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Interview with Professor Yuan-Sen Ting

Interview with Professor Yuan-Sen Ting

by Isabella Trierweiler | May 1, 2024 | Interviews, Personal Experiences

Today we interview Dr. Yuan-Sen Ting, a Malaysian astronomer who uses machine learning to study galaxy evolution!

“Our plans are measured in centuries”: Using Gravitational Waves to predict how Supernovae Collapse

“Our plans are measured in centuries”: Using Gravitational Waves to predict how Supernovae Collapse

by Archana Aravindan | Apr 6, 2024 | Daily Paper Summaries, PRJ

Read ahead to find out if the authors of today’s paper are the Bene Gesserit of our Universe!

What drives chemistry in a protoplanetary disk?

What drives chemistry in a protoplanetary disk?

by Isabella Trierweiler | Dec 13, 2023 | Daily Paper Summaries

Tracking disk chemistry is complicated. Can machine learning make it easier?

A lonely little galaxy at the edge of our neighborhood

A lonely little galaxy at the edge of our neighborhood

by Sarah Bodansky | Nov 18, 2023 | Daily Paper Summaries

Today’s authors use machine learning to discover a lone wolf on the edge of the Milky Way’s neighborhood.

Machine learning, but in space

Machine learning, but in space

by Guest | Sep 22, 2023 | Course Assignments, Daily Paper Summaries

Can the Kuiper Belt’s mystery be uncovered with machine learning? This astrobrite article explores how researchers use advanced statistical techniques to calculate the dimension of our vast cosmic ring.

Moving Telescopes to Orbit Does Not Outrun Satellite Constellations

Moving Telescopes to Orbit Does Not Outrun Satellite Constellations

by Lindsay DeMarchi | Aug 10, 2023 | Daily Paper Summaries

A common response to these issues raised by astronomers is to move observational equipment to LEO as well. Today’s paper covers exactly such a case, in which the Hubble Space Telescope still suffers the effects of satellite streaks.

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