Variables | |
| binning = ROOT.RooFit.AutoBinning(40) | |
| bkg = ROOT.RooChebychev("bkg", "combinatorial background", mjjj, [c0, c1, c2]) | |
| c = ROOT.TCanvas("rf803_mcstudy_addons2", "rf802_mcstudy_addons2", 800, 800) | |
| c0 = ROOT.RooRealVar("c0", "Chebychev coefficient 0", -0.846, -1.0, 1.0) | |
| c1 = ROOT.RooRealVar("c1", "Chebychev coefficient 1", 0.112, -1.0, 1.0) | |
| c2 = ROOT.RooRealVar("c2", "Chebychev coefficient 2", 0.076, -1.0, 1.0) | |
| dll_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,dll_nullhypo_nsig", binning, binning) | |
| errnsig_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,nsigerr", binning, binning) | |
| errnsig_vs_nsig = mcs.fitParDataSet().createHistogram("nsig,nsigerr", binning, binning) | |
| mcs | |
| mjjj = ROOT.RooRealVar("mjjj", "m(3jet) (GeV)", 100, 85.0, 350.0) | |
| model = ROOT.RooAddPdf("model", "model", [sig, bkg], [nsig, nbkg]) | |
| mtop = ROOT.RooRealVar("mtop", "m(top)", 162) | |
| nbkg = ROOT.RooRealVar("nbkg", "number of background events", 103, 0, 5e3) | |
| nsig = ROOT.RooRealVar("nsig", "number of signal events", 53, 0, 1e3) | |
| randModule = ROOT.RooRandomizeParamMCSModule() | |
| sig = ROOT.RooGaussian("sig", "top signal", mjjj, mtop, wtop) | |
| sigModule = ROOT.RooDLLSignificanceMCSModule(nsig, 0) | |
| wtop = ROOT.RooRealVar("wtop", "m(top) resolution", 15.2) | |
| z_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,significance_nullhypo_nsig", binning, binning) | |
| rf803_mcstudy_addons2.binning = ROOT.RooFit.AutoBinning(40) |
Definition at line 86 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.bkg = ROOT.RooChebychev("bkg", "combinatorial background", mjjj, [c0, c1, c2]) |
Definition at line 37 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.c = ROOT.TCanvas("rf803_mcstudy_addons2", "rf802_mcstudy_addons2", 800, 800) |
Definition at line 93 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.c0 = ROOT.RooRealVar("c0", "Chebychev coefficient 0", -0.846, -1.0, 1.0) |
Definition at line 34 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.c1 = ROOT.RooRealVar("c1", "Chebychev coefficient 1", 0.112, -1.0, 1.0) |
Definition at line 35 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.c2 = ROOT.RooRealVar("c2", "Chebychev coefficient 2", 0.076, -1.0, 1.0) |
Definition at line 36 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.dll_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,dll_nullhypo_nsig", binning, binning) |
Definition at line 87 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.errnsig_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,nsigerr", binning, binning) |
Definition at line 89 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.errnsig_vs_nsig = mcs.fitParDataSet().createHistogram("nsig,nsigerr", binning, binning) |
Definition at line 90 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.mcs |
Definition at line 49 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.mjjj = ROOT.RooRealVar("mjjj", "m(3jet) (GeV)", 100, 85.0, 350.0) |
Definition at line 26 of file rf803_mcstudy_addons2.py.
Definition at line 42 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.mtop = ROOT.RooRealVar("mtop", "m(top)", 162) |
Definition at line 29 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.nbkg = ROOT.RooRealVar("nbkg", "number of background events", 103, 0, 5e3) |
Definition at line 41 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.nsig = ROOT.RooRealVar("nsig", "number of signal events", 53, 0, 1e3) |
Definition at line 40 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.randModule = ROOT.RooRandomizeParamMCSModule() |
Definition at line 64 of file rf803_mcstudy_addons2.py.
Definition at line 31 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.sigModule = ROOT.RooDLLSignificanceMCSModule(nsig, 0) |
Definition at line 74 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.wtop = ROOT.RooRealVar("wtop", "m(top) resolution", 15.2) |
Definition at line 30 of file rf803_mcstudy_addons2.py.
| rf803_mcstudy_addons2.z_vs_ngen = mcs.fitParDataSet().createHistogram("ngen,significance_nullhypo_nsig", binning, binning) |
Definition at line 88 of file rf803_mcstudy_addons2.py.