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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 77 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 201 of file Data.h.

201 { return adcMax(); }

◆ _adcMax_new()

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

Definition at line 202 of file Data.h.

202 { return adcMax_new(); }

◆ _adjDeltaT()

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

Definition at line 282 of file Data.cxx.

283 {
284  double k, dT;
285  if (!calcAdjust(k, dT)) return -9999;
286  return dT;
287 }

◆ _adjScale()

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

Definition at line 290 of file Data.cxx.

291 {
292  double k, dT;
293  if (!calcAdjust(k, dT)) return -1;
294  return k;
295 }

◆ _bunchId()

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

Definition at line 211 of file Data.h.

211 { return bunchId(); }

◆ _calo()

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

Definition at line 319 of file Data.cxx.

320 {
321  if (!m_history) return 0;
322  return m_history->cellInfo()->calo();
323 }

◆ _channel()

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

Definition at line 347 of file Data.cxx.

348 {
349  if (!m_history) return 0;
350  return m_history->cellInfo()->channel();
351 }

◆ _chi2()

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

Definition at line 244 of file Data.h.

244 { 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 594 of file Data.cxx.

595 {
596  if (!m_history) return -1;
597  return m_history->chi2Anomaly(args.x1);
598 }

◆ _count()

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

Definition at line 242 of file Data.h.

242 { return 1; }

◆ _delta()

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

Definition at line 214 of file Data.h.

214 { return delta(args.i1); }

◆ _energy()

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

Definition at line 196 of file Data.h.

196 { return energy(); }

◆ _energySignif()

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

Definition at line 402 of file Data.cxx.

403 {
404  return energy()/noise();
405 }

◆ _eta()

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

Definition at line 498 of file Data.cxx.

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

◆ _event()

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

Definition at line 209 of file Data.h.

209 { return event(); }

◆ _feedThrough()

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

Definition at line 333 of file Data.cxx.

334 {
335  if (!m_history) return 0;
336  return m_history->cellInfo()->feedThrough();
337 }

◆ _gain()

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

Definition at line 213 of file Data.h.

213 { return gain(); }

◆ _goodForShapeCorr()

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

Definition at line 265 of file Data.h.

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

◆ _hash()

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

Definition at line 354 of file Data.cxx.

355 {
356  if (!m_history) return 0;
357  return m_history->hash();
358 }

◆ _iEta()

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

Definition at line 298 of file Data.cxx.

299 {
300  if (!m_history) return 0;
301  return m_history->cellInfo()->iEta();
302 }

◆ _index()

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

Definition at line 212 of file Data.h.

212 { return m_index; }

◆ _iPhi()

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

Definition at line 305 of file Data.cxx.

306 {
307  if (!m_history) return 0;
308  return m_history->cellInfo()->iPhi();
309 }

◆ _layer()

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

Definition at line 326 of file Data.cxx.

327 {
328  if (!m_history) return 0;
329  return m_history->cellInfo()->layer();
330 }

◆ _lumiBlock()

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

Definition at line 210 of file Data.h.

210 { return lumiBlock(); }

◆ _maxPosition()

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

Definition at line 240 of file Data.h.

240 { return maxPosition(); }

◆ _maxValue()

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

Definition at line 204 of file Data.h.

204 { return maxValue(); }

◆ _minValue()

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

Definition at line 205 of file Data.h.

205 { return minValue(); }

◆ _nData()

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

Definition at line 368 of file Data.cxx.

369 {
370  if (!m_history) return 0;
371  return m_history->nData();
372 }

◆ _noise()

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

Definition at line 203 of file Data.h.

203 { return noise(); }

◆ _normResidualError()

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

Definition at line 226 of file Data.h.

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

◆ _normResidualOffset()

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

Definition at line 225 of file Data.h.

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

◆ _null()

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

Definition at line 207 of file Data.h.

207 { return 0; }

◆ _ofcGamma()

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

Definition at line 574 of file Data.cxx.

575 {
576  double result = -9999;
577  if (!m_history) return result;
578  OFC* ofc = m_history->ofc(m_index);
579  if (ofc->isInRange(args.i1) && ofc->isInRange(args.i2))
580  result = ofc->Gamma()(args.i1, args.i2);
581  delete ofc;
582  return result;
583 }

◆ _ofcSigma()

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

Definition at line 562 of file Data.cxx.

563 {
564  double result = -9999;
565  if (!m_history) return result;
566  OFC* ofc = m_history->ofc(m_index);
567  if (ofc->isInRange(args.i1))
568  result = TMath::Sqrt(ofc->Gamma()(args.i1, args.i1));
569  delete ofc;
570  return result;
571 }

◆ _ofcTime()

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

Definition at line 197 of file Data.h.

197 { return ofcTime(); }

◆ _pass()

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

Definition at line 275 of file Data.h.

275 { return isPassed(args.str); }

◆ _peakSignif()

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

Definition at line 396 of file Data.cxx.

397 {
398  return maxValue()/pedestalRMS();
399 }

◆ _pedestal()

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

Definition at line 199 of file Data.h.

199 { return pedestal(); }

◆ _pedestalRMS()

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

Definition at line 200 of file Data.h.

200 { return pedestalRMS(); }

◆ _pedestalSubstractedSample()

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

Definition at line 195 of file Data.h.

195 { return pedestalSubtractedSample(args.i1); }

◆ _phi()

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

Definition at line 499 of file Data.cxx.

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

◆ _quality()

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

Definition at line 198 of file Data.h.

198 { return quality(); }

◆ _refitChi2()

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

Definition at line 261 of file Data.cxx.

262 {
263  double chi2, k, dT;
264  if (!calcRefit(chi2, k, dT)) return -1;
265  return chi2;
266 }

◆ _refitDeltaT()

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

Definition at line 245 of file Data.cxx.

246 {
247  double chi2, k, dT;
248  if (!calcRefit(chi2, k, dT)) return -9999;
249  return dT;
250 }

◆ _refitScale()

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

Definition at line 253 of file Data.cxx.

254 {
255  double chi2, k, dT;
256  if (!calcRefit(chi2, k, dT)) return -1;
257  return k;
258 }

◆ _region()

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

Definition at line 312 of file Data.cxx.

313 {
314  if (!m_history) return 0;
315  return m_history->cellInfo()->region();
316 }

◆ _resCorrN()

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

Definition at line 217 of file Data.h.

217 { return resCorrN(CellShapeError); }

◆ _residual()

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

Definition at line 215 of file Data.h.

215 { return residual(args.i1); }

◆ _residualError()

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

Definition at line 224 of file Data.h.

224 { return residualError(args.i1); }

◆ _residualOffset()

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

Definition at line 216 of file Data.h.

216 { return residualOffset(args.i1); }

◆ _ring()

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

Definition at line 361 of file Data.cxx.

362 {
363  if (!m_history) return 0;
364  return m_history->cellInfo()->globalPhiRing();
365 }

◆ _rt()

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

Definition at line 497 of file Data.cxx.

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

◆ _run()

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

Definition at line 208 of file Data.h.

208 { return run(); }

◆ _sample()

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

Definition at line 194 of file Data.h.

194 { return sample(args.i1); }

◆ _slot()

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

Definition at line 340 of file Data.cxx.

341 {
342  if (!m_history) return 0;
343  return m_history->cellInfo()->slot();
344 }

◆ _timeECorr()

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

Definition at line 639 of file Data.cxx.

640 {
641  // Modify this to add Isabelle's correction
642  return ofcTime();
643 }

◆ _timeForSplash1()

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

Definition at line 382 of file Data.cxx.

383 {
384  if (!m_history) return -9999;
385  return _timeNoTOF(args) + m_history->cellInfo()->position().z()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
386 }

◆ _timeForSplash2()

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

Definition at line 389 of file Data.cxx.

390 {
391  if (!m_history) return -9999;
392  return _timeNoTOF(args) - m_history->cellInfo()->position().z()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
393 }

◆ _timeNoTOF()

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

Definition at line 375 of file Data.cxx.

376 {
377  if (!m_history) return -9999;
378  return ofcTime() + m_history->cellInfo()->position().Mag()/(TMath::C()*1E-6); // 10^-6 to convert to mm/ns
379 }

◆ _upstreamE()

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

Definition at line 266 of file Data.h.

266 { return upstreamEnergy(); }

◆ _upstreamERatio()

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

Definition at line 586 of file Data.cxx.

587 {
588  double upe = upstreamEnergy();
589  if (upe < 0 || energy() == 0) return -1;
590  return upe/energy();
591 }

◆ _x()

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

Definition at line 494 of file Data.cxx.

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

◆ _xi()

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

Definition at line 218 of file Data.h.

218 { return xi(args.i1); }

◆ _xiCell()

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

Definition at line 219 of file Data.h.

219 { 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 221 of file Data.h.

221 { return xiNorm(CellShapeError); }

◆ _xiNormRing()

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

Definition at line 222 of file Data.h.

222 { return xiNorm(RingShapeError); }

◆ _xip()

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

Definition at line 223 of file Data.h.

223 { return xip(args.i1); }

◆ _xiRing()

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

Definition at line 220 of file Data.h.

220 { 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 495 of file Data.cxx.

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

◆ _z()

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

Definition at line 496 of file Data.cxx.

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

◆ adc2MeV()

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

Definition at line 131 of file Data.h.

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

◆ adcMax()

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

Definition at line 129 of file Data.h.

129 { 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 269 of file Data.cxx.

270 {
271  if (!m_history) return false;
272  OFC* ofc = m_history->ofc(m_index);
273  if (!ofc) return false;
274 
275  k = ofc->A(*this)/adcMax();
276  dT = ofc->time(*this);
277  delete ofc;
278  return true;
279 }

◆ calcRefit()

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

Definition at line 232 of file Data.cxx.

233 {
234  ShapeFitter fitter;
235  //cout << "We're refitting " << _i << " of " << _history->cellInfo()->location(1) << endl;
236  SimpleShape* reference = referenceShape();
237  const ScaledErrorData* sed = scaledErrorData();
238  if (!reference) return false;
239  bool result = fitter.fit(*this, *reference, k, dT, chi2, sed);
240  delete reference;
241  return result;
242 }

◆ 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 161 of file Data.h.

161 { 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 424 of file Data.cxx.

425 {
426  double val = 0;
427  if (!m_history || !m_history->delta(m_index, sample, val)) return -9999;
428  return val;
429 }

◆ deltas()

TVectorD Data::deltas ( ) const

Definition at line 408 of file Data.cxx.

409 {
410  if (!m_history) return TVectorD();
411  return m_history->deltas(m_index);
412 }

◆ description()

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

Definition at line 511 of file Data.cxx.

512 {
513  TString desc = "";
514  desc += Form("%d samples, ", nSamples());
515  desc += "gain = " + gainStr(gain()) + ", ";
516  desc += Form("energy = %6.1f MeV, ", energy());
517  if (verbosity >= 2) desc += Form("ADCMax = %6.1f, ", adcMax());
518  desc += Form("time = %6.1f ns, ", ofcTime());
519  if (verbosity >= 2) desc += Form("chi^2/n = %6.1f, ", chi2());
520  desc += Form("run = %d, event = %d, ", run(), event());
521  desc += Form("problems = %s", problems(true).Data());
522  return desc;
523 }

◆ 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 113 of file Data.h.

113 { 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 100 of file Data.h.

100 { 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 143 of file Data.h.

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

◆ gain()

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

Definition at line 90 of file Data.h.

90 { return container().gain(); }

◆ gainStr()

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

Definition at line 502 of file Data.cxx.

503 {
504  if (gain == CaloGain::LARHIGHGAIN) return "HIGH";
505  if (gain == CaloGain::LARMEDIUMGAIN) return "MEDIUM";
506  if (gain == CaloGain::LARLOWGAIN) return "LOW";
507  return "";
508 }

◆ goodForShapeCorr()

bool Data::goodForShapeCorr ( ) const

Definition at line 532 of file Data.cxx.

533 {
534  if (adcMax() < 0) return false;
535 
536  CaloId caloId = (m_history ? m_history->cellInfo()->calo() : UNKNOWN_CALO);
537  //short layer = (m_history ? m_history->cellInfo()->layer() : -1);
538 
539  //if (Id::matchCalo(caloId, FCAL) && energy()/noise() < 250) return false;
540  if (Id::matchCalo(caloId, FCAL)) return false;
541  if (Id::matchCalo(caloId, HEC) && energy()/noise() < 20) return false;
542  if (Id::matchCalo(caloId, EMEC_INNER) && energy()/noise() < 250) return false;
543  if (Id::matchCalo(caloId, EMEC_OUTER) && energy()/noise() < 50) return false;
544  if (Id::matchCalo(caloId, EMB) && energy()/noise() < 30) return false;
545 
546  if (Id::matchCalo(caloId, HEC)) {
547  if (TMath::Abs(ofcTime()) > 10) return false;
548  }
549  else {
550  if (TMath::Abs(ofcTime()) > 5) return false;
551  }
552 
553  return true;
554 }

◆ 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 170 of file Data.h.

170 { return m_history; }

◆ index()

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

Definition at line 171 of file Data.h.

171 { 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 526 of file Data.cxx.

527 {
528  return (eventData() ? eventData()->isPassed(bitName) : false);
529 }

◆ 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 130 of file Data.h.

130 { 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 154 of file Data.h.

154 { 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 149 of file Data.h.

149 { return nSamples(); }

◆ nSamples()

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

Definition at line 93 of file Data.h.

93 { return container().nSamples(); }

◆ ofcTime()

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

Definition at line 116 of file Data.h.

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

◆ pedestal()

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

Definition at line 122 of file Data.h.

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

◆ pedestalRMS()

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

Definition at line 123 of file Data.h.

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

◆ pedestalSubtractedSample()

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

Definition at line 97 of file Data.h.

97 { 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 119 of file Data.h.

119 { 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 440 of file Data.cxx.

441 {
442  if (!m_history) return -999;
443  const ShapeErrorData* sed = m_history->shapeErrorData(gain(), type);
444  return (sed ? sed->n() : 0);
445 }

◆ residual()

double Data::residual ( short  sample) const

Definition at line 432 of file Data.cxx.

433 {
434  double val = 0;
435  if (!m_history || adcMax() < 0 || !m_history->delta(m_index, sample, val)) return -9999;
436  return val/adcMax();
437 }

◆ residualError()

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

Definition at line 486 of file Data.cxx.

487 {
488  double val = 0;
489  if (!m_history || !m_history->residualError(m_index, sample1, sample2, val, scale)) return -9999;
490  return val;
491 }

◆ residualOffset()

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

Definition at line 448 of file Data.cxx.

449 {
450  double val = 0;
451  if (!m_history || !m_history->residualOffset(m_index, sample, val, (scale ? -1 : 1))) return -9999;
452  return val;
453 }

◆ residuals()

TVectorD Data::residuals ( ) const

Definition at line 415 of file Data.cxx.

416 {
417  if (!m_history || adcMax() < 0) return TVectorD();
418  TVectorD resv = m_history->deltas(m_index);
419  for (int i = 0; i < resv.GetNrows(); i++) resv(i) /= adcMax();
420  return resv;
421 }

◆ 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 96 of file Data.h.

96 { 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 277 of file Data.h.

277 { m_history = history; m_index = index; }

◆ setTimeShift()

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

Definition at line 281 of file Data.h.

281 { m_timeShift = shift; }

◆ status()

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

Definition at line 126 of file Data.h.

126 { 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 150 of file Data.h.

150 { 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 600 of file Data.cxx.

601 {
602  if (!m_history) return -9999.;
603  Double_t timeClCorr=-99.;
604 
605  if(run()==203636) timeClCorr = ofcTime() + 0.04;
606  else if(run()==203680) timeClCorr = ofcTime() + 0.109155;
607  else if(run()==203719) timeClCorr = ofcTime() + 0.141762;
608  else if(run()==203745) timeClCorr = ofcTime() - 0.107597;
609  else if(run()==203779) timeClCorr = ofcTime() - 0.0032581;
610  else if(run()==203876) timeClCorr = ofcTime() + 0.109328;
611  else if(run()==203934) timeClCorr = ofcTime() - 0.0404719;
612  else if(run()==204073) timeClCorr = ofcTime() - 0.0244807;
613  else if(run()==204153) timeClCorr = ofcTime() + 0.185949;
614  else if(run()==204158) timeClCorr = ofcTime() + 0.0383347;
615  else if(run()==204240) timeClCorr = ofcTime() + 0.0635586;
616  else if(run()==204265) timeClCorr = ofcTime() + 0.13898;
617  else if(run()==204416) timeClCorr = ofcTime() + 0.1074;
618  else if(run()==204564) timeClCorr = ofcTime() + 0.0369925;
619  else if(run()==210302) timeClCorr = ofcTime() - 0.2;
620  else if(run()==210308) timeClCorr = ofcTime() - 0.2;
621  else timeClCorr = ofcTime();
622 
623  return timeClCorr;
624 }

◆ timeECorr()

double Data::timeECorr ( ) const

Definition at line 626 of file Data.cxx.

627 {
628  if (!m_history) return -9999.;
629  Double_t timeCorr=-99.;
630 
631  // Int_t calo = m_history->cellInfo()->calo();
632  // Double_t p0, p1, p2, p3;
633 
634  timeCorr=ofcTime();
635 
636  return timeCorr;
637 }

◆ timeShift()

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

Definition at line 280 of file Data.h.

280 { return m_timeShift; }

◆ upstreamEnergy()

double Data::upstreamEnergy ( ) const

Definition at line 556 of file Data.cxx.

557 {
558  if (!m_history) return -1;
559  return m_history->upstreamEnergy(m_index);
560 }

◆ value()

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

Implements LArSamples::AbsShape.

Definition at line 151 of file Data.h.

151 { 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 456 of file Data.cxx.

457 {
458  if (!m_history) return -999;
459  //njpb don't see the point of next line, commenting out
460  //if (g != CaloGain::UNKNOWNGAIN && type != RingShapeError) type = CellShapeError;
461  const ShapeErrorData* sed = m_history->shapeErrorData(g == CaloGain::UNKNOWNGAIN ? gain() : g, type);
462  if (!sed) return -999;
463  double val = (sed->isInRange(sample) ? (xip ? sed->xip()(sample) : sed->xi()(sample)) : -999);
464  delete sed;
465  return val;
466 }

◆ xiNorm()

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

Definition at line 469 of file Data.cxx.

470 {
471  if (!m_history) return -1;
472  const ShapeErrorData* sed = m_history->shapeErrorData(gain(), type);
473  if (!sed) return -1;
474  double val = TMath::Sqrt(sed->xi().Norm2Sqr());
475  delete sed;
476  return val;
477 }

◆ xip()

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

Definition at line 480 of file Data.cxx.

481 {
482  return xi(sample, type, g, true);
483 }

Friends And Related Function Documentation

◆ DataTweaker

friend class DataTweaker
friend

Definition at line 278 of file Data.h.

Member Data Documentation

◆ m_container

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

Definition at line 286 of file Data.h.

◆ m_eventData

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

Definition at line 287 of file Data.h.

◆ m_history

const History* LArSamples::Data::m_history
mutableprivate

Definition at line 288 of file Data.h.

◆ m_index

unsigned int LArSamples::Data::m_index
mutableprivate

Definition at line 289 of file Data.h.

◆ m_timeShift

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

Definition at line 290 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:96
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:556
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:269
LArSamples::HEC
@ HEC
Definition: CaloId.h:26
LArSamples::History::hash
unsigned int hash() const
Definition: History.h:91
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:161
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:346
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:661
LArSamples::Data::pedestalSubtractedSample
float pedestalSubtractedSample(unsigned int i) const
Definition: Data.h:97
LArSamples::Data::m_index
unsigned int m_index
Definition: Data.h:289
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:424
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:61
LArSamples::Data::adc2MeV
double adc2MeV() const
Definition: Data.h:131
LArSamples::CovMatrix
TMatrixTSym< double > CovMatrix
Definition: 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:544
index
Definition: index.py:1
LArSamples::Data::adcMax
double adcMax() const
Definition: Data.h:129
CaloGain::UNKNOWNGAIN
@ UNKNOWNGAIN
Definition: CaloGain.h:20
LArSamples::Definitions::samplingTime
static double samplingTime(unsigned int i)
Definition: 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:288
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
IOVDbNamespace::inRange
bool inRange(const NumericType &val, const std::pair< NumericType, NumericType > &range)
Function to check whether a number is in the inclusive range, given as a pair.
Definition: IOVDbCoolFunctions.h:42
LArSamples::Data::residual
double residual(short sample) const
Definition: Data.cxx:432
LArSamples::Data::ofcTime
double ofcTime() const
Definition: Data.h:116
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:399
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:204
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:486
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:287
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:193
lumiFormat.i
int i
Definition: lumiFormat.py:92
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:502
01SubmitToGrid.samples
samples
Definition: 01SubmitToGrid.py:58
LArSamples::Definitions::none
static const double none
Definition: Definitions.h:17
LArSamples::Data::quality
double quality() const
Definition: Data.h:119
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:290
LArSamples::History::chi2_k
double chi2_k(int i, double k, int lwb=-1, int upb=-1, int chi2Params=DefaultChi2) const
Definition: History.cxx:177
LArSamples::Data::xiNorm
double xiNorm(ShapeErrorType shapeErrorType=BestShapeError) const
Definition: Data.cxx:469
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:480
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:56
LArSamples::Data::m_container
const DataContainer *const m_container
Definition: Data.h:286
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:161
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
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:363
LArSamples::DataContainer::energy
float energy() const
Definition: DataContainer.h:67
LArSamples::Data::_timeNoTOF
double _timeNoTOF(const DataFuncArgs &args) const
Definition: Data.cxx:375
LArSamples::ShapeErrorData::n
int n() const
Definition: ShapeErrorData.h:54
LArSamples::Data::pedestal
double pedestal() const
Definition: Data.h:122
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:440
VP1PartSpect::E
@ E
Definition: VP1PartSpectFlags.h:21
LArFebErrorSummary::EmptyDataBlock
@ EmptyDataBlock
Definition: LArFebErrorSummary.h:28
LArSamples::Data::gain
CaloGain::CaloGain gain() const
Definition: Data.h:90
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:448
LArSamples::History::shapeErrorData
const ShapeErrorData * shapeErrorData(CaloGain::CaloGain gain, ShapeErrorType shapeErrorType=BestShapeError, const Residual *res=0) const
Definition: History.cxx:299
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:20
LArSamples::History::upstreamEnergy
double upstreamEnergy(unsigned int k) const
Definition: History.cxx:643
LArSamples::Data::status
int status() const
Definition: Data.h:126
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:373
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:388
LArSamples::Data::xi
double xi(short sample, ShapeErrorType shapeErrorType=BestShapeError, CaloGain::CaloGain g=CaloGain::UNKNOWNGAIN, bool xip=false) const
Definition: Data.cxx:456
LArSamples::DataContainer::status
int status() const
Definition: DataContainer.h:80
LArSamples::CellShapeError
@ CellShapeError
Definition: Definitions.h:21
LArSamples::Data::nSamples
unsigned int nSamples() const
Definition: Data.h:93
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: Definitions.h:25
LArSamples::Data::isPassed
bool isPassed(const TString &bitName) const
Definition: Data.cxx:526
LArSamples::ShapeErrorData
Definition: ShapeErrorData.h:19
LArSamples::AbsShape::maxPosition
int maxPosition() const
Definition: AbsShape.cxx:52
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