How to “Weigh” Galaxy Clusters with Artificial Intelligence

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Astrophysicists Show How to “Weigh” Galaxy Clusters with Artificial Intelligence

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Scholars from the Institute for Advanced Study have used a machine learning algorithm known as “symbolic regression” to generate new equations that help solve a fundamental problem in astrophysics: inferring the mass of galaxy clusters.

Galaxy clusters are the most massive objects in the Universe: a single cluster contains anything from a hundred to many thousands of galaxies, alongside collections of plasma, hot X-ray emitting gas, and dark matter. These components are held together by the cluster’s own gravity. Understanding such galaxy clusters is crucial to pinning down the origin and continuing evolution of our universe.

Read More: Institute for Advanced Study