class AliAnalysisMuMuJpsiResult: public AliAnalysisMuMuResult

 copy ctor
 Note that the mother is lost
 fKeys remains 0x0 so it will be recomputed if need be

 Assignment operator

 dtor

 Add some fit functions and some lines to the histogram

 Add some fit functions and some lines to the histogram

 Get the bin of this result

 Clone this result

 Assuming other has an AccxEff entry, correct this value by AccxEff of other

 short cut method to draw our internal histogram

 Count the number of entries in an invariant mass range

 Linear function for Bkg 2 params

 pol2 3 params

 pol2 4 params

 pol2 5 params

 pol2 x exp : 4 params

 pol4 x exp : 6 params

 gaussian variable width : 4 params

 Extended Crystal Ball : 7 parameters

 par[0] = Normalization
 par[1] = mean
 par[2] = sigma
 par[3] = alpha
 par[4] = n
 par[5] = alpha'
 par[6] = n'

 New Formulation of NA60 : 11 parameters

 par[0] = Normalization
 par[1] = mean
 par[2] = sigma
 par[3] = p1Left
 par[4] = p2Left
 par[5] = p3Left
 par[6] = p1Right
 par[7] = p2Right
 par[8] = p3Right
 par[9] = alphaLeft
 par[10] = alphaRight

 2 NA60 (new) + pol2 x exp
 width of the second NA60 related to the first (free) one.

 2 NA60 (new) + pol2 x exp
 width of the second NA60 related to the first (free) one.

 2 NA60 (new) + pol4 x exp
 width of the second NA60 related to the first (free) one.

 2 extended crystal balls + Pol1
 width of the second CB related to the first (free) one.

 2 extended crystal balls + pol2 x exp
 width of the second CB related to the first (free) one.

 2 extended crystal balls + pol4 x exp
 width of the second CB related to the first (free) one.

 2 extended crystal balls + VWG
 width of the second CB related to the first (free) one.

 2 extended crystal balls + pol2 x exp
 The tail parameters are independent but the sPsiP and mPsiP are fixed to the one of the JPsi

 Fit function for Jpsi(Psip) mean pt with alphaJpsi

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP

 Fit function for Jpsi(Psip) mean pt with alphaJpsi and alphaPsiP with independent tails

 Simple counting of the number of j/psi ...

 Fit using 1 extended crystal balls (pure signal)

 Fit using 1 new NA60 (pure signal)

 Fit using 2 extended crystal balls (signal) + variable width gaussian (background)

 Fit using 2 extended crystal balls with independent tails (signal) + variable width gaussian (background)

 Fit using 2 extended crystal balls (signal) + pol2 x exp (background)
 13 parameters

 Fit using 2 extended crystal balls (signal) + pol4 x exp (background)
 15 parameters

 Fit using 2 NA60(new) (signal) + variable width gaussian (background)

 Fit using 2 NA60(new) (signal) + pol2 x exp (background)

 Fit using 2 NA60(new) (signal) + pol4 x exp (background)

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol4
Fit mean dimuon mean pt to get Jpsi mean pt using the CB2 signal parameters, VWG for the Bkg, Jpsi mpt = cte and Bkg mpt = pol2

 Add a fit to this result

 decode the string containing all the information for the fit to be done

 the fittype is a combination of key=value pairs separated by ":"
     +func=Name fo the function used in the fit(See ? to read the naming convention)
     +rebin=Rebin of the histo(1,2...)
     +histoType=The type of histo we wan to fit(minv,mpt ???or minv&mpt for a combined fit???)
     +tails=from where we take the particle tails(mctails,mctailsJPsi&PsiP to use an indep sets of tails for each particle, predefined tails)
     +alJpsi , nlPsiP ... = Fit parameters (they carry the parameter name and the particle name)

 e.g.
 func=gaus:rebin=2:range=2.3;4.7;nsigmas=3
 func=vwm+cb2:range=2;5;alphalow=5.2;alphahigh=6.2

 except from the func key, all the other ones have default values
 if the key is different from func,rebin,range,histoType it is assumed
 to be the value for a parameter of the fit function.

 Get the name of the function used to fit this result (if any)

 Merge method

 Merge a list of AliAnalysisMuMuJpsiResult objects with this
 Returns the number of merged objects (including this).

 Note that the merging is to be understood here as an weighted mean operation

 FIXME ! (compared to base class Merge, should only Minv merging ?)

 Get the number of runs

 Get the number of triggers

 printout

 exclude the particles with zero stat

 Print all information about one particule type

 Set the bin

 Set a range the fit function(s) can ignore

 Set the spectrum to be fitted.

 Set the number of input particle from the invariant mass spectra

 Set the number of input particles (so it is a MC result)
 and (re)compute the AccxEff values

 Fix one parameter or set its initial value and limits

 return kTRUE if the npar1-th and npar2-th parameters of the fit function
 are too strongly correlated,
 and in that case fix the npar2-th parameter's value to fixValueIfWrong

 return kTRUE if npar-th parameter of fit function has a big error,
 and in that case fix the parameter's value to fixValueIfWrong