SNAD: Machine learning assisted discovery in astronomy

par Dr Emille Ishida (LPC-UCA)

vendredi 5 mars 2021, 14:30 → 15:30 Europe/Paris

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Video recording

Slides

Reference: Discovery and Classification in Astronomy, by Steve Dick, CUP (2013)

The next generation of astronomical surveys will completely change the discovery process in astronomy. Faced with millions of possible new sources per night, serendipitous discoveries will not occur. At the same time, given the significant improvement in detection efficiency it is also reasonable to expect that unforeseen astrophysical sources will be detected. However, if we do not have tools to identify them we may lose the opportunity without realizing it. The SNAD team is an international collaboration born at LPC who has been working in the past 3 years to prepare for the arrival of such data and ensure the maximum exploitation of astronomical surveys. In this talk, I will describe how SNAD is using state of the art traditional and adaptive anomaly detection techniques to identify unusual objects in simulations, catalog data and the data stream from the Zwicky Transient Facility (ZTF). 

 

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