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| string | __author__ = 'Juerg Beringer' |
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| string | __version__ = '$Id: fitman.py 721742 2016-02-03 23:34:44Z beringer $' |
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| string | __usage__ |
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| list | qargv = [ ] |
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| string | qcmd = ' '.join(qargv) |
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| | parser = OptionParser(usage=__usage__, version=__version__) |
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| | dest |
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| | default |
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| | None |
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| | help |
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| | type |
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| | action |
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| | False |
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| | options |
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| | args |
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| | cmdList = args |
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| | srcFile = ROOT.TFile(options.srcNtName) |
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| | srcNt = srcFile.Get(options.srcTreeName) |
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| | nEntries = srcNt.GetEntries() |
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| | dstFile = ROOT.TFile(options.ntName,'recreate') |
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| | dstNt = ROOT.TTree(options.ntTree,'Vertices') |
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| | bx = array('d',[0]); dstNt.Branch('x',bx,'x/D') |
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| | by = array('d',[0]); dstNt.Branch('y',by,'y/D') |
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| | bz = array('d',[0]); dstNt.Branch('z',bz,'z/D') |
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| | bvxx = array('d',[0]); dstNt.Branch('vxx',bvxx,'vxx/D') |
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| | bvyy = array('d',[0]); dstNt.Branch('vyy',bvyy,'vyy/D') |
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| | bvxy = array('d',[0]); dstNt.Branch('vxy',bvxy,'vxy/D') |
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| | bvxz = array('d',[0]); dstNt.Branch('vxz',bvxz,'vxz/D') |
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| | bvyz = array('d',[0]); dstNt.Branch('vyz',bvyz,'vyz/D') |
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| | bvzz = array('d',[0]); dstNt.Branch('vzz',bvzz,'vzz/D') |
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| int | nSelected = 0 |
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| int | nWritten = 0 |
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| | maxVtxErr2 = options.maxvtxerr*options.maxvtxerr |
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| | minVtxErr2 = options.minvtxerr*options.minvtxerr |
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| | x = RooRealVar("x","x [mm]",-3,3) |
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| | y = RooRealVar("y","y [mm]",-3,3) |
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| | z = RooRealVar("z","z [mm]",-300,300) |
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| | vxx = RooRealVar("vxx","vxx",-3,3) |
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| | vyy = RooRealVar("vyy","vyy",-3,3) |
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| | vxy = RooRealVar("vxy","vxy",-3,3) |
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| | vxz = RooRealVar("vxz","vxz",-3,3) |
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| | vyz = RooRealVar("vyz","vyz",-3,3) |
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| | vzz = RooRealVar("vzz","vzz",-3,3) |
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| | vtxDataFile = ROOT.TFile(options.ntName) |
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| | vtxData = vtxDataFile.Get(options.ntTree) |
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| def | hx = tmpHist('x',-3.,3.) |
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| def | hy = tmpHist('y',-3.,3.) |
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| def | hz = tmpHist('z',-300.,300.) |
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| | data = RooDataSet("data","data", vtxData, RooArgSet(x,y,z,vxx,vyy,vxy,vzz)) |
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| | mx = RooRealVar("mx","Mean x", hx.GetMean(), -2, 2) |
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| | sx = RooRealVar("sx","Sigma x", hx.GetRMS(), 0, 1) |
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| | ax = RooRealVar("ax","Tilt x", 0, -1e-3, 1e-3) |
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| | my = RooRealVar("my","Mean y", hy.GetMean(), -2, 2) |
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| | sy = RooRealVar("sy","Sigma y", hy.GetRMS(), 0, 1) |
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| | ay = RooRealVar("ay","Tilt y", 0, -1e-3, 1e-3) |
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| | mz = RooRealVar("mz","Mean z", hz.GetMean(), -300, 300) |
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| | sz = RooRealVar("sz","Sigma z", hz.GetRMS(), 0, 100) |
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| | k = RooRealVar("k","Error scale factor", 1, 0.0, 3) |
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| | rho = RooRealVar("rho","Correlation coefficient", 0, -1, 1) |
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| | f = RooRealVar("f", "Fraction of 1st Gauss", 0.9, 0., 1) |
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| | mx2 = RooRealVar("mx2","Mean x", -0.05, -2, 2) |
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| | sx2 = RooRealVar("sx2","Sigma x", 0.10, 0, 1) |
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| | ax2 = RooRealVar("ax2","Tilt x", 0, -1e-3, 1e-3) |
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| | my2 = RooRealVar("my2","Mean y", 1, -2, 2) |
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| | sy2 = RooRealVar("sy2","Sigma y", 0.10, 0, 1) |
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| | ay2 = RooRealVar("ay2","Tilt y", 0, -1e-3, 1e-3) |
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| | mz2 = RooRealVar("mz2","Mean z", -3, -300, 300) |
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| | sz2 = RooRealVar("sz2","Sigma z", 60, 0, 100) |
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| | rho2 = RooRealVar("rho2","Correlation coefficient", 0, -1, 1) |
| |
| | mux = RooFormulaVar("mux","@0+@1*(@2-@3)",RooArgList(mx,ax,z,mz)) |
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| | muy = RooFormulaVar("muy","@0+@1*(@2-@3)",RooArgList(my,ay,z,mz)) |
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| | cxx = RooFormulaVar("cxx","@0*@0+@1*@1*@2",RooArgList(sx,k,vxx)) |
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| | cxy = RooFormulaVar("cxy","@0*@1*@2+@3*@3*@4",RooArgList(rho,sx,sy,k,vxy)) |
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| | cyy = RooFormulaVar("cyy","@0*@0+@1*@1*@2",RooArgList(sy,k,vyy)) |
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| | czz = RooFormulaVar("czz","@0*@0",RooArgList(sz)) |
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| | czzv = RooFormulaVar("czz","@0*@0+@1",RooArgList(sz,vzz)) |
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| | mux2 = RooFormulaVar("mux2","@0+@1*(@2-@3)",RooArgList(mx2,ax,z,mz)) |
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| | muy2 = RooFormulaVar("muy2","@0+@1*(@2-@3)",RooArgList(my2,ay,z,mz)) |
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| | cxx2 = RooFormulaVar("cxx2","@0*@0+@1*@1*@2",RooArgList(sx2,k,vxx)) |
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| | cxy2 = RooFormulaVar("cxy2","@0*@1*@2+@3*@3*@4",RooArgList(rho,sx2,sy2,k,vxy)) |
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| | cyy2 = RooFormulaVar("cyy2","@0*@0+@1*@1*@2",RooArgList(sy2,k,vyy)) |
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| | czz2 = RooFormulaVar("czz","@0*@0",RooArgList(sz)) |
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| | dummyMatrix = ROOT.TMatrixDSym(3) |
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| bool | cmdOk = False |
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| | fitmodel |
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| | fitresult |
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| | g1 |
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| | g2 |
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| | plots = Plots(whatList = ['x','y','z']) |
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| | saveAsList |
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| | gPadSaveAsList |
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| | allCanvasDivs |
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| | allCanvasSize |
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1.8.18