Yuwen Zhang

I will be involved in the search for Higgs-pair production, a very rare but very significant process that aims to sheld light in one of the fundamental processes involving the Higgs boson

Project title: Search for di-Higgs production through HH->bbbb decay 

Research Group: High Energy Physics

Supervisor(s): Prof Nikos Konstantinidis

Introduction: 

My interests lie in machine learning, theoretical and high-energy physics, statistical physics and tensor networks. 

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Project description:  

In terms of a physics process, I will be involved in the search for Higgs-pair production, a very rare but very significant process that aims to sheld light in one of the fundamental processes involving the Higgs boson, that may lead to groundbreaking discoveries and a breakthrough in our understanding of nature in the most fundamental level. In terms of technical work, I will explore novel Machine Learning techniques for pattern recognition for the reconstruction of charged particle trajectories in the ATLAS silicon tracking detectors. 

First year group project: KageNova

Placement:  HSBC via Alan Turing Institute

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