1 | // ArchTOIPipe (C) CEA/DAPNIA/SPP IN2P3/LAL
|
---|
2 | // Eric Aubourg
|
---|
3 | // Christophe Magneville
|
---|
4 | // Reza Ansari
|
---|
5 | #include "config.h"
|
---|
6 |
|
---|
7 | #include "array.h"
|
---|
8 | #include "simcleaner.h"
|
---|
9 | #include <math.h>
|
---|
10 | #include "toimanager.h"
|
---|
11 | #include "pexceptions.h"
|
---|
12 | #include "ctimer.h"
|
---|
13 |
|
---|
14 | #include "flagtoidef.h"
|
---|
15 |
|
---|
16 | SimpleCleaner::SimpleCleaner(int wsz, int nbw)
|
---|
17 |
|
---|
18 | {
|
---|
19 | SetMeanSigWindow(wsz, nbw);
|
---|
20 | SetCleanForMeanThrNSig();
|
---|
21 | SetFlaggingThrNSig();
|
---|
22 |
|
---|
23 | SetRange();
|
---|
24 | SetFlagMask();
|
---|
25 |
|
---|
26 | FillMeanSigNTuple();
|
---|
27 | char* noms[] = {"sn","mean","sigma"};
|
---|
28 | meansignt = new NTuple(3,noms);
|
---|
29 |
|
---|
30 | totnscount = 0;
|
---|
31 | totnbblock = 0;
|
---|
32 | ns_outofrange = ns_flag1p = ns_flag2p = ns_flag1m = ns_flag2m = 0;
|
---|
33 | ns_inflagged = 0;
|
---|
34 | ns_cleannsig = 0;
|
---|
35 | gl_sum = gl_sum2 = 0.; ns_glms = 0;
|
---|
36 | }
|
---|
37 |
|
---|
38 | SimpleCleaner::~SimpleCleaner()
|
---|
39 | {
|
---|
40 | }
|
---|
41 |
|
---|
42 | void SimpleCleaner::SetMeanSigWindow(int wsz, int nbw)
|
---|
43 | {
|
---|
44 | mWSz = (wsz > 8) ? wsz : 8;
|
---|
45 | mNbW = (nbw > 3) ? nbw : 3;
|
---|
46 | }
|
---|
47 |
|
---|
48 | void SimpleCleaner::PrintStatus(::ostream & os)
|
---|
49 | {
|
---|
50 | os << "\n ------------------------------------------------------ \n"
|
---|
51 | << " SimpleCleaner::PrintStatus() - MeanWSize= " << mWSz << " mNbW="
|
---|
52 | << mNbW << " Range/Min=" << range_min << " Max=" << range_max << endl;
|
---|
53 | os << " CleanForMeanThrNSig = " << nsigclean << " NSig1= " << nsig1
|
---|
54 | << " NSig2 (" << min_npt2 << "pts)= " << nsig2 << endl;
|
---|
55 | TOIProcessor::PrintStatus(os);
|
---|
56 | os << " ProcessedSampleCount=" << ProcessedSampleCount()
|
---|
57 | << " NS_InFlagged= " << ns_inflagged
|
---|
58 | << " NS_OutOfRange= " << ns_outofrange
|
---|
59 | << " NS_CleanNSig= " << ns_cleannsig << endl
|
---|
60 | << " NS_Flag1(+)= " << ns_flag1p << " NS_Flag2(+)= " << ns_flag2p
|
---|
61 | << " NS_Flag1(-)= " << ns_flag1m << " NS_Flag2(-)= " << ns_flag2m << endl;
|
---|
62 | os << " NS_GlobMeanSig= " << ns_glms << " GlMean()= " << GetGlMean()
|
---|
63 | << " GlSigma2() " << GetGlSigma2() << endl;
|
---|
64 | os << " ------------------------------------------------------ " << endl;
|
---|
65 | }
|
---|
66 |
|
---|
67 | void SimpleCleaner::init()
|
---|
68 | {
|
---|
69 | cout << "SimpleCleaner::init" << endl;
|
---|
70 | declareInput("in");
|
---|
71 | declareOutput("out");
|
---|
72 | declareOutput("mean");
|
---|
73 | declareOutput("sigma");
|
---|
74 | name = "SimpleCleaner";
|
---|
75 | }
|
---|
76 |
|
---|
77 | void SimpleCleaner::run()
|
---|
78 | {
|
---|
79 | int snb = getMinIn();
|
---|
80 | int sne = getMaxIn();
|
---|
81 |
|
---|
82 | bool fgout = checkOutputTOIIndex(0);
|
---|
83 | bool fgmean = checkOutputTOIIndex(1);
|
---|
84 | bool fgsig = checkOutputTOIIndex(2);
|
---|
85 |
|
---|
86 | if (!checkInputTOIIndex(0)) {
|
---|
87 | cerr << " SimpleCleaner::run() - Input TOI (in) not connected! "
|
---|
88 | << endl;
|
---|
89 | throw ParmError("SimpleCleaner::run() Input TOI (in) not connected!");
|
---|
90 | }
|
---|
91 |
|
---|
92 | cout << " SimpleCleaner::run() SNRange=" << snb << " - " << sne << endl;
|
---|
93 |
|
---|
94 | try {
|
---|
95 |
|
---|
96 | // Vecteurs pour les donnees et les sorties
|
---|
97 | int wsize = mWSz;
|
---|
98 | int hisblk = mNbW;
|
---|
99 | int vecsize = mWSz*mNbW;
|
---|
100 | Vector vinhist(vecsize);
|
---|
101 | TVector<uint_8> vfghist(vecsize);
|
---|
102 |
|
---|
103 | Vector sumx(mNbW);
|
---|
104 | Vector sumx2(mNbW);
|
---|
105 | TVector<int_4> nbx(mNbW);
|
---|
106 |
|
---|
107 | // Variables diverses
|
---|
108 | int k,kb,kbm,j,klast;
|
---|
109 | klast = snb-1;
|
---|
110 | totnbblock = 0;
|
---|
111 |
|
---|
112 |
|
---|
113 | int ns_flg2p_last = 0;
|
---|
114 | int ns_flg2m_last = 0;
|
---|
115 |
|
---|
116 | // Moyenne et sigma courant
|
---|
117 | double cur_mean = 0.;
|
---|
118 | double cur_sig = 0.;
|
---|
119 |
|
---|
120 | double last_sum = 0.;
|
---|
121 | double last_sum2 = 0.;
|
---|
122 |
|
---|
123 | // Boucle sur les sampleNum
|
---|
124 | // 1ere partie, on traite par paquets de wsize
|
---|
125 | int nblk = (sne-snb+1)/wsize;
|
---|
126 | for(kb=0; kb<nblk; kb++) {
|
---|
127 | k = kb*wsize+snb;
|
---|
128 | kbm = kb%hisblk;
|
---|
129 | // Lecture d'un bloc de donnees
|
---|
130 | Vector vin( vinhist(Range(kbm*wsize, 0, wsize) ) );
|
---|
131 | TVector<uint_8> vfg( vfghist(Range(kbm*wsize, 0, wsize) ) );
|
---|
132 |
|
---|
133 | getData(0, k, wsize, vin.Data(), vfg.Data());
|
---|
134 | double nok = 0.;
|
---|
135 | double sum = 0.;
|
---|
136 | double sum2 = 0.;
|
---|
137 | double cleanthrmin = range_min;
|
---|
138 | double cleanthrmax = range_max;
|
---|
139 | if ((kb > mNbW/2) && ( ns_glms > 3*wsize) ) {
|
---|
140 | cleanthrmin = cur_mean-nsigclean*cur_sig;
|
---|
141 | cleanthrmax = cur_mean+nsigclean*cur_sig;
|
---|
142 | }
|
---|
143 | for(j=0; j<wsize; j++) {
|
---|
144 | double x = vin(j);
|
---|
145 | if ((vfg(j)&flag_mask)) { ns_inflagged++; continue; }
|
---|
146 | if ((x > range_max) || (x < range_min) ) continue;
|
---|
147 | if ((x > cleanthrmax) || (x < cleanthrmin) ) {
|
---|
148 | ns_cleannsig++;
|
---|
149 | continue;
|
---|
150 | }
|
---|
151 | sum += x; sum2 += x*x; nok++;
|
---|
152 | }
|
---|
153 | if (nok > 0) {
|
---|
154 | gl_sum += (sum - last_sum);
|
---|
155 | gl_sum2 += (sum2 - last_sum2);
|
---|
156 | ns_glms += nok;
|
---|
157 | last_sum = sum; last_sum2 = sum2;
|
---|
158 | }
|
---|
159 | else {
|
---|
160 | sum = cur_mean; sum2 = cur_mean*cur_mean;
|
---|
161 | nok = 1.;
|
---|
162 | }
|
---|
163 | sumx(kbm) = sum;
|
---|
164 | sumx2(kbm) = sum2;
|
---|
165 | nbx(kbm) = nok;
|
---|
166 | sum = sumx.Sum();
|
---|
167 | sum2 = sumx2.Sum();
|
---|
168 | nok = nbx.Sum();
|
---|
169 | if (nok > 0) {
|
---|
170 | cur_mean = sum/(double)nok;
|
---|
171 | cur_sig = sum2/(double)nok-cur_mean*cur_mean;
|
---|
172 | cur_sig = (cur_sig > 0.) ? sqrt(cur_sig) : 0.;
|
---|
173 | }
|
---|
174 |
|
---|
175 | if (kb < mNbW/2) continue;
|
---|
176 |
|
---|
177 | Vector vinc;
|
---|
178 | TVector<uint_8> vfgc;
|
---|
179 |
|
---|
180 | int kbs = kb-mNbW/2;
|
---|
181 | k = kbs*wsize+snb;
|
---|
182 | if (kb == nblk-1) {
|
---|
183 | int wszt = wsize*(kb+1-kbs);
|
---|
184 | vinc.ReSize(wszt);
|
---|
185 | vfgc.ReSize(wszt);
|
---|
186 | int jb = 0;
|
---|
187 | for(int kbsc=kbs; kbsc<nblk; kbsc++) {
|
---|
188 | vinc(Range(jb*wsize, 0, wsize)) =
|
---|
189 | vinhist(Range((kbsc%hisblk)*wsize, 0, wsize) ) ;
|
---|
190 | vfgc(Range(jb*wsize, 0, wsize)) =
|
---|
191 | vfghist(Range((kbsc%hisblk)*wsize, 0, wsize) ) ;
|
---|
192 | jb++;
|
---|
193 | }
|
---|
194 | wsize = wszt;
|
---|
195 | }
|
---|
196 | else {
|
---|
197 | vinc.Share( vinhist(Range((kbs%hisblk)*wsize, 0, wsize)) ) ;
|
---|
198 | vfgc.Share( vfghist(Range((kbs%hisblk)*wsize, 0, wsize)) ) ;
|
---|
199 | }
|
---|
200 |
|
---|
201 | Vector vout(wsize);
|
---|
202 |
|
---|
203 | if (fgmean) { // Sortie valeur moyenne courante
|
---|
204 | vout = cur_mean;
|
---|
205 | putData(1, k, wsize, vout.Data());
|
---|
206 | }
|
---|
207 | if (fgsig) { // Sortie sigma courante
|
---|
208 | vout = cur_sig;
|
---|
209 | putData(2, k, wsize, vout.Data());
|
---|
210 | }
|
---|
211 |
|
---|
212 | if (fg_meansignt) { // Remplissage du NTuple mean-sigma
|
---|
213 | float xnt[5];
|
---|
214 | xnt[0] = k;
|
---|
215 | xnt[1] = cur_mean;
|
---|
216 | xnt[2] = cur_sig;
|
---|
217 | meansignt->Fill(xnt);
|
---|
218 | }
|
---|
219 |
|
---|
220 | if (!fgout) {
|
---|
221 | klast+=wsize;
|
---|
222 | totnscount+=wsize;
|
---|
223 | totnbblock++;
|
---|
224 | continue;
|
---|
225 | }
|
---|
226 |
|
---|
227 | // Calcul des flags en sortie
|
---|
228 | for(j=0; j<wsize; j++) {
|
---|
229 | double x = vinc(j);
|
---|
230 | if ((x > range_max) || (x < range_min) ) {
|
---|
231 | ns_outofrange++; vfgc(j) |= FlgToiOut;
|
---|
232 | }
|
---|
233 | if (x > cur_mean) { // Superieur a mean
|
---|
234 | ns_flg2m_last = 0;
|
---|
235 | if (x > cur_mean+nsig2*cur_sig) ns_flg2p_last++;
|
---|
236 | else ns_flg2p_last = 0;
|
---|
237 | if (x > cur_mean+nsig1*cur_sig) {
|
---|
238 | ns_flag1p++; vfgc(j) |= FlgToiSpike;
|
---|
239 | }
|
---|
240 | if (ns_flg2p_last == min_npt2) {
|
---|
241 | int jj0 = j-ns_flg2p_last+1;
|
---|
242 | if (jj0 < 0) jj0 = 0;
|
---|
243 | for(int jj = jj0; jj<=j; jj++) {
|
---|
244 | ns_flag2p++; vfgc(jj) |= FlgToiSpike;
|
---|
245 | }
|
---|
246 | }
|
---|
247 | else if (ns_flg2p_last > min_npt2) {
|
---|
248 | ns_flag2p++; vfgc(j) |= FlgToiSpike;
|
---|
249 | }
|
---|
250 | }
|
---|
251 | else { // Inferieur a mean
|
---|
252 | ns_flg2p_last = 0;
|
---|
253 | if (x < cur_mean-nsig2*cur_sig) ns_flg2m_last++;
|
---|
254 | else ns_flg2m_last = 0;
|
---|
255 | if (x < cur_mean-nsig1*cur_sig) {
|
---|
256 | ns_flag1m++; vfgc(j) |= FlgToiSpike;
|
---|
257 | }
|
---|
258 | if (ns_flg2m_last == min_npt2) {
|
---|
259 | int jj0 = j-ns_flg2m_last+1;
|
---|
260 | if (jj0 < 0) jj0 = 0;
|
---|
261 | for(int jj = jj0; jj<=j; jj++) {
|
---|
262 | ns_flag2m++; vfgc(jj) |= FlgToiSpike;
|
---|
263 | }
|
---|
264 | }
|
---|
265 | else if (ns_flg2m_last > min_npt2) {
|
---|
266 | ns_flag2m++; vfgc(j) |= FlgToiSpike;
|
---|
267 | }
|
---|
268 | }
|
---|
269 | }
|
---|
270 |
|
---|
271 | putData(0, k, wsize, vinc.Data(), vfgc.Data());
|
---|
272 |
|
---|
273 | klast+=wsize;
|
---|
274 | totnscount+=wsize;
|
---|
275 | totnbblock++;
|
---|
276 |
|
---|
277 | } // Fin boucle sur les samples, par pas de wsize
|
---|
278 |
|
---|
279 | // 3eme partie, on traite la fin du bloc d'echantillons si necessaire
|
---|
280 | if (klast < sne) {
|
---|
281 | wsize = sne-klast;
|
---|
282 | Vector vinc(wsize);
|
---|
283 | Vector vout(wsize);
|
---|
284 | TVector<uint_8> vfgc(wsize);
|
---|
285 | k = klast+1;
|
---|
286 | getData(0, k, wsize, vinc.Data(), vfgc.Data());
|
---|
287 |
|
---|
288 | if (fgmean) { // Sortie valeur moyenne courante
|
---|
289 | vout = cur_mean;
|
---|
290 | putData(1, k, wsize, vout.Data());
|
---|
291 | }
|
---|
292 | if (fgsig) { // Sortie sigma courante
|
---|
293 | vout = cur_sig;
|
---|
294 | putData(2, k, wsize, vout.Data());
|
---|
295 | }
|
---|
296 |
|
---|
297 | if (fg_meansignt) { // Remplissage du NTuple mean-sigma
|
---|
298 | float xnt[5];
|
---|
299 | xnt[0] = k;
|
---|
300 | xnt[1] = cur_mean;
|
---|
301 | xnt[2] = cur_sig;
|
---|
302 | meansignt->Fill(xnt);
|
---|
303 | }
|
---|
304 |
|
---|
305 | if (fgout) for(j=0; j<wsize; j++) {
|
---|
306 | double x = vinc(j);
|
---|
307 | if ((vfgc(j)&flag_mask)) ns_inflagged++;
|
---|
308 | if ((x > range_max) || (x < range_min) ) {
|
---|
309 | ns_outofrange++; vfgc(j) |= FlgToiOut;
|
---|
310 | }
|
---|
311 | if (x > cur_mean) { // Superieur a mean
|
---|
312 | ns_flg2m_last = 0;
|
---|
313 | if (x > cur_mean+nsig2*cur_sig) ns_flg2p_last++;
|
---|
314 | else ns_flg2p_last = 0;
|
---|
315 | if (x > cur_mean+nsig1*cur_sig) {
|
---|
316 | ns_flag1p++; vfgc(j) |= FlgToiSpike;
|
---|
317 | }
|
---|
318 | if (ns_flg2p_last == min_npt2) {
|
---|
319 | int jj0 = j-ns_flg2p_last+1;
|
---|
320 | if (jj0 < 0) jj0 = 0;
|
---|
321 | for(int jj = jj0; jj<=j; jj++) {
|
---|
322 | ns_flag2p++; vfgc(jj) |= FlgToiSpike;
|
---|
323 | }
|
---|
324 | }
|
---|
325 | else if (ns_flg2p_last > min_npt2) {
|
---|
326 | ns_flag2p++; vfgc(j) |= FlgToiSpike;
|
---|
327 | }
|
---|
328 | }
|
---|
329 | else { // Inferieur a mean
|
---|
330 | ns_flg2p_last = 0;
|
---|
331 | if (x < cur_mean-nsig2*cur_sig) ns_flg2m_last++;
|
---|
332 | else ns_flg2m_last = 0;
|
---|
333 | if (x < cur_mean-nsig1*cur_sig) {
|
---|
334 | ns_flag1m++; vfgc(j) |= FlgToiSpike;
|
---|
335 | }
|
---|
336 | if (ns_flg2m_last == min_npt2) {
|
---|
337 | int jj0 = j-ns_flg2m_last+1;
|
---|
338 | if (jj0 < 0) jj0 = 0;
|
---|
339 | for(int jj = jj0; jj<=j; jj++) {
|
---|
340 | ns_flag2m++; vfgc(jj) |= FlgToiSpike;
|
---|
341 | }
|
---|
342 | }
|
---|
343 | else if (ns_flg2m_last > min_npt2) {
|
---|
344 | ns_flag2m++; vfgc(j) |= FlgToiSpike;
|
---|
345 | }
|
---|
346 | }
|
---|
347 | putData(0, k, wsize, vinc.Data(), vfgc.Data());
|
---|
348 | }
|
---|
349 |
|
---|
350 |
|
---|
351 | klast+=wsize;
|
---|
352 | totnscount+=wsize;
|
---|
353 | totnbblock++;
|
---|
354 | }
|
---|
355 |
|
---|
356 | meansignt->Info()["SampleCount"] = ProcessedSampleCount();
|
---|
357 | meansignt->Info()["GlMean"] = GetGlMean();
|
---|
358 | meansignt->Info()["GlSigma2"] = GetGlSigma2();
|
---|
359 | meansignt->Info()["OutOfRange"] = ns_outofrange;
|
---|
360 | meansignt->Info()["NSFlag1+"] = ns_flag1p;
|
---|
361 | meansignt->Info()["NSFlag1-"] = ns_flag1m;
|
---|
362 | meansignt->Info()["NSFlag2+"] = ns_flag2p;
|
---|
363 | meansignt->Info()["NSFlag2-"] = ns_flag2m;
|
---|
364 |
|
---|
365 | cout << " SimpleCleaner::run() - End of processing "
|
---|
366 | << " TotNbBlocks= " << totnbblock << " ProcSamples=" << totnscount << endl;
|
---|
367 |
|
---|
368 | } // Bloc try
|
---|
369 |
|
---|
370 | catch (PException & exc) {
|
---|
371 | cerr << "SimpleCleaner::run() Catched Exception " << (string)typeid(exc).name()
|
---|
372 | << "\n .... Msg= " << exc.Msg() << endl;
|
---|
373 | }
|
---|
374 |
|
---|
375 | }
|
---|