[u/mrichter/AliRoot.git] / HLT / MUON / macros / MakeTriggerTable.C

/**************************************************************************
 * This file is property of and copyright by the ALICE HLT Project        * 
 * All rights reserved.                                                   *
 *                                                                        *
 * Primary Authors:                                                       *
 *   Artur Szostak <artursz@iafrica.com>                                  *
 *                                                                        *
 * Permission to use, copy, modify and distribute this software and its   *
 * documentation strictly for non-commercial purposes is hereby granted   *
 * without fee, provided that the above copyright notice appears in all   *
 * copies and that both the copyright notice and this permission notice   *
 * appear in the supporting documentation. The authors make no claims     *
 * about the suitability of this software for any purpose. It is          * 
 * provided "as is" without express or implied warranty.                  *
 **************************************************************************/

// Simple macro to generate N-tuple for performance analysis.
// This macro must be compiled and run like so from within the aliroot command
// prompt:
//   root [0] gSystem->Load("libAliHLTMUON.so");
//   root [0] .L MakeHitsTable.C+

#include "TVector3.h"
#include "TSystem.h"
#include "TROOT.h"
#include "TParticle.h"
#include "TArrayF.h"
#include "TStopwatch.h"
#include "TNtuple.h"
#include "TFile.h"
#include "TError.h"

#include "AliLoader.h"
#include "AliRunLoader.h"
#include "AliStack.h"
#include "AliRun.h"
#include "AliMUON.h"
#include "AliMUONMCDataInterface.h"
#include "AliMUONHit.h"
#include "AliHLTMUONRootifierComponent.h"
#include "AliHLTMUONMansoTrack.h"

#include <cstdlib>
#include <vector>
#include <iostream>
using std::cout;
using std::cerr;
using std::endl;


void MakeTriggerTable(
		Int_t firstEvent = 0,
		Int_t lastEvent = -1,
		const char* L0outputfile = "output_0x00000000.root"
	)
{
	gSystem->Load("libAliHLTMUON.so");
	// Must pree load libAliHLTMUON.so before loading this macro and running it in compiled mode.

	TString fieldnames = "event:isprimary:pdgcode:sign:px:py:pz";
	for (Int_t i = 11; i <= 14; i++)
	{
		fieldnames += ":x";
		fieldnames += i;
		fieldnames += ":y";
		fieldnames += i;
		fieldnames += ":z";
		fieldnames += i;
	}
	fieldnames += ":L0sign:L0px:L0py:L0pz:L0fit";
	for (Int_t i = 11; i <= 14; i++)
	{
		fieldnames += ":L0x";
		fieldnames += i;
		fieldnames += ":L0y";
		fieldnames += i;
		fieldnames += ":L0z";
		fieldnames += i;
	}
	TNtuple* table = new TNtuple("triggertable", "Table of triggers.", fieldnames);
	
	TFile L0file(L0outputfile, "READ");

	AliMUONMCDataInterface data;
	AliStack* stack;
	
	Int_t nEvents = data.NumberOfEvents();
	if (lastEvent < 0) lastEvent = nEvents-1;
	for (Int_t event = firstEvent; event <= lastEvent; event++)
	{
		cout << "Processing event: " << event;
		
		char buf[1024];
		char* str = &buf[0];
		sprintf(str, "AliHLTMUONEvent;%d", event+1);
		AliHLTMUONEvent* L0event = dynamic_cast<AliHLTMUONEvent*>( L0file.Get(str) );
		if (L0event == NULL)
		{
			cout << endl;
			cerr << "ERROR: Could not find " << str << " in " << L0outputfile << endl;
			continue;
		}
		
		data.GetEvent(event);
		
		stack = data.Stack(event);
		if (stack == NULL)
		{
			cout << endl;
			cerr << "ERROR: Stack is NULL" << endl;
			continue;
		}
		
		Int_t trackcount = data.NumberOfParticles();
		cout << "\ttrackcount = " << trackcount << endl;
		
		TArrayF isPrimary(trackcount);
		TArrayF pdgcode(trackcount);
		TArrayF sign(trackcount);
		TArrayF px(trackcount);
		TArrayF py(trackcount);
		TArrayF pz(trackcount);
		TArrayF L0sign(trackcount);
		TArrayF L0px(trackcount);
		TArrayF L0py(trackcount);
		TArrayF L0pz(trackcount);
		TArrayF L0fit(trackcount);
		
		//cout << "Fill particle data" << endl;
		for (Int_t i = 0; i < trackcount; i++)
		{
			TParticle* p = data.Particle(i);
			isPrimary[i] = stack->IsPhysicalPrimary(i) ? 1 : 0;
			pdgcode[i] = p->GetPdgCode();
			if (p->GetPDG() != NULL)
			{
				Double_t charge = p->GetPDG()->Charge();
				if (charge > 0)
					sign[i] = 1;
				else if (charge < 0)
					sign[i] = -1;
				else
					sign[i] = 0;
			}
			else
			{
				sign[i] = 0;
				cerr << "ERROR: Could not get the PDG information." << endl;
			}
			px[i] = p->Px();
			py[i] = p->Py();
			pz[i] = p->Pz();
			L0sign[i] = 0;
			L0px[i] = 0;
			L0py[i] = 0;
			L0pz[i] = 0;
			L0fit[i] = -1;
		}
		
		TArrayF hitX[4];
		TArrayF hitY[4];
		TArrayF hitZ[4];
		TArrayF L0hitX[4];
		TArrayF L0hitY[4];
		TArrayF L0hitZ[4];
		for (Int_t i = 0; i < 4; i++)
		{
			hitX[i].Set(trackcount);
			hitY[i].Set(trackcount);
			hitZ[i].Set(trackcount);
			L0hitX[i].Set(trackcount);
			L0hitY[i].Set(trackcount);
			L0hitZ[i].Set(trackcount);
			for (Int_t j = 0; j < trackcount; j++)
			{
				hitX[i][j] = 0;
				hitY[i][j] = 0;
				hitZ[i][j] = 0;
				L0hitX[i][j] = 0;
				L0hitY[i][j] = 0;
				L0hitZ[i][j] = 0;
			}
		}

		//cout << "Fill hits" << endl;
		for (Int_t i = 0; i < data.NumberOfTracks(); i++)
		for (Int_t j = 0; j < data.NumberOfHits(i); j++)
		{
			AliMUONHit* hit = data.Hit(i, j);
			Int_t chamber = hit->Chamber() - 1;
			if (chamber < 0 || chamber >= 14)
			{
				cerr << "ERROR: Chamber number " << chamber << " is out of range." << endl;
				continue;
			}
			
			//cout << "hit->Track() = " << hit->Track() << endl;
			if (hit->Track() < 0 || hit->Track() >= trackcount)
			{
				cerr << "ERROR: Track number " << hit->Track() << " is out of range. [0.."
					<< trackcount << ")" << endl;
				continue;
			}
			Int_t particleindex = hit->Track();

			if (chamber >= 10)
			{
				hitX[chamber-10][particleindex] = hit->X();
				hitY[chamber-10][particleindex] = hit->Y();
				hitZ[chamber-10][particleindex] = hit->Z();
			}
		} // hits loop
		
		// Ok now go through the L0 information for this event and correlate
		// the L0 trigger records to the kine data.
		// This is done as follows: take a trigger record. Then for each kine track
		// calculate the distance between each hit of the kine track and corresponding
		// L0 trigger track fragment hit.
		// Then sum up the distances and divide by the number of hits matched.
		// This gives us a fit quality /Chi2 type parameter. The kine track that
		// has the smallest sum of differences is then chosen as the kine track
		// correlating to the current L0 trigger record being processed.
		for (Int_t i = 0; i < L0event->Array().GetEntriesFast(); i++)
		{
			if (L0event->Array().At(i)->IsA() != AliHLTMUONTriggerRecord::Class())
				continue;
			AliHLTMUONTriggerRecord* trigrec = static_cast<AliHLTMUONTriggerRecord*>(L0event->Array().At(i));
			
			// Find the best fitting kine track.
			Double_t bestFitQuality = 1e30;
			Int_t bestFitTrack = -1;
			for (Int_t kinetrack = 0; kinetrack < trackcount; kinetrack++)
			{
				Double_t sumOfDiffs = 0;
				Double_t hitsMatched = 0;
				for (Int_t j = 11; j <= 14; j++)
				{
					const TVector3& hit = trigrec->Hit(j);
					if (hit == TVector3(0,0,0)) continue;
					TVector3 hV(hitX[j-11][kinetrack], hitY[j-11][kinetrack], hitZ[j-11][kinetrack]);
					if (hV == TVector3(0,0,0)) continue;
					TVector3 diff = hV - hit;
					sumOfDiffs += diff.Mag2(); // Use the square of diff. More Chi^2 like properties.
					hitsMatched++;
				}
				
				// Now check the fit quality.
				if (hitsMatched <= 0) continue;
				Double_t fitQuality = sumOfDiffs / hitsMatched;
				if (fitQuality < bestFitQuality)
				{
					bestFitQuality = fitQuality;
					bestFitTrack = kinetrack;
				}
			}
			
			if (bestFitTrack < 0)
			{
				// No track was matched so we need to add a fake track record.
				Float_t args[7+4*3+5+4*3];
				args[0] = event;
				args[1] = -1;
				args[2] = 0;
				args[3] = 0;
				args[4] = 0;
				args[5] = 0;
				args[6] = 0;
				for (Int_t j = 0; j < 4; j++)
				{			
					args[7+j*3+0] = 0;
					args[7+j*3+1] = 0;
					args[7+j*3+2] = 0;
				}
				args[7+4*3+0] = trigrec->Sign();
				args[7+4*3+1] = trigrec->Px();
				args[7+4*3+2] = trigrec->Py();
				args[7+4*3+3] = trigrec->Pz();
				args[7+4*3+4] = -1;
				for (Int_t j = 0; j < 4; j++)
				{
					const TVector3& hit = trigrec->Hit(j+11);
					args[7+4*3+5+j*3+0] = hit.X();
					args[7+4*3+5+j*3+1] = hit.Y();
					args[7+4*3+5+j*3+2] = hit.Z();
				}
				table->Fill(args);
			}
			else
			{
				// Fill the details about the L0 track to the best fitting track info.
				L0sign[bestFitTrack] = trigrec->Sign();
				L0px[bestFitTrack] = trigrec->Px();
				L0py[bestFitTrack] = trigrec->Py();
				L0pz[bestFitTrack] = trigrec->Pz();
				L0fit[bestFitTrack] = bestFitQuality;
				for (Int_t j = 11; j <= 14; j++)
				{
					const TVector3& hit = trigrec->Hit(j);
					if (hit == TVector3(0,0,0)) continue;
					L0hitX[j-11][bestFitTrack] = hit.X();
					L0hitY[j-11][bestFitTrack] = hit.Y();
					L0hitZ[j-11][bestFitTrack] = hit.Z();
				}
			}
		}
		
		//cout << "Fill table" << endl;
		for (Int_t i = 0; i < trackcount; i++)
		{
			Float_t args[7+4*3+5+4*3];
			args[0] = event;
			args[1] = isPrimary[i];
			args[2] = pdgcode[i];
			args[3] = sign[i];
			args[4] = px[i];
			args[5] = py[i];
			args[6] = pz[i];
			for (Int_t j = 0; j < 4; j++)
			{			
				args[7+j*3+0] = hitX[j][i];
				args[7+j*3+1] = hitY[j][i];
				args[7+j*3+2] = hitZ[j][i];
			}
			args[7+4*3+0] = L0sign[i];
			args[7+4*3+1] = L0px[i];
			args[7+4*3+2] = L0py[i];
			args[7+4*3+3] = L0pz[i];
			args[7+4*3+4] = L0fit[i];
			for (Int_t j = 0; j < 4; j++)
			{			
				args[7+4*3+5+j*3+0] = L0hitX[j][i];
				args[7+4*3+5+j*3+1] = L0hitY[j][i];
				args[7+4*3+5+j*3+2] = L0hitZ[j][i];
			}
			table->Fill(args);
		}
		
	} // event loop

	TFile file("triggertable.root", "RECREATE");
	file.cd();
	table->Write(table->GetName(), TObject::kOverwrite);

	cout << "Done." << endl;
}
Commit	Line	Data
aa14645f	1	/**************************************************************************
	2	* This file is property of and copyright by the ALICE HLT Project *
	3	* All rights reserved. *
	4	* *
	5	* Primary Authors: *
	6	* Artur Szostak <artursz@iafrica.com> *
	7	* *
	8	* Permission to use, copy, modify and distribute this software and its *
	9	* documentation strictly for non-commercial purposes is hereby granted *
	10	* without fee, provided that the above copyright notice appears in all *
	11	* copies and that both the copyright notice and this permission notice *
	12	* appear in the supporting documentation. The authors make no claims *
	13	* about the suitability of this software for any purpose. It is *
	14	* provided "as is" without express or implied warranty. *
	15	**************************************************************************/
	16
	17	// Simple macro to generate N-tuple for performance analysis.
	18	// This macro must be compiled and run like so from within the aliroot command
	19	// prompt:
	20	// root [0] gSystem->Load("libAliHLTMUON.so");
	21	// root [0] .L MakeHitsTable.C+
	22
	23	#include "TVector3.h"
	24	#include "TSystem.h"
	25	#include "TROOT.h"
	26	#include "TParticle.h"
	27	#include "TArrayF.h"
	28	#include "TStopwatch.h"
	29	#include "TNtuple.h"
	30	#include "TFile.h"
	31	#include "TError.h"
	32
	33	#include "AliLoader.h"
	34	#include "AliRunLoader.h"
	35	#include "AliStack.h"
	36	#include "AliRun.h"
	37	#include "AliMUON.h"
	38	#include "AliMUONMCDataInterface.h"
	39	#include "AliMUONHit.h"
	40	#include "AliHLTMUONRootifierComponent.h"
	41	#include "AliHLTMUONMansoTrack.h"
	42
	43	#include <cstdlib>
	44	#include <vector>
	45	#include <iostream>
	46	using std::cout;
	47	using std::cerr;
	48	using std::endl;
	49
	50
	51	void MakeTriggerTable(
	52	Int_t firstEvent = 0,
	53	Int_t lastEvent = -1,
	54	const char* L0outputfile = "output_0x00000000.root"
	55	)
	56	{
	57	gSystem->Load("libAliHLTMUON.so");
	58	// Must pree load libAliHLTMUON.so before loading this macro and running it in compiled mode.
	59
	60	TString fieldnames = "event:isprimary:pdgcode:sign:px:py:pz";
	61	for (Int_t i = 11; i <= 14; i++)
	62	{
	63	fieldnames += ":x";
	64	fieldnames += i;
65	fieldnames += ":y";
66	fieldnames += i;
67	fieldnames += ":z";
68	fieldnames += i;
69	}
70	fieldnames += ":L0sign:L0px:L0py:L0pz:L0fit";
71	for (Int_t i = 11; i <= 14; i++)
72	{
73	fieldnames += ":L0x";
74	fieldnames += i;
75	fieldnames += ":L0y";
76	fieldnames += i;
77	fieldnames += ":L0z";
78	fieldnames += i;
79	}
80	TNtuple* table = new TNtuple("triggertable", "Table of triggers.", fieldnames);
81
82	TFile L0file(L0outputfile, "READ");
83
84	AliMUONMCDataInterface data;
85	AliStack* stack;
86
87	Int_t nEvents = data.NumberOfEvents();
88	if (lastEvent < 0) lastEvent = nEvents-1;
89	for (Int_t event = firstEvent; event <= lastEvent; event++)
90	{
91	cout << "Processing event: " << event;
92
93	char buf[1024];
94	char* str = &buf[0];
95	sprintf(str, "AliHLTMUONEvent;%d", event+1);
96	AliHLTMUONEvent* L0event = dynamic_cast<AliHLTMUONEvent*>( L0file.Get(str) );
97	if (L0event == NULL)
98	{
99	cout << endl;
100	cerr << "ERROR: Could not find " << str << " in " << L0outputfile << endl;
101	continue;
102	}
103
104	data.GetEvent(event);
105
106	stack = data.Stack(event);
107	if (stack == NULL)
108	{
109	cout << endl;
110	cerr << "ERROR: Stack is NULL" << endl;
111	continue;
112	}
113
114	Int_t trackcount = data.NumberOfParticles();
115	cout << "\ttrackcount = " << trackcount << endl;
116
117	TArrayF isPrimary(trackcount);
118	TArrayF pdgcode(trackcount);
119	TArrayF sign(trackcount);
120	TArrayF px(trackcount);
121	TArrayF py(trackcount);
122	TArrayF pz(trackcount);
123	TArrayF L0sign(trackcount);
124	TArrayF L0px(trackcount);
125	TArrayF L0py(trackcount);
126	TArrayF L0pz(trackcount);
127	TArrayF L0fit(trackcount);
128
129	//cout << "Fill particle data" << endl;
130	for (Int_t i = 0; i < trackcount; i++)
131	{
132	TParticle* p = data.Particle(i);
133	isPrimary[i] = stack->IsPhysicalPrimary(i) ? 1 : 0;
134	pdgcode[i] = p->GetPdgCode();
135	if (p->GetPDG() != NULL)
136	{
137	Double_t charge = p->GetPDG()->Charge();
138	if (charge > 0)
139	sign[i] = 1;
140	else if (charge < 0)
141	sign[i] = -1;
142	else
143	sign[i] = 0;
144	}
145	else
146	{
147	sign[i] = 0;
148	cerr << "ERROR: Could not get the PDG information." << endl;
149	}
150	px[i] = p->Px();
151	py[i] = p->Py();
152	pz[i] = p->Pz();
153	L0sign[i] = 0;
154	L0px[i] = 0;
155	L0py[i] = 0;
156	L0pz[i] = 0;
157	L0fit[i] = -1;
158	}
159
160	TArrayF hitX[4];
161	TArrayF hitY[4];
162	TArrayF hitZ[4];
163	TArrayF L0hitX[4];
164	TArrayF L0hitY[4];
165	TArrayF L0hitZ[4];
166	for (Int_t i = 0; i < 4; i++)
167	{
168	hitX[i].Set(trackcount);
169	hitY[i].Set(trackcount);
170	hitZ[i].Set(trackcount);
171	L0hitX[i].Set(trackcount);
172	L0hitY[i].Set(trackcount);
173	L0hitZ[i].Set(trackcount);
174	for (Int_t j = 0; j < trackcount; j++)
175	{
176	hitX[i][j] = 0;
177	hitY[i][j] = 0;
178	hitZ[i][j] = 0;
179	L0hitX[i][j] = 0;
180	L0hitY[i][j] = 0;
181	L0hitZ[i][j] = 0;
182	}
183	}
184
185	//cout << "Fill hits" << endl;
186	for (Int_t i = 0; i < data.NumberOfTracks(); i++)
187	for (Int_t j = 0; j < data.NumberOfHits(i); j++)
188	{
189	AliMUONHit* hit = data.Hit(i, j);
190	Int_t chamber = hit->Chamber() - 1;
191	if (chamber < 0 \|\| chamber >= 14)
192	{
193	cerr << "ERROR: Chamber number " << chamber << " is out of range." << endl;
194	continue;
195	}
196
197	//cout << "hit->Track() = " << hit->Track() << endl;
198	if (hit->Track() < 0 \|\| hit->Track() >= trackcount)
199	{
200	cerr << "ERROR: Track number " << hit->Track() << " is out of range. [0.."
201	<< trackcount << ")" << endl;
202	continue;
203	}
204	Int_t particleindex = hit->Track();
205
206	if (chamber >= 10)
207	{
208	hitX[chamber-10][particleindex] = hit->X();
209	hitY[chamber-10][particleindex] = hit->Y();
210	hitZ[chamber-10][particleindex] = hit->Z();
211	}
212	} // hits loop
213
214	// Ok now go through the L0 information for this event and correlate
215	// the L0 trigger records to the kine data.
216	// This is done as follows: take a trigger record. Then for each kine track
217	// calculate the distance between each hit of the kine track and corresponding
218	// L0 trigger track fragment hit.
219	// Then sum up the distances and divide by the number of hits matched.
220	// This gives us a fit quality /Chi2 type parameter. The kine track that
221	// has the smallest sum of differences is then chosen as the kine track
222	// correlating to the current L0 trigger record being processed.
223	for (Int_t i = 0; i < L0event->Array().GetEntriesFast(); i++)
224	{
225	if (L0event->Array().At(i)->IsA() != AliHLTMUONTriggerRecord::Class())
226	continue;
227	AliHLTMUONTriggerRecord* trigrec = static_cast<AliHLTMUONTriggerRecord*>(L0event->Array().At(i));
228
229	// Find the best fitting kine track.
230	Double_t bestFitQuality = 1e30;
231	Int_t bestFitTrack = -1;
232	for (Int_t kinetrack = 0; kinetrack < trackcount; kinetrack++)
233	{
234	Double_t sumOfDiffs = 0;
235	Double_t hitsMatched = 0;
236	for (Int_t j = 11; j <= 14; j++)
237	{
238	const TVector3& hit = trigrec->Hit(j);
239	if (hit == TVector3(0,0,0)) continue;
240	TVector3 hV(hitX[j-11][kinetrack], hitY[j-11][kinetrack], hitZ[j-11][kinetrack]);
241	if (hV == TVector3(0,0,0)) continue;
242	TVector3 diff = hV - hit;
243	sumOfDiffs += diff.Mag2(); // Use the square of diff. More Chi^2 like properties.
244	hitsMatched++;
245	}
246
247	// Now check the fit quality.
248	if (hitsMatched <= 0) continue;
249	Double_t fitQuality = sumOfDiffs / hitsMatched;
250	if (fitQuality < bestFitQuality)
251	{
252	bestFitQuality = fitQuality;
253	bestFitTrack = kinetrack;
254	}
255	}
256
257	if (bestFitTrack < 0)
258	{
259	// No track was matched so we need to add a fake track record.
260	Float_t args[7+43+5+43];
261	args[0] = event;
262	args[1] = -1;
263	args[2] = 0;
264	args[3] = 0;
265	args[4] = 0;
266	args[5] = 0;
267	args[6] = 0;
268	for (Int_t j = 0; j < 4; j++)
269	{
270	args[7+j*3+0] = 0;
271	args[7+j*3+1] = 0;
272	args[7+j*3+2] = 0;
273	}
274	args[7+4*3+0] = trigrec->Sign();
275	args[7+4*3+1] = trigrec->Px();
276	args[7+4*3+2] = trigrec->Py();
277	args[7+4*3+3] = trigrec->Pz();
278	args[7+4*3+4] = -1;
279	for (Int_t j = 0; j < 4; j++)
280	{
281	const TVector3& hit = trigrec->Hit(j+11);
282	args[7+43+5+j3+0] = hit.X();
283	args[7+43+5+j3+1] = hit.Y();
284	args[7+43+5+j3+2] = hit.Z();
285	}
286	table->Fill(args);
287	}
288	else
289	{
290	// Fill the details about the L0 track to the best fitting track info.
291	L0sign[bestFitTrack] = trigrec->Sign();
292	L0px[bestFitTrack] = trigrec->Px();
293	L0py[bestFitTrack] = trigrec->Py();
294	L0pz[bestFitTrack] = trigrec->Pz();
295	L0fit[bestFitTrack] = bestFitQuality;
296	for (Int_t j = 11; j <= 14; j++)
297	{
298	const TVector3& hit = trigrec->Hit(j);
299	if (hit == TVector3(0,0,0)) continue;
300	L0hitX[j-11][bestFitTrack] = hit.X();
301	L0hitY[j-11][bestFitTrack] = hit.Y();
302	L0hitZ[j-11][bestFitTrack] = hit.Z();
303	}
304	}
305	}
306
307	//cout << "Fill table" << endl;
308	for (Int_t i = 0; i < trackcount; i++)
309	{
310	Float_t args[7+43+5+43];
311	args[0] = event;
312	args[1] = isPrimary[i];
313	args[2] = pdgcode[i];
314	args[3] = sign[i];
315	args[4] = px[i];
316	args[5] = py[i];
317	args[6] = pz[i];
318	for (Int_t j = 0; j < 4; j++)
319	{
320	args[7+j*3+0] = hitX[j][i];
321	args[7+j*3+1] = hitY[j][i];
322	args[7+j*3+2] = hitZ[j][i];
323	}
324	args[7+4*3+0] = L0sign[i];
325	args[7+4*3+1] = L0px[i];
326	args[7+4*3+2] = L0py[i];
327	args[7+4*3+3] = L0pz[i];
328	args[7+4*3+4] = L0fit[i];
329	for (Int_t j = 0; j < 4; j++)
330	{
331	args[7+43+5+j3+0] = L0hitX[j][i];
332	args[7+43+5+j3+1] = L0hitY[j][i];
333	args[7+43+5+j3+2] = L0hitZ[j][i];
334	}
335	table->Fill(args);
336	}
337
338	} // event loop
339
340	TFile file("triggertable.root", "RECREATE");
341	file.cd();
342	table->Write(table->GetName(), TObject::kOverwrite);
343
344	cout << "Done." << endl;
345	}