============================================================================ === Overview of files, and how to run them with the public notebooks === ============================================================================ Assuming that expressive_gaussian_mixture_models is the top level directory after checking out the git area https://github.com/darrendavidprice/science-discovery/tree/master/expressive_gaussian_mixture_models Place the files in a directory named "Data" at the location: expressive_gaussian_mixture_models/Data The files are named as follows: .InferTest_proj_funcs.pickle >>> File of functions which project data onto latent space for toy example .InferTest_toy_data.pickle >>> Nine toy datasets used to evaluate CL contours and MLEs for the toy example .InferTest_train_data_model_inference_dense.pickle >>> Training data for the toy example, including additional datasets at c_x, c_y ~ 0 .InferTest_train_data_model_inference_sparse.pickle >>> Training data for the toy example, with only the nominal points in parameter space .proj_funcs_EWK_12obs.pickle >>> File of functions which project data onto latent space for 12 observable example .proj_funcs_EWK_4obs.pickle >>> File of functions which project data onto latent space for 4 observable example .proj_funcs_EWK_Dphi_j_j.pickle >>> File of functions which project data onto latent space for 1 observable example SM_EWK_1M_rivet_output.pickle >>> EW Zjj data simulated using MG5 at the SM cHWB_*_cWtil_*_full_*_rivet_output.dat >>> EW Zjj data simulated using MG5 at the labelled cHWB, cWtil hypothesis cWtil_*_full_*_rivet_output.pickle >>> EW Zjj data simulated using MG5 at the labelled cWtil hypothesis, assuming cHWB=0