Speaker
Mr
Audrey Thabang Magabe
(University of the Witwatersrand)
Description
The Large Hadron Collider generates experimental data that consists of signal and background events. In order to further analyse the data, it is highly desirable to optimally discriminate between signal and background events. We conduct a comparative study between supervised and semi-supervised machine learning techniques in classifying between signal
and background events in H → γγ + χ decay channel.
Level for award<br> (Hons, MSc, <br> PhD, N/A)?
MSc
Apply to be<br> considered for a student <br> award (Yes / No)?
Yes
Primary author
Mr
Audrey Thabang Magabe
(University of the Witwatersrand)
Co-author
Prof.
Bruce Mellado
(University of the Witwatersrand)
