Diffractive Vector Meson Production Using Sartre with Machine Learning

We use Machine Learning with an event−generator (Sartre) for the process: \(e p \rightarrow e^{prime} p^{prime} V_{M}\) , \(e A \rightarrow e^{prime} A^{prime} V_{M}\) . Sartre uses 3−dimensional look−up tables to generate events in which the first two moments of the Amplitude are stored. In eA collisions the generation of these lookup tables take many months. I will present a method, using neural networks, which reduces the computing time by upto 90%. This will be important for doing simulations in the ongoing preparations for the electron-ion collider.