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source: git/external/TrackCovariance/VertexFit.cc@ 91eef4d

Last change on this file since 91eef4d was 53f4746, checked in by Franco BEDESCHI <bed@…>, 4 years ago

Cluster counting example and VertexFit update
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1#include <TMath.h>
2#include <TVectorD.h>
3#include <TVector3.h>
4#include <TMatrixD.h>
5#include <TMatrixDSym.h>
6#include "VertexFit.h"
7//
8// Constructors
9//
10//
11// Empty construction (to be used when adding tracks later with AddTrk() )
12VertexFit::VertexFit()
13{
14 fNtr = 0;
15 fRold = -1.0;
16 fVtxDone = kFALSE;
17 fVtxCst = kFALSE;
18 fxCst.ResizeTo(3);
19 fCovCst.ResizeTo(3, 3);
20 fCovCstInv.ResizeTo(3, 3);
21 fXv.ResizeTo(3);
22 fcovXv.ResizeTo(3, 3);
23}
24//
25// Build from list of parameters and covariances
26VertexFit::VertexFit(Int_t Ntr, TVectorD** trkPar, TMatrixDSym** trkCov)
27{
28 fNtr = Ntr;
29 fRold = -1.0;
30 fVtxDone = kFALSE;
31 fVtxCst = kFALSE;
32 fxCst.ResizeTo(3);
33 fCovCst.ResizeTo(3, 3);
34 fCovCstInv.ResizeTo(3, 3);
35 fXv.ResizeTo(3);
36 fcovXv.ResizeTo(3, 3);
37 //
38 for (Int_t i = 0; i < fNtr; i++)
39 {
40 TVectorD pr = *trkPar[i];
41 fPar.push_back(new TVectorD(pr));
42 fParNew.push_back(new TVectorD(pr));
43 TMatrixDSym cv = *trkCov[i];
44 fCov.push_back(new TMatrixDSym(cv));
45 fCovNew.push_back(new TMatrixDSym(cv));
46 }
47 fChi2List.ResizeTo(fNtr);
48 //
49}
50//
51// Build from ObsTrk list of tracks
52VertexFit::VertexFit(Int_t Ntr, ObsTrk** track)
53{
54 fNtr = Ntr;
55 fRold = -1.0;
56 fVtxDone = kFALSE;
57 fVtxCst = kFALSE;
58 fxCst.ResizeTo(3);
59 fCovCst.ResizeTo(3, 3);
60 fCovCstInv.ResizeTo(3, 3);
61 fXv.ResizeTo(3);
62 fcovXv.ResizeTo(3, 3);
63 //
64 fChi2List.ResizeTo(fNtr);
65 for (Int_t i = 0; i < fNtr; i++)
66 {
67 fPar.push_back(new TVectorD(track[i]->GetObsPar()));
68 fParNew.push_back(new TVectorD(track[i]->GetObsPar()));
69 fCov.push_back(new TMatrixDSym(track[i]->GetCov()));
70 fCovNew.push_back(new TMatrixDSym(track[i]->GetCov()));
71 }
72}
73//
74// Destructor
75//
76void VertexFit::ResetWrkArrays()
77{
78 Int_t N = (Int_t)ffi.size();
79 for (Int_t i = 0; i < N; i++)
80 {
81 if (fx0i[i]) { fx0i[i]->Clear(); delete fx0i[i]; }
82 if (fai[i]) { fai[i]->Clear(); delete fai[i]; }
83 if (fdi[i]) { fdi[i]->Clear(); delete fdi[i]; }
84 if (fAti[i]) { fAti[i]->Clear(); delete fAti[i]; }
85 if (fDi[i]) { fDi[i]->Clear(); delete fDi[i]; }
86 if (fWi[i]) { fWi[i]->Clear(); delete fWi[i]; }
87 if (fWinvi[i]){ fWinvi[i]->Clear(); delete fWinvi[i]; }
88 }
89 fa2i.clear();
90 fx0i.clear();
91 fai.clear();
92 fdi.clear();
93 fAti.clear();
94 fDi.clear();
95 fWi.clear();
96 fWinvi.clear();
97}
98VertexFit::~VertexFit()
99{
100 fxCst.Clear();
101 fCovCst.Clear();
102 fCovCstInv.Clear();
103 fXv.Clear();
104 fcovXv.Clear();
105 fChi2List.Clear();
106 //
107 for (Int_t i = 0; i < fNtr; i++)
108 {
109 fPar[i]->Clear(); delete fPar[i];
110 fParNew[i]->Clear(); delete fParNew[i];
111 fCov[i]->Clear(); delete fCov[i];
112 fCovNew[i]->Clear(); delete fCovNew[i];
113 }
114 fPar.clear();
115 fParNew.clear();
116 fCov.clear();
117 fCovNew.clear();
118 //
119 ResetWrkArrays();
120 ffi.clear();
121 fNtr = 0;
122}
123//
124Double_t VertexFit::FastRv(TVectorD p1, TVectorD p2)
125{
126 //
127 // Find radius of minimum distance between two tracks
128 //
129 // p = (D,phi, C, z0, ct)
130 //
131 // Define arrays
132 //
133 Double_t C1 = p1(2);
134 Double_t C2 = p2(2);
135 Double_t ph1 = p1(1);
136 Double_t ph2 = p2(1);
137 TVectorD x0 = Fill_x0(p1);
138 TVectorD y0 = Fill_x0(p2);
139 TVectorD n = Fill_a(p1, 0.0);
140 n *= (2*C1);
141 TVectorD k = Fill_a(p2, 0.0);
142 k *= (2*C2);
143 //
144 // Setup and solve linear system
145 //
146 Double_t nn = 0; for (Int_t i = 0; i < 3; i++)nn += n(i) * n(i);
147 Double_t nk = 0; for (Int_t i = 0; i < 3; i++)nk += n(i) * k(i);
148 Double_t kk = 0; for (Int_t i = 0; i < 3; i++)kk += k(i) * k(i);
149 Double_t discr = nn * kk - nk * nk;
150 TMatrixDSym H(2);
151 H(0, 0) = kk;
152 H(0, 1) = nk;
153 H(1, 0) = H(0, 1);
154 H(1, 1) = nn;
155 TVectorD c(2);
156 c(0) = 0; for (Int_t i = 0; i < 3; i++)c(0) += n(i) * (y0(i) - x0(i));
157 c(1) = 0; for (Int_t i = 0; i < 3; i++)c(1) += -k(i) * (y0(i) - x0(i));
158 TVectorD smin = (H * c);
159 smin *= 1.0 / discr;
160 //
161 TVectorD X = x0 + smin(0) * n;
162 TVectorD Y = y0 + smin(1) * k;
163 //
164 // Higher order corrections
165 X(0) += -C1 * smin(0) * smin(0) * TMath::Sin(ph1);
166 X(1) += C1 * smin(0) * smin(0) * TMath::Cos(ph1);
167 Y(0) += -C2 * smin(1) * smin(1) * TMath::Sin(ph2);
168 Y(1) += C2 * smin(1) * smin(1) * TMath::Cos(ph2);
169 //
170 TVectorD Xavg = 0.5 * (X + Y);
171 //
172 //
173 return TMath::Sqrt(Xavg(0)*Xavg(0)+Xavg(1)*Xavg(1));
174}
175//
176// Starting radius determination
177Double_t VertexFit::StartRadius()
178{
179 //
180 // Maximum impact parameter
181 Double_t Rd = 0;
182 for (Int_t i = 0; i < fNtr; i++)
183 {
184 TVectorD par = *fPar[i];
185 Double_t Dabs = TMath::Abs(par(0));
186 if (Dabs > Rd)Rd = Dabs;
187 }
188 //-----------------------------
189 //
190 // Find track pair with phi difference closest to pi/2
191 Int_t isel = 0; Int_t jsel = 0; // selected track indices
192 Double_t dSinMax = 0.0; // Max phi difference
193 for (Int_t i = 0; i < fNtr - 1; i++)
194 {
195 TVectorD pari = *fPar[i];
196 Double_t phi1 = pari(1);
197
198 for (Int_t j = i + 1; j < fNtr; j++)
199 {
200 TVectorD parj = *fPar[j];
201 Double_t phi2 = parj(1);
202 Double_t Sindphi = TMath::Abs(TMath::Sin(phi2 - phi1));
203 if (Sindphi > dSinMax)
204 {
205 isel = i; jsel = j;
206 dSinMax = Sindphi;
207 }
208 }
209 }
210 //
211 //------------------------------------------
212 //
213 // Find radius of minimum distrance between tracks
214 TVectorD p1 = *fPar[isel];
215 TVectorD p2 = *fPar[jsel];
216 Double_t R = FastRv(p1, p2);
217 //
218 R = 0.9 * R + 0.1 * Rd; // Protect for overshoot
219 //
220 return R;
221}
222//
223// Regularized symmetric matrix inversion
224//
225TMatrixDSym VertexFit::RegInv(TMatrixDSym& Min)
226{
227 TMatrixDSym M = Min; // Decouple from input
228 Int_t N = M.GetNrows(); // Matrix size
229 TMatrixDSym D(N); D.Zero(); // Normaliztion matrix
230 TMatrixDSym R(N); // Normarized matrix
231 TMatrixDSym Rinv(N); // Inverse of R
232 TMatrixDSym Minv(N); // Inverse of M
233 //
234 // Check for 0's and normalize
235 for (Int_t i = 0; i < N; i++)
236 {
237 if (M(i, i) != 0.0) D(i, i) = 1. / TMath::Sqrt(TMath::Abs(M(i, i)));
238 else D(i, i) = 1.0;
239 }
240 R = M.Similarity(D);
241 //
242 // Recursive algorithms stops when N = 2
243 //
244 //****************
245 // case N = 2 ***
246 //****************
247 if (N == 2)
248 {
249 Double_t det = R(0, 0) * R(1, 1) - R(0, 1) * R(1, 0);
250 if (det == 0)
251 {
252 std::cout << "VertexFit::RegInv: null determinant for N = 2" << std::endl;
253 Rinv.Zero(); // Return null matrix
254 }
255 else
256 {
257 // invert matrix
258 Rinv(0, 0) = R(1, 1);
259 Rinv(0, 1) = -R(0, 1);
260 Rinv(1, 0) = Rinv(0, 1);
261 Rinv(1, 1) = R(0, 0);
262 Rinv *= 1. / det;
263 }
264 }
265 //****************
266 // case N > 2 ***
267 //****************
268 else
269 {
270 // Break up matrix
271 TMatrixDSym Q = R.GetSub(0, N - 2, 0, N - 2); // Upper left
272 TVectorD p(N - 1);
273 for (Int_t i = 0; i < N - 1; i++)p(i) = R(N - 1, i);
274 Double_t q = R(N - 1, N - 1);
275 //Invert pieces and re-assemble
276 TMatrixDSym Ainv(N - 1);
277 TMatrixDSym A(N - 1);
278 if (TMath::Abs(q) > 1.0e-15)
279 {
280 // Case |q| > 0
281 Ainv.Rank1Update(p, -1.0 / q);
282 Ainv += Q;
283 A = RegInv(Ainv); // Recursive call
284 TMatrixDSub(Rinv, 0, N - 2, 0, N - 2) = A;
285 //
286 TVectorD b = (-1.0 / q) * (A * p);
287 for (Int_t i = 0; i < N - 1; i++)
288 {
289 Rinv(N - 1, i) = b(i);
290 Rinv(i, N - 1) = b(i);
291 }
292 //
293 Double_t pdotb = 0.;
294 for (Int_t i = 0; i < N - 1; i++)pdotb += p(i) * b(i);
295 Double_t c = (1.0 - pdotb) / q;
296 Rinv(N - 1, N - 1) = c;
297 }
298 else
299 {
300 // case q = 0
301 TMatrixDSym Qinv = RegInv(Q); // Recursive call
302 Double_t a = Qinv.Similarity(p);
303 Double_t c = -1.0 / a;
304 Rinv(N - 1, N - 1) = c;
305 //
306 TVectorD b = (1.0 / a) * (Qinv * p);
307 for (Int_t i = 0; i < N - 1; i++)
308 {
309 Rinv(N - 1, i) = b(i);
310 Rinv(i, N - 1) = b(i);
311 }
312 //
313 A.Rank1Update(p, -1 / a);
314 A += Q;
315 A.Similarity(Qinv);
316 TMatrixDSub(Rinv, 0, N - 2, 0, N - 2) = A;
317 }
318 }
319 Minv = Rinv.Similarity(D);
320 return Minv;
321}
322//
323//
324//
325TMatrixD VertexFit::Fill_A(TVectorD par, Double_t phi)
326{
327 //
328 // Derivative of track 3D position vector with respect to track parameters at constant phase
329 //
330 // par = vector of track parameters
331 // phi = phase
332 //
333 TMatrixD A(3, 5);
334 //
335 // Decode input arrays
336 //
337 Double_t D = par(0);
338 Double_t p0 = par(1);
339 Double_t C = par(2);
340 Double_t z0 = par(3);
341 Double_t ct = par(4);
342 //
343 // Fill derivative matrix dx/d alpha
344 // D
345 A(0, 0) = -TMath::Sin(p0);
346 A(1, 0) = TMath::Cos(p0);
347 A(2, 0) = 0.0;
348 // phi0
349 A(0, 1) = -D * TMath::Cos(p0) + (TMath::Cos(phi + p0) - TMath::Cos(p0)) / (2 * C);
350 A(1, 1) = -D * TMath::Sin(p0) + (TMath::Sin(phi + p0) - TMath::Sin(p0)) / (2 * C);
351 A(2, 1) = 0.0;
352 // C
353 A(0, 2) = -(TMath::Sin(phi + p0) - TMath::Sin(p0)) / (2 * C * C);
354 A(1, 2) = (TMath::Cos(phi + p0) - TMath::Cos(p0)) / (2 * C * C);
355 A(2, 2) = -ct * phi / (2 * C * C);
356 // z0
357 A(0, 3) = 0.0;
358 A(1, 3) = 0.0;
359 A(2, 3) = 1.0;
360 // ct = lambda
361 A(0, 4) = 0.0;
362 A(1, 4) = 0.0;
363 A(2, 4) = phi / (2 * C);
364 //
365 return A;
366}
367//
368TVectorD VertexFit::Fill_a(TVectorD par, Double_t phi)
369{
370 //
371 // Derivative of track 3D position vector with respect to phase at constant track parameters
372 //
373 // par = vector of track parameters
374 // phi = phase
375 //
376 TVectorD a(3);
377 //
378 // Decode input arrays
379 //
380 Double_t D = par(0);
381 Double_t p0 = par(1);
382 Double_t C = par(2);
383 Double_t z0 = par(3);
384 Double_t ct = par(4);
385 //
386 a(0) = TMath::Cos(phi + p0) / (2 * C);
387 a(1) = TMath::Sin(phi + p0) / (2 * C);
388 a(2) = ct / (2 * C);
389 //
390 return a;
391}
392//
393TVectorD VertexFit::Fill_x0(TVectorD par)
394{
395 //
396 // Calculate track 3D position at R = |D| (minimum approach to z-axis)
397 //
398 TVectorD x0(3);
399 //
400 // Decode input arrays
401 //
402 Double_t D = par(0);
403 Double_t p0 = par(1);
404 Double_t C = par(2);
405 Double_t z0 = par(3);
406 Double_t ct = par(4);
407 //
408 x0(0) = -D * TMath::Sin(p0);
409 x0(1) = D * TMath::Cos(p0);
410 x0(2) = z0;
411 //
412 return x0;
413}
414//
415TVectorD VertexFit::Fill_x(TVectorD par, Double_t phi)
416{
417 //
418 // Calculate track 3D position for a given phase, phi
419 //
420 TVectorD x(3);
421 //
422 // Decode input arrays
423 //
424 Double_t D = par(0);
425 Double_t p0 = par(1);
426 Double_t C = par(2);
427 Double_t z0 = par(3);
428 Double_t ct = par(4);
429 //
430 TVectorD x0 = Fill_x0(par);
431 x(0) = x0(0) + (TMath::Sin(phi + p0) - TMath::Sin(p0)) / (2 * C);
432 x(1) = x0(1) - (TMath::Cos(phi + p0) - TMath::Cos(p0)) / (2 * C);
433 x(2) = x0(2) + ct * phi / (2 * C);
434 //
435 return x;
436}
437//
438void VertexFit::UpdateTrkArrays(Int_t i)
439{
440 //
441 // Get track parameters and their covariance
442 TVectorD par = *fParNew[i];
443 TMatrixDSym Cov = *fCov[i];
444 //
445 // Fill all track related work arrays arrays
446 Double_t fs = ffi[i]; // Get phase
447 TVectorD xs = Fill_x(par, fs);
448 fx0i.push_back(new TVectorD(xs)); // Start helix position
449 //
450 TMatrixD A = Fill_A(par, fs); // A = dx/da = derivatives wrt track parameters
451 TMatrixD At(TMatrixD::kTransposed, A); // A transposed
452 fAti.push_back(new TMatrixD(At)); // Store A'
453 TVectorD di = A * (par - *fPar[i]); // x-shift
454 fdi.push_back(new TVectorD(di)); // Store x-shift
455 TMatrixDSym Winv = Cov.Similarity(A); // W^-1 = A*C*A'
456 fWinvi.push_back(new TMatrixDSym(Winv)); // Store W^-1 matrix
457 //
458 TMatrixDSym W = RegInv(Winv); // W = (A*C*A')^-1
459 fWi.push_back(new TMatrixDSym(W)); // Store W matrix
460 //
461 TVectorD a = Fill_a(par, fs); // a = dx/ds = derivatives wrt phase
462 fai.push_back(new TVectorD(a)); // Store a
463 //
464 Double_t a2 = W.Similarity(a);
465 fa2i.push_back(a2); // Store a2
466 //
467 // Build D matrix
468 TMatrixDSym B(3);
469 B.Rank1Update(a, -1. / a2);
470 B.Similarity(W);
471 TMatrixDSym Ds = W + B; // D matrix
472 fDi.push_back(new TMatrixDSym(Ds)); // Store D matrix
473}
474//
475void VertexFit::VertexFitter()
476{
477 //std::cout << "VertexFitter: just in" << std::endl;
478 if (fNtr < 2 && !fVtxCst){
479 std::cout << "VertexFit::VertexFitter - Method called with less than 2 tracks - Aborting " << std::endl;
480 std::exit(1);
481 }
482 //
483 // Vertex fit
484 //
485 // Initial variable definitions
486 TVectorD x(3);
487 TMatrixDSym covX(3);
488 Double_t Chi2 = 0;
489 TVectorD x0 = fXv; // If previous fit done
490 if (fRold < 0.0) {
491 // External constraint
492 if (fVtxCst) fRold = TMath::Sqrt(fxCst(0) * fxCst(0) + fxCst(1) * fxCst(1));
493 // No constraint
494 else for (Int_t i = 0; i < 3; i++)x0(i) = 1000.; // Set to arbitrary large value
495 }
496 //
497 // Starting vertex radius approximation
498 //
499 Double_t R = fRold; // Use previous fit if available
500 if (R < 0.0) R = StartRadius(); // Rough vertex estimate
501 //std::cout << "Start radius: " << R << std::endl;
502 //
503 // Iteration properties
504 //
505 Int_t Ntry = 0;
506 Int_t TryMax = 100;
507 Double_t eps = 1.0e-9; // vertex stability
508 Double_t epsi = 1000.;
509 //
510 // Iteration loop
511 while (epsi > eps && Ntry < TryMax) // Iterate until found vertex is stable
512 {
513 // Initialize arrays
514 x.Zero();
515 TVectorD cterm(3); TMatrixDSym H(3); TMatrixDSym DW1D(3);
516 covX.Zero(); // Reset vertex covariance
517 cterm.Zero(); // Reset constant term
518 H.Zero(); // Reset H matrix
519 DW1D.Zero();
520 //
521 // Reset work arrays
522 //
523 ResetWrkArrays();
524 //
525 // Start loop on tracks
526 //
527 for (Int_t i = 0; i < fNtr; i++)
528 {
529 // Get track helix parameters and their covariance matrix
530 TVectorD par = *fPar[i];
531 TMatrixDSym Cov = *fCov[i];
532 //
533 // For first iteration only
534 Double_t fs;
535 if (Ntry <= 0) // Initialize all phases on first pass
536 {
537 Double_t D = par(0);
538 Double_t C = par(2);
539 Double_t arg = TMath::Max(1.0e-6, (R * R - D * D) / (1 + 2 * C * D));
540 fs = 2 * TMath::ASin(C * TMath::Sqrt(arg));
541 ffi.push_back(fs);
542 }
543 //
544 // Update track related arrays
545 //
546 UpdateTrkArrays(i);
547 TMatrixDSym Ds = *fDi[i];
548 TMatrixDSym Winv = *fWinvi[i];
549 TMatrixDSym DsW1Ds = Winv.Similarity(Ds); // Service matrix to calculate covX
550 //
551 // Update global arrays
552 DW1D += DsW1Ds;
553 // Update hessian
554 H += Ds;
555 // update constant term
556 TVectorD xs = *fx0i[i] - *fdi[i];
557 TVectorD xx0 = *fx0i[i];
558 /*
559 std::cout << "Iter. " << Ntry << ", trk " << i << ", x= "
560 << xx0(0) << ", " << xx0(1) << ", " << xx0(2)<<
561 ", ph0= "<<par(1)<< std::endl;
562 */
563 cterm += Ds * xs;
564 } // End loop on tracks
565 // Some additions in case of external constraints
566 if (fVtxCst) {
567 H += fCovCstInv;
568 cterm += fCovCstInv * fxCst;
569 DW1D += fCovCstInv;
570 }
571 //
572 // update vertex position
573 TMatrixDSym H1 = RegInv(H);
574 x = H1 * cterm;
575 //
576 // Update vertex covariance
577 covX = DW1D.Similarity(H1);
578 //
579 // Update phases and chi^2
580 Chi2 = 0.0;
581 for (Int_t i = 0; i < fNtr; i++)
582 {
583 TVectorD lambda = (*fDi[i]) * (*fx0i[i] - x - *fdi[i]);
584 TMatrixDSym Wm1 = *fWinvi[i];
585 fChi2List(i) = Wm1.Similarity(lambda);
586 Chi2 += fChi2List(i);
587 TVectorD a = *fai[i];
588 TVectorD b = (*fWi[i]) * (x - (*fx0i[i]));
589 for (Int_t j = 0; j < 3; j++)ffi[i] += a(j) * b(j) / fa2i[i];
590 TVectorD newPar = *fPar[i] - ((*fCov[i]) * (*fAti[i])) * lambda;
591 fParNew[i] = new TVectorD(newPar);
592 }
593 // Add external constraint to Chi2
594 if (fVtxCst) Chi2 += fCovCstInv.Similarity(x - fxCst);
595 //
596 TVectorD dx = x - x0;
597 x0 = x;
598 // update vertex stability
599 TMatrixDSym Hess = RegInv(covX);
600 epsi = Hess.Similarity(dx);
601 Ntry++;
602 //
603 // Store result
604 //
605 fXv = x; // Vertex position
606 fcovXv = covX; // Vertex covariance
607 fChi2 = Chi2; // Vertex fit Chi2
608 //std::cout << "Found vertex " << fXv(0) << ", " << fXv(1) << ", " << fXv(2) << std::endl;
609 } // end of iteration loop
610 //
611 fVtxDone = kTRUE; // Set fit completion flag
612 fRold = TMath::Sqrt(fXv(0)*fXv(0) + fXv(1)*fXv(1)); // Store fit radius
613 //
614}
615//
616// Return fit vertex
617TVectorD VertexFit::GetVtx()
618{
619 if (!fVtxDone) VertexFitter();
620 return fXv;
621}
622//
623// Return fit vertex covariance
624TMatrixDSym VertexFit::GetVtxCov()
625{
626 if (!fVtxDone) VertexFitter();
627 return fcovXv;
628}
629//
630// Return fit vertex chi2
631Double_t VertexFit::GetVtxChi2()
632{
633 if (!fVtxDone) VertexFitter();
634 return fChi2;
635}
636//
637// Return array of chi2 contributions from each track
638TVectorD VertexFit::GetVtxChi2List()
639{
640 if (!fVtxDone) VertexFitter();
641 return fChi2List;
642}
643//
644// Handle tracks/constraints
645void VertexFit::AddVtxConstraint(TVectorD xv, TMatrixDSym cov) // Add gaussian vertex constraint
646{
647 //std::cout << "VertexFit::AddVtxConstraint: Not implemented yet" << std::endl;
648 fVtxCst = kTRUE; // Vertex constraint flag
649 fxCst = xv; // Constraint value
650 fCovCst = cov; // Constraint covariance
651 fCovCstInv = cov;
652 fCovCstInv.Invert(); // Its inverse
653 //
654 // Set starting vertex as external constraint
655 fXv = fxCst;
656 fcovXv = fCovCst;
657}
658//
659// Adding tracks one by one
660void VertexFit::AddTrk(TVectorD *par, TMatrixDSym *Cov) // Add track to input list
661{
662 fNtr++;
663 fChi2List.ResizeTo(fNtr); // Resize chi2 array
664 fPar.push_back(par); // add new track
665 fCov.push_back(Cov);
666 fParNew.push_back(par); // add new track
667 fCovNew.push_back(Cov);
668 //
669 // Reset previous vertex temp arrays
670 ResetWrkArrays();
671 ffi.clear();
672 fVtxDone = kFALSE; // Reset vertex done flag
673}
674//
675// Removing tracks one by one
676void VertexFit::RemoveTrk(Int_t iTrk) // Remove iTrk track
677{
678 fNtr--;
679 fChi2List.Clear();
680 fChi2List.ResizeTo(fNtr); // Resize chi2 array
681 fPar.erase(fPar.begin() + iTrk); // Remove track
682 fCov.erase(fCov.begin() + iTrk);
683 fParNew.erase(fParNew.begin() + iTrk); // Remove track
684 fCovNew.erase(fCovNew.begin() + iTrk);
685 //
686 // Reset previous vertex temp arrays
687 ResetWrkArrays();
688 ffi.clear();
689 fVtxDone = kFALSE; // Reset vertex done flag
690}
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