#include "SpectrumAnalysis.h"
#include "NSDPhysicsCalcs.h"
#include "TFitResult.h"
#include "TKey.h"
#include "TF1.h"
#include "TLegend.h"
#include "TGraph.h"
#include "TGraphErrors.h"
#include "TCanvas.h"
#include "TError.h"
#include <Eigen/Dense>
#include <iostream>
#include <sstream>
#include <fstream>
#include <random>

Include dependency graph for SpectrumAnalysis.cpp:

Functions
std::ostream &	operator<< (std::ostream &os, const PeakInfo &a_peakInfo)

std::istream &	operator>> (std::istream &a_istream, PeakInfo &a_peakInfo)

Double_t	fGauss (Double_t x, Double_t par)

Double_t	fDoubleGauss (Double_t x, Double_t par)
	Two gaussians + 1st degree polynomial background. More...

Double_t	fDoubleGaussErf (Double_t x, Double_t par)
	Two gaussians + 1st degree polynomial background + erf. More...

Double_t	fRadWareFitNoSkew (Double_t x, Double_t par)
	https://radware.phy.ornl.gov/gf3/gf3.html#3.6. More...

Double_t	fRadWareFit (Double_t x, Double_t par)

Double_t	fRadWareSkewNorm (Double_t x, Double_t par)
	not sure what this one is More...

Function Documentation

◆ fDoubleGauss()

Double_t fDoubleGauss	(	Double_t *	x,
		Double_t *	par
	)

Two gaussians + 1st degree polynomial background.

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◆ fDoubleGaussErf()

Double_t fDoubleGaussErf	(	Double_t *	x,
		Double_t *	par
	)

Two gaussians + 1st degree polynomial background + erf.

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◆ fGauss()

Double_t fGauss	(	Double_t *	x,
		Double_t *	par
	)

functions to fit to peaks Gaussian plus constant background

◆ fRadWareFit()

Double_t fRadWareFit	(	Double_t *	x,
		Double_t *	par
	)

same as above + skew gaussian (exp convovled with gaussian) for tail [0] = H_n [1] = c [2] = sigma [3] = R [4] = step [5] = beta [6],[7],[8] = background

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