|
| | bestFitnesses.optimization_name = sys.argv[1] |
| | PARSE INPUT ARGUMENT #####. More...
|
| |
| int | bestFitnesses.max_configurations = 3200 |
| |
| list | bestFitnesses.configurations = [] |
| | Find processed configurations and calculate fitnesses #####. More...
|
| |
| list | bestFitnesses.fitnesses = [] |
| |
| list | bestFitnesses.fitness_errors = [] |
| |
| list | bestFitnesses.proton_energies = [] |
| |
| list | bestFitnesses.zero_errors = [] |
| |
| int | bestFitnesses.n_var_plots = 1 |
| |
| | bestFitnesses.optimization = Optimizations.Optimization(optimization_name) |
| |
| string | bestFitnesses.fluxpath = optimization.output_location+"users/ljf26/fluxfiles/g4lbne/" |
| |
| | bestFitnesses.fluxdirs = glob.glob(fluxpath+"*") |
| |
| | bestFitnesses.configuration = dir.split("/")[9].split("-")[2] |
| |
| | bestFitnesses.fitness = tfitnesses[0] |
| |
| | bestFitnesses.fitness_error = fiterrors[0] |
| |
| list | bestFitnesses.ordered_indices = [i[0] for i in sorted(enumerate(fitnesses), key=lambda x:x[1],reverse=True)] |
| |
| | bestFitnesses.knobturns = optimization.getKnobturns() |
| |
| | bestFitnesses.config_number = configurations[ordered_indices[i]] |
| |
| int | bestFitnesses.knob_index = -1 |
| |
| | bestFitnesses.knob_names = optimization.parameter_names |
| |
| | bestFitnesses.all_fitnesses = optimization.getFitness(int(config_number)) |
| |
| | bestFitnesses.nom_flux_file_fhc = ROOT.TFile("/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_200kA_LBNEFD_fastmc.root") |
| |
| | bestFitnesses.nom_flux_file_rhc = ROOT.TFile("/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/-200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_-200kA_LBNEFD_fastmc.root") |
| |
| list | bestFitnesses.nom_flux = [] |
| |
| int | bestFitnesses.n_fluxes_to_plot = 4 |
| |
| list | bestFitnesses.var_flux_files_fhc = [] |
| |
| list | bestFitnesses.var_flux_files_rhc = [] |
| |
| list | bestFitnesses.var_fluxes = [] |
| |
| list | bestFitnesses.new_bins = [0,0.5,1,1.5,2,2.5,3,3.5,4,4.5,5,5.5,6,6.5,7,7.5,8] |
| |
| | bestFitnesses.fhcenergy = optimization.getEnergy(configuration,"FHC") |
| |
| | bestFitnesses.rhcenergy = optimization.getEnergy(configuration,"RHC") |
| |
| float | bestFitnesses.scale_factor_fhc = 7.5e13 |
| |
| float | bestFitnesses.scale_factor_rhc = 7.5e13 |
| |
| | bestFitnesses.canv = ROOT.TCanvas("MyCanvas","MyCanvas") |
| |
| list | bestFitnesses.maxes = [nom_flux[j].GetMaximum()] |
| |
| float | bestFitnesses.plot_max = max(maxes)*1.7 |
| |
| list | bestFitnesses.colors = [2,4,8,6] |
| |
| | bestFitnesses.frame = ROOT.TH2D("frame","frame",100,0,8,100,0,plot_max); |
| |
| | bestFitnesses.leg = ROOT.TLegend(0.6,0.6,0.8,0.8) |
| |
| list | bestFitnesses.labels = [] |
| |
| list | bestFitnesses.flavor_strings = ["numu_fhc","numubar_fhc","nue_fhc","nuebar_fhc","numu_rhc","numubar_rhc","nue_rhc","nuebar_rhc"] |
| |
1.8.11
