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NPtGainAlgorithm.cpp

00001 #include "NPtGainAlgorithm.h"
00002 #include "AnalysisAlgorithmMap.h"
00003 #include "AnalysisService.h"
00004 #include "Sct/SctParameters.h"
00005 #include "SctData/NPtGainTestResult.h"
00006 #include "SctData/FitScanResult.h"
00007 #include "SctData/FitObject.h"
00008 #include "SctData/ResponseCurve.h"
00009 #include "SctData/StandardDefects.h"
00010 #include "SctData/ModuleConfiguration.h"
00011 #include "SctData/ChipConfiguration.h"
00012 #include "Sct/SctNames.h"
00013 #include "Sct/ConfigurationException.h"
00014 #include "CalibrationController/IS/TestData.h"
00015 #include "sctConf/configuration.h"
00016 #include <boost/shared_ptr.hpp>
00017 
00018 using namespace Sct;
00019 using namespace SctData;
00020 using namespace boost;
00021 
00022 using std::auto_ptr;
00023 
00024 namespace SctAnalysis {
00025 
00026 unsigned NPtGainAlgorithm::NPtGainAlgorithm::s_configurationWarnings=0;
00027 
00028 shared_ptr<AnalysisAlgorithm> NPtGainAlgorithm::clone(const TestData& testData, const string& moduleName) const throw() {
00029     return shared_ptr<AnalysisAlgorithm>(new NPtGainAlgorithm(testData, moduleName, *this));
00030 }
00031 
00032 NPtGainAlgorithm::NPtGainAlgorithm(const TestData& testData, const string& moduleName, const AnalysisAlgorithm& alg) throw() : AnalysisAlgorithm(testData, moduleName, alg) , m_mur_type(SctConfiguration::UNKNOWN), m_endcap_type(SctConfiguration::ENDCAP_UNKNOWN){
00033  try{
00034     boost::shared_ptr<SctConfiguration::Configuration> config=AnalysisService::instance().getConfiguration();
00035     if (!config.get()) throw ConfigurationException("Configuration not available", __FILE__, __LINE__);
00036     unsigned mur=0, mod=0, quadrant=0, number=0;
00037     int disk=0;
00038     config->translateFromSN(moduleName, mur, mod);
00039     m_mur_type=config->getMURType(mur);
00040     if (m_mur_type==SctConfiguration::ENDCAP){
00041       config->translateToEndcap(mur, mod, disk, quadrant, number);
00042       m_endcap_type= SctConfiguration::getEndcapType(disk, number);
00043     }
00044   }catch(std::exception& e){
00045     const unsigned max_warnings=5;
00046     // only send configuration warning the first few times!
00047     if (s_configurationWarnings<max_warnings){
00048       std::ostringstream msg;
00049       if (s_configurationWarnings==max_warnings-1){
00050     msg << "NO MORE WARNINGS OF THIS TYPE WILL BE PRINTED:";
00051       }
00052       msg << "Could not find geometry-dependant expected noise levels for test " 
00053       << testData.testName
00054       << " run:" << testData.runNumber << " scan:" << testData.startScanNumber
00055       << " module:" << moduleName 
00056       << " Problem in configuration look-up: "<<endl 
00057       << e.what();
00058       Sct::SctNames::Mrs() << MRS_TEXT(msg.str()) << "CONFIG_LOOKUP_FAIL" << MRS_WARNING << ENDM;
00059       s_configurationWarnings++;
00060     }
00061   }
00062 }
00063     
00064 shared_ptr<ResponseCurve> NPtGainAlgorithm::getResponseCurve(unsigned int nPts) throw(LogicError){
00065     if (nPts <= 3) {
00066     return shared_ptr<ResponseCurve> (new LinearResponseCurve());
00067     } else {
00068     return shared_ptr<ResponseCurve> (new ExponentialResponseCurve());
00069     }   
00070 }
00071     
00072 void NPtGainAlgorithm::setResponseCurve(auto_ptr<ResponseCurve> rc) throw() {
00073     static shared_ptr<ResponseCurve> s_responseCurve=shared_ptr<ResponseCurve>(rc.release());
00074 }
00075 
00076 bool NPtGainAlgorithm::inMap = AnalysisAlgorithmMap::instance().setAlgorithm("NPtGainTest", auto_ptr<AnalysisAlgorithm>(new NPtGainAlgorithm()));
00077 
00078 shared_ptr<SctData::TestResult> NPtGainAlgorithm::createTestResult() const {
00079     shared_ptr<NPtGainTestResult> result (new NPtGainTestResult());
00080     result->setChipDataSize(nChipModule);
00081     result->setChannelDataSize(nChannelModule);
00082     
00083     return result;
00084 }
00085 
00086 void NPtGainAlgorithm::loadData() {
00087     loadAllFits();
00088 }
00089 
00090 bool NPtGainAlgorithm::canAnalyze() const {
00091     return hasAllFits();
00092 }
00093 
00094 void NPtGainAlgorithm::analyze() {
00095     shared_ptr<NPtGainTestResult> result = dynamic_pointer_cast<NPtGainTestResult> ( getTestResult() );
00096     result->setScanVariable(getFit(0)->getHeader().getVariable());  
00097     try{
00098     result->setSpecialScanPointValue(2.0);
00099     } catch (Sct::Throwable& e){
00100     e.sendToMrs(MRS_ERROR);
00101     }
00102     
00103     //Reset counters
00104     nOnePointTrimmed = 0;
00105     nTwoPointTrimmed = 0;
00106     
00107     //Do chips
00108     for (unsigned int i=0; i<nChipModule; ++i) {
00109         setupGraph(i, ModuleElement::Chip(i), &FitScanResult::getChipFit, *result, result->getChipData(i), true);
00110         doFit(i, &FitScanResult::getChipFit, *result, result->getChipData(i));
00111     }
00112 
00113     //Do channels
00114     for (unsigned int i=0; i<nChannelModule; ++i) {
00115     ModuleElement element = ModuleElement::Channel(i);
00116         setupGraph(i, element, &FitScanResult::getChannelFit, *result, result->getChannelData(i), true);
00117     //Note - make sure we do this after we have setup the graph - that way we don't cause any problems with missing data
00118     //And we can check later if necessary
00119     if (getFit(0)->getConfiguration().channelIsMasked(i)) continue; 
00120     
00121         doFit(i, &FitScanResult::getChannelFit, *result, result->getChannelData(i));
00122         doDefect(element, result->getDefects(), 
00123          result->getChannelData(i), result->getChipData(i/nChannelChip));
00124     }
00125     
00126     doSlopes(*result);
00127 
00128     //mergeDefects();
00129     
00130     //Check for defects - fail if more than 15 defective channels or more than 7 consecutive defective channels
00131     const DefectList::DefectCollection& defects = result->getDefects().getAllDefects();
00132     bool passed = true;
00133     unsigned int totalChannels = 0;
00134     for (DefectList::DefectCollection::const_iterator i=defects.begin(); i!=defects.end(); ++i) {
00135         // DODGY defects don't count towards failure of module
00136         if (i->getPrototype().getSeverity() > DODGY) {
00137             totalChannels += i->getModuleElement().getNChannels();
00138             if (i->getModuleElement().getNChannels()>7) {
00139                 passed = false;
00140                 break;
00141             }
00142         }
00143     }
00144     if (totalChannels > 15) passed = false;
00145     
00146     //Add comment about number of channels trimmed
00147     if (nOnePointTrimmed != 0) {
00148     ostringstream oss;
00149     oss << nOnePointTrimmed << " channels had 1 point trimmed from fit";
00150     result->addComment(oss.str());
00151     }
00152     if (nTwoPointTrimmed != 0) {
00153     ostringstream oss;
00154     oss << nTwoPointTrimmed << " channels had 2 (or more) points trimmed from fit";
00155     result->addComment(oss.str());
00156     }
00157     
00158     result->setPassed(passed);
00159 }
00160  
00161 //Setup the graphs - also prune points
00162 void NPtGainAlgorithm::setupGraph(unsigned int id, const ModuleElement& element, getFitFunction fitFunc, NPtGainTestResult& test, NPtGainTestResultData& testData, bool trimPoints) throw(LogicError) {
00163     
00164     unsigned int lastPoint = test.getNScans()-1;
00165     //Filter out points above 5fC if they are broad and we have more than 5 points
00166     if (trimPoints && test.getNScans() > 5) {
00167     double sigmaCut = 0;
00168     for (unsigned int i=0; i<test.getNScans(); ++i) {
00169         sigmaCut+= (getFit(i).get()->*fitFunc)(id).getParameter("Sigma");
00170     }
00171     sigmaCut *= 1.5/test.getNScans();   //We want 1.5*mean sigma
00172     //cout << "Sigma Cut set to: " << sigmaCut << endl;
00173     for (unsigned int i=test.getNScans() - 1; i>4; --i) {
00174         //cout << "Point: " << i << " sigma: " << (getFit(i).get()->*fitFunc)(id).getParameter("Sigma") << " TestPoint: " << test.getTestPointAt(i) << endl;
00175         const DefectList& defects = getFit(i)->getDefects();
00176         if (test.getTestPointAt(i) > 5 && ((getFit(i).get()->*fitFunc)(id).getParameter("Sigma") > sigmaCut || 
00177                            defects.defectSeverityAffectingElement(element) >= SERIOUS)) {
00178         lastPoint = i-1;
00179         }
00180     }
00181     
00182     //Note we should only record trimed points for chips... 
00183     if (lastPoint != test.getNScans() - 1) {
00184         if (element.isChip()) {
00185         ostringstream oss;
00186         oss << "Points trimed from response curve for chip: " << id << ". Last point " << lastPoint << " with charge " << test.getTestPointAt(lastPoint);
00187         test.addComment(oss.str());
00188         } else {    //Element is a channel
00189         if (lastPoint+1-test.getNScans() == 1) ++nOnePointTrimmed;
00190         else ++nTwoPointTrimmed;
00191         }
00192     }
00193     }
00194     
00195     mergeDefects(test, element, lastPoint);
00196 
00197     shared_ptr<TGraph> g (new TGraph(lastPoint+1));
00198     if (!g)
00199         throw InvariantViolatedError("NPtGainTestResult::setupGraph couldn't make TGraph", __FILE__, __LINE__);
00200     
00201     
00202     for (unsigned int j = 0; j <= lastPoint; ++j) {
00203         // Cal charge register is set in RodDaq/Dsp/Sct/Code/ABCDConfig.c
00204         // find out which chip from the module element
00205         unsigned ichip=element.getFirst()/nChannelChip;
00206     const ChipConfiguration& chipconfig = getFit(j)->getConfiguration().getChipConfiguration(ichip);
00207     // get the cal charge register value
00208         const unsigned char cal = chipconfig.getCalCharge();
00209     // convert this to fC, taking into account the calibration factor:
00210         const float qcal= static_cast<float>(cal)*0.0625*chipconfig.getCalFactor();
00211         g->SetPoint(j, qcal, (getFit(j).get()->*fitFunc)(id).getParameter("Mean"));
00212     //if (element.getFirst()%nChannelChip==0){
00213     //  std::cout << "Chip " << element.getFirst()/nChannelChip << " Point (" << j << ") value requested = " << test.getTestPointAt(j)
00214     //      << " register = " << (int)cal 
00215     //      << " step = " << 0.0625*chipconfig.getCalFactor()
00216     //      << " actual value = " << qcal << std::endl; 
00217     //}
00218     }
00219     testData.graph = g;
00220 
00221     shared_ptr<ResponseCurve> r=getResponseCurve(test.getNScans());
00222     testData.rc = r;    
00223 }
00224 
00225 void NPtGainAlgorithm::mergeDefects(NPtGainTestResult& test, const ModuleElement& element, unsigned int lastPoint) {
00226     for (unsigned int i=0; i<lastPoint; ++i) {
00227     auto_ptr<DefectList> defects = getFit(i)->getDefects().getDefectsEncompassingElement(element);
00228     const DefectList::DefectCollection& allDefects = defects->getAllDefects();
00229     for (DefectList::DefectCollection::const_iterator it=allDefects.begin(); it!=allDefects.end(); ++it) {
00230         test.getDefects().addDefect(Defect(it->getPrototype(), element));
00231     }
00232     }
00233 }
00234 
00235 void NPtGainAlgorithm::doFit(unsigned int id, getFitFunction fitFunc, NPtGainTestResult& test,
00236                               NPtGainTestResultData& testData) throw(LogicError) {
00237     //testData.graph->Fit(&testData.rc->getFunction(), "NQ", "", 0, 10);
00238     // replaced below with generalised fitting, 17/7/03 Alan Barr
00239 
00240     testData.rc->getFunction()->SetRange(0,10);
00241     AnalysisService::instance().getFitStrategy().fitTGraph(*testData.graph, *testData.rc->getFunction() );
00242     
00243     testData.gain = testData.rc->getGain(test.getSpecialScanPointValue());
00244 
00245     shared_ptr<const FitScanResult> specialFit = getFit(test.getSpecialScanIndex());
00246     //6250 is a magic number that converts noise to ENC
00247     if (testData.gain != 0) testData.noise = 6250 * (specialFit.get()->*fitFunc)(id).getParameter("Sigma") / testData.gain;
00248     else  testData.noise = 0;
00249     testData.offset= testData.rc->getFunction()->Eval(0.);
00250 }
00251 
00252 void NPtGainAlgorithm::doDefect(const ModuleElement& element, DefectList& defects, 
00253                 const NPtGainTestResultData& data,
00254                 const NPtGainTestResultData& comparisonData) throw(LogicError) {
00255     
00256     if (data.gain < StandardDefects::VLO_GAIN.getParameter() * comparisonData.gain){
00257         defects.addDefect(Defect(StandardDefects::VLO_GAIN, element));
00258     }
00259     if (data.gain < StandardDefects::LO_GAIN.getParameter() * comparisonData.gain){
00260         defects.addDefect(Defect(StandardDefects::LO_GAIN, element));
00261     } else if (data.gain > StandardDefects::HI_GAIN.getParameter() * comparisonData.gain){
00262         defects.addDefect(Defect(StandardDefects::HI_GAIN, element));
00263     }
00264 
00265     if (data.offset < StandardDefects::LO_OFFSET.getParameter()) {
00266         defects.addDefect(Defect(StandardDefects::LO_OFFSET, element));
00267     } else if (data.offset > StandardDefects::HI_OFFSET.getParameter()) {
00268         defects.addDefect(Defect(StandardDefects::HI_OFFSET, element));
00269     }
00270 
00271     bool short_module = ( m_mur_type==SctConfiguration::ENDCAP && 
00272               ( m_endcap_type==SctConfiguration::ENDCAP_SHORT_MIDDLE
00273                 || m_endcap_type==SctConfiguration::ENDCAP_INNER) );
00274     
00275     if (data.noise < StandardDefects::UNBONDED.getParameter()) {
00276         defects.addDefect(Defect(StandardDefects::UNBONDED, element));
00277     } else if (data.noise < StandardDefects::PARTBONDED.getParameter() && !short_module) {
00278         defects.addDefect(Defect(StandardDefects::PARTBONDED, element));
00279     } else if (data.noise > StandardDefects::NOISY.getParameter() * comparisonData.noise) {
00280         defects.addDefect(Defect(StandardDefects::NOISY, element));
00281     }
00282   
00283     if (data.noise > StandardDefects::V_NOISY.getParameter() * comparisonData.noise) {
00284         defects.addDefect(Defect(StandardDefects::V_NOISY, element));
00285     }
00286 }
00287 
00288   void NPtGainAlgorithm::doSlopes(NPtGainTestResult& r){
00289     shared_ptr<TGraph> noise  = r.getNoiseGraph();
00290     shared_ptr<TGraph> gain   = r.getGainGraph();
00291     shared_ptr<TGraph> offset = r.getOffsetGraph();
00292 
00293     //std::cout << "Noise" << std::endl;
00294     doSlopes(noise,  r.noiseSlope);
00295     
00296     //std::cout << "Gain" << std::endl;
00297     doSlopes(gain,   r.gainSlope);
00298 
00299     //std::cout << "Offset" << std::endl;
00300     doSlopes(offset, r.offsetSlope);
00301     for (unsigned ichip=0; ichip<nChipModule; ++ichip){
00302       if (abs(r.noiseSlope[ichip]) > StandardDefects::NOISE_SLOPE.getParameter()){
00303     r.getDefects().addDefect(Defect(StandardDefects::NOISE_SLOPE, ModuleElement::Chip(ichip)));
00304       }
00305       if (abs(r.gainSlope[ichip])>StandardDefects::GAIN_SLOPE.getParameter()){
00306     r.getDefects().addDefect(Defect(StandardDefects::GAIN_SLOPE, ModuleElement::Chip(ichip)));
00307       }
00308       if (abs(r.offsetSlope[ichip])>StandardDefects::OFFSET_SLOPE.getParameter()){
00309     r.getDefects().addDefect(Defect(StandardDefects::OFFSET_SLOPE, ModuleElement::Chip(ichip)));
00310       }
00311 
00312     }
00313 
00314   }
00315 
00316   void NPtGainAlgorithm::doSlopes(shared_ptr<TGraph> graph, Sct::RangedVector<float>& result){
00317     result.resize(nChipModule);
00318     // linear least squares:
00319     for (unsigned ichip=0; ichip<nChipModule; ++ichip){
00320       double xsum=0.;
00321       double x2sum=0.;
00322       double ysum=0.;
00323       double xysum=0.;
00324       unsigned n=0;
00325       for (unsigned ichan = 0; ichan<nChannelChip; ++ichan) {
00326     double x=0;
00327     double y=0;
00328     int bin=ichip*nChannelChip + ichan;
00329     graph->GetPoint(bin, x, y);
00330     if (y>0.0001){
00331       xsum  += x;
00332       ysum  += y;
00333       x2sum += x*x;
00334       xysum += x*y;
00335       ++n;
00336     }
00337       }
00338       const double det = ( n*x2sum ) - ( xsum*xsum );
00339       if (det>0) {
00340     result[ichip]= (n*xysum - xsum*ysum) / det;
00341       }else{
00342     result[ichip]=0.;
00343       }
00344     }
00345     }
00346 
00347 }

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