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Astronomy Colloquium - "Interpreting Cosmological Large Scale Structure With Machine Learning"

Event Type
Seminar/Symposium
Sponsor
Astronomy Department
Location
Astronomy 134
Date
Sep 12, 2019   3:45 pm  
Speaker
Michelle Ntampaka, Harvard-Smithsonian Center for Astrophysics
Contact
Rebecca Bare
E-Mail
rsbare@illinois.edu
Phone
217-333-3090
Views
51
Originating Calendar
Astronomy Colloquium Speaker Calendar

Machine learning permeates our daily lives — performing tasks from identifying the people in a photograph to suggesting the next big purchase — but how will it change the way astronomers do research? Recent machine learning (ML)-based astronomy research has offered enticing improvements in the ways we can interpret data. I will highlight several ways that ML and other data science techniques can be used to draw inferences from cosmological large scale structure, focusing on results that address tensions in the standard cosmological model. Looking ahead, I'll discuss ways that cosmology and ML research can move forward together, taking advantage of astronomy's upcoming unprecedented data volumes.

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