Supervised Deep Learning in High Energy Phenomenology: a Mini Review *

Murat Abdughani,Jie Ren,Lei Wu,Jin-Min Yang,Jun Zhao

Fig. 8 (Color online) The first 9 iterations of MLS for the one-dimensional toy model. The black solid curves represent the theoretical values of the physical observable function and the likelihood function. The red dotted curves represent the physical observable function obtained from the deep neural network learning and the likelihood function obtained from the indirect reconstruction. The blue dots represent the newly generated parameter samples for each iteration. Histogram statistics of the distribution of all parameter samples in the parameter space are also given.