Applying the neural network based models in the top pair production at LHC - Anwar Zada (434) (Islamabad (unpublished), 2021)
Submitted in fulfillment of the requirements for the degree of Master of Philosophy in Physics to the Department of Basic Sciences.
Includes bibliographical references.
Thesis supervisor: Dr. Ijaz Ahmed
Thesis (M.Phil)--Riphah International University, 2021
English
Keywords: Physics -- Large hadron collider -- Top-Quark physics -- DeepTop tagging -- Artificial intelligence -- Neural networks -- Deep learning -- LHC -- DBS -- FEAS