Dr Rebecca Nevin, Postdoctoral research fellow at the Harvard Center for Astrophysics

03/02/21 • 18 min

In this episode I speak with Dr Nevin on her work building a tool to recognise and classify galaxy mergers. She also talked about using machine learning and statistical tools in her work to assess how realistic fake galaxies can be to the ones observed. We also looked at some of the types of galaxies mergers present.

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Dr. Sandro Tacchella, Postdoctoral researcher at Harvard

In this episode I talk to Dr. Tacchella about how his research is looking for ways to explain the structure of galaxies, as well as why they come in many different forms such as spiral and elliptical galaxies. I also talk with Dr. Tacchella about the specific research he is doing, including some of the theories that exist that try to explain the physical properties of galaxies.

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Prof. Benedikt Diemer, Computational astrophysicist as the University of Maryland

In this episode we looked at how astrophysical simulations can never be completely realistic due to the sheer scale of the universe, and how computational astrophysicists have to work around that. Prof. Diemer also spoke about his project with a textile specialist, fabricoftheuniverse.org, which tries to visualise dark matter data in a unique ways, such as representing the data as 3D woven textiles.