Institute of Astronomy

Transient & Variable Star Observations: Some Challenges

SpeakerTalk DateTalk Series
Joshua Bloom28 July 2016Binary Stars Talks

Abstract

The ever-increasing depth, cadence, and spectral coverage of the sky brings the potential for new insights across the breadth of the time-domain universe. Nevertheless, as discovery and follow-up resources remain relatively scarce, a particular onus rests on improving our computational capabilities to meet the inferential challenges on a time-scale appropriate for the science at hand. Here, I describe some efforts at bringing machine learning to bear on time-domain observations, couched in the context of specific scientific initiatives such as the identification of EM counterparts of gravitational wave events, discovery and follow-up of supernovae, and variable star studies. These efforts and others will be discussed within the landscape of follow up resources (both online and upcoming).

 

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