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HET Brown Bag Seminars | Improving Numerical Integration and Event Generation with Normalizing Flows

Claudius Krause (Fermilab)
Wednesday, September 25, 2019
12:00-1:00 PM
3481 Randall Laboratory Map
With the upcoming HL-LHC, the budget for computing will be insufficient to generate a sufficient amount of Monte-Carlo events for both signal and background predictions. The driving force behind these costs is the inefficiency of the Monte-Carlo phase space generators and the unweighting efficiencies.
After a short review of traditional algorithms, I will introduce a new Machine Learning algorithm that uses Normalizing Flows for efficient numerical integration and random sampling. This approach is especially efficient in high-dimensional integration spaces. I will show some preliminary results obtained with the matrix element generator of Sherpa and discuss different choices of hyperparameters and their influence on the result.
Building: Randall Laboratory
Event Type: Lecture / Discussion
Tags: brown bag, Fall 2019, Physics
Source: Happening @ Michigan from Leinweber Center for Theoretical Physics, Department of Physics, HET Brown Bag Series, Leinweber Center for Theoretical Physics Seminars, Leinweber Center for Theoretical Physics Brown Bag Seminars