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

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

Fig. 10 (Color online) The parameter space analysis of the eggbox toy model: the sample coverage rates and the sampling efficiencies of machine learning scan, MCMC scan, and MultiNest scan. The MultiNest scan used 500 live parameter points and other scans sampled $3\times 10^4$ parameter points. The corresponding algorithm parameters are marked in brackets. The blue points represent the parameter samples located in the survived parameter region (2 sigma), and the gray points represent the non-survived parameter samples. This figure is taken from Ref. [12].