Machine Learning for Jet Physics

Name: Machine Learning for Jet Physics
Start: 2017-12-11T01:15:00-08:00
End: 2017-12-13T18:00:00-08:00
Location: Lawrence Berkeley National Laboratory

11–13 Dec 2017

Lawrence Berkeley National Laboratory

US/Pacific timezone

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Recursive Neural Networks in quark/gluon tagging (15'+5')

11 Dec 2017, 12:50

20m

2-100 (Lawrence Berkeley National Laboratory)

2-100

Lawrence Berkeley National Laboratory

Jet tagging

Taoli Cheng (University of Chinese Academy of Sciences)

I am writing to propose a talk based on the recent paper https://arxiv.org/abs/1711.02633. The main topic is exploring the performance of Recursive Neural Networks in quark/gluon tagging.

Taoli Cheng (University of Chinese Academy of Sciences)

Slides

CHENG_RecNN.pdf

Machine Learning for Jet Physics

Recursive Neural Networks in quark/gluon tagging (15'+5')

2-100

Lawrence Berkeley National Laboratory

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