astronomers ability for manual evaluation, outlier and anomaly detection is becoming vital for transient science. We present an unsupervised method for transient discovery …