Applying the neural network based models in the top pair production at LHC
Anwar Zada (434)
Applying the neural network based models in the top pair production at LHC - Islamabad (unpublished) 2021 - xv, 64 p. : ill. ; 30 cm. +CD
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
Physics--Large hadron collider--Top-Quark physics--DeepTop tagging--Artificial intelligence--Neural networks--Deep learning--LHC--DBS--FEAS
539.72 / ANW
Applying the neural network based models in the top pair production at LHC - Islamabad (unpublished) 2021 - xv, 64 p. : ill. ; 30 cm. +CD
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
Physics--Large hadron collider--Top-Quark physics--DeepTop tagging--Artificial intelligence--Neural networks--Deep learning--LHC--DBS--FEAS
539.72 / ANW