Real-time detection of anomalies in large-scale transient surveys

HIGHLIGHTS

  • who: Muthukrishna Daniel and colleagues from the Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge , HA, United Kingdom have published the research work: Real-time detection of anomalies in large-scale transient surveys, in the Journal: (JOURNAL) of 22/02/2022
  • what: The authors demonstrate the methods ` ability to provide anomaly scores as a function of time on light curves from the Zwicky Transient Facility. The authors show that the flexibility of neural networks the attribute that makes them such a powerful tool for many regression tasks is what makes them less suitable for . . .

     

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