Go to the source code of this file.

Namespaces
	makePlots

Functions
def	makePlots.natural_sort (l)

Variables
	makePlots.optimization_name = sys.argv[1]
	PARSE INPUT ARGUMENT #####. More...

int	makePlots.max_configurations = 1000

bool	makePlots.doSubFitnesses = True
	Find processed configurations and calculate fitnesses #####. More...

list	makePlots.configurations = []

list	makePlots.fitnesses = []

list	makePlots.fhcnumufitnesses = []

list	makePlots.fhcnumubarfitnesses = []

list	makePlots.rhcnumufitnesses = []

list	makePlots.rhcnumubarfitnesses = []

list	makePlots.fhcnuenuebarfitnesses = []

list	makePlots.rhcnuenuebarfitnesses = []

list	makePlots.nhfitnesses = []

list	makePlots.ihfitnesses = []

list	makePlots.mhfitnesses = []

list	makePlots.fitness_errors = []

list	makePlots.fhcnumufitness_errors = []

list	makePlots.rhcnumufitness_errors = []

list	makePlots.fhcnumubarfitness_errors = []

list	makePlots.rhcnumubarfitness_errors = []

list	makePlots.fhcnuenuebarfitness_errors = []

list	makePlots.rhcnuenuebarfitness_errors = []

list	makePlots.nhfitness_errors = []

list	makePlots.ihfitness_errors = []

list	makePlots.mhfitness_errors = []

list	makePlots.proton_energies = []

list	makePlots.zero_errors = []

	makePlots.optimization = Optimizations.Optimization(optimization_name)

string	makePlots.fluxpath = optimization.output_location+"users/ljf26/fluxfiles/g4lbne/"

	makePlots.fluxdirs = glob.glob(fluxpath+"*")

	makePlots.configuration = dir.split("/")[9].split("-")[2]

list	makePlots.nominal_fitnesses = []
	Get nominal fitness errors ####. More...

int	makePlots.nominal_fitness_error = 0

list	makePlots.configurations2 = []

list	makePlots.parameter_values = []

list	makePlots.parameter_histos = []

	makePlots.n_parameters = len(optimization.parameter_names);

	makePlots.parameter_name = optimization.parameter_names[i]

	makePlots.knobturns = optimization.getKnobturns()

bool	makePlots.configuration_found = False

	makePlots.canv = ROOT.TCanvas("MyCanvas","MyCanvas")

list	makePlots.split_configurations = [[]]

list	makePlots.split_fitnesses = [[]]

list	makePlots.split_fhcnumufitnesses = [[]]

list	makePlots.split_rhcnumufitnesses = [[]]

list	makePlots.split_fhcnumubarfitnesses = [[]]

list	makePlots.split_rhcnumubarfitnesses = [[]]

list	makePlots.split_fhcnuenuebarfitnesses = [[]]

list	makePlots.split_rhcnuenuebarfitnesses = [[]]

list	makePlots.split_ihfitnesses = [[]]

list	makePlots.split_nhfitnesses = [[]]

list	makePlots.split_mhfitnesses = [[]]

list	makePlots.split_zero_errors = [[]]

list	makePlots.split_fitness_errors = [[]]

list	makePlots.split_fhcnumufitness_errors = [[]]

list	makePlots.split_rhcnumufitness_errors = [[]]

list	makePlots.split_fhcnumubarfitness_errors = [[]]

list	makePlots.split_rhcnumubarfitness_errors = [[]]

list	makePlots.split_fhcnuenuebarfitness_errors = [[]]

list	makePlots.split_rhcnuenuebarfitness_errors = [[]]

list	makePlots.split_ihfitness_errors = [[]]

list	makePlots.split_nhfitness_errors = [[]]

list	makePlots.split_mhfitness_errors = [[]]

list	makePlots.split_parameter_values = []

	makePlots.gen_end = optimization.generation_size

int	makePlots.gen_number = 0

list	makePlots.colors = [39,222,9]

list	makePlots.fitness_types = ["Nu_mu Flux"]

list	makePlots.fitness_vs_configurations = []

int	makePlots.x_max = max_configurations+100

	makePlots.a_line = ROOT.TLine(0,nominal_fitnesses[type_iter],x_max,nominal_fitnesses[type_iter])

list	makePlots.best_parameter_values = []

list	makePlots.best_parameter_errors = []

list	makePlots.parameter_vs_configurations = []

float	makePlots.y_low = optimization.parameter_lower_limits[i]-(optimization.parameter_upper_limits[i]-optimization.parameter_lower_limits[i])*0.05

	makePlots.frame = ROOT.TH2D("frame","frame",100,0,max_configurations+100,100,optimization.parameter_lower_limits[i],optimization.parameter_upper_limits[i]);

	makePlots.title = ROOT.gPad.GetPrimitive("title");

	makePlots.y_axis_title = optimization.parameter_names[i]

	makePlots.fitness_vs_parameter = ROOT.TGraphErrors(len(configurations),array('d',parameter_values[i]),array('d',fitnesses),array('d',zero_errors),array('d',fitness_errors))

	makePlots.x_axis_title = optimization.parameter_names[i]

Namespaces

Functions

Variables