Name: David Shih, Rutgers, [Joint BNL/SBU HET Seminar], Searching for the Unexpected from Colliders to Stars with Modern Machine Learning
Start: 2025-01-16T11:00:00-05:00
End: 2025-01-16T12:00:00-05:00
Location: https://bnl.zoomgov.com/j/1605506805?pwd=AA9rwL4hM5AwG2b0zEwDdXjzhvJjSz.1

Description

Modern machine learning and generative AI are impacting fundamental physics in exciting and far-reaching ways, allowing us to see deeper into big datasets and enabling new kinds of analyses that were not possible before. I will describe how we are using generative AI to develop powerful new model-agnostic methods for BSM searches which are now being realized in actual ATLAS and CMS analyses. I will then show how the same methods can also be ported to a completely different setting, to search for stellar streams in data from the Gaia Space Telescope.

David Shih, Rutgers, [Joint BNL/SBU HET Seminar], Searching for the Unexpected from Colliders to Stars with Modern Machine Learning

Small Seminar Room

https://bnl.zoomgov.com/j/1605506805?pwd=AA9rwL4hM5AwG2b0zEwDdXjzhvJjSz.1