Machine Learning in Dark Matter Direct Detection by Felix Wagner

Friday 10 Sept 2021, 11:00 → 12:00 Europe/Vienna

As similar to other fields, machine learning has emerged as a powerful tool in dark matter direct detection too. In this review, Felix will discuss some particular ideas in machine learning involving both neural networks and decision trees, and show how those help the direct detection of dark matter. Reference papers for this discussion session are the following:

https://arxiv.org/abs/1911.09210 (ConvNets)

https://arxiv.org/abs/1712.06041 (CovNets)

https://arxiv.org/abs/1706.04934 (BDTs)

https://arxiv.org/pdf/1603.05120.pdf (BDTs)

https://arxiv.org/pdf/2106.11995.pdf (ConvNets)

 

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Suman Chatterjee is inviting you to a scheduled Zoom meeting.

Topic:  HEPHY JC, Felix Wagner on Machine Learning in Dark Matter Direct Detection
Time: Sep 10, 2021 11:00 AM Vienna

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11:00 → 12:00 Machine Learning in Dark Matter Direct Detection

Speakers: Felix Wagner (HEPHY Vienna), Felix Wagner (Vienna University of Technology)

Felix_Wagner.mp4