source: Sophya/trunk/AddOn/TAcq/brprocGain.cc

Last change on this file was 4016, checked in by ansari, 14 years ago

Ajout de commentaires d'autodocumentation Doxygen, Reza 12/08/2011

File size: 7.1 KB
Line 
1//----------------------------------------------------------------
2// Projet BAORadio - (C) LAL/IRFU 2008-2010
3// Classes de threads de traitement pour BAORadio
4//----------------------------------------------------------------
5
6#include <stdlib.h>
7#include <string.h>
8#include <unistd.h>
9#include <fstream>
10#include <signal.h>
11#include <algorithm>
12
13#include "pexceptions.h"
14#include "tvector.h"
15#include "ntuple.h"
16#include "datatable.h"
17#include "histos.h"
18#include "fioarr.h"
19#include "matharr.h"
20#include "timestamp.h"
21#include "ctimer.h"
22#include "fftpserver.h"
23#include "fitsarrhand.h"
24
25#include "FFTW/fftw3.h"
26
27
28#include "pciewrap.h"
29#include "brpaqu.h"
30
31#include "brprocGain.h"
32
33
34
35
36//---------------------------------------------------------------------
37// Classe de traitement de spectres -
38// Calcul de spectres de gain
39//---------------------------------------------------------------------
40/*!
41 \class BRGainCalculator
42 \ingroup TAcq
43
44 \brief Gain/normalization computation on spectra (developped for Nancay data)
45*/
46/* --Methode-- */
47BRGainCalculator::BRGainCalculator(RAcqMemZoneMgr& memgr, string outpath, uint_4 nmean,
48 bool fgdatafft, bool fgsinglechan)
49 : BRMeanSpecCalculator(memgr,outpath,nmean,fgdatafft,fgsinglechan), forceMedianFreqFilter_(false), medianFilterHalfWidth_(50), nbwin4mean_(nmean)
50{
51
52 // cout << "(JEC): BRGainCalculator Ctor " << endl;
53
54
55 setNameId("gainCalc",1);
56
57 uint_4 nb_octets_entrop = 0; //this value is valid for Dec. 2010 data at Nancay
58
59 const char* venvp = NULL;
60 venvp=getenv("BRANA_NBYTECUT");
61 if (venvp!=NULL){
62 nb_octets_entrop = atoi(venvp);
63 cout << "BRGainCalculator : BRANA_NBYTECUT : " << nb_octets_entrop << endl;
64 }
65
66 BRPaquet paq(memgr_.PaqSize()-nb_octets_entrop);
67
68 if (fgsinglechannel_) {
69 medfiltspecmtx_.SetSize(memgr_.NbFibres(), paq.DataSize()/2);
70 }
71 else {
72 medfiltspecmtx_.SetSize(2*memgr_.NbFibres(), paq.DataSize()/4);
73 }
74 //init
75 medfiltspecmtx_ = (r_4)(0.);
76 nummedianfile_ = 0;
77 nbtot_specwin_ = 0;
78 windowTime_ = TimeStamp(); //default
79
80}
81
82
83/* --Methode-- */
84BRGainCalculator::~BRGainCalculator()
85{
86 cout << "(JEC): BRGainCalculator Dtor: nbtot_specwin = " << nbtot_specwin_
87 << "nbwin4mean = " << nbwin4mean_ << endl;
88 if(nbtot_specwin_>nbwin4mean_*0.5)SaveMedianSpectra();
89}
90
91
92
93/* --Methode-- */
94void BRGainCalculator::ProcSpecWin(uint_8 numpaqstart, uint_8 numpaqend)
95{
96
97 // cout << "(JEC): BRGainCalculator ProcSpecWin: "<< nbtot_specwin_
98 // << endl;
99
100
101
102 //JEC 13/12/10 save the filtered spectra
103 if ( (nbtot_specwin_>0)&&(nbtot_specwin_%nbwin4mean_==0) ) SaveMedianSpectra();
104
105 // Get time of window
106 windowTime_ = getObsTime();
107
108 if (prtlev_>1) {
109 cout << " BRGainCalculator::ProcSpecWin() num_win=" << nbtot_specwin_ << " numpaqstart=" << numpaqstart
110 << " numpaqend=" << numpaqend << " nbwin4mean = " << nbwin4mean_ << endl;
111 cout << " (1) ObsTime=" << windowTime_ << " TimeTag=" << getCurTimeTagSeconds() << " s. FrameCounter="
112 << getCurFrameCounter() << endl;
113 }
114 //DBG cout << "BRGainCalculator::ProcSpecWin()/Debug: numpaqstart=" << numpaqstart
115 //DBG << " numpaqend=" << numpaqend << endl;
116
117
118 //Implement the median filter at a fixed freq. but on all paquets of the window
119 //then apply a median filter on the frequencies
120 for(sa_size_t i=0; i<spec_window_.SizeY(); i++) { //loop on channel (voie)
121 TVector<r_4> medianFilterPaq(spec_window_.SizeX());
122 //we keep freq. = 0 for compatibility
123 for (sa_size_t f=0; f<spec_window_.SizeX(); f++) {
124 std::vector<r_4> val1;
125 TVector<r_4> tval1(spec_window_(Range(f),Range(i),Range::all()).CompactAllDimensions());
126 tval1.FillTo(val1);
127 std::nth_element(val1.begin(),
128 val1.begin()+val1.size()/2,
129 val1.end());
130 medianFilterPaq(f) = *(val1.begin()+val1.size()/2);
131 }//eo loop on frequencies
132
133
134
135 if(forceMedianFreqFilter_) {
136 //perform a median filter on the frequencies
137 TVector<r_4> medianFilterFreq = medfiltspecmtx_.Row(i);
138 sa_size_t hww = medianFilterHalfWidth_; //half freq window for filtering
139 sa_size_t fMin = 0.;
140 sa_size_t fMax = spec_window_.SizeX()-1;
141 for (sa_size_t f=0; f<spec_window_.SizeX(); f++) {
142 sa_size_t first = (f-hww >= fMin) ? f-hww : fMin;
143 sa_size_t last = (f+hww <= fMax) ? f+hww : fMax;
144 std::vector<r_4> val2;
145 medianFilterPaq(Range(first,last)).FillTo(val2);
146 std::nth_element(val2.begin(),
147 val2.begin()+val2.size()/2,
148 val2.end());
149 medianFilterFreq(f) = *(val2.begin()+val2.size()/2); //Notice the "+" for later take the mean
150 }//eo loop on frequencies
151 } else {
152 // cout<< "(JEC) ProcSpecWin debug medfiltspecmtx/medianFilterPaq "<< endl;
153 // medfiltspecmtx_.Row(i).Show();
154 // medianFilterPaq.Transpose().Show();
155 medfiltspecmtx_.Row(i) += medianFilterPaq.Transpose();
156 }
157 }//eo loop on channels
158
159 //We always end here with a medfiltspecmtx Matrix Row=[0,NCha-1] x Col=[0,fMax]
160
161
162 if (nbtot_specwin_<nmaxfiles_specw_) SaveSpectraWindow();
163
164
165 nbtot_specwin_++;
166 return;
167}
168
169
170/* --Methode-- */
171//JEC 13/12/10 Start
172void BRGainCalculator::SaveMedianSpectra()
173{
174
175 cout << "(JEC): BRGainCalculator SaveMedianSpectra ("<<nummedianfile_<<") nbwin = "<< nbwin4mean_
176 << " nbtot_specwin = " << nbtot_specwin_
177 << endl;
178 if (prtlev_>1) {
179 cout << " BRGainCalculator:SaveMedianSpectra() nbwin4mean = " << nbwin4mean_ << endl
180 << " (2) ObsTime=" << windowTime_ << " Total Intensity " << 0.5*medfiltspecmtx_.Sum() << endl;
181 }
182
183 //JEC compute power spectrum
184
185
186
187
188 for(sa_size_t ir=0; ir< medfiltspecmtx_.NRows(); ir++){
189 char buff[32];
190 sprintf(buff,"NPAQSUM_%d",(int)ir);
191 medfiltspecmtx_.Info()["NPAQSUM"] = nbtot_specwin_;
192 medfiltspecmtx_.Info()[buff] = nbtot_specwin_;
193 if ( nbtot_specwin_ > 0) {
194 medfiltspecmtx_.Row(ir) /= (r_4)nbtot_specwin_;
195 }
196 }//eo loop on channels
197 //JEC timeStamp in the day @ millisec: faudra gerer le passage a minuit!
198 //Reza : getObsTimeSeconds() fournit le temps ecoule en seconde a partir de 0h00 de la date du premier fichier
199 medfiltspecmtx_.Info()["TIMEWIN"] = (windowTime_.SecondsPart())*1000.;
200 if (nbpmoyttfc_>1) {
201 moyfc_/=(double)nbpmoyttfc_;
202 moytt_/=(double)nbpmoyttfc_;
203 }
204 string ikey,ikdesc;
205 ikey="MeanFC"; ikdesc="Mean FrameCounter";
206 medfiltspecmtx_.Info().SetI(ikey,moyfc_);
207 medfiltspecmtx_.Info().SetComment(ikey,ikdesc);
208 ikey="MeanTT"; ikdesc="Mean TimeTag";
209 medfiltspecmtx_.Info().SetD(ikey,moytt_);
210 medfiltspecmtx_.Info().SetComment(ikey,ikdesc);
211
212 char nfile[64];
213 string flnm;
214 {
215 sprintf(nfile,"medfiltmtx%d.fits",nummedianfile_);
216 flnm="!"+outpath_+nfile;
217 FitsInOutFile fos(flnm,FitsInOutFile::Fits_Create);
218 fos << medfiltspecmtx_;
219 cout << nummedianfile_ << "-BRGainCalculator::ProcSpecWin() save filtered spectra matrix in "
220 << flnm << endl;
221 }
222
223 //increment the file index
224 nummedianfile_++;
225
226 if (dtpms_!=NULL) FillPwrTmDTable(medfiltspecmtx_);
227
228 //reset the matirx
229 medfiltspecmtx_ = (r_4)(0.);
230 //reset counter
231 nbtot_specwin_ = 0;
232 moyfc_=moytt_=0.;
233 nbpmoyttfc_=0;
234
235 return;
236}
237//JEC 13/12/10 End
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