Belle II Software  light-2212-foldex
test6_CPVResolutionVertexTagV.py
1 #!/usr/bin/env python
2 # -*- coding: utf-8 -*-
3 
4 
11 
12 """
13 <header>
14  <input>CPVToolsOutput.root</input>
15  <output>test6_CPVResolutionVertexTagV.root</output>
16  <contact>Yo Sato; yosato@post.kek.jp</contact>
17  <description>This validation script performs a fit of the values of DeltaT, DeltaTErr, Dz for B0_sig and Deltaz for B0_tag.
18  The DeltaT and DeltaZ distributions are fitted with 3 Gaussian functions.
19  DeltaTErr is fitted with a CBShape function and two Gaussians.
20  PXD requirement PXD0 means no hit is required.
21  PXD requirement PXD2 means both muon tracks from B->J/Psi Ks are required.</description>
22 </header>
23 """
24 
25 import ROOT
26 import math
27 import array
28 from operator import itemgetter
29 
30 
31 PATH = "."
32 
33 workingFiles = ["../CPVToolsOutput.root"]
34 
35 limDeltaT = 5
36 limDeltaTErr = 3.0
37 limZSig = 0.03
38 limZTag = 0.03
39 
40 treename = str("B0tree")
41 
42 # Output Validation file
43 outputFile = ROOT.TFile("test6_CPVResolutionVertexTagV.root", "RECREATE")
44 
45 # Values to be watched
46 outputNtuple = ROOT.TNtuple(
47  "Vertex_TagV_Resols",
48  "Weighted averages of the resolution params of Vertex and TagV Tools",
49  "mu_DT_PXD0:sigma_DT_PXD0:mu_DZsig_PXD0:sigma_DZsig_PXD0:mu_DZtag_PXD0:sigma_DZtag_PXD0:" +
50  "mu_DT_PXD2:sigma_DT_PXD2:mu_DZsig_PXD2:sigma_DZsig_PXD2:mu_DZtag_PXD2:sigma_DZtag_PXD2:PXD2_PXD0_Eff")
51 
52 outputNtuple.SetAlias('Description', "These are the weighted averages of the mean and the standard deviation " +
53  "of the residuals for DeltaT, DeltaZsig and DeltaZtag. The fit is performed with 3 Gaussian functions. " +
54  "The units are ps for DeltaT and microns for DeltaZ.")
55 outputNtuple.SetAlias(
56  'Check',
57  "These parameters should not change drastically. Since the nightly reconstruction validation runs " +
58  "on the same input file (which changes only from release to release), the values between builds should be the same.")
59 outputNtuple.SetAlias('Contact', "yosato@post.kek.jp")
60 
61 # No PXD hit required: PXD0. At least one PXD (SVD) hit for one of the muon tracks: PXD1 (SVD1).
62 # Hit required for both muon tracks: PXD2 (SVD2)"
63 VXDReqs = ["PXD0", "PXD2"]
64 
65 
66 fitResults = []
67 fitResultsForNtuple = []
68 numberOfEntries = []
69 
70 for VXDReq in VXDReqs:
71  iResult = []
72 
73  tdat = ROOT.TChain(treename)
74 
75  for iFile in workingFiles:
76  tdat.AddFile(iFile)
77 
78  evt_no = ROOT.RooRealVar("evt_no", "evt_no", 0., -10., 10000000.)
79 
80  B0_DeltaT = ROOT.RooRealVar("DeltaT", "DeltaT", 0.)
81  deltaTErr = ROOT.RooRealVar("DeltaTErr", "DeltaTErr", 0, limDeltaTErr, "ps")
82  B0_TruthDeltaT = ROOT.RooRealVar("mcDeltaT", "mcDeltaT", 0.)
83 
84  B0_qrMC = ROOT.RooRealVar("qrMC", "qrMC", 0., -100, 100)
85  B0_isSignal = ROOT.RooRealVar("isSignal", "isSignal", 0., 0., 512.)
86 
87  B0_TagVz = ROOT.RooRealVar("TagVz", "TagVz", 0., -100, 100, "cm")
88  B0_TruthTagVz = ROOT.RooRealVar("mcTagVz", "mcTagVz", 0., -100, 100, "cm")
89 
90  B0_Z = ROOT.RooRealVar("z", "z", 0., -100, 100, "cm")
91  B0_TruthZ = ROOT.RooRealVar("mcDecayVertexZ", "mcDecayVertexZ", 0., -100, 100, "cm")
92 
93  B0_Jpsi_mu0_nPXDHits = ROOT.RooRealVar("Jpsi_mu_0_nPXDHits", "Jpsi_mu_0_nPXDHits", 0., -10., 100.)
94  B0_Jpsi_mu1_nPXDHits = ROOT.RooRealVar("Jpsi_mu_1_nPXDHits", "Jpsi_mu_1_nPXDHits", 0., -10., 100.)
95  B0_Jpsi_mu0_nSVDHits = ROOT.RooRealVar("Jpsi_mu_0_nSVDHits", "Jpsi_mu_0_nSVDHits", 0., -10., 100.)
96  B0_Jpsi_mu1_nSVDHits = ROOT.RooRealVar("Jpsi_mu_1_nSVDHits", "Jpsi_mu_1_nSVDHits", 0., -10., 100.)
97 
98  # B0_Jpsi_mu0_firstSVDLayer = ROOT.RooRealVar("B0_Jpsi_mu0__firstSVDLayer", "B0_pi0_e1__firstSVDLayer", 1., -10., 100.)
99  # B0_Jpsi_mu1_firstSVDLayer = ROOT.RooRealVar("B0_Jpsi_mu1__firstSVDLayer", "B0_pi0_e0__firstSVDLayer", 1., -10., 100.)
100 
101  DT = ROOT.RooRealVar("DT", "DT", 0., -limDeltaT, limDeltaT, "ps")
102  DSigZ = ROOT.RooRealVar("DSigZ", "DSigZ", 0., -limZSig, limZSig, "cm")
103  # DSigZ = ROOT.RooFormulaVar("DSigZ", "DSigZ", "@@0-@@1", ROOT.RooArgList(B0_Z, B0_TruthZ))
104  DTagZ = ROOT.RooRealVar("DSigZ", "DSigZ", 0., -limZTag, limZTag, "cm")
105  # DTagZ = ROOT.RooFormulaVar("DTagZ", "DTagZ", "@@0-@@1", ROOT.RooArgList(B0_TagVz, B0_TruthTagVz))
106 
107  histo_DeltaT = ROOT.TH1F('B0_DeltaT_' + VXDReq, 'Residual of DeltaT',
108  100, -limDeltaT, limDeltaT)
109  histo_DeltaTErr = ROOT.TH1F('B0_DeltaTErr_' + VXDReq, 'Residual of DeltaZsig',
110  100, 0, 30)
111  histo_DeltaZSig = ROOT.TH1F('B0_DeltaZsig_' + VXDReq, 'Residual of DeltaZsig',
112  100, -limZSig, limZSig)
113  histo_DeltaZTag = ROOT.TH1F('B0_DeltaZtag_' + VXDReq, 'Residual of DeltaZsig',
114  100, -limZTag, limZTag)
115 
116  cut = "isSignal == 1 " # + "&& abs(B0_DeltaTErr)< " + str(limDeltaTErr) + " "
117 
118  if VXDReq == 'PXD1':
119  cut = cut + "&& (Jpsi_mu_0_nPXDHits> 0 || Jpsi_mu_1_nPXDHits> 0) "
120  if VXDReq == 'PXD2':
121  cut = cut + "&& Jpsi_mu_0_nPXDHits> 0 && Jpsi_mu_1_nPXDHits> 0 "
122 
123  if VXDReq == 'SVD1':
124  cut = cut + "&& (Jpsi_mu_0_SVDHits> 0 || Jpsi_mu_1_nSVDHits> 0) "
125  if VXDReq == 'SVD2':
126  cut = cut + "&& Jpsi_mu_0_nSVDHits> 0 && Jpsi_mu_1_nSVDHits> 0 "
127 
128  ROOT.gROOT.SetBatch(True)
129  c1 = ROOT.TCanvas("c1", "c1", 1400, 1100)
130 
131  tdat.Draw("DeltaT - mcDeltaT >> B0_DeltaT_" + VXDReq, cut)
132  tdat.Draw("DeltaTErr >> B0_DeltaTErr_" + VXDReq, cut)
133  tdat.Draw("z - mcDecayVertexZ >> B0_DeltaZsig_" + VXDReq, cut)
134  tdat.Draw("TagVz - mcTagVz >> B0_DeltaZtag_" + VXDReq, cut)
135 
136  # Validation Plot 1
137  histo_DeltaT.GetXaxis().SetLabelSize(0.04)
138  histo_DeltaT.GetYaxis().SetLabelSize(0.04)
139  histo_DeltaT.GetYaxis().SetTitleOffset(0.7)
140  histo_DeltaT.GetXaxis().SetTitleOffset(0.7)
141  histo_DeltaT.GetXaxis().SetTitleSize(0.06)
142  histo_DeltaT.GetYaxis().SetTitleSize(0.07)
143  histo_DeltaT.SetTitle('DeltaT Residual for PXD requirement ' + VXDReq + '; #Deltat - Gen. #Deltat / ps ; Events')
144 
145  histo_DeltaT.GetListOfFunctions().Add(
146  ROOT.TNamed('Description', 'DeltaT Residual for PXD requirement ' + VXDReq +
147  '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
148  histo_DeltaT.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
149  histo_DeltaT.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'yosato@post.kek.jp'))
150  histo_DeltaT.Write()
151 
152  # Validation Plot 2
153  histo_DeltaTErr.GetXaxis().SetLabelSize(0.04)
154  histo_DeltaTErr.GetYaxis().SetLabelSize(0.04)
155  histo_DeltaTErr.GetYaxis().SetTitleOffset(0.7)
156  histo_DeltaTErr.GetXaxis().SetTitleOffset(0.7)
157  histo_DeltaTErr.GetXaxis().SetTitleSize(0.06)
158  histo_DeltaTErr.GetYaxis().SetTitleSize(0.07)
159  histo_DeltaTErr.SetTitle('DeltaT error for PXD requirement ' + VXDReq + ' ; #sigma_{#Deltat} / ps ; Events')
160 
161  histo_DeltaTErr.GetListOfFunctions().Add(ROOT.TNamed('MetaOptions', 'logy'))
162  histo_DeltaTErr.GetListOfFunctions().Add(
163  ROOT.TNamed('Description', 'DeltaT error for PXD requirement ' + VXDReq +
164  '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
165  histo_DeltaTErr.GetListOfFunctions().Add(
166  ROOT.TNamed(
167  'Check',
168  'Std. Dev. and Mean should not change drastically. Peaks after 2.6 ps should not increase.'))
169  histo_DeltaTErr.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'yosato@post.kek.jp'))
170  histo_DeltaTErr.Write()
171 
172  # Validation Plot 3
173  histo_DeltaZSig.GetXaxis().SetLabelSize(0.04)
174  histo_DeltaZSig.GetYaxis().SetLabelSize(0.04)
175  histo_DeltaZSig.GetYaxis().SetTitleOffset(0.7)
176  histo_DeltaZSig.GetXaxis().SetTitleOffset(0.7)
177  histo_DeltaZSig.GetXaxis().SetTitleSize(0.06)
178  histo_DeltaZSig.GetYaxis().SetTitleSize(0.07)
179  histo_DeltaZSig.SetTitle('DeltaZ Residual on signal side for requirement ' + VXDReq + '; B0_Z - Gen. B0_Z / cm ; Events')
180 
181  histo_DeltaZSig.GetListOfFunctions().Add(
182  ROOT.TNamed('Description', 'DeltaZ Residual on signal side for PXD requirement ' + VXDReq +
183  '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
184  histo_DeltaZSig.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
185  histo_DeltaZSig.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'yosato@post.kek.jp'))
186  histo_DeltaZSig.Write()
187 
188  # Validation Plot 4
189  histo_DeltaZTag.GetXaxis().SetLabelSize(0.04)
190  histo_DeltaZTag.GetYaxis().SetLabelSize(0.04)
191  histo_DeltaZTag.GetYaxis().SetTitleOffset(0.7)
192  histo_DeltaZTag.GetXaxis().SetTitleOffset(0.7)
193  histo_DeltaZTag.GetXaxis().SetTitleSize(0.06)
194  histo_DeltaZTag.GetYaxis().SetTitleSize(0.07)
195  histo_DeltaZTag.SetTitle('DeltaZ Residual on tag side for requirement ' + VXDReq + '; B0_TagVz - Gen. B0_TagVz / cm; Events')
196 
197  histo_DeltaZTag.GetListOfFunctions().Add(
198  ROOT.TNamed('Description', 'DeltaZ Residual on tag side for PXD requirement ' + VXDReq +
199  '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
200  histo_DeltaZTag.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
201  histo_DeltaZTag.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'yosato@post.kek.jp'))
202  histo_DeltaZTag.Write()
203 
204  c1.Clear()
205 
206  argSet = ROOT.RooArgSet(
207  # B0_mcTagPDG,
208  B0_DeltaT,
209  B0_TruthDeltaT,
210  # B0_mcErrors,
211  # evt_no,
212  B0_TagVz,
213  B0_TruthTagVz,
214  B0_Z,
215  B0_TruthZ)
216 
217  argSet.add(B0_Jpsi_mu0_nPXDHits)
218  argSet.add(B0_Jpsi_mu1_nPXDHits)
219  argSet.add(B0_Jpsi_mu0_nSVDHits)
220  argSet.add(B0_Jpsi_mu1_nSVDHits)
221 
222  argSet.add(B0_isSignal)
223 
224  # argSet.add(B0_X)
225  # argSet.add(B0_TruthX)
226  # argSet.add(B0_Y)
227  # argSet.add(B0_TruthY)
228 
229  # argSet.add(B0_TagVx)
230  # argSet.add(B0_TruthTagVx)
231  # argSet.add(B0_TagVy)
232  # argSet.add(B0_TruthTagVy)
233 
234  # argSet.add(deltaTErr)
235  # argSet.add(B0_qrMC)
236 
237  data = ROOT.RooDataSet(
238  "data",
239  "data",
240  tdat,
241  argSet,
242  cut)
243 
244  if VXDReq == 'PXD1' or VXDReq == 'PXD2':
245  fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(
246  B0_isSignal, B0_Jpsi_mu0_nPXDHits, B0_Jpsi_mu1_nPXDHits, deltaTErr),
247  f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
248  elif VXDReq == 'SVD1' or VXDReq == 'SVD2':
249  fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(
250  B0_isSignal, B0_Jpsi_mu0_nSVDHits, B0_Jpsi_mu1_nSVDHits, deltaTErr),
251  f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
252  else:
253  fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(B0_isSignal, deltaTErr),
254  f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
255 
256  # fitData.append(data)
257 
258  fitDataDT = ROOT.RooDataSet("fitDataDT", "fitDataDT", ROOT.RooArgSet(DT))
259  fitDataSigZ = ROOT.RooDataSet("fitDataSigZ", "fitDataSigZ", ROOT.RooArgSet(DSigZ))
260  fitDataTagZ = ROOT.RooDataSet("fitDataTagZ", "fitDataTagZ", ROOT.RooArgSet(DTagZ))
261 
262  for i in range(data.numEntries()):
263 
264  row = data.get(i)
265 
266  tDT = row.getRealValue("DeltaT", 0, ROOT.kTRUE) - row.getRealValue("mcDeltaT", 0, ROOT.kTRUE)
267  if abs(tDT) < limDeltaT:
268  DT.setVal(tDT)
269  fitDataDT.add(ROOT.RooArgSet(DT))
270 
271  tDSigZ = row.getRealValue("z", 0, ROOT.kTRUE) - row.getRealValue("mcDecayVertexZ", 0, ROOT.kTRUE)
272 
273  if abs(tDSigZ) < limZSig:
274  DSigZ.setVal(tDSigZ)
275  fitDataSigZ.add(ROOT.RooArgSet(DSigZ))
276 
277  tDTagZ = row.getRealValue("TagVz", 0, ROOT.kTRUE) - row.getRealValue("mcTagVz", 0, ROOT.kTRUE)
278 
279  if abs(tDTagZ) < limZTag:
280  DTagZ.setVal(tDTagZ)
281  fitDataTagZ.add(ROOT.RooArgSet(DTagZ))
282 
283  fitDataDTErr.Print()
284  fitDataDT.Print()
285  fitDataSigZ.Print()
286  fitDataTagZ.Print()
287  numberOfEntries.append(data.numEntries())
288 
289  # Fit and plot of the DeltaT Error and DeltaTRECO - DeltaTMC
290 
291  Mu1 = ROOT.RooRealVar("Mu1", "Mu1", 0., -limDeltaT, limDeltaT)
292  Mu2 = ROOT.RooRealVar("Mu2", "Mu2", 0., -limDeltaT, limDeltaT)
293  Mu3 = ROOT.RooRealVar("Mu3", "Mu3", 0., -limDeltaT, limDeltaT)
294  Sigma1 = ROOT.RooRealVar("Sigma1", "Sigma1", 0.4, 0., limDeltaT)
295  Sigma2 = ROOT.RooRealVar("Sigma2", "Sigma2", 2.4, 0., limDeltaT)
296  Sigma3 = ROOT.RooRealVar("Sigma3", "Sigma3", 0.8, 0., limDeltaT)
297  frac1 = ROOT.RooRealVar("frac1", "frac1", 0.6, 0.0, 1.)
298  frac2 = ROOT.RooRealVar("frac2", "frac2", 0.1, 0.0, 1.)
299 
300  g1 = ROOT.RooGaussModel("g1", "g1", DT, Mu1, Sigma1)
301  g2 = ROOT.RooGaussModel("g2", "g2", DT, Mu2, Sigma2)
302  g3 = ROOT.RooGaussModel("g3", "g3", DT, Mu3, Sigma3)
303 
304  argset1 = ROOT.RooArgSet(g1)
305  argset2 = ROOT.RooArgSet(g2)
306  argset3 = ROOT.RooArgSet(g3)
307 
308  model = ROOT.RooAddModel("model", "model", ROOT.RooArgList(g1, g2, g3), ROOT.RooArgList(frac1, frac2))
309 
310  DT.setRange("fitRange", -limDeltaT, limDeltaT)
311 
312  fitRes = model.fitTo(fitDataDT, ROOT.RooFit.NumCPU(8), ROOT.RooFit.Save())
313 
314  fitRes.Print("v")
315 
316  deltaTErr.Print("v")
317 
318  resFrame = DT.frame()
319  fitDataDT.plotOn(resFrame)
320 
321  meanCBS = ROOT.RooRealVar("meanCBS", "meanCBS", 0.4, 0.3, 1, "ps")
322  sigmaCBS = ROOT.RooRealVar("sigmaCBS", "sigmaCBS", 0.03, 0.01, 0.1, "ps")
323  alphaCBS = ROOT.RooRealVar("alphaCBS", "alphaCBS", -0.4, -1, 0, "")
324  nCBS = ROOT.RooRealVar("nCBS", "nCBS", 3, 0.5, 5, "")
325  dtErrCBS = ROOT.RooCBShape("dtErrGen", "dtErrGen", deltaTErr, meanCBS, sigmaCBS, alphaCBS, nCBS)
326 
327  MuErr1 = ROOT.RooRealVar("MuErr1", "MuErr1", 0.3, 0.2, 0.6, "ps")
328  SigmaErr1 = ROOT.RooRealVar("SigmaErr1", "SigmaErr1", 0.03, 0.01, 0.07, "ps")
329  gErr1 = ROOT.RooGaussModel("gErr1", "gErr1", deltaTErr, MuErr1, SigmaErr1)
330  fracErr1 = ROOT.RooRealVar("fracErr1", "fracErr1", 0.45, 0.0, 0.7)
331 
332  MuErr2 = ROOT.RooRealVar("MuErr2", "MuErr2", 0.24, 0.2, 0.4, "ps")
333  SigmaErr2 = ROOT.RooRealVar("SigmaErr2", "SigmaErr2", 0.03, 0.01, 0.08, "ps")
334  gErr2 = ROOT.RooGaussModel("gErr2", "gErr2", deltaTErr, MuErr2, SigmaErr2)
335  fracErr2 = ROOT.RooRealVar("fracErr2", "fracErr2", 0.2, 0.0, 0.5)
336 
337  modelTErr = ROOT.RooAddModel(
338  "modelErr", "modelErr", ROOT.RooArgList(
339  dtErrCBS, gErr1, gErr2), ROOT.RooArgList(
340  fracErr1, fracErr2))
341 
342  if VXDReq == 'PXD0' or VXDReq == 'PXD1' or VXDReq == 'PXD2':
343  CBSFitRes = modelTErr.fitTo(fitDataDTErr, ROOT.RooFit.NumCPU(8), ROOT.RooFit.Save())
344  CBSFitRes.Print("v")
345 
346  dtErrCBS.Print()
347 
348  argset1TErr = ROOT.RooArgSet(dtErrCBS)
349  argset2TErr = ROOT.RooArgSet(gErr1)
350  argset3TErr = ROOT.RooArgSet(gErr2)
351 
352  resFrameDtErr = deltaTErr.frame()
353  fitDataDTErr.plotOn(resFrameDtErr)
354  modelTErr.plotOn(resFrameDtErr)
355  modelTErr.plotOn(
356  resFrameDtErr,
357  ROOT.RooFit.Components(argset1TErr),
358  ROOT.RooFit.LineColor(ROOT.kRed + 2),
359  ROOT.RooFit.LineWidth(4))
360  modelTErr.plotOn(
361  resFrameDtErr,
362  ROOT.RooFit.Components(argset2TErr),
363  ROOT.RooFit.LineColor(ROOT.kGreen + 3),
364  ROOT.RooFit.LineWidth(4))
365  modelTErr.plotOn(
366  resFrameDtErr,
367  ROOT.RooFit.Components(argset3TErr),
368  ROOT.RooFit.LineColor(ROOT.kMagenta + 2),
369  ROOT.RooFit.LineWidth(4))
370 
371  f1 = frac1.getVal()
372  f2 = frac2.getVal()
373  f3 = 1 - f1 - f2
374 
375  argsetList = []
376  argsetList.append([argset1, f1])
377  argsetList.append([argset2, f2])
378  argsetList.append([argset3, f3])
379 
380  argsetList = sorted(argsetList, key=itemgetter(1))
381 
382  model.plotOn(resFrame, ROOT.RooFit.LineWidth(3))
383  model.plotOn(resFrame, ROOT.RooFit.Components(argsetList[2][0]), ROOT.RooFit.LineColor(ROOT.kRed + 2), ROOT.RooFit.LineWidth(4))
384  model.plotOn(
385  resFrame, ROOT.RooFit.Components(
386  argsetList[1][0]), ROOT.RooFit.LineColor(
387  ROOT.kGreen + 3), ROOT.RooFit.LineWidth(4))
388  model.plotOn(
389  resFrame, ROOT.RooFit.Components(
390  argsetList[0][0]), ROOT.RooFit.LineColor(
391  ROOT.kMagenta + 2), ROOT.RooFit.LineWidth(4))
392 
393  resFrame.SetTitle("")
394  sXtitle = "#Deltat - Gen. #Delta t / ps"
395  resFrame.GetXaxis().SetTitle(sXtitle)
396  resFrame.GetXaxis().SetTitleSize(0.05)
397  resFrame.GetXaxis().SetLabelSize(0.045)
398  resFrame.GetYaxis().SetTitleSize(0.05)
399  resFrame.GetYaxis().SetTitleOffset(1.5)
400  resFrame.GetYaxis().SetLabelSize(0.045)
401 
402  shift = Mu1.getVal() * f1 + Mu2.getVal() * f2 + Mu3.getVal() * f3
403  resolution = Sigma1.getVal() * f1 + Sigma2.getVal() * f2 + Sigma3.getVal() * f3
404 
405  shiftErr = math.sqrt((Mu1.getError() * f1)**2 + (Mu2.getError() * f2)**2 + (Mu3.getError() * f3)**2)
406  resolutionErr = math.sqrt((Sigma1.getError() * f1)**2 + (Sigma2.getError() * f2)**2 + (Sigma3.getError() * f3)**2)
407 
408  if shiftErr < 0.01:
409  shiftErr = 0.01
410 
411  if resolutionErr < 0.01:
412  resolutionErr = 0.01
413 
414  Numbr = '{:d}'.format(int((f1 + f2) * fitDataDT.numEntries()))
415 
416  c1.cd()
417  Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
418  Pad.SetLeftMargin(0.15)
419  Pad.SetBottomMargin(0.15)
420  Pad.Draw()
421  Pad.cd()
422  resFrame.Draw()
423  legend = ROOT.TLegend(0.59, 0.6, 0.9, 0.9)
424  # legend.AddEntry(0, 'Entries' + '{:>11}'.format(Numbr))
425  legend.AddEntry(0, f'#splitline{{#mu_{{#Delta t}} = {shift:4.2f}}}{{ #pm {shiftErr:4.2f} ps}}')
426  legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta t}} = {resolution:4.2f}}}{{ #pm {resolutionErr:4.2f} ps}}')
427  legend.SetTextSize(0.054)
428  legend.SetFillColorAlpha(ROOT.kWhite, 0)
429  legend.Draw()
430  Pad.Update()
431  nPlot = PATH + "/test6_CPVResDeltaT" + VXDReq + ".pdf"
432  c1.SaveAs(nPlot)
433  c1.Clear()
434 
435  iResult.append([f'mu = {shift:4.2f} +- {shiftErr:4.2f} ps',
436  f'sigma = {resolution:4.2f} +- {resolutionErr:4.2f} ps'])
437  fitResultsForNtuple.append(shift)
438  fitResultsForNtuple.append(resolution)
439 
440  resFrameDtErr.SetTitle("")
441  sXtitleLandau = "#sigma_{#Deltat} / ps"
442  resFrameDtErr.GetXaxis().SetTitle(sXtitleLandau)
443  resFrameDtErr.GetXaxis().SetTitleSize(0.05)
444  resFrameDtErr.GetXaxis().SetLabelSize(0.045)
445  resFrameDtErr.GetYaxis().SetTitleSize(0.05)
446  resFrameDtErr.GetYaxis().SetTitleOffset(1.5)
447  resFrameDtErr.GetYaxis().SetLabelSize(0.045)
448 
449  c1.cd()
450  Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
451  Pad.SetLeftMargin(0.15)
452  Pad.SetBottomMargin(0.15)
453  Pad.Draw()
454  Pad.cd()
455  resFrameDtErr.Draw()
456  legend = ROOT.TLegend(0.59, 0.6, 0.9, 0.9)
457  # legend.AddEntry(0, 'Entries' + '{:>11}'.format(Numbr))
458  legend.AddEntry(0, f'#splitline{{#mu_{{#Delta t}} = {meanCBS.getVal():4.2f}}}{{ #pm '
459  f'{meanCBS.getError():4.2f} ps}}') # '{:>6}'.format(Shift)
460  legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta t}} = {sigmaCBS.getVal():4.2f}}}'
461  f'{{ #pm {sigmaCBS.getError():4.2f} ps}}') # '{:>4}'.format(Resol)
462  legend.SetTextSize(0.054)
463  legend.SetFillColorAlpha(ROOT.kWhite, 0)
464  # legend.Draw()
465  Pad.Update()
466  nPlot = PATH + "/test6_CPVResDeltaTError" + VXDReq + ".pdf"
467  c1.SaveAs(nPlot)
468  c1.Clear()
469 
470  fitRes.Clear()
471  model.Clear()
472 
473  # Fit of Delta Z for B0_sig
474 
475  Mu1SigZ = ROOT.RooRealVar("Mu1SigZ", "Mu1SigZ", -9e-06, -limZSig, limZSig)
476  Mu2SigZ = ROOT.RooRealVar("Mu2SigZ", "Mu2SigZ", -1.8e-05, -limZSig, limZSig)
477  Mu3SigZ = ROOT.RooRealVar("Mu3SigZ", "Mu3SigZ", 6e-05, -limZSig, limZSig)
478  Sigma1SigZ = ROOT.RooRealVar("Sigma1SigZ", "Sigma1SigZ", 3e-03, 1e-6, limZSig)
479  Sigma2SigZ = ROOT.RooRealVar("Sigma2SigZ", "Sigma2SigZ", 1.4e-03, 1e-6, limZSig)
480  Sigma3SigZ = ROOT.RooRealVar("Sigma3SigZ", "Sigma3SigZ", 0.01, 1e-6, limZSig)
481  frac1SigZ = ROOT.RooRealVar("frac1SigZ", "frac1SigZ", 0.2, 0.0, 0.5)
482  frac2SigZ = ROOT.RooRealVar("frac2SigZ", "frac2SigZ", 0.75, 0.5, 1.)
483 
484  g1SigZ = ROOT.RooGaussian("g1", "g1", DSigZ, Mu1SigZ, Sigma1SigZ)
485  g2SigZ = ROOT.RooGaussian("g2", "g2", DSigZ, Mu2SigZ, Sigma2SigZ)
486  g3SigZ = ROOT.RooGaussian("g3", "g3", DSigZ, Mu3SigZ, Sigma3SigZ)
487 
488  argset1SigZ = ROOT.RooArgSet(g1SigZ)
489  argset2SigZ = ROOT.RooArgSet(g2SigZ)
490  argset3SigZ = ROOT.RooArgSet(g3SigZ)
491 
492  modelSigZ = ROOT.RooAddPdf(
493  "modelSigZ", "modelSigZ", ROOT.RooArgList(g1SigZ, g2SigZ, g3SigZ),
494  ROOT.RooArgList(frac1SigZ, frac2SigZ))
495 
496  DSigZ.setRange("fitRange", -limZSig, limZSig)
497 
498  fitResSigZ = modelSigZ.fitTo(fitDataSigZ, ROOT.RooFit.NumCPU(1), ROOT.RooFit.Save())
499 
500  fitResSigZ.Print("v")
501 
502  resFrameSigZ = DSigZ.frame()
503 
504  f1SigZ = frac1SigZ.getVal()
505  f2SigZ = frac2SigZ.getVal()
506  f3SigZ = 1 - f1SigZ - f2SigZ
507 
508  argsetList = []
509  argsetList.append([argset1SigZ, f1SigZ])
510  argsetList.append([argset2SigZ, f2SigZ])
511  argsetList.append([argset3SigZ, f3SigZ])
512 
513  argsetList = sorted(argsetList, key=itemgetter(1))
514 
515  fitDataSigZ.plotOn(resFrameSigZ)
516  modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.LineWidth(4))
517  modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.Components(argsetList[2][0]), ROOT.RooFit.LineColor(ROOT.kRed + 2),
518  ROOT.RooFit.LineWidth(4))
519  modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.Components(argsetList[1][0]), ROOT.RooFit.LineColor(ROOT.kGreen + 3),
520  ROOT.RooFit.LineWidth(4))
521  modelSigZ.plotOn(
522  resFrameSigZ,
523  ROOT.RooFit.Components(argsetList[0][0]),
524  ROOT.RooFit.LineColor(
525  ROOT.kMagenta + 2),
526  ROOT.RooFit.LineWidth(4))
527  resFrameSigZ.SetTitle("")
528 
529  sXtitleSigZ = "B0_Z - Gen. B0_Z / cm"
530 
531  resFrameSigZ.GetXaxis().SetTitle(sXtitleSigZ)
532  resFrameSigZ.GetXaxis().SetLimits(-limZSig, limZSig)
533  resFrameSigZ.GetXaxis().SetTitleSize(0.05)
534  resFrameSigZ.GetXaxis().SetLabelSize(0.045)
535  resFrameSigZ.GetYaxis().SetTitleSize(0.05)
536  resFrameSigZ.GetYaxis().SetTitleOffset(1.5)
537  resFrameSigZ.GetYaxis().SetLabelSize(0.045)
538 
539  shiftSigZ = Mu1SigZ.getVal() * f1SigZ + Mu2SigZ.getVal() * f2SigZ + Mu3SigZ.getVal() * f3SigZ
540  resolutionSigZ = Sigma1SigZ.getVal() * f1SigZ + Sigma2SigZ.getVal() * f2SigZ + Sigma3SigZ.getVal() * f3SigZ
541 
542  shiftSigZ = shiftSigZ * 10000
543  resolutionSigZ = resolutionSigZ * 10000
544 
545  shiftErrSigZ = math.sqrt((Mu1SigZ.getError() * f1SigZ)**2 + (Mu2SigZ.getError() * f2SigZ) ** 2 +
546  (Mu3SigZ.getError() * f3SigZ)**2) * 10000
547  resolutionErrSigZ = math.sqrt((Sigma1SigZ.getError() * f1SigZ)**2 + (Sigma2SigZ.getError() * f2SigZ)**2 +
548  (Sigma3SigZ.getError() * f3SigZ)**2) * 10000
549 
550  c1.cd()
551  Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
552  Pad.SetLeftMargin(0.15)
553  Pad.SetBottomMargin(0.15)
554  Pad.Draw()
555  Pad.cd()
556  resFrameSigZ.Draw()
557  legend = ROOT.TLegend(0.63, 0.65, 0.9, 0.9)
558  # NumbrSigZ = '{:d}'.format(int((f1+f2)*fitDataSigZ.numEntries()))
559  # legend.AddEntry(0, 'Entries' + '{:>11}'.format(NumbrSigZ))
560 
561  legend.AddEntry(
562  0,
563  f'#splitline{{#mu_{{#Delta z}} = {shiftSigZ:1.1f}}}'
564  f'{{ #pm {shiftErrSigZ:1.1f} #mum}}')
565  legend.AddEntry(
566  0,
567  f'#splitline{{#sigma_{{#Delta z}} = {resolutionSigZ:1.1f}}}'
568  f'{{ #pm {resolutionErrSigZ:1.1f} #mum}}')
569 
570  legend.SetTextSize(0.05)
571  legend.SetFillColorAlpha(ROOT.kWhite, 0)
572  legend.Draw()
573  Pad.Update()
574  nPlot = PATH + "/test6_CPVResDeltaZsig" + VXDReq + ".pdf"
575  c1.SaveAs(nPlot)
576  c1.Clear()
577 
578  fitResSigZ.Clear()
579  modelSigZ.Clear()
580 
581  iResult.append([f'mu = {shiftSigZ:4.1f} +- {shiftErrSigZ:3.1f} mum',
582  f'sigma = {resolutionSigZ:4.1f} +- {resolutionErrSigZ:3.1f} mum'])
583  fitResultsForNtuple.append(shiftSigZ)
584  fitResultsForNtuple.append(resolutionSigZ)
585 
586  # Fit of Delta z for B0_Tag
587 
588  Mu1TagZ = ROOT.RooRealVar("Mu1TagZ", "Mu1TagZ", 0., -limZTag, limZTag)
589  Mu2TagZ = ROOT.RooRealVar("Mu2TagZ", "Mu2TagZ", 0., -limZTag, limZTag)
590  Mu3TagZ = ROOT.RooRealVar("Mu3TagZ", "Mu3TagZ", 0., -limZTag, limZTag)
591  Sigma1TagZ = ROOT.RooRealVar("Sigma1TagZ", "Sigma1TagZ", 2.51877e-02, 1e-6, limZTag)
592  Sigma2TagZ = ROOT.RooRealVar("Sigma2TagZ", "Sigma2TagZ", 1.54011e-02, 1e-6, limZTag)
593  Sigma3TagZ = ROOT.RooRealVar("Sigma3TagZ", "Sigma3TagZ", 1.61081e-02, 1e-6, limZTag)
594  frac1TagZ = ROOT.RooRealVar("frac1TagZ", "frac1TagZ", 1.20825e-01, 0.0, 1.)
595  frac2TagZ = ROOT.RooRealVar("frac2TagZ", "frac2TagZ", 1.10840e-01, 0.0, 1.)
596 
597  g1TagZ = ROOT.RooGaussian("g1", "g1", DTagZ, Mu1TagZ, Sigma1TagZ)
598  g2TagZ = ROOT.RooGaussian("g2", "g2", DTagZ, Mu2TagZ, Sigma2TagZ)
599  g3TagZ = ROOT.RooGaussian("g3", "g3", DTagZ, Mu3TagZ, Sigma3TagZ)
600 
601  argset1TagZ = ROOT.RooArgSet(g1TagZ)
602  argset2TagZ = ROOT.RooArgSet(g2TagZ)
603  argset3TagZ = ROOT.RooArgSet(g3TagZ)
604 
605  modelTagZ = ROOT.RooAddPdf("modelTagZ", "modelTagZ", ROOT.RooArgList(
606  g1TagZ, g2TagZ, g3TagZ), ROOT.RooArgList(frac1TagZ, frac2TagZ))
607 
608  DTagZ.setRange("fitRange", -limZTag, limZTag)
609 
610  fitResTagZ = modelTagZ.fitTo(fitDataTagZ, ROOT.RooFit.NumCPU(1), ROOT.RooFit.Save())
611  fitResTagZ.Print("v")
612 
613  resFrameTagZ = DTagZ.frame()
614 
615  f1TagZ = frac1TagZ.getVal()
616  f2TagZ = frac2TagZ.getVal()
617  f3TagZ = 1 - f1TagZ - f2TagZ
618 
619  argsetList = []
620  argsetList.append([argset1TagZ, f1TagZ])
621  argsetList.append([argset2TagZ, f2TagZ])
622  argsetList.append([argset3TagZ, f3TagZ])
623 
624  argsetList = sorted(argsetList, key=itemgetter(1))
625 
626  fitDataTagZ.plotOn(resFrameTagZ)
627  modelTagZ.plotOn(resFrameTagZ, ROOT.RooFit.LineWidth(4))
628  modelTagZ.plotOn(
629  resFrameTagZ, ROOT.RooFit.Components(
630  argsetList[2][0]), ROOT.RooFit.LineColor(
631  ROOT.kRed + 2), ROOT.RooFit.LineWidth(4))
632  modelTagZ.plotOn(
633  resFrameTagZ,
634  ROOT.RooFit.Components(argsetList[1][0]),
635  ROOT.RooFit.LineColor(ROOT.kGreen + 3),
636  ROOT.RooFit.LineWidth(4))
637  modelTagZ.plotOn(
638  resFrameTagZ,
639  ROOT.RooFit.Components(argsetList[0][0]),
640  ROOT.RooFit.LineColor(ROOT.kMagenta + 2),
641  ROOT.RooFit.LineWidth(4))
642  resFrameTagZ.SetTitle("")
643 
644  sXtitleTagZ = "B0_TagVz - Gen. B0_TagVz / cm"
645 
646  resFrameTagZ.GetXaxis().SetTitle(sXtitleTagZ)
647  resFrameTagZ.GetXaxis().SetTitleSize(0.05)
648  resFrameTagZ.GetXaxis().SetLabelSize(0.045)
649  resFrameTagZ.GetYaxis().SetTitleSize(0.05)
650  resFrameTagZ.GetYaxis().SetTitleOffset(1.5)
651  resFrameTagZ.GetYaxis().SetLabelSize(0.045)
652 
653  shiftTagZ = Mu1TagZ.getVal() * f1TagZ + Mu2TagZ.getVal() * f2TagZ + Mu3TagZ.getVal() * f3TagZ
654  resolutionTagZ = Sigma1TagZ.getVal() * f1TagZ + Sigma2TagZ.getVal() * f2TagZ + Sigma3TagZ.getVal() * f3TagZ
655 
656  shiftTagZ = shiftTagZ * 10000
657  resolutionTagZ = resolutionTagZ * 10000
658 
659  shiftErrTagZ = math.sqrt((Mu1TagZ.getError() * f1TagZ)**2 + (Mu2TagZ.getError() * f2TagZ) ** 2 +
660  (Mu3TagZ.getError() * f3TagZ)**2) * 10000
661  resolutionErrTagZ = math.sqrt((Sigma1TagZ.getError() * f1TagZ)**2 + (Sigma2TagZ.getError() * f2TagZ)**2 +
662  (Sigma3TagZ.getError() * f3TagZ)**2) * 10000
663 
664  c1.cd()
665  Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
666  Pad.SetLeftMargin(0.15)
667  Pad.SetBottomMargin(0.15)
668  Pad.Draw()
669  Pad.cd()
670  resFrameTagZ.Draw()
671  legend = ROOT.TLegend(0.64, 0.65, 0.9, 0.9)
672  # NumbrTagZ = '{:d}'.format(int((f1+f2)*fitDataTagZ.numEntries()))
673  # legend.AddEntry(0, 'Entries' + '{:>11}'.format(NumbrTagZ))
674 
675  legend.AddEntry(0, f'#splitline{{#mu_{{#Delta z}} = {shiftTagZ:1.1f}'
676  f'}}{{ #pm {shiftErrTagZ:1.1f} #mum}}')
677  legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta z}} = {resolutionTagZ:1.1f}'
678  f'}}{{ #pm {resolutionErrTagZ:1.1f} #mum}}')
679  legend.SetTextSize(0.05)
680  legend.SetFillColorAlpha(ROOT.kWhite, 0)
681  legend.Draw()
682  Pad.Update()
683  nPlot = PATH + f"/test6_CPVResDeltaZtag{VXDReq}.pdf"
684  c1.SaveAs(nPlot)
685  c1.Clear()
686 
687  iResult.append([f'mu = {shiftTagZ:4.1f} +- {shiftErrTagZ:3.1f} mum',
688  f'sigma = {resolutionTagZ:4.1f} +- {resolutionErrTagZ:3.1f} mum'])
689  fitResultsForNtuple.append(shiftTagZ)
690  fitResultsForNtuple.append(resolutionTagZ)
691 
692  fitResults.append(iResult)
693 
694 fitResultsForNtuple.append(float((numberOfEntries[1] / numberOfEntries[0]) * 100))
695 outputNtuple.Fill(array.array('f', fitResultsForNtuple))
696 outputNtuple.Write()
697 outputFile.Close()
698 
699 print('*********************** FIT RESULTS ***************************')
700 print('* *')
701 print('* WEIGHTED AVERAGES OF THE PARAMETERS *')
702 print('* OF THE FITTED 3 GAUSSIAN *')
703 print('* *')
704 print('**************** WITHOUT PXD HIT REQUIREMENT ******************')
705 print('* *')
706 print('* DeltaT - Gen. DeltaT *')
707 print('* *')
708 print('* ' + fitResults[0][0][0] + ' ' + fitResults[0][0][1] + ' *')
709 print('* *')
710 print('* SigZ - Gen. SigZ *')
711 print('* *')
712 print('* ' + fitResults[0][1][0] + ' ' + fitResults[0][1][1] + ' *')
713 print('* *')
714 print('* TagZ - Gen. TagZ *')
715 print('* *')
716 print('* ' + fitResults[0][2][0] + ' ' + fitResults[0][2][1] + ' *')
717 print('* *')
718 print('********REQUIRING BOTH MUON TRACKS TO HAVE A PXD HIT***********')
719 print('* *')
720 print('* Efficiency *')
721 print('* *')
722 print(f'* N_{VXDReqs[1]}/N_{VXDReqs[0]} = {numberOfEntries[1]}/{numberOfEntries[0]} = '
723  f'{(numberOfEntries[1] / numberOfEntries[0]) * 100:3.2f}% *')
724 print('* *')
725 print('* DeltaT - Gen. DeltaT *')
726 print('* *')
727 print('* ' + fitResults[1][0][0] + ' ' + fitResults[1][0][1] + ' *')
728 print('* *')
729 print('* SigZ - Gen. SigZ *')
730 print('* *')
731 print('* ' + fitResults[1][1][0] + ' ' + fitResults[1][1][1] + ' *')
732 print('* *')
733 print('* TagZ - Gen. TagZ *')
734 print('* *')
735 print('* ' + fitResults[1][2][0] + ' ' + fitResults[1][2][1] + ' *')
736 print('* *')
737 print('***************************************************************')