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LArSamples::Data Class Reference

#include <Data.h>

Inheritance diagram for LArSamples::Data:
Collaboration diagram for LArSamples::Data:

Public Member Functions

 Data (const DataContainer &container, const EventData &eventData, const History *history, int index, bool takeOwnership=false)
 Constructor
More...
 
 Data (const Data &other, const EventData *eventData=0, const History *history=0, int index=-1)
 
virtual ~Data ()
 Destructor. More...
 
CaloGain::CaloGain gain () const
 
unsigned int nSamples () const
 
const short & sample (unsigned int i) const
 
float pedestalSubtractedSample (unsigned int i) const
 
std::vector< float > pedestalSubtractedSamples () const
 
const EventData * eventData () const
 
int run () const
 
int event () const
 
int lumiBlock () const
 
int bunchId () const
 
double energy () const
 
double ofcTime () const
 
double quality () const
 
double pedestal () const
 
double pedestalRMS () const
 
int status () const
 
double adcMax () const
 
double meV2ADC () const
 
double adc2MeV () const
 
bool febError (LArFebErrorSummary::LArFebErrorType error) const
 
bool isDisconnected () const
 
TString problems (bool sayNone=false) const
 
TString description (unsigned int verbosity=1) const
 
bool isValid () const
 
double footprint () const
 
short maxSample () const
 
short minSample () const
 
unsigned int nPoints () const
 
double time (unsigned int i) const
 
double value (unsigned int i) const
 
double covariance (unsigned int i, unsigned int j) const
 
unsigned int nCorrs () const
 
double noise () const
 
double adcMax_new () const
 
double covarianceMeV (unsigned int i, unsigned int j) const
 
const DataContainer & container () const
 
const DataContainer * dissolve ()
 
SimpleShape * referenceShape () const
 
SimpleShape * timeAlignedShape () const
 
const ScaledErrorData * scaledErrorData () const
 
const History * history () const
 
short index () const
 
TVectorD deltas () const
 
TVectorD residuals () const
 
double delta (short sample) const
 
double residual (short sample) const
 
double residualOffset (short sample, bool scale=true) const
 
double resCorrN (ShapeErrorType shapeErrorType=BestShapeError) const
 
double xi (short sample, ShapeErrorType shapeErrorType=BestShapeError, CaloGain::CaloGain g=CaloGain::UNKNOWNGAIN, bool xip=false) const
 
double xiNorm (ShapeErrorType shapeErrorType=BestShapeError) const
 
double xip (short sample, ShapeErrorType shapeErrorType=BestShapeError, CaloGain::CaloGain g=CaloGain::UNKNOWNGAIN) const
 
double residualError (short sample1, short sample2=-1, bool scale=true) const
 
double chi2 () const
 
bool calcRefit (double &chi2, double &k, double &dT) const
 
bool calcAdjust (double &k, double &dT) const
 
bool isPassed (const TString &bitName) const
 
bool goodForShapeCorr () const
 
double upstreamEnergy () const
 
double _sample (const DataFuncArgs &args) const
 
double _pedestalSubstractedSample (const DataFuncArgs &args) const
 
double _energy (const DataFuncArgs &) const
 
double _ofcTime (const DataFuncArgs &) const
 
double _quality (const DataFuncArgs &) const
 
double _pedestal (const DataFuncArgs &) const
 
double _pedestalRMS (const DataFuncArgs &) const
 
double _adcMax (const DataFuncArgs &) const
 
double _adcMax_new (const DataFuncArgs &) const
 
double _noise (const DataFuncArgs &) const
 
double _maxValue (const DataFuncArgs &) const
 
double _minValue (const DataFuncArgs &) const
 
double _null (const DataFuncArgs &) const
 
int _run (const DataFuncArgs &) const
 
int _event (const DataFuncArgs &) const
 
int _lumiBlock (const DataFuncArgs &) const
 
int _bunchId (const DataFuncArgs &) const
 
int _index (const DataFuncArgs &) const
 
int _gain (const DataFuncArgs &) const
 
double _delta (const DataFuncArgs &args) const
 
double _residual (const DataFuncArgs &args) const
 
double _residualOffset (const DataFuncArgs &args) const
 
double _resCorrN (const DataFuncArgs &) const
 
double _xi (const DataFuncArgs &args) const
 
double _xiCell (const DataFuncArgs &args) const
 
double _xiRing (const DataFuncArgs &args) const
 
double _xiNormCell (const DataFuncArgs &) const
 
double _xiNormRing (const DataFuncArgs &) const
 
double _xip (const DataFuncArgs &args) const
 
double _residualError (const DataFuncArgs &args) const
 
double _normResidualOffset (const DataFuncArgs &args) const
 
double _normResidualError (const DataFuncArgs &args) const
 
double _ofcSigma (const DataFuncArgs &args) const
 
double _ofcGamma (const DataFuncArgs &args) const
 
int _iEta (const DataFuncArgs &args) const
 
int _iPhi (const DataFuncArgs &args) const
 
int _region (const DataFuncArgs &args) const
 
int _layer (const DataFuncArgs &args) const
 
int _calo (const DataFuncArgs &args) const
 
int _feedThrough (const DataFuncArgs &args) const
 
int _slot (const DataFuncArgs &args) const
 
int _channel (const DataFuncArgs &args) const
 
int _hash (const DataFuncArgs &args) const
 
int _ring (const DataFuncArgs &args) const
 
int _nData (const DataFuncArgs &args) const
 
int _maxPosition (const DataFuncArgs &) const
 
double _count (const DataFuncArgs &) const
 
double _chi2 (const DataFuncArgs &) const
 
double _chi2_noCorr (const DataFuncArgs &args) const
 
double _chi2_ringCorr (const DataFuncArgs &args) const
 
double _chi2_cellCorr (const DataFuncArgs &args) const
 
double _chi2_k (const DataFuncArgs &args) const
 
double _refitDeltaT (const DataFuncArgs &args) const
 
double _refitScale (const DataFuncArgs &args) const
 
double _refitChi2 (const DataFuncArgs &args) const
 
double _adjDeltaT (const DataFuncArgs &args) const
 
double _adjScale (const DataFuncArgs &args) const
 
double _x (const DataFuncArgs &args) const
 
double _y (const DataFuncArgs &args) const
 
double _z (const DataFuncArgs &args) const
 
double _rt (const DataFuncArgs &args) const
 
double _eta (const DataFuncArgs &args) const
 
double _phi (const DataFuncArgs &args) const
 
double _timeNoTOF (const DataFuncArgs &args) const
 
double _timeForSplash1 (const DataFuncArgs &args) const
 
double _timeForSplash2 (const DataFuncArgs &args) const
 
double _peakSignif (const DataFuncArgs &args) const
 
double _energySignif (const DataFuncArgs &args) const
 
int _goodForShapeCorr (const DataFuncArgs &) const
 
double _upstreamE (const DataFuncArgs &) const
 
double _upstreamERatio (const DataFuncArgs &args) const
 
double _chi2Anomaly (const DataFuncArgs &args) const
 
double timeClCorr () const
 
double timeECorr () const
 
double _timeECorr (const DataFuncArgs &args) const
 
double _pass (const DataFuncArgs &args) const
 
void setCallBacks (const History *history, unsigned int index) const
 
virtual double error (unsigned int i) const
 
TVectorD values (int lwb, int upb) const
 
int findTimeInterval (double time) const
 
int interpolate (double time, double &value, double &error) const
 
bool interpolate (const AbsShape &other, TVectorD &values, CovMatrix &errors, int lwb=-1, int upb=-1) const
 
int interpolateDiff (double time, double &diff) const
 
bool interpolateDiff (const AbsShape &other, TVectorD &diffs, int lwb=-1, int upb=-1) const
 
CovMatrix covarianceMatrix (int lwb=-1, int upb=-1, const CovMatrix &refErr=CovMatrix(), bool withCorrs=true) const
 
CovMatrix covarianceMatrix (unsigned int nPoints, bool withCorrs=true) const
 
CovMatrix invCovarianceMatrix (int lwb=-1, int upb=-1, const CovMatrix &refErr=CovMatrix(), bool withCorrs=true) const
 
CovMatrix invCovarianceMatrix (unsigned int nPoints, bool withCorrs=true) const
 
double maxValue (bool withErrors=false) const
 
double minValue (bool withErrors=false) const
 
int maxPosition () const
 
int minPosition () const
 
TGraphErrors * graph (bool timeInUnitOfSamples=false) const
 
SimpleShape * resample (unsigned int nPts) const
 

Static Public Member Functions

static TString str (LArFebErrorSummary::LArFebErrorType error)
 
static TString gainStr (CaloGain::CaloGain gain)
 
static double timeShift ()
 
static void setTimeShift (double shift=0)
 

Private Attributes

const DataContainer *const m_container
 
const EventData *const m_eventData
 
const History * m_history
 
unsigned int m_index
 

Static Private Attributes

static std::atomic< double > m_timeShift {0}
 

Friends

class DataTweaker
 

Detailed Description

Definition at line 72 of file Data.h.

Constructor & Destructor Documentation

◆ Data() [1/2]

Data::Data ( const DataContainer &  container,
const EventData &  eventData,
const History *  history,
int  index,
bool  takeOwnership = false 
)

Constructor

Definition at line 32 of file Data.cxx.

33  : AbsShape(), m_container(takeOwnership ? &container : new DataContainer(container)), m_eventData(&eventData),
34  m_history(history), m_index(index)
35 {
36  ClassCounts::incrementInstanceCount("Data");
37 }

◆ Data() [2/2]

Data::Data ( const Data &  other,
const EventData *  eventData = 0,
const History *  history = 0,
int  index = -1 
)

Definition at line 40 of file Data.cxx.

41  : AbsShape(), m_container(new DataContainer(other.container())),
42  m_eventData(eventData ? eventData : other.eventData()),
43  m_history(history ? history : other.m_history), m_index(index >= 0 ? index : other.m_index)
44 {
45  ClassCounts::incrementInstanceCount("Data");
46 }

◆ ~Data()

Data::~Data ( )
virtual

Destructor.

Definition at line 49 of file Data.cxx.

50 {
51  ClassCounts::decrementInstanceCount("Data");
52  delete m_container;
53 }

Member Function Documentation

◆ _adcMax()

double LArSamples::Data::_adcMax ( const DataFuncArgs &  ) const
inline

Definition at line 196 of file Data.h.

196 { return adcMax(); }

◆ _adcMax_new()

double LArSamples::Data::_adcMax_new ( const DataFuncArgs &  ) const
inline

Definition at line 197 of file Data.h.

197 { return adcMax_new(); }

◆ _adjDeltaT()

double Data::_adjDeltaT ( const DataFuncArgs &  args) const

Definition at line 285 of file Data.cxx.

286 {
287  double k, dT;
288  if (!calcAdjust(k, dT)) return -9999;
289  return dT;
290 }

◆ _adjScale()

double Data::_adjScale ( const DataFuncArgs &  args) const

Definition at line 293 of file Data.cxx.

294 {
295  double k, dT;
296  if (!calcAdjust(k, dT)) return -1;
297  return k;
298 }

◆ _bunchId()

int LArSamples::Data::_bunchId ( const DataFuncArgs &  ) const
inline

Definition at line 206 of file Data.h.

206 { return bunchId(); }

◆ _calo()

int Data::_calo ( const DataFuncArgs &  args) const

Definition at line 322 of file Data.cxx.

323 {
324  if (!m_history) return 0;
325  return m_history->cellInfo()->calo();
326 }

◆ _channel()

int Data::_channel ( const DataFuncArgs &  args) const

Definition at line 350 of file Data.cxx.

351 {
352  if (!m_history) return 0;
353  return m_history->cellInfo()->channel();
354 }

◆ _chi2()

double LArSamples::Data::_chi2 ( const DataFuncArgs &  ) const
inline

Definition at line 239 of file Data.h.

239 { return chi2(); }

◆ _chi2_cellCorr()

double Data::_chi2_cellCorr ( const DataFuncArgs &  args) const

Definition at line 218 of file Data.cxx.

219 {
220  if (!m_history) return 0;
221  return m_history->chi2(m_index, -1, -1, DefaultChi2, CellShapeError);
222 }

◆ _chi2_k()

double Data::_chi2_k ( const DataFuncArgs &  args) const

Definition at line 225 of file Data.cxx.

226 {
227  if (!m_history) return 0;
228  return m_history->chi2_k(m_index, args.x1);
229 }

◆ _chi2_noCorr()

double Data::_chi2_noCorr ( const DataFuncArgs &  args) const

Definition at line 204 of file Data.cxx.

205 {
206  if (!m_history) return 0;
207  return m_history->chi2(m_index, -1, -1, DefaultChi2, NoShapeError);
208 }

◆ _chi2_ringCorr()

double Data::_chi2_ringCorr ( const DataFuncArgs &  args) const

Definition at line 211 of file Data.cxx.

212 {
213  if (!m_history) return 0;
214  return m_history->chi2(m_index, -1, -1, DefaultChi2, RingShapeError);
215 }

◆ _chi2Anomaly()

double Data::_chi2Anomaly ( const DataFuncArgs &  args) const

Definition at line 597 of file Data.cxx.

598 {
599  if (!m_history) return -1;
600  return m_history->chi2Anomaly(args.x1);
601 }

◆ _count()

double LArSamples::Data::_count ( const DataFuncArgs &  ) const
inline

Definition at line 237 of file Data.h.

237 { return 1; }

◆ _delta()

double LArSamples::Data::_delta ( const DataFuncArgs &  args) const
inline

Definition at line 209 of file Data.h.

209 { return delta(args.i1); }

◆ _energy()

double LArSamples::Data::_energy ( const DataFuncArgs &  ) const
inline

Definition at line 191 of file Data.h.

191 { return energy(); }

◆ _energySignif()

double Data::_energySignif ( const DataFuncArgs &  args) const

Definition at line 405 of file Data.cxx.

406 {
407  return energy()/noise();
408 }

◆ _eta()

double Data::_eta ( const DataFuncArgs &  args) const

Definition at line 501 of file Data.cxx.

501 { return m_history->cellInfo()->eta(); }

◆ _event()

int LArSamples::Data::_event ( const DataFuncArgs &  ) const
inline

Definition at line 204 of file Data.h.

204 { return event(); }

◆ _feedThrough()

int Data::_feedThrough ( const DataFuncArgs &  args) const

Definition at line 336 of file Data.cxx.

337 {
338  if (!m_history) return 0;
339  return m_history->cellInfo()->feedThrough();
340 }

◆ _gain()

int LArSamples::Data::_gain ( const DataFuncArgs &  ) const
inline

Definition at line 208 of file Data.h.

208 { return gain(); }

◆ _goodForShapeCorr()

int LArSamples::Data::_goodForShapeCorr ( const DataFuncArgs &  ) const
inline

Definition at line 260 of file Data.h.

260 { return (goodForShapeCorr() ? 1 : 0); }

◆ _hash()

int Data::_hash ( const DataFuncArgs &  args) const

Definition at line 357 of file Data.cxx.

358 {
359  if (!m_history) return 0;
360  return m_history->hash();
361 }

◆ _iEta()

int Data::_iEta ( const DataFuncArgs &  args) const

Definition at line 301 of file Data.cxx.

302 {
303  if (!m_history) return 0;
304  return m_history->cellInfo()->iEta();
305 }

◆ _index()

int LArSamples::Data::_index ( const DataFuncArgs &  ) const
inline

Definition at line 207 of file Data.h.

207 { return m_index; }

◆ _iPhi()

int Data::_iPhi ( const DataFuncArgs &  args) const

Definition at line 308 of file Data.cxx.

309 {
310  if (!m_history) return 0;
311  return m_history->cellInfo()->iPhi();
312 }

◆ _layer()

int Data::_layer ( const DataFuncArgs &  args) const

Definition at line 329 of file Data.cxx.

330 {
331  if (!m_history) return 0;
332  return m_history->cellInfo()->layer();
333 }

◆ _lumiBlock()

int LArSamples::Data::_lumiBlock ( const DataFuncArgs &  ) const
inline

Definition at line 205 of file Data.h.

205 { return lumiBlock(); }

◆ _maxPosition()

int LArSamples::Data::_maxPosition ( const DataFuncArgs &  ) const
inline

Definition at line 235 of file Data.h.

235 { return maxPosition(); }

◆ _maxValue()

double LArSamples::Data::_maxValue ( const DataFuncArgs &  ) const
inline

Definition at line 199 of file Data.h.

199 { return maxValue(); }

◆ _minValue()

double LArSamples::Data::_minValue ( const DataFuncArgs &  ) const
inline

Definition at line 200 of file Data.h.

200 { return minValue(); }

◆ _nData()

int Data::_nData ( const DataFuncArgs &  args) const

Definition at line 371 of file Data.cxx.

372 {
373  if (!m_history) return 0;
374  return m_history->nData();
375 }

◆ _noise()

double LArSamples::Data::_noise ( const DataFuncArgs &  ) const
inline

Definition at line 198 of file Data.h.

198 { return noise(); }

◆ _normResidualError()

double LArSamples::Data::_normResidualError ( const DataFuncArgs &  args) const
inline

Definition at line 221 of file Data.h.

221 { return residualError(args.i1, -1, false); }

◆ _normResidualOffset()

double LArSamples::Data::_normResidualOffset ( const DataFuncArgs &  args) const
inline

Definition at line 220 of file Data.h.

220 { return residualOffset(args.i1, false); }

◆ _null()

double LArSamples::Data::_null ( const DataFuncArgs &  ) const
inline

Definition at line 202 of file Data.h.

202 { return 0; }

◆ _ofcGamma()

double Data::_ofcGamma ( const DataFuncArgs &  args) const

Definition at line 577 of file Data.cxx.

578 {
579  double result = -9999;
580  if (!m_history) return result;
581  OFC* ofc = m_history->ofc(m_index);
582  if (ofc->isInRange(args.i1) && ofc->isInRange(args.i2))
583  result = ofc->Gamma()(args.i1, args.i2);
584  delete ofc;
585  return result;
586 }

◆ _ofcSigma()

double Data::_ofcSigma ( const DataFuncArgs &  args) const

Definition at line 565 of file Data.cxx.

566 {
567  double result = -9999;
568  if (!m_history) return result;
569  OFC* ofc = m_history->ofc(m_index);
570  if (ofc->isInRange(args.i1))
571  result = TMath::Sqrt(ofc->Gamma()(args.i1, args.i1));
572  delete ofc;
573  return result;
574 }

◆ _ofcTime()

double LArSamples::Data::_ofcTime ( const DataFuncArgs &  ) const
inline

Definition at line 192 of file Data.h.

192 { return ofcTime(); }

◆ _pass()

double LArSamples::Data::_pass ( const DataFuncArgs &  args) const
inline

Definition at line 270 of file Data.h.

270 { return isPassed(args.str); }

◆ _peakSignif()

double Data::_peakSignif ( const DataFuncArgs &  args) const

Definition at line 399 of file Data.cxx.

400 {
401  return maxValue()/pedestalRMS();
402 }

◆ _pedestal()

double LArSamples::Data::_pedestal ( const DataFuncArgs &  ) const
inline

Definition at line 194 of file Data.h.

194 { return pedestal(); }

◆ _pedestalRMS()

double LArSamples::Data::_pedestalRMS ( const DataFuncArgs &  ) const
inline

Definition at line 195 of file Data.h.

195 { return pedestalRMS(); }

◆ _pedestalSubstractedSample()

double LArSamples::Data::_pedestalSubstractedSample ( const DataFuncArgs &  args) const
inline

Definition at line 190 of file Data.h.

190 { return pedestalSubtractedSample(args.i1); }

◆ _phi()

double Data::_phi ( const DataFuncArgs &  args) const

Definition at line 502 of file Data.cxx.

502 { return m_history->cellInfo()->phi(); }

◆ _quality()

double LArSamples::Data::_quality ( const DataFuncArgs &  ) const
inline

Definition at line 193 of file Data.h.

193 { return quality(); }

◆ _refitChi2()

double Data::_refitChi2 ( const DataFuncArgs &  args) const

Definition at line 264 of file Data.cxx.

265 {
266  double chi2, k, dT;
267  if (!calcRefit(chi2, k, dT)) return -1;
268  return chi2;
269 }

◆ _refitDeltaT()

double Data::_refitDeltaT ( const DataFuncArgs &  args) const

Definition at line 248 of file Data.cxx.

249 {
250  double chi2, k, dT;
251  if (!calcRefit(chi2, k, dT)) return -9999;
252  return dT;
253 }

◆ _refitScale()

double Data::_refitScale ( const DataFuncArgs &  args) const

Definition at line 256 of file Data.cxx.

257 {
258  double chi2, k, dT;
259  if (!calcRefit(chi2, k, dT)) return -1;
260  return k;
261 }

◆ _region()

int Data::_region ( const DataFuncArgs &  args) const

Definition at line 315 of file Data.cxx.

316 {
317  if (!m_history) return 0;
318  return m_history->cellInfo()->region();
319 }

◆ _resCorrN()

double LArSamples::Data::_resCorrN ( const DataFuncArgs &  ) const
inline

Definition at line 212 of file Data.h.

212 { return resCorrN(CellShapeError); }

◆ _residual()

double LArSamples::Data::_residual ( const DataFuncArgs &  args) const
inline

Definition at line 210 of file Data.h.

210 { return residual(args.i1); }

◆ _residualError()

double LArSamples::Data::_residualError ( const DataFuncArgs &  args) const
inline

Definition at line 219 of file Data.h.

219 { return residualError(args.i1); }

◆ _residualOffset()

double LArSamples::Data::_residualOffset ( const DataFuncArgs &  args) const
inline

Definition at line 211 of file Data.h.

211 { return residualOffset(args.i1); }

◆ _ring()

int Data::_ring ( const DataFuncArgs &  args) const

Definition at line 364 of file Data.cxx.

365 {
366  if (!m_history) return 0;
367  return m_history->cellInfo()->globalPhiRing();
368 }

◆ _rt()

double Data::_rt ( const DataFuncArgs &  args) const

Definition at line 500 of file Data.cxx.

500 { return m_history->cellInfo()->rt(); }

◆ _run()

int LArSamples::Data::_run ( const DataFuncArgs &  ) const
inline

Definition at line 203 of file Data.h.

203 { return run(); }

◆ _sample()

double LArSamples::Data::_sample ( const DataFuncArgs &  args) const
inline

Definition at line 189 of file Data.h.

189 { return sample(args.i1); }

◆ _slot()

int Data::_slot ( const DataFuncArgs &  args) const

Definition at line 343 of file Data.cxx.

344 {
345  if (!m_history) return 0;
346  return m_history->cellInfo()->slot();
347 }

◆ _timeECorr()

double Data::_timeECorr ( const DataFuncArgs &  args) const

Definition at line 642 of file Data.cxx.

643 {
644  // Modify this to add Isabelle's correction
645  return ofcTime();
646 }

◆ _timeForSplash1()

double Data::_timeForSplash1 ( const DataFuncArgs &  args) const

Definition at line 385 of file Data.cxx.

386 {
387  if (!m_history) return -9999;
388  return _timeNoTOF(args) + m_history->cellInfo()->position().z()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
389 }

◆ _timeForSplash2()

double Data::_timeForSplash2 ( const DataFuncArgs &  args) const

Definition at line 392 of file Data.cxx.

393 {
394  if (!m_history) return -9999;
395  return _timeNoTOF(args) - m_history->cellInfo()->position().z()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
396 }

◆ _timeNoTOF()

double Data::_timeNoTOF ( const DataFuncArgs &  args) const

Definition at line 378 of file Data.cxx.

379 {
380  if (!m_history) return -9999;
381  return ofcTime() + m_history->cellInfo()->position().Mag()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
382 }

◆ _upstreamE()

double LArSamples::Data::_upstreamE ( const DataFuncArgs &  ) const
inline

Definition at line 261 of file Data.h.

261 { return upstreamEnergy(); }

◆ _upstreamERatio()

double Data::_upstreamERatio ( const DataFuncArgs &  args) const

Definition at line 589 of file Data.cxx.

590 {
591  double upe = upstreamEnergy();
592  if (upe < 0 || energy() == 0) return -1;
593  return upe/energy();
594 }

◆ _x()

double Data::_x ( const DataFuncArgs &  args) const

Definition at line 497 of file Data.cxx.

497 { return m_history->cellInfo()->position().X(); }

◆ _xi()

double LArSamples::Data::_xi ( const DataFuncArgs &  args) const
inline

Definition at line 213 of file Data.h.

213 { return xi(args.i1); }

◆ _xiCell()

double LArSamples::Data::_xiCell ( const DataFuncArgs &  args) const
inline

Definition at line 214 of file Data.h.

214 { return xi(args.i1, CellShapeError, args.i2 >= 0 ? (CaloGain::CaloGain)args.i2 : CaloGain::UNKNOWNGAIN); }

◆ _xiNormCell()

double LArSamples::Data::_xiNormCell ( const DataFuncArgs &  ) const
inline

Definition at line 216 of file Data.h.

216 { return xiNorm(CellShapeError); }

◆ _xiNormRing()

double LArSamples::Data::_xiNormRing ( const DataFuncArgs &  ) const
inline

Definition at line 217 of file Data.h.

217 { return xiNorm(RingShapeError); }

◆ _xip()

double LArSamples::Data::_xip ( const DataFuncArgs &  args) const
inline

Definition at line 218 of file Data.h.

218 { return xip(args.i1); }

◆ _xiRing()

double LArSamples::Data::_xiRing ( const DataFuncArgs &  args) const
inline

Definition at line 215 of file Data.h.

215 { return xi(args.i1, RingShapeError, args.i2 >= 0 ? (CaloGain::CaloGain)args.i2 : CaloGain::UNKNOWNGAIN); }

◆ _y()

double Data::_y ( const DataFuncArgs &  args) const

Definition at line 498 of file Data.cxx.

498 { return m_history->cellInfo()->position().Y(); }

◆ _z()

double Data::_z ( const DataFuncArgs &  args) const

Definition at line 499 of file Data.cxx.

499 { return m_history->cellInfo()->position().Z(); }

◆ adc2MeV()

double LArSamples::Data::adc2MeV ( ) const
inline

Definition at line 126 of file Data.h.

126 { return (adcMax() > 0 && energy() > 0 ? energy()/adcMax() : -1); }

◆ adcMax()

double LArSamples::Data::adcMax ( ) const
inline
Returns
OFC peak parameters

Definition at line 124 of file Data.h.

124 { return container().adcMax(); }

◆ adcMax_new()

double Data::adcMax_new ( ) const

Definition at line 69 of file Data.cxx.

70 {
71  return ((energy()/noise())*pedestalRMS());
72 
73 }

◆ bunchId()

int Data::bunchId ( ) const

Definition at line 30 of file Data.cxx.

30 { return eventData()->bunchId(); }

◆ calcAdjust()

bool Data::calcAdjust ( double &  k,
double &  dT 
) const

Definition at line 272 of file Data.cxx.

273 {
274  if (!m_history) return false;
275  OFC* ofc = m_history->ofc(m_index);
276  if (!ofc) return false;
277 
278  k = ofc->A(*this)/adcMax();
279  dT = ofc->time(*this);
280  delete ofc;
281  return true;
282 }

◆ calcRefit()

bool Data::calcRefit ( double &  chi2,
double &  k,
double &  dT 
) const

Definition at line 232 of file Data.cxx.

233 {
234  ShapeFitter fitter;
235  SimpleShape* reference = referenceShape();
236  const ScaledErrorData* sed = scaledErrorData();
237  if (!reference){
238  delete sed;
239  return false;
240  }
241  bool result = fitter.fit(*this, *reference, k, dT, chi2, sed);
242  delete sed;
243  delete reference;
244  return result;
245 }

◆ chi2()

double Data::chi2 ( ) const

Definition at line 197 of file Data.cxx.

198 {
199  if (!m_history) return 0;
200  return m_history->chi2(m_index);
201 }

◆ container()

const DataContainer& LArSamples::Data::container ( ) const
inline

Definition at line 156 of file Data.h.

156 { return *m_container; }

◆ covariance()

double Data::covariance ( unsigned int  i,
unsigned int  j 
) const
virtual

Implements LArSamples::AbsShape.

Definition at line 75 of file Data.cxx.

76 {
77  if (i >= nSamples() || j >= nSamples()) return 0;
78  const std::vector<float>& corrs = m_container->corrs();
79  unsigned int index = TMath::Abs(int(i) - int(j)); // we use time-translation-invariant correlations...
80  if (index >= corrs.size()) return 0;
81  double corr = corrs[index];
82  return corr*pedestalRMS()*pedestalRMS()/(noise()*noise()); // hack to correct the noise per sample/ADC_max noise error
83 }

◆ covarianceMatrix() [1/2]

CovMatrix AbsShape::covarianceMatrix ( int  lwb = -1,
int  upb = -1,
const CovMatrix &  refErr = CovMatrix(),
bool  withCorrs = true 
) const
inherited

Definition at line 198 of file AbsShape.cxx.

201 {
202  if (lwb < 0 || upb < 0) { lwb = 0; upb = nPoints() - 1; }
203  CovMatrix c(lwb, upb);
204  for (int i = lwb; i <= upb; i++) {
205  for (int j = lwb; j <= upb; j++) {
206  double cov = (withCorrs || i == j ? covariance(i, j) : 0);
207  if (refErr.GetNrows() > 0) cov += refErr(i, j);
208  c(i, j) = cov;
209  }
210  }
211  return c;
212 }

◆ covarianceMatrix() [2/2]

CovMatrix AbsShape::covarianceMatrix ( unsigned int  nPoints,
bool  withCorrs = true 
) const
inherited

Definition at line 223 of file AbsShape.cxx.

225 {
226  return covarianceMatrix(0, n - 1, CovMatrix(), withCorrs);
227 }

◆ covarianceMeV()

double Data::covarianceMeV ( unsigned int  i,
unsigned int  j 
) const

Definition at line 86 of file Data.cxx.

87 {
88  double adc2mev = adc2MeV();
89  if (adc2mev < 0) return 0;
90  return covariance(i,j)*adc2mev*adc2mev; // we use time-translation-invariant correlations...
91  //return (i == j ? m_corrs[0] : 0); // temporary
92 }

◆ delta()

double Data::delta ( short  sample) const

Definition at line 427 of file Data.cxx.

428 {
429  double val = 0;
430  if (!m_history || !m_history->delta(m_index, sample, val)) return -9999;
431  return val;
432 }

◆ deltas()

TVectorD Data::deltas ( ) const

Definition at line 411 of file Data.cxx.

412 {
413  if (!m_history) return TVectorD();
414  return m_history->deltas(m_index);
415 }

◆ description()

TString Data::description ( unsigned int  verbosity = 1) const

Definition at line 514 of file Data.cxx.

515 {
516  TString desc = "";
517  desc += Form("%d samples, ", nSamples());
518  desc += "gain = " + gainStr(gain()) + ", ";
519  desc += Form("energy = %6.1f MeV, ", energy());
520  if (verbosity >= 2) desc += Form("ADCMax = %6.1f, ", adcMax());
521  desc += Form("time = %6.1f ns, ", ofcTime());
522  if (verbosity >= 2) desc += Form("chi^2/n = %6.1f, ", chi2());
523  desc += Form("run = %d, event = %d, ", run(), event());
524  desc += Form("problems = %s", problems(true).Data());
525  return desc;
526 }

◆ dissolve()

const DataContainer * Data::dissolve ( )

Definition at line 56 of file Data.cxx.

57 {
58  const DataContainer* container = new DataContainer(*m_container);
59  delete this;
60  return container;
61 }

◆ energy()

double LArSamples::Data::energy ( ) const
inline
Returns
energy

Definition at line 108 of file Data.h.

108 { return container().energy(); }

◆ error()

double AbsShape::error ( unsigned int  i) const
virtualinherited

Reimplemented in LArSamples::ScaledShiftedShape.

Definition at line 24 of file AbsShape.cxx.

25 {
26  return TMath::Sqrt(covariance(i, i));
27 }

◆ event()

int Data::event ( ) const
Returns
event

Definition at line 28 of file Data.cxx.

28 { return eventData()->event(); }

◆ eventData()

const EventData* LArSamples::Data::eventData ( ) const
inline

Definition at line 95 of file Data.h.

95 { return m_eventData; }

◆ febError()

bool Data::febError ( LArFebErrorSummary::LArFebErrorType  error) const

Definition at line 111 of file Data.cxx.

112 {
113  return ((status() >> (error + 17)) & 0x1) != 0;
114 }

◆ findTimeInterval()

int AbsShape::findTimeInterval ( double  time) const
inherited

Definition at line 71 of file AbsShape.cxx.

72 {
73  if (t < time(0)) return -1;
74  if (t > time(nPoints() - 1)) return int(nPoints()) - 1;
75 
76  for (unsigned int i = 0; i < nPoints() - 1; i++)
77  if (time(i) <= t && t < time(i+1)) return i;
78 
79  return nPoints() - 1;
80 }

◆ footprint()

double LArSamples::Data::footprint ( ) const
inline

Definition at line 138 of file Data.h.

138 { return sizeof(*this) + nSamples()*sizeof(short); }

◆ gain()

CaloGain::CaloGain LArSamples::Data::gain ( ) const
inline
Returns
gain value

Definition at line 85 of file Data.h.

85 { return container().gain(); }

◆ gainStr()

TString Data::gainStr ( CaloGain::CaloGain  gain)
static

Definition at line 505 of file Data.cxx.

506 {
507  if (gain == CaloGain::LARHIGHGAIN) return "HIGH";
508  if (gain == CaloGain::LARMEDIUMGAIN) return "MEDIUM";
509  if (gain == CaloGain::LARLOWGAIN) return "LOW";
510  return "";
511 }

◆ goodForShapeCorr()

bool Data::goodForShapeCorr ( ) const

Definition at line 535 of file Data.cxx.

536 {
537  if (adcMax() < 0) return false;
538 
539  CaloId caloId = (m_history ? m_history->cellInfo()->calo() : UNKNOWN_CALO);
540  //short layer = (m_history ? m_history->cellInfo()->layer() : -1);
541 
542  //if (Id::matchCalo(caloId, FCAL) && energy()/noise() < 250) return false;
543  if (Id::matchCalo(caloId, FCAL)) return false;
544  if (Id::matchCalo(caloId, HEC) && energy()/noise() < 20) return false;
545  if (Id::matchCalo(caloId, EMEC_INNER) && energy()/noise() < 250) return false;
546  if (Id::matchCalo(caloId, EMEC_OUTER) && energy()/noise() < 50) return false;
547  if (Id::matchCalo(caloId, EMB) && energy()/noise() < 30) return false;
548 
549  if (Id::matchCalo(caloId, HEC)) {
550  if (TMath::Abs(ofcTime()) > 10) return false;
551  }
552  else {
553  if (TMath::Abs(ofcTime()) > 5) return false;
554  }
555 
556  return true;
557 }

◆ graph()

TGraphErrors * AbsShape::graph ( bool  timeInUnitOfSamples = false) const
inherited

Definition at line 186 of file AbsShape.cxx.

187 {
188  TGraphErrors* graph = new TGraphErrors(nPoints());
189  double unit = (timeInUnitOfSamples ? Definitions::samplingInterval : 1);
190  for (unsigned int i = 0; i < nPoints(); i++) {
191  graph->SetPoint(i, time(i)/unit, value(i));
192  graph->SetPointError(i, 0, error(i));
193  }
194  return graph;
195 }

◆ history()

const History* LArSamples::Data::history ( ) const
inline

Definition at line 165 of file Data.h.

165 { return m_history; }

◆ index()

short LArSamples::Data::index ( ) const
inline

Definition at line 166 of file Data.h.

166 { return m_index; }

◆ interpolate() [1/2]

bool AbsShape::interpolate ( const AbsShape &  other,
TVectorD &  values,
CovMatrix &  errors,
int  lwb = -1,
int  upb = -1 
) const
inherited

Definition at line 147 of file AbsShape.cxx.

148 {
149  if (lwb < 0) lwb = 0;
150  if (upb < 0) upb = other.nPoints() - 1;
151  values.ResizeTo(lwb, upb);
152  errors.ResizeTo(lwb, upb, lwb, upb);
153  int actualLwb = -1, actualUpb = upb;
154  for (int i = lwb; i <= upb; i++) {
155  double val, err;
156  int stat = interpolate(other.time(i), val, err);
157  if (stat == 0 && actualLwb < 0) actualLwb = i;
158  if (stat == +1) { actualUpb = i - 1; break; }
159  values(i) = val;
160  errors(i, i) = err*err;
161  }
162  values.ResizeTo(actualLwb, actualUpb);
163  errors.ResizeTo(actualLwb, actualUpb, actualLwb, actualUpb);
164  return (actualLwb >= 0);
165 }

◆ interpolate() [2/2]

int AbsShape::interpolate ( double  time,
double &  value,
double &  error 
) const
inherited

Definition at line 83 of file AbsShape.cxx.

84 {
85  if (nPoints() < 2) return -1;
86 
87  int status = 0;
88  int i1 = findTimeInterval(t);
89 
90  if (i1 < 0) {
91  status = -1;
92  i1 = 0;
93  }
94 
95  if (i1 > int(nPoints()) - 2) {
96  status = 1;
97  i1 = nPoints() - 2;
98  }
99 
100  double delta = (t - time(i1))/(time(i1+1) - time(i1));
101  val = value(i1) + delta*(value(i1 + 1) - value(i1));
102  err = error(i1) + delta*(error(i1 + 1) - error(i1));
103  //cout << t << " " << i1 << " " << time(i1) << " " << delta << " " << value(i1) << " " << value(i1+1) << " " << val << " " << status << endl;
104  return status;
105 }

◆ interpolateDiff() [1/2]

bool AbsShape::interpolateDiff ( const AbsShape &  other,
TVectorD &  diffs,
int  lwb = -1,
int  upb = -1 
) const
inherited

Definition at line 168 of file AbsShape.cxx.

169 {
170  if (lwb < 0) lwb = 0;
171  if (upb < 0) upb = other.nPoints() - 1;
172  diffs.ResizeTo(lwb, upb);
173  int actualLwb = -1, actualUpb = upb;
174  for (int i = lwb; i <= upb; i++) {
175  double diff;
176  int stat = interpolateDiff(other.time(i), diff);
177  if (stat == 0 && actualLwb < 0) actualLwb = i;
178  if (stat == +1) { actualUpb = i - 1; break; }
179  diffs(i) = diff;
180  }
181  diffs.ResizeTo(actualLwb, actualUpb);
182  return (actualLwb >= 0);
183 }

◆ interpolateDiff() [2/2]

int AbsShape::interpolateDiff ( double  time,
double &  diff 
) const
inherited

Definition at line 108 of file AbsShape.cxx.

109 {
110  int status = 0;
111  int i1 = findTimeInterval(t);
112  if (i1 < 0) {
113  i1 = 0;
114  status = -1;
115  }
116  if (i1 > int(nPoints()) - 1) {
117  i1 = nPoints() - 1;
118  status = 1;
119  }
120  if (i1 > 1 && i1 < int(nPoints()) - 2)
121  diff = (value(i1 - 2) - 8*value(i1 - 1) + 8*value(i1 + 1) - value(i1 + 2))/(time(i1 + 2) - time(i1 - 2))/3;
122  else
123  if (i1 > 0)
124  if (i1 < int(nPoints()) - 1)
125  diff = (value(i1 + 1) - value(i1 - 1))/(time(i1 + 1) - time(i1 - 1));
126  else
127  diff = (value(i1) - value(i1 - 1))/(time(i1) - time(i1 - 1));
128  else
129  diff = (value(i1 + 1) - value(i1))/(time(i1 + 1) - time(i1));
130 
131  return status;
132 }

◆ invCovarianceMatrix() [1/2]

CovMatrix AbsShape::invCovarianceMatrix ( int  lwb = -1,
int  upb = -1,
const CovMatrix &  refErr = CovMatrix(),
bool  withCorrs = true 
) const
inherited

Definition at line 215 of file AbsShape.cxx.

218 {
219  return covarianceMatrix(lwb, upb, refErr, withCorrs).Invert();
220 }

◆ invCovarianceMatrix() [2/2]

CovMatrix AbsShape::invCovarianceMatrix ( unsigned int  nPoints,
bool  withCorrs = true 
) const
inherited

Definition at line 230 of file AbsShape.cxx.

232 {
233  return covarianceMatrix(n, withCorrs).Invert();
234 }

◆ isDisconnected()

bool Data::isDisconnected ( ) const

Definition at line 106 of file Data.cxx.

107 {
108  return ((status() >> 16) & 0x1) != 0;
109 }

◆ isPassed()

bool Data::isPassed ( const TString &  bitName) const

Definition at line 529 of file Data.cxx.

530 {
531  return (eventData() ? eventData()->isPassed(bitName) : false);
532 }

◆ isValid()

bool Data::isValid ( ) const

Definition at line 154 of file Data.cxx.

155 {
156  if (!m_container) return false;
157  if (!container().isValid()) return false;
158  return true;
159 }

◆ lumiBlock()

int Data::lumiBlock ( ) const
Returns
lumi block

Definition at line 29 of file Data.cxx.

29 { return eventData()->lumiBlock(); }

◆ maxPosition()

int AbsShape::maxPosition ( ) const
inherited

Definition at line 52 of file AbsShape.cxx.

53 {
54  int maxPosition = -1;
55  double maxValue = -1;
56  for (unsigned int i = 0; i < nPoints(); i++)
57  if (value(i) > maxValue) { maxPosition = i; maxValue = value(i); }
58  return maxPosition;
59 }

◆ maxSample()

short Data::maxSample ( ) const

Definition at line 162 of file Data.cxx.

163 {
164  int maxPos = maxPosition();
165  if (maxPos >= 0) return sample(maxPos);
166  return -1;
167 }

◆ maxValue()

double AbsShape::maxValue ( bool  withErrors = false) const
inherited
Returns
sample max parameters

Definition at line 30 of file AbsShape.cxx.

31 {
32  double maxValue = -DBL_MAX;
33  for (unsigned int i = 0; i < nPoints(); i++) {
34  double val = value(i) + (withErrors ? error(i) : 0);
35  if (val > maxValue) maxValue = val;
36  }
37  return maxValue;
38 }

◆ meV2ADC()

double LArSamples::Data::meV2ADC ( ) const
inline

Definition at line 125 of file Data.h.

125 { return (adcMax() > 0 && energy() > 0 ? adcMax()/energy() : -1); }

◆ minPosition()

int AbsShape::minPosition ( ) const
inherited

Definition at line 61 of file AbsShape.cxx.

62 {
63  int minPosition = -1;
64  double minValue = Definitions::none;
65  for (unsigned int i = 0; i < nPoints(); i++)
66  if (value(i) < minValue) { minPosition = i; minValue = value(i); }
67  return minPosition;
68 }

◆ minSample()

short Data::minSample ( ) const

Definition at line 169 of file Data.cxx.

170 {
171  int minPos = minPosition();
172  if (minPos >= 0) return sample(minPos);
173  return -1;
174 }

◆ minValue()

double AbsShape::minValue ( bool  withErrors = false) const
inherited

Definition at line 41 of file AbsShape.cxx.

42 {
43  double minValue = DBL_MAX;
44  for (unsigned int i = 0; i < nPoints(); i++) {
45  double val = value(i) - (withErrors ? error(i) : 0);
46  if (val < minValue) minValue = val;
47  }
48  return minValue;
49 }

◆ nCorrs()

unsigned int LArSamples::Data::nCorrs ( ) const
inline

Definition at line 149 of file Data.h.

149 { return container().corrs().size(); }

◆ noise()

double Data::noise ( ) const

Definition at line 64 of file Data.cxx.

65 {
66  return (m_container->corrs().empty() ? 0 : TMath::Sqrt(m_container->corrs()[0]));
67 }

◆ nPoints()

unsigned int LArSamples::Data::nPoints ( ) const
inlinevirtual
Returns
data points

Implements LArSamples::AbsShape.

Definition at line 144 of file Data.h.

144 { return nSamples(); }

◆ nSamples()

unsigned int LArSamples::Data::nSamples ( ) const
inline
Returns
number of samples

Definition at line 88 of file Data.h.

88 { return container().nSamples(); }

◆ ofcTime()

double LArSamples::Data::ofcTime ( ) const
inline
Returns
time

Definition at line 111 of file Data.h.

111 { return container().ofcTime() + m_timeShift; }

◆ pedestal()

double LArSamples::Data::pedestal ( ) const
inline
Returns
pedestal

Definition at line 117 of file Data.h.

117 { return container().pedestal(); }

◆ pedestalRMS()

double LArSamples::Data::pedestalRMS ( ) const
inline

Definition at line 118 of file Data.h.

118 { return container().pedestalRMS(); }

◆ pedestalSubtractedSample()

float LArSamples::Data::pedestalSubtractedSample ( unsigned int  i) const
inline

Definition at line 92 of file Data.h.

92 { return sample(i) - pedestal(); }

◆ pedestalSubtractedSamples()

std::vector< float > Data::pedestalSubtractedSamples ( ) const

Definition at line 95 of file Data.cxx.

96 {
97  std::vector<float> samples;
98 
99  for (unsigned int i = 0; i < nSamples(); i++)
100  samples.push_back(pedestalSubtractedSample(i));
101 
102  return samples;
103 }

◆ problems()

TString Data::problems ( bool  sayNone = false) const

Definition at line 135 of file Data.cxx.

136 {
137  if (isDisconnected()) return "DISCONNECTED";
138 
139 /*
140  TString problems = "";
141  for (CaloBadChannel::CALOPROBLEM pb = CaloBadChannel::DEAD; pb < CaloBadChannel::NPB; pb = CaloBadChannel::CALOPROBLEM(pb + 1))
142  if (problem(pb)) {
143  if (problems != "") problems += " ";
144  problems += str(pb);
145  }
146 */
147 
148  TString problems = "";
149  if (problems =="" && sayNone) problems = "None";
150  return problems;
151 }

◆ quality()

double LArSamples::Data::quality ( ) const
inline
Returns
pedestal

Definition at line 114 of file Data.h.

114 { return container().quality(); }

◆ referenceShape()

SimpleShape * Data::referenceShape ( ) const

Definition at line 183 of file Data.cxx.

184 {
185  if (!m_history) return nullptr;
186  return m_history->referenceShape(m_index);
187 }

◆ resample()

SimpleShape * AbsShape::resample ( unsigned int  nPts) const
inherited

Definition at line 237 of file AbsShape.cxx.

238 {
239  std::vector<double> values, errors;
240  double t0 = time(0);
241  double t1 = time(nPoints() - 1);
242  double dT = (t1 - t0)/nPts;
243  double t = t0;
244  for (unsigned int i = 0; i < nPts; i++, t += dT) {
245  double val, err;
246  int inRange = interpolate(t, val, err);
247  if (inRange != 0) return nullptr;
248  values.push_back(val);
249  errors.push_back(err);
250  }
251 
252  return new SimpleShape(values, errors, dT, t0);
253 }

◆ resCorrN()

double Data::resCorrN ( ShapeErrorType  shapeErrorType = BestShapeError) const

Definition at line 443 of file Data.cxx.

444 {
445  if (!m_history) return -999;
446  const ShapeErrorData* sed = m_history->shapeErrorData(gain(), type);
447  return (sed ? sed->n() : 0);
448 }

◆ residual()

double Data::residual ( short  sample) const

Definition at line 435 of file Data.cxx.

436 {
437  double val = 0;
438  if (!m_history || adcMax() < 0 || !m_history->delta(m_index, sample, val)) return -9999;
439  return val/adcMax();
440 }

◆ residualError()

double Data::residualError ( short  sample1,
short  sample2 = -1,
bool  scale = true 
) const

Definition at line 489 of file Data.cxx.

490 {
491  double val = 0;
492  if (!m_history || !m_history->residualError(m_index, sample1, sample2, val, scale)) return -9999;
493  return val;
494 }

◆ residualOffset()

double Data::residualOffset ( short  sample,
bool  scale = true 
) const

Definition at line 451 of file Data.cxx.

452 {
453  double val = 0;
454  if (!m_history || !m_history->residualOffset(m_index, sample, val, (scale ? -1 : 1))) return -9999;
455  return val;
456 }

◆ residuals()

TVectorD Data::residuals ( ) const

Definition at line 418 of file Data.cxx.

419 {
420  if (!m_history || adcMax() < 0) return TVectorD();
421  TVectorD resv = m_history->deltas(m_index);
422  for (int i = 0; i < resv.GetNrows(); i++) resv(i) /= adcMax();
423  return resv;
424 }

◆ run()

int Data::run ( ) const
Returns
run

Definition at line 27 of file Data.cxx.

27 { return eventData()->run(); }

◆ sample()

const short& LArSamples::Data::sample ( unsigned int  i) const
inline
Returns
a sample value

Definition at line 91 of file Data.h.

91 { return container().sample(i); }

◆ scaledErrorData()

const ScaledErrorData * Data::scaledErrorData ( ) const

Definition at line 190 of file Data.cxx.

191 {
192  if (!m_history) return nullptr;
193  return m_history->scaledErrorData(m_index);
194 }

◆ setCallBacks()

void LArSamples::Data::setCallBacks ( const History *  history,
unsigned int  index 
) const
inline

Definition at line 272 of file Data.h.

272 { m_history = history; m_index = index; }

◆ setTimeShift()

static void LArSamples::Data::setTimeShift ( double  shift = 0)
inlinestatic

Definition at line 276 of file Data.h.

276 { m_timeShift = shift; }

◆ status()

int LArSamples::Data::status ( ) const
inline
Returns
status

Definition at line 121 of file Data.h.

121 { return m_container->status(); }

◆ str()

TString Data::str ( LArFebErrorSummary::LArFebErrorType  error)
static

Definition at line 116 of file Data.cxx.

117 {
118  if (error == LArFebErrorSummary::Parity) return "Parity";
119  if (error == LArFebErrorSummary::BCID) return "BCID";
120  if (error == LArFebErrorSummary::SampleHeader) return "SampleHeader";
121  if (error == LArFebErrorSummary::EVTID) return "EVTID";
122  if (error == LArFebErrorSummary::ScacStatus) return "ScacStatus";
123  if (error == LArFebErrorSummary::ScaOutOfRange) return "ScaOutOfRange";
124  if (error == LArFebErrorSummary::GainMismatch) return "GainMismatch";
125  if (error == LArFebErrorSummary::TypeMismatch) return "TypeMismatch";
126  if (error == LArFebErrorSummary::NumOfSamples) return "NumOfSamples";
127  if (error == LArFebErrorSummary::EmptyDataBlock) return "EmptyDataBlock";
128  if (error == LArFebErrorSummary::DspBlockSize) return "DspBlockSize";
129  if (error == LArFebErrorSummary::CheckSum) return "CheckSum";
130  if (error == LArFebErrorSummary::MissingHeader) return "MissingHeader";
131  return "";
132 }

◆ time()

double LArSamples::Data::time ( unsigned int  i) const
inlinevirtual

Implements LArSamples::AbsShape.

Definition at line 145 of file Data.h.

145 { return Definitions::samplingTime(i); }

◆ timeAlignedShape()

SimpleShape * Data::timeAlignedShape ( ) const

Definition at line 177 of file Data.cxx.

178 {
179  return new SimpleShape(*this, 1, -ofcTime());
180 }

◆ timeClCorr()

double Data::timeClCorr ( ) const

Definition at line 603 of file Data.cxx.

604 {
605  if (!m_history) return -9999.;
606  Double_t timeClCorr=-99.;
607 
608  if(run()==203636) timeClCorr = ofcTime() + 0.04;
609  else if(run()==203680) timeClCorr = ofcTime() + 0.109155;
610  else if(run()==203719) timeClCorr = ofcTime() + 0.141762;
611  else if(run()==203745) timeClCorr = ofcTime() - 0.107597;
612  else if(run()==203779) timeClCorr = ofcTime() - 0.0032581;
613  else if(run()==203876) timeClCorr = ofcTime() + 0.109328;
614  else if(run()==203934) timeClCorr = ofcTime() - 0.0404719;
615  else if(run()==204073) timeClCorr = ofcTime() - 0.0244807;
616  else if(run()==204153) timeClCorr = ofcTime() + 0.185949;
617  else if(run()==204158) timeClCorr = ofcTime() + 0.0383347;
618  else if(run()==204240) timeClCorr = ofcTime() + 0.0635586;
619  else if(run()==204265) timeClCorr = ofcTime() + 0.13898;
620  else if(run()==204416) timeClCorr = ofcTime() + 0.1074;
621  else if(run()==204564) timeClCorr = ofcTime() + 0.0369925;
622  else if(run()==210302) timeClCorr = ofcTime() - 0.2;
623  else if(run()==210308) timeClCorr = ofcTime() - 0.2;
624  else timeClCorr = ofcTime();
625 
626  return timeClCorr;
627 }

◆ timeECorr()

double Data::timeECorr ( ) const

Definition at line 629 of file Data.cxx.

630 {
631  if (!m_history) return -9999.;
632  Double_t timeCorr=-99.;
633 
634  // Int_t calo = m_history->cellInfo()->calo();
635  // Double_t p0, p1, p2, p3;
636 
637  timeCorr=ofcTime();
638 
639  return timeCorr;
640 }

◆ timeShift()

static double LArSamples::Data::timeShift ( )
inlinestatic

Definition at line 275 of file Data.h.

275 { return m_timeShift; }

◆ upstreamEnergy()

double Data::upstreamEnergy ( ) const

Definition at line 559 of file Data.cxx.

560 {
561  if (!m_history) return -1;
562  return m_history->upstreamEnergy(m_index);
563 }

◆ value()

double LArSamples::Data::value ( unsigned int  i) const
inlinevirtual

Implements LArSamples::AbsShape.

Definition at line 146 of file Data.h.

146 { return pedestalSubtractedSample(i); }

◆ values()

TVectorD AbsShape::values ( int  lwb,
int  upb 
) const
inherited

Definition at line 135 of file AbsShape.cxx.

136 {
137  if (lwb < 0) lwb = 0;
138  if (upb < 0) upb = (int)nPoints() - 1;
139  if (upb >= (int)nPoints()) upb = (int)nPoints() - 1;
140  TVectorD vals(lwb, upb);
141  for (int i = lwb; i <= upb; i++)
142  vals(i) = value(i);
143  return vals;
144 }

◆ xi()

double Data::xi ( short  sample,
ShapeErrorType  shapeErrorType = BestShapeError,
CaloGain::CaloGain  g = CaloGain::UNKNOWNGAIN,
bool  xip = false 
) const

Definition at line 459 of file Data.cxx.

460 {
461  if (!m_history) return -999;
462  //njpb don't see the point of next line, commenting out
463  //if (g != CaloGain::UNKNOWNGAIN && type != RingShapeError) type = CellShapeError;
464  const ShapeErrorData* sed = m_history->shapeErrorData(g == CaloGain::UNKNOWNGAIN ? gain() : g, type);
465  if (!sed) return -999;
466  double val = (sed->isInRange(sample) ? (xip ? sed->xip()(sample) : sed->xi()(sample)) : -999);
467  delete sed;
468  return val;
469 }

◆ xiNorm()

double Data::xiNorm ( ShapeErrorType  shapeErrorType = BestShapeError) const

Definition at line 472 of file Data.cxx.

473 {
474  if (!m_history) return -1;
475  const ShapeErrorData* sed = m_history->shapeErrorData(gain(), type);
476  if (!sed) return -1;
477  double val = TMath::Sqrt(sed->xi().Norm2Sqr());
478  delete sed;
479  return val;
480 }

◆ xip()

double Data::xip ( short  sample,
ShapeErrorType  shapeErrorType = BestShapeError,
CaloGain::CaloGain  g = CaloGain::UNKNOWNGAIN 
) const

Definition at line 483 of file Data.cxx.

484 {
485  return xi(sample, type, g, true);
486 }

Friends And Related Function Documentation

◆ DataTweaker

friend class DataTweaker
friend

Definition at line 273 of file Data.h.

Member Data Documentation

◆ m_container

const DataContainer* const LArSamples::Data::m_container
private

Definition at line 281 of file Data.h.

◆ m_eventData

const EventData* const LArSamples::Data::m_eventData
private

Definition at line 282 of file Data.h.

◆ m_history

const History* LArSamples::Data::m_history
mutableprivate

Definition at line 283 of file Data.h.

◆ m_index

unsigned int LArSamples::Data::m_index
mutableprivate

Definition at line 284 of file Data.h.

◆ m_timeShift

std::atomic<double> LArSamples::Data::m_timeShift {0}
inlinestaticprivate

Definition at line 285 of file Data.h.

The documentation for this class was generated from the following files:
LArSamples::Data::sample
const short & sample(unsigned int i) const
Definition: Data.h:91
LArSamples::Data::Data
Data(const DataContainer &container, const EventData &eventData, const History *history, int index, bool takeOwnership=false)
Constructor
Definition: Data.cxx:32
LArFebErrorSummary::CheckSum
@ CheckSum
Definition: LArFebErrorSummary.h:28
LArSamples::Data::upstreamEnergy
double upstreamEnergy() const
Definition: Data.cxx:559
LArSamples::FitterData::fitter
const ShapeFitter * fitter
Definition: ShapeFitter.cxx:23
plotBeamSpotCompare.x1
x1
Definition: plotBeamSpotCompare.py:216
LArSamples::AbsShape::covariance
virtual double covariance(unsigned int i, unsigned int j) const =0
LArSamples::Data::noise
double noise() const
Definition: Data.cxx:64
LArSamples::Data::calcAdjust
bool calcAdjust(double &k, double &dT) const
Definition: Data.cxx:272
LArSamples::HEC
@ HEC
Definition: CaloId.h:26
LArSamples::History::hash
unsigned int hash() const
Definition: History.h:86
LArSamples::CellInfo::globalPhiRing
short globalPhiRing() const
Definition: CellInfo.cxx:125
xAOD::short
short
Definition: Vertex_v1.cxx:165
LArSamples::CellInfo::slot
short slot() const
Definition: CellInfo.h:68
LArSamples::Data::container
const DataContainer & container() const
Definition: Data.h:156
get_generator_info.result
result
Definition: get_generator_info.py:21
LArSamples::CellInfo::calo
CaloId calo() const
Definition: CellInfo.h:50
LArSamples::Id::matchCalo
static bool matchCalo(CaloId id, CaloId idSpec)
Definition: CaloId.cxx:188
LArSamples::AbsShape::AbsShape
AbsShape()
Definition: AbsShape.h:72
LArSamples::History::scaledErrorData
const ScaledErrorData * scaledErrorData(unsigned int i, double adcMax=-1, double time=Definitions::none, ShapeErrorType shapeErrorType=BestShapeError) const
Definition: History.cxx:349
LArSamples::CellInfo::rt
double rt() const
Definition: CellInfo.h:92
LArSamples::History::chi2Anomaly
double chi2Anomaly(double chi2Cut, unsigned int nDof=3) const
Definition: History.cxx:658
LArSamples::Data::pedestalSubtractedSample
float pedestalSubtractedSample(unsigned int i) const
Definition: Data.h:92
LArSamples::Data::m_index
unsigned int m_index
Definition: Data.h:284
CaloCellPos2Ntuple.int
int
Definition: CaloCellPos2Ntuple.py:24
LArSamples::Data::lumiBlock
int lumiBlock() const
Definition: Data.cxx:29
LArSamples::Data::delta
double delta(short sample) const
Definition: Data.cxx:427
LArSamples::EventData::event
int event() const
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/EventData.h:44
LArSamples::DataContainer::gain
CaloGain::CaloGain gain() const
Definition: DataContainer.h:54
LArSamples::History::cellInfo
const CellInfo * cellInfo() const
Definition: History.h:56
LArSamples::Data::adc2MeV
double adc2MeV() const
Definition: Data.h:126
LArSamples::CovMatrix
TMatrixTSym< double > CovMatrix
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/Definitions.h:11
LArSamples::History::referenceShape
SimpleShape * referenceShape(unsigned int k, double adcMax=-1, double time=Definitions::none, bool samplesOnly=false) const
Definition: History.cxx:545
index
Definition: index.py:1
LArSamples::Data::adcMax
double adcMax() const
Definition: Data.h:124
CaloGain::UNKNOWNGAIN
@ UNKNOWNGAIN
Definition: CaloGain.h:20
LArSamples::Definitions::samplingTime
static double samplingTime(unsigned int i)
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/Definitions.h:16
DMTest::C
C_v1 C
Definition: C.h:26
ALFA_EventTPCnv_Dict::t0
std::vector< ALFA_RawData_p1 > t0
Definition: ALFA_EventTPCnvDict.h:42
LArSamples::CellInfo::feedThrough
short feedThrough() const
Definition: CellInfo.h:65
LArSamples::AbsShape::value
virtual double value(unsigned int i) const =0
ALFA_EventTPCnv_Dict::t1
std::vector< ALFA_RawDataCollection_p1 > t1
Definition: ALFA_EventTPCnvDict.h:43
LArSamples::Data::calcRefit
bool calcRefit(double &chi2, double &k, double &dT) const
Definition: Data.cxx:232
LArSamples::DataContainer::ofcTime
float ofcTime() const
Definition: DataContainer.h:70
plotBeamSpotVxVal.cov
cov
Definition: plotBeamSpotVxVal.py:201
LArSamples::SimpleShape
Definition: SimpleShape.h:25
LArSamples::Data::run
int run() const
Definition: Data.cxx:27
LArSamples::Data::m_history
const History * m_history
Definition: Data.h:283
mc.diff
diff
Definition: mc.SFGenPy8_MuMu_DD.py:14
LArSamples::DataContainer::adcMax
float adcMax() const
Definition: DataContainer.h:86
LArSamples::EMEC_INNER
@ EMEC_INNER
Definition: CaloId.h:25
LArSamples::AbsShape::minValue
double minValue(bool withErrors=false) const
Definition: AbsShape.cxx:41
LArSamples::Data::chi2
double chi2() const
Definition: Data.cxx:197
LArSamples::Data::residual
double residual(short sample) const
Definition: Data.cxx:435
LArSamples::Data::ofcTime
double ofcTime() const
Definition: Data.h:111
LArSamples::CellInfo::phi
double phi() const
Definition: CellInfo.h:94
reference
Definition: hcg.cxx:437
LArSamples::History::residualError
bool residualError(unsigned int i, short sample1, short sample2, double &offset, double adcMax=-1, double time=Definitions::none) const
Definition: History.cxx:402
LArSamples::CellInfo::iEta
short iEta() const
Definition: CellInfo.h:56
read_hist_ntuple.t
t
Definition: read_hist_ntuple.py:5
LArSamples::History::ofc
OFC * ofc(unsigned int i, int lwb=-1, int upb=-1, double time=Definitions::none, bool useCorrs=true) const
Definition: History.cxx:207
yodamerge_tmp.scale
scale
Definition: yodamerge_tmp.py:138
LArSamples::ShapeFitter::fit
bool fit(const LArSamples::AbsShape &data, const AbsShape &reference, double &k, double &deltaT, double &chi2, const ScaledErrorData *sed=0) const
Definition: ShapeFitter.cxx:32
LArSamples::DataContainer::nSamples
unsigned int nSamples() const
Definition: DataContainer.h:57
LArSamples::AbsShape::interpolate
int interpolate(double time, double &value, double &error) const
Definition: AbsShape.cxx:83
LArSamples::Data::residualError
double residualError(short sample1, short sample2=-1, bool scale=true) const
Definition: Data.cxx:489
LArSamples::Data::event
int event() const
Definition: Data.cxx:28
LArSamples::Data::referenceShape
SimpleShape * referenceShape() const
Definition: Data.cxx:183
LArSamples::ScaledErrorData
Definition: ScaledErrorData.h:17
LArSamples::ShapeErrorData::xip
const TVectorD & xip() const
Definition: ShapeErrorData.h:41
LArSamples::EventData::bunchId
unsigned int bunchId() const
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/EventData.h:50
LArSamples::DataContainer::pedestalRMS
float pedestalRMS() const
Definition: DataContainer.h:77
LArSamples::Data::bunchId
int bunchId() const
Definition: Data.cxx:30
LArSamples::AbsShape::error
virtual double error(unsigned int i) const
Definition: AbsShape.cxx:24
LArSamples::Data::adcMax_new
double adcMax_new() const
Definition: Data.cxx:69
LArFebErrorSummary::TypeMismatch
@ TypeMismatch
Definition: LArFebErrorSummary.h:28
LArSamples::IndexRange::isInRange
bool isInRange(int i) const
Definition: IndexRange.h:27
LArSamples::Data::m_eventData
const EventData *const m_eventData
Definition: Data.h:282
LArSamples::AbsShape::graph
TGraphErrors * graph(bool timeInUnitOfSamples=false) const
Definition: AbsShape.cxx:186
CaloCondBlobAlgs_fillNoiseFromASCII.desc
desc
Definition: CaloCondBlobAlgs_fillNoiseFromASCII.py:54
LArSamples::CellInfo::position
TVector3 position() const
Definition: CellInfo.cxx:204
LArSamples::EMB
@ EMB
Definition: CaloId.h:25
dqt_zlumi_pandas.err
err
Definition: dqt_zlumi_pandas.py:182
lumiFormat.i
int i
Definition: lumiFormat.py:85
python.CaloCondTools.g
g
Definition: CaloCondTools.py:15
beamspotman.n
n
Definition: beamspotman.py:731
LArSamples::Data::gainStr
static TString gainStr(CaloGain::CaloGain gain)
Definition: Data.cxx:505
LArSamples::Definitions::none
static const double none
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/Definitions.h:17
LArSamples::Data::quality
double quality() const
Definition: Data.h:114
LArSamples::ClassCounts::decrementInstanceCount
void decrementInstanceCount() const
Definition: LArCafJobs/LArCafJobs/ClassCounts.h:33
LArFebErrorSummary::ScacStatus
@ ScacStatus
Definition: LArFebErrorSummary.h:27
LArSamples::Data::m_timeShift
static std::atomic< double > m_timeShift
Definition: Data.h:285
LArSamples::History::chi2_k
double chi2_k(int i, double k, int lwb=-1, int upb=-1, int chi2Params=DefaultChi2) const
Definition: History.cxx:180
LArSamples::Data::xiNorm
double xiNorm(ShapeErrorType shapeErrorType=BestShapeError) const
Definition: Data.cxx:472
LArSamples::EMEC_OUTER
@ EMEC_OUTER
Definition: CaloId.h:25
LArSamples::EventData::run
int run() const
Definition: EventData.cxx:59
LArSamples::Data::xip
double xip(short sample, ShapeErrorType shapeErrorType=BestShapeError, CaloGain::CaloGain g=CaloGain::UNKNOWNGAIN) const
Definition: Data.cxx:483
LArSamples::Data::isDisconnected
bool isDisconnected() const
Definition: Data.cxx:106
LArSamples::AbsShape::findTimeInterval
int findTimeInterval(double time) const
Definition: AbsShape.cxx:71
LArSamples::History::nData
unsigned int nData() const
Definition: History.h:51
LArSamples::Data::m_container
const DataContainer *const m_container
Definition: Data.h:281
LArSamples::Data::scaledErrorData
const ScaledErrorData * scaledErrorData() const
Definition: Data.cxx:190
LArSamples::History::chi2
double chi2(int i, int lwb=-1, int upb=-1, int chi2Params=DefaultChi2, ShapeErrorType shapeErrorType=BestShapeError, unsigned int *nDof=0) const
Definition: History.cxx:164
beamspotman.stat
stat
Definition: beamspotman.py:266
LArSamples::DataContainer::sample
const short & sample(unsigned int i) const
Definition: DataContainer.h:61
LArSamples::UNKNOWN_CALO
@ UNKNOWN_CALO
Definition: CaloId.h:23
LArSamples::OFC
Definition: OFC.h:27
inRange
bool inRange(const double *boundaries, const double value, const double tolerance=0.02)
Definition: LArSCIdVsIdTest.cxx:5
mergePhysValFiles.errors
list errors
Definition: DataQuality/DataQualityUtils/scripts/mergePhysValFiles.py:43
LArSamples::Data::covariance
double covariance(unsigned int i, unsigned int j) const
Definition: Data.cxx:75
LArSamples::History::delta
bool delta(unsigned int i, unsigned int sample, double &del) const
Definition: History.cxx:366
LArSamples::DataContainer::energy
float energy() const
Definition: DataContainer.h:67
LArSamples::Data::_timeNoTOF
double _timeNoTOF(const DataFuncArgs &args) const
Definition: Data.cxx:378
LArSamples::ShapeErrorData::n
int n() const
Definition: ShapeErrorData.h:54
LArSamples::Data::pedestal
double pedestal() const
Definition: Data.h:117
LArSamples::ClassCounts::incrementInstanceCount
void incrementInstanceCount() const
Definition: LArCafJobs/LArCafJobs/ClassCounts.h:32
LArSamples::AbsShape::maxValue
double maxValue(bool withErrors=false) const
Definition: AbsShape.cxx:30
LArSamples::Data::resCorrN
double resCorrN(ShapeErrorType shapeErrorType=BestShapeError) const
Definition: Data.cxx:443
VP1PartSpect::E
@ E
Definition: VP1PartSpectFlags.h:21
LArFebErrorSummary::EmptyDataBlock
@ EmptyDataBlock
Definition: LArFebErrorSummary.h:28
LArSamples::Data::gain
CaloGain::CaloGain gain() const
Definition: Data.h:85
LArFebErrorSummary::EVTID
@ EVTID
Definition: LArFebErrorSummary.h:27
covarianceTool.verbosity
verbosity
Definition: covarianceTool.py:513
CaloGain::LARHIGHGAIN
@ LARHIGHGAIN
Definition: CaloGain.h:18
LArSamples::CaloId
CaloId
Definition: CaloId.h:21
LArSamples::CellInfo::iPhi
short iPhi() const
Definition: CellInfo.h:62
CaloGain::CaloGain
CaloGain
Definition: CaloGain.h:11
LArSamples::DefaultChi2
@ DefaultChi2
Definition: Chi2Calc.h:24
LArFebErrorSummary::DspBlockSize
@ DspBlockSize
Definition: LArFebErrorSummary.h:28
LArSamples::CellInfo::channel
short channel() const
Definition: CellInfo.h:76
LArSamples::FCAL
@ FCAL
Definition: CaloId.h:26
CaloGain::LARMEDIUMGAIN
@ LARMEDIUMGAIN
Definition: CaloGain.h:18
LArSamples::DataContainer
Definition: DataContainer.h:25
LArSamples::Data::problems
TString problems(bool sayNone=false) const
Definition: Data.cxx:135
InDetDD::other
@ other
Definition: InDetDD_Defs.h:16
LArSamples::Data::residualOffset
double residualOffset(short sample, bool scale=true) const
Definition: Data.cxx:451
LArSamples::History::shapeErrorData
const ShapeErrorData * shapeErrorData(CaloGain::CaloGain gain, ShapeErrorType shapeErrorType=BestShapeError, const Residual *res=0) const
Definition: History.cxx:302
LArFebErrorSummary::Parity
@ Parity
Definition: LArFebErrorSummary.h:27
LArSamples::ShapeFitter
Definition: ShapeFitter.h:24
Pythia8_RapidityOrderMPI.val
val
Definition: Pythia8_RapidityOrderMPI.py:14
python.CaloScaleNoiseConfig.type
type
Definition: CaloScaleNoiseConfig.py:78
unit
const PlainObject unit() const
This is a plugin that makes Eigen look like CLHEP & defines some convenience methods.
Definition: AmgMatrixBasePlugin.h:21
LArSamples::History::upstreamEnergy
double upstreamEnergy(unsigned int k) const
Definition: History.cxx:640
LArSamples::Data::status
int status() const
Definition: Data.h:121
dq_make_web_display.reference
reference
Definition: dq_make_web_display.py:44
LArSamples::History::deltas
TVectorD deltas(unsigned int i, int lwb=-1, int upb=-1, bool correct=true) const
Definition: History.cxx:376
LArSamples::CellInfo::region
short region() const
Definition: CellInfo.h:59
LArSamples::History::residualOffset
bool residualOffset(unsigned int i, short sample, double &offset, double adcMax=-1, double time=Definitions::none) const
Definition: History.cxx:391
LArSamples::Data::xi
double xi(short sample, ShapeErrorType shapeErrorType=BestShapeError, CaloGain::CaloGain g=CaloGain::UNKNOWNGAIN, bool xip=false) const
Definition: Data.cxx:459
LArSamples::DataContainer::status
int status() const
Definition: DataContainer.h:80
LArSamples::CellShapeError
@ CellShapeError
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/Definitions.h:21
LArSamples::Data::nSamples
unsigned int nSamples() const
Definition: Data.h:88
LArFebErrorSummary::SampleHeader
@ SampleHeader
Definition: LArFebErrorSummary.h:27
merge.status
status
Definition: merge.py:17
LArSamples::EventData::lumiBlock
unsigned int lumiBlock() const
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/EventData.h:47
LArFebErrorSummary::ScaOutOfRange
@ ScaOutOfRange
Definition: LArFebErrorSummary.h:27
LArFebErrorSummary::BCID
@ BCID
Definition: LArFebErrorSummary.h:27
LArSamples::CellInfo::eta
double eta() const
Definition: CellInfo.h:93
LArSamples::NoShapeError
@ NoShapeError
Definition: LArCalorimeter/LArCafJobs/LArCafJobs/Definitions.h:25
LArSamples::Data::isPassed
bool isPassed(const TString &bitName) const
Definition: Data.cxx:529
LArSamples::ShapeErrorData
Definition: ShapeErrorData.h:19
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