#include <RayleighHist.h>
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enum | FitMethod {
kTF1,
kMinuit,
kScan,
kJustEvalGuess,
kAdaptive,
kDefault = kAdaptive
} |
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enum | ChiSquareErrorMethod { kPoisson,
kPearson
} |
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| RayleighHist (FourierBuffer *fb=NULL, const char *name="", const char *title="") |
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virtual void | Draw (Option_t *opt="") |
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virtual bool | add (double newAmp) |
| Input amplitudes events.
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void | getRayleighFitParams (double &rayAmp, double &chiSquare, int &ndf) |
| Output Rayleigh distribution parameters.
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void | fitRayleigh (bool forGuiUpdateTF1=true) |
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void | fitRayleighAdaptive (bool forGuiUpdateTF1=true) |
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void | fitRayleighScan (bool forGuiUpdateTF1=true) |
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void | fitRayleighJustEvalGuess (bool forGuiUpdateTF1=true) |
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void | fitRayleighTF1 () |
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void | fitRayleighMinuit (bool forGuiUpdateTF1=true) |
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double | getOneMinusCDF (double amp, double distAmp=-1) const |
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double | getCDF (double amp, double distAmp=-1) const |
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double | getAmplitude () const |
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static void | guessMaxBinLimitAndSigmaFromMean (double meanAmp, double &maxAmp, double &sigmaGuess, double fracOfEventsInsideMaxAmp) |
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virtual int | Fill (double amp, double sign=1) |
| Fill the histogram, this is called by add(double)
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bool | axisRangeOK () const |
| Checks current axis range is reasonable.
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void | rebinAndRefill (double meanAmp) |
| Dynamically rebin and refill histogram with contents of RingBuffer of amplitudes.
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double | getRayleighChiSquare (const double *params) |
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void | updateParamsOfTF1 () |
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| ClassDef (RayleighHist, 0) |
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RingBuffer | amplitudes |
| Tracks all the amplitudes.
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Int_t | fNumNonEmptyBins |
| Cache number of non empty bins.
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Int_t | fNx |
| The number of bins (faster than GetNbinsX())
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Int_t | fNumEvents |
| Tracks the number of events in the RingBuffer/histogram (faster than integral)
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std::vector< double > | binCentres |
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std::vector< double > | squaredBinCentres |
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std::vector< int > | binValues |
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std::vector< double > | squaredBinErrors |
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FourierBuffer * | fParent |
| Daddy.
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TF1 * | fRay |
| Pointer to the Rayeligh TF1 cloned from parent FourierBuffer.
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Int_t | fNumFitParams |
| Will be equal to one as we only try and fit the amplitude (normalization is fixed by fNumEvents and bin width)
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ROOT::Math::Minimizer * | fMinimizer |
| The minuit minimizer object.
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ROOT::Math::Functor | fChiSquaredFunc |
| For minuit interface, will point to getRayelighChiSquare(const double*)
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std::vector< double > | theFitParams |
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std::vector< double > | theFitParamsSteps |
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double | fracOfEventsWanted |
| Fraction of events to be in the histogram bin limits using the guessed amplitude (don't set to 1 as this requires an infinite axis range)
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Int_t | risingEdgeBins |
| Number of bins between 0 and where we guess the histogram peak is, for dynamic rebinning.
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double | freqMHz |
| The frequency (MHz) of this Rayleigh distribution.
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TGraph * | grLastAddedAmp |
| A pretty visual representation of the last added amplitude.
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Int_t | fNDF |
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Double_t | fChiSquare |
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Double_t | fRayleighAmplitude |
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std::vector< Double_t > | fParamsTF1 |
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FitMethod | fitMethod |
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ChiSquareErrorMethod | chiSquareErrorMethod |
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const Int_t | fFitEveryNAdds |
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Int_t | fNumAddsMod10 |
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double | fBinWidth |
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double | fRayleighAmpGuess |
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double | fRayleighNorm |
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A class to histogram frequency amplitudes on the fly and "fit" a Rayleigh distribution to the result
Definition at line 20 of file RayleighHist.h.
double Acclaim::RayleighHist::getOneMinusCDF |
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double |
amp, |
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double |
distAmp = -1 |
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| const |
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inline |
< This is the probability of getting this amplitude (amp) or higher
Definition at line 60 of file RayleighHist.h.
The documentation for this class was generated from the following files: