Belle II Software light-2505-deimos
test6_CPVResolutionVertexTagV.py
1#!/usr/bin/env python
2
3
10
11"""
12<header>
13 <input>CPVToolsOutput.root</input>
14 <output>test6_CPVResolutionVertexTagV.root</output>
15 <contact>Frank Meier; frank.meier@duke.edu</contact>
16 <description>This validation script performs a fit of the values of DeltaT, DeltaTErr, Dz for B0_sig and Deltaz for B0_tag.
17 The DeltaT and DeltaZ distributions are fitted with 3 Gaussian functions.
18 DeltaTErr is fitted with a CBShape function and two Gaussians.
19 PXD requirement PXD0 means no hit is required.
20 PXD requirement PXD2 means both muon tracks from B->J/Psi Ks are required.</description>
21</header>
22"""
23
24import ROOT
25import math
26import array
27from operator import itemgetter
28
29
30PATH = "."
31
32workingFiles = ["../CPVToolsOutput.root"]
33
34limDeltaT = 5
35limDeltaTErr = 3.0
36limZSig = 0.03
37limZTag = 0.03
38
39treename = "B0tree"
40
41# Output Validation file
42outputFile = ROOT.TFile("test6_CPVResolutionVertexTagV.root", "RECREATE")
43
44# Values to be watched
45outputNtuple = ROOT.TNtuple(
46 "Vertex_TagV_Resols",
47 "Weighted averages of the resolution params of Vertex and TagV Tools",
48 "mu_DT_PXD0:sigma_DT_PXD0:mu_DZsig_PXD0:sigma_DZsig_PXD0:mu_DZtag_PXD0:sigma_DZtag_PXD0:" +
49 "mu_DT_PXD2:sigma_DT_PXD2:mu_DZsig_PXD2:sigma_DZsig_PXD2:mu_DZtag_PXD2:sigma_DZtag_PXD2:PXD2_PXD0_Eff")
50
51outputNtuple.SetAlias('Description', "These are the weighted averages of the mean and the standard deviation " +
52 "of the residuals for DeltaT, DeltaZsig and DeltaZtag. The fit is performed with 3 Gaussian functions. " +
53 "The units are ps for DeltaT and microns for DeltaZ.")
54outputNtuple.SetAlias(
55 'Check',
56 "These parameters should not change drastically. Since the nightly reconstruction validation runs " +
57 "on the same input file (which changes only from release to release), the values between builds should be the same.")
58outputNtuple.SetAlias('Contact', "frank.meier@duke.edu")
59
60# No PXD hit required: PXD0. At least one PXD (SVD) hit for one of the muon tracks: PXD1 (SVD1).
61# Hit required for both muon tracks: PXD2 (SVD2)"
62VXDReqs = ["PXD0", "PXD2"]
63
64
65fitResults = []
66fitResultsForNtuple = []
67numberOfEntries = []
68
69for VXDReq in VXDReqs:
70 iResult = []
71
72 tdat = ROOT.TChain(treename)
73
74 for iFile in workingFiles:
75 tdat.AddFile(iFile)
76
77 evt_no = ROOT.RooRealVar("evt_no", "evt_no", 0., -10., 10000000.)
78
79 B0_DeltaT = ROOT.RooRealVar("DeltaT", "DeltaT", 0.)
80 deltaTErr = ROOT.RooRealVar("DeltaTErr", "DeltaTErr", 0, limDeltaTErr, "ps")
81 B0_TruthDeltaT = ROOT.RooRealVar("mcDeltaT", "mcDeltaT", 0.)
82
83 B0_qrMC = ROOT.RooRealVar("qrMC", "qrMC", 0., -100, 100)
84 B0_isSignal = ROOT.RooRealVar("isSignal", "isSignal", 0., 0., 512.)
85
86 B0_TagVz = ROOT.RooRealVar("TagVz", "TagVz", 0., -100, 100, "cm")
87 B0_TruthTagVz = ROOT.RooRealVar("mcTagVz", "mcTagVz", 0., -100, 100, "cm")
88
89 B0_Z = ROOT.RooRealVar("z", "z", 0., -100, 100, "cm")
90 B0_TruthZ = ROOT.RooRealVar("mcDecayVertexZ", "mcDecayVertexZ", 0., -100, 100, "cm")
91
92 B0_Jpsi_mu0_nPXDHits = ROOT.RooRealVar("Jpsi_mu_0_nPXDHits", "Jpsi_mu_0_nPXDHits", 0., -10., 100.)
93 B0_Jpsi_mu1_nPXDHits = ROOT.RooRealVar("Jpsi_mu_1_nPXDHits", "Jpsi_mu_1_nPXDHits", 0., -10., 100.)
94 B0_Jpsi_mu0_nSVDHits = ROOT.RooRealVar("Jpsi_mu_0_nSVDHits", "Jpsi_mu_0_nSVDHits", 0., -10., 100.)
95 B0_Jpsi_mu1_nSVDHits = ROOT.RooRealVar("Jpsi_mu_1_nSVDHits", "Jpsi_mu_1_nSVDHits", 0., -10., 100.)
96
97 # B0_Jpsi_mu0_firstSVDLayer = ROOT.RooRealVar("B0_Jpsi_mu0__firstSVDLayer", "B0_pi0_e1__firstSVDLayer", 1., -10., 100.)
98 # B0_Jpsi_mu1_firstSVDLayer = ROOT.RooRealVar("B0_Jpsi_mu1__firstSVDLayer", "B0_pi0_e0__firstSVDLayer", 1., -10., 100.)
99
100 DT = ROOT.RooRealVar("DT", "DT", 0., -limDeltaT, limDeltaT, "ps")
101 DSigZ = ROOT.RooRealVar("DSigZ", "DSigZ", 0., -limZSig, limZSig, "cm")
102 # DSigZ = ROOT.RooFormulaVar("DSigZ", "DSigZ", "@@0-@@1", ROOT.RooArgList(B0_Z, B0_TruthZ))
103 DTagZ = ROOT.RooRealVar("DSigZ", "DSigZ", 0., -limZTag, limZTag, "cm")
104 # DTagZ = ROOT.RooFormulaVar("DTagZ", "DTagZ", "@@0-@@1", ROOT.RooArgList(B0_TagVz, B0_TruthTagVz))
105
106 histo_DeltaT = ROOT.TH1F('B0_DeltaT_' + VXDReq, 'Residual of DeltaT',
107 100, -limDeltaT, limDeltaT)
108 histo_DeltaTErr = ROOT.TH1F('B0_DeltaTErr_' + VXDReq, 'Residual of DeltaZsig',
109 100, 0, 30)
110 histo_DeltaZSig = ROOT.TH1F('B0_DeltaZsig_' + VXDReq, 'Residual of DeltaZsig',
111 100, -limZSig, limZSig)
112 histo_DeltaZTag = ROOT.TH1F('B0_DeltaZtag_' + VXDReq, 'Residual of DeltaZsig',
113 100, -limZTag, limZTag)
114
115 cut = "isSignal == 1 " # + "&& abs(B0_DeltaTErr)< " + str(limDeltaTErr) + " "
116
117 if VXDReq == 'PXD1':
118 cut = cut + "&& (Jpsi_mu_0_nPXDHits> 0 || Jpsi_mu_1_nPXDHits> 0) "
119 if VXDReq == 'PXD2':
120 cut = cut + "&& Jpsi_mu_0_nPXDHits> 0 && Jpsi_mu_1_nPXDHits> 0 "
121
122 if VXDReq == 'SVD1':
123 cut = cut + "&& (Jpsi_mu_0_SVDHits> 0 || Jpsi_mu_1_nSVDHits> 0) "
124 if VXDReq == 'SVD2':
125 cut = cut + "&& Jpsi_mu_0_nSVDHits> 0 && Jpsi_mu_1_nSVDHits> 0 "
126
127 ROOT.gROOT.SetBatch(True)
128 c1 = ROOT.TCanvas("c1", "c1", 1400, 1100)
129
130 tdat.Draw("DeltaT - mcDeltaT >> B0_DeltaT_" + VXDReq, cut)
131 tdat.Draw("DeltaTErr >> B0_DeltaTErr_" + VXDReq, cut)
132 tdat.Draw("z - mcDecayVertexZ >> B0_DeltaZsig_" + VXDReq, cut)
133 tdat.Draw("TagVz - mcTagVz >> B0_DeltaZtag_" + VXDReq, cut)
134
135 # Validation Plot 1
136 histo_DeltaT.GetXaxis().SetLabelSize(0.04)
137 histo_DeltaT.GetYaxis().SetLabelSize(0.04)
138 histo_DeltaT.GetYaxis().SetTitleOffset(0.7)
139 histo_DeltaT.GetXaxis().SetTitleOffset(0.7)
140 histo_DeltaT.GetXaxis().SetTitleSize(0.06)
141 histo_DeltaT.GetYaxis().SetTitleSize(0.07)
142 histo_DeltaT.SetTitle('DeltaT Residual for PXD requirement ' + VXDReq + '; #Deltat - Gen. #Deltat / ps ; Events')
143
144 histo_DeltaT.GetListOfFunctions().Add(
145 ROOT.TNamed('Description', 'DeltaT Residual for PXD requirement ' + VXDReq +
146 '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
147 histo_DeltaT.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
148 histo_DeltaT.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'frank.meier@duke.edu'))
149 histo_DeltaT.Write()
150
151 # Validation Plot 2
152 histo_DeltaTErr.GetXaxis().SetLabelSize(0.04)
153 histo_DeltaTErr.GetYaxis().SetLabelSize(0.04)
154 histo_DeltaTErr.GetYaxis().SetTitleOffset(0.7)
155 histo_DeltaTErr.GetXaxis().SetTitleOffset(0.7)
156 histo_DeltaTErr.GetXaxis().SetTitleSize(0.06)
157 histo_DeltaTErr.GetYaxis().SetTitleSize(0.07)
158 histo_DeltaTErr.SetTitle('DeltaT error for PXD requirement ' + VXDReq + ' ; #sigma_{#Deltat} / ps ; Events')
159
160 histo_DeltaTErr.GetListOfFunctions().Add(ROOT.TNamed('MetaOptions', 'logy'))
161 histo_DeltaTErr.GetListOfFunctions().Add(
162 ROOT.TNamed('Description', 'DeltaT error for PXD requirement ' + VXDReq +
163 '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
164 histo_DeltaTErr.GetListOfFunctions().Add(
165 ROOT.TNamed(
166 'Check',
167 'Std. Dev. and Mean should not change drastically. Peaks after 2.6 ps should not increase.'))
168 histo_DeltaTErr.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'frank.meier@duke.edu'))
169 histo_DeltaTErr.Write()
170
171 # Validation Plot 3
172 histo_DeltaZSig.GetXaxis().SetLabelSize(0.04)
173 histo_DeltaZSig.GetYaxis().SetLabelSize(0.04)
174 histo_DeltaZSig.GetYaxis().SetTitleOffset(0.7)
175 histo_DeltaZSig.GetXaxis().SetTitleOffset(0.7)
176 histo_DeltaZSig.GetXaxis().SetTitleSize(0.06)
177 histo_DeltaZSig.GetYaxis().SetTitleSize(0.07)
178 histo_DeltaZSig.SetTitle('DeltaZ Residual on signal side for requirement ' + VXDReq + '; B0_Z - Gen. B0_Z / cm ; Events')
179
180 histo_DeltaZSig.GetListOfFunctions().Add(
181 ROOT.TNamed('Description', 'DeltaZ Residual on signal side for PXD requirement ' + VXDReq +
182 '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
183 histo_DeltaZSig.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
184 histo_DeltaZSig.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'frank.meier@duke.edu'))
185 histo_DeltaZSig.Write()
186
187 # Validation Plot 4
188 histo_DeltaZTag.GetXaxis().SetLabelSize(0.04)
189 histo_DeltaZTag.GetYaxis().SetLabelSize(0.04)
190 histo_DeltaZTag.GetYaxis().SetTitleOffset(0.7)
191 histo_DeltaZTag.GetXaxis().SetTitleOffset(0.7)
192 histo_DeltaZTag.GetXaxis().SetTitleSize(0.06)
193 histo_DeltaZTag.GetYaxis().SetTitleSize(0.07)
194 histo_DeltaZTag.SetTitle('DeltaZ Residual on tag side for requirement ' + VXDReq + '; B0_TagVz - Gen. B0_TagVz / cm; Events')
195
196 histo_DeltaZTag.GetListOfFunctions().Add(
197 ROOT.TNamed('Description', 'DeltaZ Residual on tag side for PXD requirement ' + VXDReq +
198 '. PXD0 means no PXD hit required. PXD2 means both muon tracks are required to have a PXD hit.'))
199 histo_DeltaZTag.GetListOfFunctions().Add(ROOT.TNamed('Check', 'Std. Dev. and Mean should not change drastically.'))
200 histo_DeltaZTag.GetListOfFunctions().Add(ROOT.TNamed('Contact', 'frank.meier@duke.edu'))
201 histo_DeltaZTag.Write()
202
203 c1.Clear()
204
205 argSet = ROOT.RooArgSet(
206 # B0_mcTagPDG,
207 B0_DeltaT,
208 B0_TruthDeltaT,
209 # B0_mcErrors,
210 # evt_no,
211 B0_TagVz,
212 B0_TruthTagVz,
213 B0_Z,
214 B0_TruthZ)
215
216 argSet.add(B0_Jpsi_mu0_nPXDHits)
217 argSet.add(B0_Jpsi_mu1_nPXDHits)
218 argSet.add(B0_Jpsi_mu0_nSVDHits)
219 argSet.add(B0_Jpsi_mu1_nSVDHits)
220
221 argSet.add(B0_isSignal)
222
223 # argSet.add(B0_X)
224 # argSet.add(B0_TruthX)
225 # argSet.add(B0_Y)
226 # argSet.add(B0_TruthY)
227
228 # argSet.add(B0_TagVx)
229 # argSet.add(B0_TruthTagVx)
230 # argSet.add(B0_TagVy)
231 # argSet.add(B0_TruthTagVy)
232
233 # argSet.add(deltaTErr)
234 # argSet.add(B0_qrMC)
235
236 data = ROOT.RooDataSet(
237 "data",
238 "data",
239 tdat,
240 argSet,
241 cut)
242
243 if VXDReq == 'PXD1' or VXDReq == 'PXD2':
244 fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(
245 B0_isSignal, B0_Jpsi_mu0_nPXDHits, B0_Jpsi_mu1_nPXDHits, deltaTErr),
246 f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
247 elif VXDReq == 'SVD1' or VXDReq == 'SVD2':
248 fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(
249 B0_isSignal, B0_Jpsi_mu0_nSVDHits, B0_Jpsi_mu1_nSVDHits, deltaTErr),
250 f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
251 else:
252 fitDataDTErr = ROOT.RooDataSet("data", "data", tdat, ROOT.RooArgSet(B0_isSignal, deltaTErr),
253 f'{cut} && DeltaTErr >= {deltaTErr.getMin()} && DeltaTErr <= {deltaTErr.getMax()}')
254
255 # fitData.append(data)
256
257 fitDataDT = ROOT.RooDataSet("fitDataDT", "fitDataDT", ROOT.RooArgSet(DT))
258 fitDataSigZ = ROOT.RooDataSet("fitDataSigZ", "fitDataSigZ", ROOT.RooArgSet(DSigZ))
259 fitDataTagZ = ROOT.RooDataSet("fitDataTagZ", "fitDataTagZ", ROOT.RooArgSet(DTagZ))
260
261 for i in range(data.numEntries()):
262
263 row = data.get(i)
264
265 tDT = row.getRealValue("DeltaT", 0, ROOT.kTRUE) - row.getRealValue("mcDeltaT", 0, ROOT.kTRUE)
266 if abs(tDT) < limDeltaT:
267 DT.setVal(tDT)
268 fitDataDT.add(ROOT.RooArgSet(DT))
269
270 tDSigZ = row.getRealValue("z", 0, ROOT.kTRUE) - row.getRealValue("mcDecayVertexZ", 0, ROOT.kTRUE)
271
272 if abs(tDSigZ) < limZSig:
273 DSigZ.setVal(tDSigZ)
274 fitDataSigZ.add(ROOT.RooArgSet(DSigZ))
275
276 tDTagZ = row.getRealValue("TagVz", 0, ROOT.kTRUE) - row.getRealValue("mcTagVz", 0, ROOT.kTRUE)
277
278 if abs(tDTagZ) < limZTag:
279 DTagZ.setVal(tDTagZ)
280 fitDataTagZ.add(ROOT.RooArgSet(DTagZ))
281
282 fitDataDTErr.Print()
283 fitDataDT.Print()
284 fitDataSigZ.Print()
285 fitDataTagZ.Print()
286 numberOfEntries.append(data.numEntries())
287
288 # Fit and plot of the DeltaT Error and DeltaTRECO - DeltaTMC
289
290 Mu1 = ROOT.RooRealVar("Mu1", "Mu1", 0., -limDeltaT, limDeltaT)
291 Mu2 = ROOT.RooRealVar("Mu2", "Mu2", 0., -limDeltaT, limDeltaT)
292 Mu3 = ROOT.RooRealVar("Mu3", "Mu3", 0., -limDeltaT, limDeltaT)
293 Sigma1 = ROOT.RooRealVar("Sigma1", "Sigma1", 0.4, 0., limDeltaT)
294 Sigma2 = ROOT.RooRealVar("Sigma2", "Sigma2", 2.4, 0., limDeltaT)
295 Sigma3 = ROOT.RooRealVar("Sigma3", "Sigma3", 0.8, 0., limDeltaT)
296 frac1 = ROOT.RooRealVar("frac1", "frac1", 0.6, 0.0, 1.)
297 frac2 = ROOT.RooRealVar("frac2", "frac2", 0.1, 0.0, 1.)
298
299 g1 = ROOT.RooGaussModel("g1", "g1", DT, Mu1, Sigma1)
300 g2 = ROOT.RooGaussModel("g2", "g2", DT, Mu2, Sigma2)
301 g3 = ROOT.RooGaussModel("g3", "g3", DT, Mu3, Sigma3)
302
303 argset1 = ROOT.RooArgSet(g1)
304 argset2 = ROOT.RooArgSet(g2)
305 argset3 = ROOT.RooArgSet(g3)
306
307 model = ROOT.RooAddModel("model", "model", ROOT.RooArgList(g1, g2, g3), ROOT.RooArgList(frac1, frac2))
308
309 DT.setRange("fitRange", -limDeltaT, limDeltaT)
310
311 fitRes = model.fitTo(fitDataDT, ROOT.RooFit.NumCPU(8), ROOT.RooFit.Save())
312
313 fitRes.Print("v")
314
315 deltaTErr.Print("v")
316
317 resFrame = DT.frame()
318 fitDataDT.plotOn(resFrame)
319
320 meanCBS = ROOT.RooRealVar("meanCBS", "meanCBS", 0.4, 0.3, 1, "ps")
321 sigmaCBS = ROOT.RooRealVar("sigmaCBS", "sigmaCBS", 0.03, 0.01, 0.1, "ps")
322 alphaCBS = ROOT.RooRealVar("alphaCBS", "alphaCBS", -0.4, -1, 0, "")
323 nCBS = ROOT.RooRealVar("nCBS", "nCBS", 3, 0.5, 5, "")
324 dtErrCBS = ROOT.RooCBShape("dtErrGen", "dtErrGen", deltaTErr, meanCBS, sigmaCBS, alphaCBS, nCBS)
325
326 MuErr1 = ROOT.RooRealVar("MuErr1", "MuErr1", 0.3, 0.2, 0.6, "ps")
327 SigmaErr1 = ROOT.RooRealVar("SigmaErr1", "SigmaErr1", 0.03, 0.01, 0.07, "ps")
328 gErr1 = ROOT.RooGaussModel("gErr1", "gErr1", deltaTErr, MuErr1, SigmaErr1)
329 fracErr1 = ROOT.RooRealVar("fracErr1", "fracErr1", 0.45, 0.0, 0.7)
330
331 MuErr2 = ROOT.RooRealVar("MuErr2", "MuErr2", 0.24, 0.2, 0.4, "ps")
332 SigmaErr2 = ROOT.RooRealVar("SigmaErr2", "SigmaErr2", 0.03, 0.01, 0.08, "ps")
333 gErr2 = ROOT.RooGaussModel("gErr2", "gErr2", deltaTErr, MuErr2, SigmaErr2)
334 fracErr2 = ROOT.RooRealVar("fracErr2", "fracErr2", 0.2, 0.0, 0.5)
335
336 modelTErr = ROOT.RooAddModel(
337 "modelErr", "modelErr", ROOT.RooArgList(
338 dtErrCBS, gErr1, gErr2), ROOT.RooArgList(
339 fracErr1, fracErr2))
340
341 if VXDReq == 'PXD0' or VXDReq == 'PXD1' or VXDReq == 'PXD2':
342 CBSFitRes = modelTErr.fitTo(fitDataDTErr, ROOT.RooFit.NumCPU(8), ROOT.RooFit.Save())
343 CBSFitRes.Print("v")
344
345 dtErrCBS.Print()
346
347 argset1TErr = ROOT.RooArgSet(dtErrCBS)
348 argset2TErr = ROOT.RooArgSet(gErr1)
349 argset3TErr = ROOT.RooArgSet(gErr2)
350
351 resFrameDtErr = deltaTErr.frame()
352 fitDataDTErr.plotOn(resFrameDtErr)
353 modelTErr.plotOn(resFrameDtErr)
354 modelTErr.plotOn(
355 resFrameDtErr,
356 ROOT.RooFit.Components(argset1TErr),
357 ROOT.RooFit.LineColor(ROOT.kRed + 2),
358 ROOT.RooFit.LineWidth(4))
359 modelTErr.plotOn(
360 resFrameDtErr,
361 ROOT.RooFit.Components(argset2TErr),
362 ROOT.RooFit.LineColor(ROOT.kGreen + 3),
363 ROOT.RooFit.LineWidth(4))
364 modelTErr.plotOn(
365 resFrameDtErr,
366 ROOT.RooFit.Components(argset3TErr),
367 ROOT.RooFit.LineColor(ROOT.kMagenta + 2),
368 ROOT.RooFit.LineWidth(4))
369
370 f1 = frac1.getVal()
371 f2 = frac2.getVal()
372 f3 = 1 - f1 - f2
373
374 argsetList = []
375 argsetList.append([argset1, f1])
376 argsetList.append([argset2, f2])
377 argsetList.append([argset3, f3])
378
379 argsetList = sorted(argsetList, key=itemgetter(1))
380
381 model.plotOn(resFrame, ROOT.RooFit.LineWidth(3))
382 model.plotOn(resFrame, ROOT.RooFit.Components(argsetList[2][0]), ROOT.RooFit.LineColor(ROOT.kRed + 2), ROOT.RooFit.LineWidth(4))
383 model.plotOn(
384 resFrame, ROOT.RooFit.Components(
385 argsetList[1][0]), ROOT.RooFit.LineColor(
386 ROOT.kGreen + 3), ROOT.RooFit.LineWidth(4))
387 model.plotOn(
388 resFrame, ROOT.RooFit.Components(
389 argsetList[0][0]), ROOT.RooFit.LineColor(
390 ROOT.kMagenta + 2), ROOT.RooFit.LineWidth(4))
391
392 resFrame.SetTitle("")
393 sXtitle = "#Deltat - Gen. #Delta t / ps"
394 resFrame.GetXaxis().SetTitle(sXtitle)
395 resFrame.GetXaxis().SetTitleSize(0.05)
396 resFrame.GetXaxis().SetLabelSize(0.045)
397 resFrame.GetYaxis().SetTitleSize(0.05)
398 resFrame.GetYaxis().SetTitleOffset(1.5)
399 resFrame.GetYaxis().SetLabelSize(0.045)
400
401 shift = Mu1.getVal() * f1 + Mu2.getVal() * f2 + Mu3.getVal() * f3
402 resolution = Sigma1.getVal() * f1 + Sigma2.getVal() * f2 + Sigma3.getVal() * f3
403
404 shiftErr = math.sqrt((Mu1.getError() * f1)**2 + (Mu2.getError() * f2)**2 + (Mu3.getError() * f3)**2)
405 resolutionErr = math.sqrt((Sigma1.getError() * f1)**2 + (Sigma2.getError() * f2)**2 + (Sigma3.getError() * f3)**2)
406
407 if shiftErr < 0.01:
408 shiftErr = 0.01
409
410 if resolutionErr < 0.01:
411 resolutionErr = 0.01
412
413 Number = f'{int((f1 + f2) * fitDataDT.numEntries()):d}'
414
415 c1.cd()
416 Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
417 Pad.SetLeftMargin(0.15)
418 Pad.SetBottomMargin(0.15)
419 Pad.Draw()
420 Pad.cd()
421 resFrame.Draw()
422 legend = ROOT.TLegend(0.59, 0.6, 0.9, 0.9)
423 # legend.AddEntry(0, 'Entries' + '{:>11}'.format(Number))
424 legend.AddEntry(0, f'#splitline{{#mu_{{#Delta t}} = {shift:4.2f}}}{{ #pm {shiftErr:4.2f} ps}}')
425 legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta t}} = {resolution:4.2f}}}{{ #pm {resolutionErr:4.2f} ps}}')
426 legend.SetTextSize(0.054)
427 legend.SetFillColorAlpha(ROOT.kWhite, 0)
428 legend.Draw()
429 Pad.Update()
430 nPlot = PATH + "/test6_CPVResDeltaT" + VXDReq + ".pdf"
431 c1.SaveAs(nPlot)
432 c1.Clear()
433
434 iResult.append([f'mu = {shift:4.2f} +- {shiftErr:4.2f} ps',
435 f'sigma = {resolution:4.2f} +- {resolutionErr:4.2f} ps'])
436 fitResultsForNtuple.append(shift)
437 fitResultsForNtuple.append(resolution)
438
439 resFrameDtErr.SetTitle("")
440 sXtitleLandau = "#sigma_{#Deltat} / ps"
441 resFrameDtErr.GetXaxis().SetTitle(sXtitleLandau)
442 resFrameDtErr.GetXaxis().SetTitleSize(0.05)
443 resFrameDtErr.GetXaxis().SetLabelSize(0.045)
444 resFrameDtErr.GetYaxis().SetTitleSize(0.05)
445 resFrameDtErr.GetYaxis().SetTitleOffset(1.5)
446 resFrameDtErr.GetYaxis().SetLabelSize(0.045)
447
448 c1.cd()
449 Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
450 Pad.SetLeftMargin(0.15)
451 Pad.SetBottomMargin(0.15)
452 Pad.Draw()
453 Pad.cd()
454 resFrameDtErr.Draw()
455 legend = ROOT.TLegend(0.59, 0.6, 0.9, 0.9)
456 # legend.AddEntry(0, 'Entries' + '{:>11}'.format(Number))
457 legend.AddEntry(0, f'#splitline{{#mu_{{#Delta t}} = {meanCBS.getVal():4.2f}}}{{ #pm '
458 f'{meanCBS.getError():4.2f} ps}}') # '{:>6}'.format(Shift)
459 legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta t}} = {sigmaCBS.getVal():4.2f}}}'
460 f'{{ #pm {sigmaCBS.getError():4.2f} ps}}') # '{:>4}'.format(Resol)
461 legend.SetTextSize(0.054)
462 legend.SetFillColorAlpha(ROOT.kWhite, 0)
463 # legend.Draw()
464 Pad.Update()
465 nPlot = PATH + "/test6_CPVResDeltaTError" + VXDReq + ".pdf"
466 c1.SaveAs(nPlot)
467 c1.Clear()
468
469 fitRes.Clear()
470 model.Clear()
471
472 # Fit of Delta Z for B0_sig
473
474 Mu1SigZ = ROOT.RooRealVar("Mu1SigZ", "Mu1SigZ", -9e-06, -limZSig, limZSig)
475 Mu2SigZ = ROOT.RooRealVar("Mu2SigZ", "Mu2SigZ", -1.8e-05, -limZSig, limZSig)
476 Mu3SigZ = ROOT.RooRealVar("Mu3SigZ", "Mu3SigZ", 6e-05, -limZSig, limZSig)
477 Sigma1SigZ = ROOT.RooRealVar("Sigma1SigZ", "Sigma1SigZ", 3e-03, 1e-6, limZSig)
478 Sigma2SigZ = ROOT.RooRealVar("Sigma2SigZ", "Sigma2SigZ", 1.4e-03, 1e-6, limZSig)
479 Sigma3SigZ = ROOT.RooRealVar("Sigma3SigZ", "Sigma3SigZ", 0.01, 1e-6, limZSig)
480 frac1SigZ = ROOT.RooRealVar("frac1SigZ", "frac1SigZ", 0.2, 0.0, 0.5)
481 frac2SigZ = ROOT.RooRealVar("frac2SigZ", "frac2SigZ", 0.75, 0.5, 1.)
482
483 g1SigZ = ROOT.RooGaussian("g1", "g1", DSigZ, Mu1SigZ, Sigma1SigZ)
484 g2SigZ = ROOT.RooGaussian("g2", "g2", DSigZ, Mu2SigZ, Sigma2SigZ)
485 g3SigZ = ROOT.RooGaussian("g3", "g3", DSigZ, Mu3SigZ, Sigma3SigZ)
486
487 argset1SigZ = ROOT.RooArgSet(g1SigZ)
488 argset2SigZ = ROOT.RooArgSet(g2SigZ)
489 argset3SigZ = ROOT.RooArgSet(g3SigZ)
490
491 modelSigZ = ROOT.RooAddPdf(
492 "modelSigZ", "modelSigZ", ROOT.RooArgList(g1SigZ, g2SigZ, g3SigZ),
493 ROOT.RooArgList(frac1SigZ, frac2SigZ))
494
495 DSigZ.setRange("fitRange", -limZSig, limZSig)
496
497 fitResSigZ = modelSigZ.fitTo(fitDataSigZ, ROOT.RooFit.NumCPU(1), ROOT.RooFit.Save())
498
499 fitResSigZ.Print("v")
500
501 resFrameSigZ = DSigZ.frame()
502
503 f1SigZ = frac1SigZ.getVal()
504 f2SigZ = frac2SigZ.getVal()
505 f3SigZ = 1 - f1SigZ - f2SigZ
506
507 argsetList = []
508 argsetList.append([argset1SigZ, f1SigZ])
509 argsetList.append([argset2SigZ, f2SigZ])
510 argsetList.append([argset3SigZ, f3SigZ])
511
512 argsetList = sorted(argsetList, key=itemgetter(1))
513
514 fitDataSigZ.plotOn(resFrameSigZ)
515 modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.LineWidth(4))
516 modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.Components(argsetList[2][0]), ROOT.RooFit.LineColor(ROOT.kRed + 2),
517 ROOT.RooFit.LineWidth(4))
518 modelSigZ.plotOn(resFrameSigZ, ROOT.RooFit.Components(argsetList[1][0]), ROOT.RooFit.LineColor(ROOT.kGreen + 3),
519 ROOT.RooFit.LineWidth(4))
520 modelSigZ.plotOn(
521 resFrameSigZ,
522 ROOT.RooFit.Components(argsetList[0][0]),
523 ROOT.RooFit.LineColor(
524 ROOT.kMagenta + 2),
525 ROOT.RooFit.LineWidth(4))
526 resFrameSigZ.SetTitle("")
527
528 sXtitleSigZ = "B0_Z - Gen. B0_Z / cm"
529
530 resFrameSigZ.GetXaxis().SetTitle(sXtitleSigZ)
531 resFrameSigZ.GetXaxis().SetLimits(-limZSig, limZSig)
532 resFrameSigZ.GetXaxis().SetTitleSize(0.05)
533 resFrameSigZ.GetXaxis().SetLabelSize(0.045)
534 resFrameSigZ.GetYaxis().SetTitleSize(0.05)
535 resFrameSigZ.GetYaxis().SetTitleOffset(1.5)
536 resFrameSigZ.GetYaxis().SetLabelSize(0.045)
537
538 shiftSigZ = Mu1SigZ.getVal() * f1SigZ + Mu2SigZ.getVal() * f2SigZ + Mu3SigZ.getVal() * f3SigZ
539 resolutionSigZ = Sigma1SigZ.getVal() * f1SigZ + Sigma2SigZ.getVal() * f2SigZ + Sigma3SigZ.getVal() * f3SigZ
540
541 shiftSigZ = shiftSigZ * 10000
542 resolutionSigZ = resolutionSigZ * 10000
543
544 shiftErrSigZ = math.sqrt((Mu1SigZ.getError() * f1SigZ)**2 + (Mu2SigZ.getError() * f2SigZ) ** 2 +
545 (Mu3SigZ.getError() * f3SigZ)**2) * 10000
546 resolutionErrSigZ = math.sqrt((Sigma1SigZ.getError() * f1SigZ)**2 + (Sigma2SigZ.getError() * f2SigZ)**2 +
547 (Sigma3SigZ.getError() * f3SigZ)**2) * 10000
548
549 c1.cd()
550 Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
551 Pad.SetLeftMargin(0.15)
552 Pad.SetBottomMargin(0.15)
553 Pad.Draw()
554 Pad.cd()
555 resFrameSigZ.Draw()
556 legend = ROOT.TLegend(0.63, 0.65, 0.9, 0.9)
557 # NumbrSigZ = '{:d}'.format(int((f1+f2)*fitDataSigZ.numEntries()))
558 # legend.AddEntry(0, 'Entries' + '{:>11}'.format(NumbrSigZ))
559
560 legend.AddEntry(
561 0,
562 f'#splitline{{#mu_{{#Delta z}} = {shiftSigZ:1.1f}}}'
563 f'{{ #pm {shiftErrSigZ:1.1f} #mum}}')
564 legend.AddEntry(
565 0,
566 f'#splitline{{#sigma_{{#Delta z}} = {resolutionSigZ:1.1f}}}'
567 f'{{ #pm {resolutionErrSigZ:1.1f} #mum}}')
568
569 legend.SetTextSize(0.05)
570 legend.SetFillColorAlpha(ROOT.kWhite, 0)
571 legend.Draw()
572 Pad.Update()
573 nPlot = PATH + "/test6_CPVResDeltaZsig" + VXDReq + ".pdf"
574 c1.SaveAs(nPlot)
575 c1.Clear()
576
577 fitResSigZ.Clear()
578 modelSigZ.Clear()
579
580 iResult.append([f'mu = {shiftSigZ:4.1f} +- {shiftErrSigZ:3.1f} mum',
581 f'sigma = {resolutionSigZ:4.1f} +- {resolutionErrSigZ:3.1f} mum'])
582 fitResultsForNtuple.append(shiftSigZ)
583 fitResultsForNtuple.append(resolutionSigZ)
584
585 # Fit of Delta z for B0_Tag
586
587 Mu1TagZ = ROOT.RooRealVar("Mu1TagZ", "Mu1TagZ", 0., -limZTag, limZTag)
588 Mu2TagZ = ROOT.RooRealVar("Mu2TagZ", "Mu2TagZ", 0., -limZTag, limZTag)
589 Mu3TagZ = ROOT.RooRealVar("Mu3TagZ", "Mu3TagZ", 0., -limZTag, limZTag)
590 Sigma1TagZ = ROOT.RooRealVar("Sigma1TagZ", "Sigma1TagZ", 2.51877e-02, 1e-6, limZTag)
591 Sigma2TagZ = ROOT.RooRealVar("Sigma2TagZ", "Sigma2TagZ", 1.54011e-02, 1e-6, limZTag)
592 Sigma3TagZ = ROOT.RooRealVar("Sigma3TagZ", "Sigma3TagZ", 1.61081e-02, 1e-6, limZTag)
593 frac1TagZ = ROOT.RooRealVar("frac1TagZ", "frac1TagZ", 1.20825e-01, 0.0, 1.)
594 frac2TagZ = ROOT.RooRealVar("frac2TagZ", "frac2TagZ", 1.10840e-01, 0.0, 1.)
595
596 g1TagZ = ROOT.RooGaussian("g1", "g1", DTagZ, Mu1TagZ, Sigma1TagZ)
597 g2TagZ = ROOT.RooGaussian("g2", "g2", DTagZ, Mu2TagZ, Sigma2TagZ)
598 g3TagZ = ROOT.RooGaussian("g3", "g3", DTagZ, Mu3TagZ, Sigma3TagZ)
599
600 argset1TagZ = ROOT.RooArgSet(g1TagZ)
601 argset2TagZ = ROOT.RooArgSet(g2TagZ)
602 argset3TagZ = ROOT.RooArgSet(g3TagZ)
603
604 modelTagZ = ROOT.RooAddPdf("modelTagZ", "modelTagZ", ROOT.RooArgList(
605 g1TagZ, g2TagZ, g3TagZ), ROOT.RooArgList(frac1TagZ, frac2TagZ))
606
607 DTagZ.setRange("fitRange", -limZTag, limZTag)
608
609 fitResTagZ = modelTagZ.fitTo(fitDataTagZ, ROOT.RooFit.NumCPU(1), ROOT.RooFit.Save())
610 fitResTagZ.Print("v")
611
612 resFrameTagZ = DTagZ.frame()
613
614 f1TagZ = frac1TagZ.getVal()
615 f2TagZ = frac2TagZ.getVal()
616 f3TagZ = 1 - f1TagZ - f2TagZ
617
618 argsetList = []
619 argsetList.append([argset1TagZ, f1TagZ])
620 argsetList.append([argset2TagZ, f2TagZ])
621 argsetList.append([argset3TagZ, f3TagZ])
622
623 argsetList = sorted(argsetList, key=itemgetter(1))
624
625 fitDataTagZ.plotOn(resFrameTagZ)
626 modelTagZ.plotOn(resFrameTagZ, ROOT.RooFit.LineWidth(4))
627 modelTagZ.plotOn(
628 resFrameTagZ, ROOT.RooFit.Components(
629 argsetList[2][0]), ROOT.RooFit.LineColor(
630 ROOT.kRed + 2), ROOT.RooFit.LineWidth(4))
631 modelTagZ.plotOn(
632 resFrameTagZ,
633 ROOT.RooFit.Components(argsetList[1][0]),
634 ROOT.RooFit.LineColor(ROOT.kGreen + 3),
635 ROOT.RooFit.LineWidth(4))
636 modelTagZ.plotOn(
637 resFrameTagZ,
638 ROOT.RooFit.Components(argsetList[0][0]),
639 ROOT.RooFit.LineColor(ROOT.kMagenta + 2),
640 ROOT.RooFit.LineWidth(4))
641 resFrameTagZ.SetTitle("")
642
643 sXtitleTagZ = "B0_TagVz - Gen. B0_TagVz / cm"
644
645 resFrameTagZ.GetXaxis().SetTitle(sXtitleTagZ)
646 resFrameTagZ.GetXaxis().SetTitleSize(0.05)
647 resFrameTagZ.GetXaxis().SetLabelSize(0.045)
648 resFrameTagZ.GetYaxis().SetTitleSize(0.05)
649 resFrameTagZ.GetYaxis().SetTitleOffset(1.5)
650 resFrameTagZ.GetYaxis().SetLabelSize(0.045)
651
652 shiftTagZ = Mu1TagZ.getVal() * f1TagZ + Mu2TagZ.getVal() * f2TagZ + Mu3TagZ.getVal() * f3TagZ
653 resolutionTagZ = Sigma1TagZ.getVal() * f1TagZ + Sigma2TagZ.getVal() * f2TagZ + Sigma3TagZ.getVal() * f3TagZ
654
655 shiftTagZ = shiftTagZ * 10000
656 resolutionTagZ = resolutionTagZ * 10000
657
658 shiftErrTagZ = math.sqrt((Mu1TagZ.getError() * f1TagZ)**2 + (Mu2TagZ.getError() * f2TagZ) ** 2 +
659 (Mu3TagZ.getError() * f3TagZ)**2) * 10000
660 resolutionErrTagZ = math.sqrt((Sigma1TagZ.getError() * f1TagZ)**2 + (Sigma2TagZ.getError() * f2TagZ)**2 +
661 (Sigma3TagZ.getError() * f3TagZ)**2) * 10000
662
663 c1.cd()
664 Pad = ROOT.TPad("p1", "p1", 0, 0, 1, 1, 0, 0, 0)
665 Pad.SetLeftMargin(0.15)
666 Pad.SetBottomMargin(0.15)
667 Pad.Draw()
668 Pad.cd()
669 resFrameTagZ.Draw()
670 legend = ROOT.TLegend(0.64, 0.65, 0.9, 0.9)
671 # NumbrTagZ = '{:d}'.format(int((f1+f2)*fitDataTagZ.numEntries()))
672 # legend.AddEntry(0, 'Entries' + '{:>11}'.format(NumbrTagZ))
673
674 legend.AddEntry(0, f'#splitline{{#mu_{{#Delta z}} = {shiftTagZ:1.1f}'
675 f'}}{{ #pm {shiftErrTagZ:1.1f} #mum}}')
676 legend.AddEntry(0, f'#splitline{{#sigma_{{#Delta z}} = {resolutionTagZ:1.1f}'
677 f'}}{{ #pm {resolutionErrTagZ:1.1f} #mum}}')
678 legend.SetTextSize(0.05)
679 legend.SetFillColorAlpha(ROOT.kWhite, 0)
680 legend.Draw()
681 Pad.Update()
682 nPlot = PATH + f"/test6_CPVResDeltaZtag{VXDReq}.pdf"
683 c1.SaveAs(nPlot)
684 c1.Clear()
685
686 iResult.append([f'mu = {shiftTagZ:4.1f} +- {shiftErrTagZ:3.1f} mum',
687 f'sigma = {resolutionTagZ:4.1f} +- {resolutionErrTagZ:3.1f} mum'])
688 fitResultsForNtuple.append(shiftTagZ)
689 fitResultsForNtuple.append(resolutionTagZ)
690
691 fitResults.append(iResult)
692
693fitResultsForNtuple.append(float((numberOfEntries[1] / numberOfEntries[0]) * 100))
694outputNtuple.Fill(array.array('f', fitResultsForNtuple))
695outputNtuple.Write()
696outputFile.Close()
697
698print('*********************** FIT RESULTS ***************************')
699print('* *')
700print('* WEIGHTED AVERAGES OF THE PARAMETERS *')
701print('* OF THE FITTED 3 GAUSSIAN *')
702print('* *')
703print('**************** WITHOUT PXD HIT REQUIREMENT ******************')
704print('* *')
705print('* DeltaT - Gen. DeltaT *')
706print('* *')
707print('* ' + fitResults[0][0][0] + ' ' + fitResults[0][0][1] + ' *')
708print('* *')
709print('* SigZ - Gen. SigZ *')
710print('* *')
711print('* ' + fitResults[0][1][0] + ' ' + fitResults[0][1][1] + ' *')
712print('* *')
713print('* TagZ - Gen. TagZ *')
714print('* *')
715print('* ' + fitResults[0][2][0] + ' ' + fitResults[0][2][1] + ' *')
716print('* *')
717print('********REQUIRING BOTH MUON TRACKS TO HAVE A PXD HIT***********')
718print('* *')
719print('* Efficiency *')
720print('* *')
721print(f'* N_{VXDReqs[1]}/N_{VXDReqs[0]} = {numberOfEntries[1]}/{numberOfEntries[0]} = '
722 f'{(numberOfEntries[1] / numberOfEntries[0]) * 100:3.2f}% *')
723print('* *')
724print('* DeltaT - Gen. DeltaT *')
725print('* *')
726print('* ' + fitResults[1][0][0] + ' ' + fitResults[1][0][1] + ' *')
727print('* *')
728print('* SigZ - Gen. SigZ *')
729print('* *')
730print('* ' + fitResults[1][1][0] + ' ' + fitResults[1][1][1] + ' *')
731print('* *')
732print('* TagZ - Gen. TagZ *')
733print('* *')
734print('* ' + fitResults[1][2][0] + ' ' + fitResults[1][2][1] + ' *')
735print('* *')
736print('***************************************************************')