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5c6503dc | 1 | /************************************************************************** |
2 | * This file is property of and copyright by the ALICE HLT Project * | |
3 | * All rights reserved. * | |
4 | * * | |
5 | * Primary Authors: Oystein Djuvsland * | |
6 | * * | |
7 | * Permission to use, copy, modify and distribute this software and its * | |
8 | * documentation strictly for non-commercial purposes is hereby granted * | |
9 | * without fee, provided that the above copyright notice appears in all * | |
10 | * copies and that both the copyright notice and this permission notice * | |
11 | * appear in the supporting documentation. The authors make no claims * | |
12 | * about the suitability of this software for any purpose. It is * | |
13 | * provided "as is" without express or implied warranty. * | |
14 | **************************************************************************/ | |
15 | ||
16 | #include "AliHLTPHOSBaselineAnalyzer.h" | |
17 | #include "AliHLTPHOSBase.h" | |
18 | #include "AliHLTPHOSBaseline.h" | |
19 | #include "AliHLTPHOSValidCellDataStruct.h" | |
20 | #include "AliHLTPHOSSanityInspector.h" | |
21 | #include "AliHLTPHOSConstants.h" | |
22 | ||
23 | #include "AliHLTPHOSRcuCellEnergyDataStruct.h" | |
24 | #include "TTree.h" | |
25 | #include "TClonesArray.h" | |
26 | #include "TFile.h" | |
27 | #include "TH1F.h" | |
28 | #include "TH2F.h" | |
29 | ||
30 | using namespace PhosHLTConst; | |
31 | ||
32 | //ClassImp(AliHLTPHOSBaselineAnalyzer); | |
33 | ||
34 | AliHLTPHOSBaselineAnalyzer::AliHLTPHOSBaselineAnalyzer() : | |
35 | AliHLTPHOSBase(), | |
36 | fSampleStart(5), | |
37 | fMaxSignal(0), | |
38 | fMaxCrazyDifference(0), | |
39 | fTreePtr(0), | |
40 | fSanityInspector(0) | |
41 | { | |
42 | fSanityInspector = new AliHLTPHOSSanityInspector(); | |
43 | ||
44 | char histName[128]; | |
45 | char histTitle[128]; | |
46 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
47 | { | |
48 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
49 | { | |
50 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
51 | { | |
52 | sprintf(histName, "sample_value_channel_x_col_%d_z_row_%d_gain_%d", x, z, gain); | |
53 | sprintf(histTitle, "Distribution of Sample Values for Channel X: %d - Z: %d - Gain: %d", x, z, gain); | |
54 | fChannelHistogramsPtr[x][z][gain] = new TH1F(histName, histTitle, 1024, 0, 1023); | |
55 | sprintf(histName, "fixed_sample_value_channel_x_col_%d_z_row_%d_gain_%d", x, z, gain); | |
56 | sprintf(histTitle, "Distribution of Corrected Sample Values for Channel X: %d - Z: %d - Gain: %d", x, z, gain); | |
57 | fFixedChannelHistogramsPtr[x][z][gain] = new TH1F(histName, histTitle, 1024, 0, 1023); | |
58 | } | |
59 | } | |
60 | } | |
61 | ||
62 | fRMSHistogramPtr = new TH1F("RMSHist", "RMS Values for All Channels", 1023, 0, 1023); | |
63 | fRMSMapHighGainHistogramPtr = new TH2F("RMSHGMapHist", "Map of RMS Values for High Gain Channels", 64, 0, 63, 56, 0, 55); | |
64 | fRMSMapLowGainHistogramPtr = new TH2F("RMSLGMapHist", "Map of RMS Values for Low Gain Channels", 64, 0, 63, 56, 0, 55); | |
65 | ||
66 | fFixedRMSHistogramPtr = new TH1F("fixedRMSHist", "Corrected RMS Values for All Channels", 1023, 0, 1023); | |
67 | fFixedRMSMapHighGainHistogramPtr = new TH2F("fixedRMSHGMapHist", "Map of Corrected RMS Values for High Gain Channels", 64, 0, 63, 56, 0, 55); | |
68 | fFixedRMSMapLowGainHistogramPtr = new TH2F("fixedRMSLGMapHist", "Map of Corrected RMS Values for Low Gain Channels", 64, 0, 63, 56, 0, 55); | |
69 | ||
70 | ResetBaselines(); | |
71 | ResetAccumulatedBaselines(); | |
72 | } | |
73 | ||
74 | AliHLTPHOSBaselineAnalyzer::~AliHLTPHOSBaselineAnalyzer() | |
75 | { | |
76 | } | |
77 | ||
78 | ||
79 | void | |
80 | AliHLTPHOSBaselineAnalyzer::CalculateRcuBaselines(AliHLTPHOSRcuCellEnergyDataStruct* rcuData) | |
81 | { | |
82 | Int_t xOff = rcuData->fRcuX * N_XCOLUMNS_RCU; | |
83 | Int_t zOff = rcuData->fRcuZ * N_ZROWS_RCU; | |
84 | Float_t baseline = 0; | |
85 | ||
86 | AliHLTPHOSValidCellDataStruct *data = rcuData->fValidData; | |
87 | ||
88 | for(Int_t i = 0; i < rcuData->fCnt; i++) | |
89 | { | |
90 | baseline = CalculateChannelBaseline(&(data[i]), xOff, zOff); | |
91 | if(!(baseline < 0)) | |
92 | { | |
93 | CalculateAccumulatedChannelBaseline(data[i].fX + xOff, data[i].fZ + zOff, data[i].fGain, baseline); | |
94 | } | |
95 | } | |
96 | } | |
97 | ||
98 | ||
99 | ||
100 | Float_t | |
101 | AliHLTPHOSBaselineAnalyzer::CalculateChannelBaseline(AliHLTPHOSValidCellDataStruct *cellData, Int_t xOff, Int_t zOff) | |
102 | { | |
103 | Int_t crazyness = 0; | |
104 | Int_t total = 0; | |
105 | Int_t *data = cellData->fData; | |
106 | for(Int_t i = fSampleStart; i < fNSamples; i++) | |
107 | { | |
108 | /* | |
109 | if(cellData->fGain == 0) | |
110 | { | |
111 | fChannelLowGainHistogramsPtr[cellData->fX + xOff][cellData->fZ + zOff]->Fill(data[i]); | |
112 | } | |
113 | else | |
114 | { | |
115 | fChannelHighGainHistogramsPtr[cellData->fX + xOff][cellData->fZ + zOff]->Fill(data[i]); | |
116 | } | |
117 | */ | |
118 | fChannelHistogramsPtr[cellData->fX + xOff][cellData->fZ + zOff][cellData->fGain]->Fill(data[i]); | |
119 | } | |
120 | ||
121 | if(cellData->fCrazyness == 0) | |
122 | { | |
123 | crazyness = fSanityInspector->CheckAndHealInsanity(data, fNSamples); | |
124 | } | |
125 | if(crazyness < 0) | |
126 | return crazyness; | |
127 | ||
128 | for(Int_t j = fSampleStart; j < fNSamples; j++) | |
129 | { | |
130 | if(data[j] > fMaxSignal) | |
131 | return -data[j]; | |
132 | ||
133 | fFixedChannelHistogramsPtr[cellData->fX + xOff][cellData->fZ + zOff][cellData->fGain]->Fill(data[j]); | |
134 | total += data[j]; | |
135 | } | |
136 | fBaselines[cellData->fX + xOff][cellData->fZ + zOff][cellData->fGain] = (float)total / (fNSamples - fSampleStart); | |
137 | ||
138 | return (float)total/(fNSamples - fSampleStart); | |
139 | } | |
140 | void | |
141 | AliHLTPHOSBaselineAnalyzer::CalculateAccumulatedChannelBaseline(Int_t x, Int_t z, Int_t gain, Float_t baseline) | |
142 | { | |
143 | Float_t oldBaseline = fAccumulatedBaselines[x][z][gain][0]; | |
144 | Float_t nEntries = fAccumulatedBaselines[x][z][gain][1]; | |
145 | ||
146 | Float_t total = nEntries * oldBaseline + baseline; | |
147 | nEntries++; | |
148 | fAccumulatedBaselines[x][z][gain][0] = total / nEntries; | |
149 | fAccumulatedBaselines[x][z][gain][1] = nEntries; | |
150 | } | |
151 | ||
152 | void | |
153 | AliHLTPHOSBaselineAnalyzer::CalculateChannelsBaselineRMS() | |
154 | { | |
155 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
156 | { | |
157 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
158 | { | |
159 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
160 | { | |
161 | fRMSHistogramPtr->Fill(fChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
162 | if(gain == 1) | |
163 | fRMSMapHighGainHistogramPtr->SetBinContent(x, z, fChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
164 | else | |
165 | fRMSMapLowGainHistogramPtr->SetBinContent(x, z, fChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
166 | ||
167 | fFixedRMSHistogramPtr->Fill(fFixedChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
168 | if(gain == 1) | |
169 | fFixedRMSMapHighGainHistogramPtr->SetBinContent(x, z, fFixedChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
170 | else | |
171 | fFixedRMSMapLowGainHistogramPtr->SetBinContent(x, z, fFixedChannelHistogramsPtr[x][z][gain]->GetRMS()); | |
172 | } | |
173 | } | |
174 | } | |
175 | } | |
176 | ||
177 | ||
178 | void | |
179 | AliHLTPHOSBaselineAnalyzer::SetRootObjects(TTree *tree, TClonesArray *baselineArray) | |
180 | { | |
181 | fTreePtr = tree; | |
182 | fBaselineArrayPtr = baselineArray; | |
183 | tree->Branch("Baselines", &fBaselineArrayPtr); | |
184 | } | |
185 | ||
186 | ||
187 | void | |
188 | AliHLTPHOSBaselineAnalyzer::FillTree() | |
189 | { | |
190 | AliHLTPHOSBaseline *baseline; | |
191 | Int_t n = 0; | |
192 | ||
193 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
194 | { | |
195 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
196 | { | |
197 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
198 | { | |
199 | baseline = (AliHLTPHOSBaseline*)fBaselineArrayPtr->New(n); | |
200 | baseline->SetX(x); | |
201 | baseline->SetZ(z); | |
202 | baseline->SetGain(gain); | |
203 | baseline->SetBaseline(fAccumulatedBaselines[x][z][gain][0]); | |
204 | baseline->SetEntries((Int_t)fAccumulatedBaselines[x][z][gain][1]); | |
205 | n++; | |
206 | } | |
207 | } | |
208 | } | |
209 | fTreePtr->Fill(); | |
210 | fBaselineArrayPtr->Clear(); | |
211 | } | |
212 | ||
213 | void | |
214 | AliHLTPHOSBaselineAnalyzer::WriteAccumulatedBaselines(const Char_t* filename) | |
215 | { | |
216 | TFile *baselineFile = TFile::Open(filename, "recreate"); | |
217 | fTreePtr->Write(); | |
218 | baselineFile->Close(); | |
219 | } | |
220 | ||
221 | void | |
222 | AliHLTPHOSBaselineAnalyzer::WriteChannelHistograms(const Char_t* filename) | |
223 | { | |
224 | TFile *file = TFile::Open(filename, "recreate"); | |
225 | ||
226 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
227 | { | |
228 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
229 | { | |
230 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
231 | { | |
232 | fChannelHistogramsPtr[x][z][gain]->Write(); | |
233 | } | |
234 | } | |
235 | } | |
236 | file->Close(); | |
237 | } | |
238 | ||
239 | ||
240 | void | |
241 | AliHLTPHOSBaselineAnalyzer::WriteRMSHistogram(const Char_t* filename) | |
242 | { | |
243 | TFile *file = TFile::Open(filename, "recreate"); | |
244 | fRMSHistogramPtr->Write(); | |
245 | fRMSMapHighGainHistogramPtr->Write(); | |
246 | fRMSMapLowGainHistogramPtr->Write(); | |
247 | ||
248 | fFixedRMSHistogramPtr->Write(); | |
249 | fFixedRMSMapHighGainHistogramPtr->Write(); | |
250 | fFixedRMSMapLowGainHistogramPtr->Write(); | |
251 | ||
252 | file->Close(); | |
253 | } | |
254 | ||
255 | void | |
256 | AliHLTPHOSBaselineAnalyzer::ResetBaselines() | |
257 | { | |
258 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
259 | { | |
260 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
261 | { | |
262 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
263 | { | |
264 | fBaselines[x][z][gain] = 0; | |
265 | } | |
266 | } | |
267 | } | |
268 | } | |
269 | ||
270 | void | |
271 | AliHLTPHOSBaselineAnalyzer::ResetChannelCount() | |
272 | { | |
273 | fChannelCount = 0; | |
274 | } | |
275 | ||
276 | void | |
277 | AliHLTPHOSBaselineAnalyzer::ResetAccumulatedBaselines() | |
278 | { | |
279 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
280 | { | |
281 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
282 | { | |
283 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
284 | { | |
285 | fAccumulatedBaselines[x][z][gain][0] = 0; | |
286 | fAccumulatedBaselines[x][z][gain][1] = 0; | |
287 | } | |
288 | } | |
289 | } | |
290 | } | |
291 | ||
292 | void | |
293 | AliHLTPHOSBaselineAnalyzer::SetMaxCrazyDifference(Int_t diff) | |
294 | { | |
295 | fMaxCrazyDifference = diff; | |
296 | fSanityInspector->SetMaxDifference(diff); | |
297 | } | |
298 | ||
299 | ||
300 | ||
301 | /* | |
302 | void | |
303 | AliHLTPHOSBaselineAnalyzer::SetChannelsHistograms(TH1F *channelLowGainHistArray[N_XCOLUMNS_MOD][N_ZROWS_MOD], TH1F *channelHighGainHistArray[N_XCOLUMNS_MOD][N_ZROWS_MOD]) | |
304 | { | |
305 | for(Int_t x = 0; x < N_XCOLUMNS_MOD; x++) | |
306 | { | |
307 | for(Int_t z = 0; z < N_ZROWS_MOD; z++) | |
308 | { | |
309 | for(Int_t gain = 0; gain < N_GAINS; gain++) | |
310 | { | |
311 | fChannelLowGainHistogramsPtr[x][z][gain] = channelLowGainHistArray[x][z][gain]; | |
312 | fChannelHighGainHistogramsPtr[x][z][gain] = channelHighGainHistArray[x][z][gain]; | |
313 | } | |
314 | } | |
315 | } | |
316 | } | |
317 | */ |