computeNormScales.py File Reference

Go to the source code of this file.

Namespaces
	computeNormScales

Functions
def	computeNormScales.GetPercentile (histo, X)
def	computeNormScales.GetMedian (histo)
def	computeNormScales.GetMinimum (histo)

Variables
list	computeNormScales.hierarchies = ["nh","ih"]
list	computeNormScales.plotvars = ["cp_75thpercentile","mh_minimum"]
list	computeNormScales.tweaks = ["fhc_numu","fhc_numubar","fhc_nue","rhc_numu","rhc_numu","rhc_numubar","rhc_nuebar"]
list	computeNormScales.amounts_varied = [0,10,25,50,75,90,100]
list	computeNormScales.baseline_medians = []
	computeNormScales.mixing_param = plotvar[0:2]
	computeNormScales.baseline_file = ROOT.TFile("/lbne/data/users/lblpwg_tools/FastMC_Data/outputs/ljf26/Sensitivity_Plots/ProtonP120GeV_"+hierarchy+"_"+mixing_param+"_histos.root");
list	computeNormScales.medians = [[],[],[]]
list	computeNormScales.histos = [[],[],[]]
list	computeNormScales.amounts_varied_good_files = []
	computeNormScales.var = tweak+str(amount_varied)
string	computeNormScales.file_prefix = var+"_"
	computeNormScales.t_file = ROOT.TFile("/lbne/data/users/lblpwg_tools/FastMC_Data/outputs/ljf26/Sensitivity_Plots/"+file_prefix+"_histos.root");
list	computeNormScales.metrics = [[],[],[]]
string	computeNormScales.nomfhcfile = "/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_200kA_LBNEFD_fastmc.root"
string	computeNormScales.nomrhcfile = "/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/-200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_-200kA_LBNEFD_fastmc.root"
string	computeNormScales.varfhcfile = "/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_200kA_LBNEFD_fastmc.root"
string	computeNormScales.varrhcfile = "/lbne/data/users/ljf26/fluxfiles/g4lbne/v3r2p4/QGSP_BERT/Nominal/-200kA/flux/histos_g4lbne_v3r2p4_QGSP_BERT_Nominal_-200kA_LBNEFD_fastmc.root"
int	computeNormScales.power = 120
float	computeNormScales.antinufrac = 0.5
	computeNormScales.c1 = ROOT.TCanvas(file_prefix);
list	computeNormScales.t_graphs = []
int	computeNormScales.mgraph = 0
list	computeNormScales.line_styles = [1,2,3]
list	computeNormScales.line_colors = [1,2,4]
	computeNormScales.temp = ROOT.TGraph(len(amounts_varied_good_files),array.array('d',amounts_varied_good_files),array.array('d',medians[i]));
	computeNormScales.leg = ROOT.TLegend(0.35,0.2,0.65,0.5);
	computeNormScales.m_graph = ROOT.TGraph(len(amounts_varied_good_files),array.array('d',amounts_varied_good_files),array.array('d',metrics[i]));
	computeNormScales.ofile = ROOT.TFile(file_prefix+".root","RECREATE")