WIMPs or else? Using Machine Learning for Dark Matter Detection

12:20-12:35, January 28 @ 2BC

Talk/ Overview

We explore the possibility of using Machine Learning techniques for Weakly Interacting Massive Particle (WIMP) Dark Matter at LHC and at Xenon1T experiment. We suggest using deep and Convolutional Neural Networks for the data processed in the form of images of Time Projection Chamber in the Xenon experiment and higher dimensional histograms of the kinematic variables for the collider DM searches. 

Talk/ Speakers

Charanjit Kaur

Postdoctoral Researcher, University of Sussex

AMLD / Global partners