Niharika Sravan, Ph.D.

Optimizing constraints on the equation of state of neutron stars.

Abstract

This research endeavors to train an artificial intelligence program to differentiate informative astronomical events from non-informative astronomical events and recommend follow-up with only the specific telescopes most likely to add to our understanding. This seeks to address a costly issue in which currently all telescopes are notified when an interesting astronomical event occurs (for example, a star collapse) and required to shift focus. This is inefficient as many events are non-informative and disrupting normal work is expensive. The Scientific Advisory Board believes that this research has the potential not only to reduce inefficiencies in telescopic attention but to better our understanding of cosmic phenomena.

 

Note: The Scientific Advisory Board recommended support for this proposal with funding available from The Pittsburgh Foundation’s Urania E. Stott fund. This proposal strongly aligned with the fund’s focus area of outer space exploration programs and the scientific exploration of the Black Hole Theory. 

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