Time-domain Astrophysics in the Era of Big Data

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• Ashley Villar, Pennsylvania State University
• Wednesday 23 February 2022, 14:00-15:00
• Physics West Lecture Theatre 117.

If you have a question about this talk, please contact Matteo Bianconi.

The eruptions, collisions and explosions of stars drive the universe’s chemical and dynamical evolution. The upcoming Large Synoptic Survey Telescope will drastically increase the discovery rate of these transient phenomena, bringing time-domain astrophysics into the realm of “big data.” With this transition comes the important question: how do we classify transient events and separate the interesting “needles” from the “haystack” of objects? In this talk, I will discuss efforts to discover and classify unexpected phenomena using semi-supervised machine learning techniques. I will highlight the interplay between data-informed physics and physics-informed machine learning required to best understand the future LSST dataset of extragalactic transients.

This talk is part of the Astrophysics Talks Series series.

This talk is included in these lists:

• Astrophysics Talks Series
• Bham Talks
• Physics West Lecture Theatre 117
• What's on in Physics?

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