Data driven background estimation in HEP using Generative Adversarial Networks

Victor Lohezic, Mehmet Ozgur Sahin, Fabrice Couderc +1

Data-driven methods are widely used to overcome shortcomings of Monte Carlo simulations (lack of statistics, mismodeling of processes, etc.) in experimental high energy physics. A…