Speaker
Mr
Nalamotse Joshua Choma
(Wits University)
Description
Unlike supervised learning which is known to assume a full knowledge of the underlying model, semi-supervised learning, weak supervision in particular allows with partial knowledge to extract new information from the data. The objective of this study is to set up the search for heavy resonances at the electroweak scale with topological requirements. These resonances could be produced with different production mechanisms. In this case we will be focusing on the searches for new resonances in the Zγ final state using weak supervised learning approach. This will then be compared to the performance of the full supervision approach.
Level for award;(Hons, MSc, PhD, N/A)?
PhD
Apply to be considered for a student ; award (Yes / No)?
Yes
Primary author
Mr
Nalamotse Joshua Choma
(Wits University)
Co-authors
Bruce Mellado
(University of the Witwatersrand)
Dr
Salah-Eddine Dahbi
(University of the Witwatersrand)
XIFENG RUAN
(University of the witwatersrand)
