HEP@VUB meeting: 12:00 - 13:00

Thursday 5 Nov 2020, 12:00 → 13:00 Europe/Brussels

Invited Speaker: Gregor Kasieczka (Hamburg University)

The seminar will be done remotely through the platform ZOOM.

ZOOM link:

Topic: HEP@VUB meeting
Time: Nov 5, 2020 12:00 PM Brussels

Join Zoom Meeting
https://zoom.us/j/99359940317?pwd=bGZ6U1o1SlhKUGZKR3hWTm9VK2VhUT09

Meeting ID: 993 5994 0317
Passcode: 5AqMtR

 

Event recorded and available at:

https://vub.cloud.panopto.eu/Panopto/Pages/Viewer.aspx?id=3d262799-3976-4866-a692-ac6e01633b06

1 Unsupervised Learning for Discovery and Simulation

Many experimental results from both particle and astrophysics hint that the Standard Model (SM) of particle physics cannot be a complete theory of Nature. However, in its first years of operation, the Large Hadron Collider at CERN was very successful in excluding large regions of parameter space for potential models beyond the SM. We present how deep learning can be used to search for deviations from the SM in a model independent way. Beyond searching for new physics, we explore how generative models can greatly speed up the generation of events and the simulation of their interactions with complex detectors.

DeepLearning_VUB_Lunch_Seminar.pdf

Q&A and discussion