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Physics ∩ ML Seminar
Simulation-based inference for astrophysical dark matter searches
Date: Wednesday, May 18th
Time: 11:00 am
Place: Online Seminar: Please sign up for our mailing list at for zoom link
Speaker: Siddharth Mishra-Sharma, MIT
Abstract: In this talk, I will motivate the use of simulation-based machine learning methods for new physics searches, in particular for understanding the nature of dark matter, using astrophysical observations. After showcasing several applications and discussing advantages as well as caveats against traditional techniques, I will spend the bulk of the talk describing a study of gamma-ray data from the center of the Milky Way where the goal is to characterize a potential signal of dark matter – the so-called Galactic Center Excess. While emphasizing the modeling and inference challenges associated with this task, I will discuss how leveraging machine learning methods offers a path towards resolving the long-standing puzzle of the origin of the signal.
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