Remote - Theory Seminar

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  • Remote - Theory Seminar
    https://bluejeans.com/801786278
    BlueJeans
    2020-11-23EST9:00:00 ~ 2020-11-23EST10:00:00
    14116
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Monday, November 23, 9:00 a.m.

Johann Brehmer - New York University

How machine learning can help us get the most out of high-precision particle physics models

Abstract: Particle physics processes are usually modeled with a chain of complex simulators. While these allow us to generate high-quality simulated data, they face a challenging inverse problem when we want to infer theory parameters from observed data. I will explain why the relevant likelihood function cannot be evaluated, why that is a problem, discuss how particle physicists have circumvented it in the past, and introduce the framing of simulation-based inference. I will then show how we can use machine learning together with matrix-element information to solve it efficiently. Finally I will discuss how the same techniques can be useful in many other scientific fields from neuroscience to strong gravitational lensing.


Event Date
-
Location
BlueJeans
Category
Scientific Program
Seminars
Phone
757-291-6263