Machine Learning Uncovers New Insights, Challenging Galaxy Formation Theories

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Machine Learning Uncovers New Insights, Challenging Galaxy Formation Theories
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Science, Space and Technology News 2024

Recent research has revealed that galaxies in denser environments tend to be significantly larger than isolated ones, challenging existing theories of galaxy formation.and extensive data from millions of galaxies. The findings raise new questions about the role of dark matter and galaxy mergers in shaping the cosmos.For decades, scientists have known that some galaxies reside in dense environments with lots of other galaxies nearby.

“Current theories of galaxy formation and evolution cannot adequately explain the finding that clustered galaxies are larger than their identical counterparts in less dense regions of the universe,” said lead author Aritra Ghosh, a UW postdoctoral researcher in astronomy and an LSST-DA Catalyst Fellow with the UW’s DiRAC Institute. “That’s one of the most interesting things about astrophysics.

“Theoretical astrophysicists will have to perform more comprehensive studies using simulations to conclusively establish why galaxies with more neighbors tend to be larger,” said Ghosh. “For now, the best we can say is that we’re confident that this relationship between galaxy environment and galaxy size exists.”Utilizing an incredibly large dataset like the Hyper Suprime-Cam Subaru Strategic Program helped the team reach a clear conclusion. But that’s only part of the story.

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