def doFixedShapes(inFileName,
                  sectors,
                  startBin,
                  stopBin,
                  tBins,
                  sectorRangeMap={},
                  referenceWave=""):
    waveModel = {}
    for n, sector in enumerate(sectors):
        model = []
        fileNames = getFileNameForSector(sector, False, False)
        print fileNames
        for fn in fileNames:
            param = pc.fixedParameterization(fn,
                                             polynomialDegree=0,
                                             complexPolynomial=False)
            model.append(param)
        waveModel[sector] = model
    fixedShapes = amplitudeAnalysis(inFileName,
                                    sectors,
                                    waveModel,
                                    startBin,
                                    stopBin,
                                    tBins,
                                    sectorRangeMap=sectorRangeMap)
    fixedShapes.loadData(referenceWave=referenceWave)
    fixedShapes.finishModelSetup()
    fixedShapes.fitShapeParameters()
    fixedShapes.calculateNonShapeParameters()
    fixedShapes.mode = AMPL
    #	fixedShapes.removeGlobalPhaseFromComa()
    return fixedShapes
def doF0phase(inFileName,
              sectors,
              startBin,
              stopBin,
              tBins,
              sectorRangeMap={"2-+0+[pi,pi]0++PiD": (0.34, 2 * mK - .04)},
              referenceWave=""):
    pipiSfileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/fkrinner/trunk/massDependentFit/scripts/anything/zeroModes/bwAmplitudes_noBF/amp_2mp0pSigmaPiD"
    pipiSw = pc.fixedParameterization(pipiSfileName,
                                      polynomialDegree=0,
                                      complexPolynomial=False)
    waveModel = {"2-+0+[pi,pi]0++PiD": [pipiSw]}
    fitPiPiSshape = amplitudeAnalysis(inFileName,
                                      sectors,
                                      waveModel,
                                      startBin,
                                      stopBin,
                                      tBins,
                                      sectorRangeMap=sectorRangeMap)
    fitPiPiSshape.loadData(referenceWave=referenceWave)
    fitPiPiSshape.finishModelSetup()
    fitPiPiSshape.phaseFit()
    fitPiPiSshape.mode = PHASE
    #	fitPiPiSshape.removeGlobalPhaseFromComa()
    #	fitPiPiSshape.unifyComa()
    return fitPiPiSshape
def doF0Fit(inFileName, sectors, startBin, stopBin, tBins, sectorRangeMap = {}, referenceWave = "", deg = 0, writeResultToFile = None):
	fixedAMPD_sub = pc.fixedParameterization("/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/fkrinner/trunk/massDependentFit/scripts/anything/zeroModes/bwAmplitudes_noBF/amp_1pp0pSigmaPiP")	
	f0Mass   = ptc.parameter(mF0,"f0Mass")
	f0g1     = ptc.parameter(g1, "g1")
	f0g2     = ptc.parameter(g2, "g2")
#	f0g1.lock = True
#	f0g2.lock = True
	f0       = ptc.flatte([f0Mass, f0g1, f0g2], mPi, mPi, mPi, mK, mK, 0, 1, False)
	polyPars = []
	for i in range(deg):
		polyPars.append(ptc.parameter(0.1, "reC"+str(i+1)))
		polyPars.append(ptc.parameter(0.1, "imC"+str(i+1)))
	poly  = ptc.complexPolynomial(deg, polyPars)
	fitF0 = amplitudeAnalysis(inFileName, sectors, {"1++0+[pi,pi]0++PiP":[f0,fixedAMPD_sub]}, startBin, stopBin, tBins, sectorRangeMap = sectorRangeMap)
	fitF0.loadData(referenceWave = referenceWave)
	fitF0.finishModelSetup()
#	fitF0.unifyComa()
	fitF0.fitShapeParameters()
	fitF0.calculateNonShapeParameters()
	fitF0.mode = AMPL
	if writeResultToFile:
		with open(writeResultToFile, 'a') as outFile:
			if len(tBins) > 1:
				raise ValueError("More than one t' bin not supported")
			resultString = str(tBins[0])+ " 666. " + str(f0Mass.value) + ' ' + str(f0Mass.error) + ' ' + str(f0g1.value) + ' ' + str(f0g1.error) + ' ' + str(f0g2.value) + ' ' + str(f0g2.error) 
			for i in range(deg):
				resultString += ' ' + str(polyPars[i].value) + ' ' + str(polyPars[i].error)
			resultString +=  "\n"
			outFile.write(resultString)
	return fitF0
Exemplo n.º 4
0
def doFixedShapes(inFileName, sectors, startBin, stopBin, tBins, sectorRangeMap = {}, referenceWave = "", acv = None):
	waveModel = {}
	for n,sector in enumerate(sectors):
		model = []
		fileNames = getFileNameForSector(sector, False, False)
		print fileNames
		for fn in fileNames:
			param = pc.fixedParameterization(fn, polynomialDegree  = 0, complexPolynomial = False)
			model.append(param)
		waveModel[sector] = model
	fixedShapes = amplitudeAnalysis(inFileName, sectors, waveModel, startBin, stopBin, tBins, sectorRangeMap = sectorRangeMap)
	fixedShapes.loadData(loadIntegrals = True, referenceWave = referenceWave)
	fixedShapes.finishModelSetup()
	fixedShapes.removeZeroModeFromComa()
	if acv is not None:
		fixedShapes.addComaValueForZeroMode(acv)
	fixedShapes.fitShapeParameters()
	fixedShapes.calculateNonShapeParameters()
	fixedShapes.mode = AMPL
	return fixedShapes
def doFit1500(inFileName,
              sectors,
              startBin,
              stopBin,
              tBins,
              sectorRangeMap={"0-+0+[pi,pi]0++PiS": (1.15, 1.75)},
              referenceWave="",
              writeResultToFile=None):
    fixedAMPD_sub = pc.fixedParameterization(
        "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/fkrinner/trunk/massDependentFit/scripts/anything/zeroModes/bwAmplitudes_noBF/amp_0mp0pSigmaPiS"
    )
    const = pc.constant()
    linea = pc.linear()
    f0mass = ptc.parameter(m1500, "1500mass")
    f0width = ptc.parameter(G1500, "1500width")
    f0_1500 = ptc.relativisticBreitWigner([f0mass, f0width], mPi, mPi, mPi, 0,
                                          0, False)
    fit1500 = amplitudeAnalysis(
        inFileName,
        sectors, {"0-+0+[pi,pi]0++PiS": [f0_1500, fixedAMPD_sub]},
        startBin,
        stopBin,
        tBins,
        sectorRangeMap=sectorRangeMap)
    #	fit1500 = amplitudeAnalysis(inFileName, sectors, {"0-+0+[pi,pi]0++PiS":[f0_1500, const, linea]}, startBin, stopBin, tBins, sectorRangeMap = sectorRangeMap)
    fit1500.loadData(referenceWave=referenceWave)
    fit1500.finishModelSetup()
    fit1500.fitShapeParameters()
    fit1500.calculateNonShapeParameters()
    fit1500.mode = AMPL
    #	fit1500.removeGlobalPhaseFromComa()
    if writeResultToFile:
        with open(writeResultToFile, 'a') as outFile:
            if len(tBins) > 1:
                raise ValueError("More than one t' bin not supported")
            resultString = str(tBins[0]) + " 666. " + str(
                f0mass.value) + ' ' + str(f0mass.error) + ' ' + str(
                    f0width.value) + ' ' + str(f0width.error) + "\n"
            outFile.write(resultString)
    return fit1500
Exemplo n.º 6
0
def main(rhoFileName=""):
    checkLaTeX()
    # # # #  Monte-Carlo results
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_MC_corrected.root"
    #	inFileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/ppppppppp/DpPiPiPi_forReleaseNote.root"
    #	inFileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/ppppppppp/DpPiPiPi_normalF2.root"
    #	inFileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/ppppppppp/DpPiPiPi_versionInPaper.root"
    #	inFileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/ppppppppp/DpPiPiPi_forThesis.root"
    #	inFileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/ppppppppp/DpPiPiPi_largeErrorStudy.root"
    # # # # Real-data results
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_three0pp.root"
    inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/std11_withIntegral.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_exotic_t0.326-0.66_fixed.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_exotic_t0.66-1.00_fixed.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_bigger1pp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_exotic.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_bigger2pp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_bigger2mp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_maximum_t0.66-1.00.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_maximum.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_neg_1m1m.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_neg_1P0m.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_3pp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_4pp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_4mp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_6mp.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_exoticMC.root"
    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_rho3_2mp3pp.root"

    fourPPamplFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/ampls_4++1+rhoPiG.dat"

    #	inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_std11.root"

    zeroFileName = inFileName

    #	sectors = ["Dp[pi,pi]0++PiS","Dp[pi,pi]1--PiP"]
    #	sectors = ["Dp[pi,pi]0++PiS"]
    sectors = ["Dp[pi,pi]1--PiP"]
    # # # # # Std11 Definitions
    std11_0mp0p = ["0-+0+[pi,pi]0++PiS", "0-+0+[pi,pi]1--PiP"]
    std11_1pp0p = ["1++0+[pi,pi]0++PiP", "1++0+[pi,pi]1--PiS"]
    std11_1pp1p = ["1++1+[pi,pi]1--PiS"]
    std11_2pp1p = ["2++1+[pi,pi]1--PiD"]
    std11_2mp0p = [
        "2-+0+[pi,pi]0++PiD", "2-+0+[pi,pi]1--PiP", "2-+0+[pi,pi]1--PiF",
        "2-+0+[pi,pi]2++PiS"
    ]
    std11_2mp1p = ["2-+1+[pi,pi]1--PiP"]

    # # # # # Bigger 1++ definitions
    #	sectors = std11_1pp0p + ["1++0+[pi,pi]1--PiD", "1++0+[pi,pi]2++PiP"]
    # # # # # Exotic (1-+)
    sector_exotic = ["1-+1+[pi,pi]1--PiP"]

    neg_1m1m = ["1-+1-[pi,pi]1--PiP"]
    neg_1P0m = ["1++1-[pi,pi]1--PiS"]
    # # # # # qBigger 2++ definitions
    #	sectors = std11_2pp1p + ["2++1+[pi,pi]2++PiP"]
    # # # # # Bigger 2-+ definitions
    #	sectors = std11_2mp0p + ["2-+0+[pi,pi]2++PiD"]
    #	sectors = std11_2mp1p + ["2-+1+[pi,pi]2++PiS"]
    sectors = [
        "2-+0+[pi,pi]1--PiP", "2-+0+[pi,pi]1--PiF", "2-+0+[pi,pi]2++PiS",
        "2-+0+[pi,pi]2++PiD", "2-+0+[pi,pi]3--PiP"
    ]
    #	sectors = ["2-+0+[pi,pi]3--PiP"]
    # # # # # 3++
    #	sectors = ["3++0+[pi,pi]1--PiD", "3++0+[pi,pi]2++PiP", "3++0+[pi,pi]3--PiS"]
    #	sectors = ["3++0+[pi,pi]2++PiP"]
    # # # # # 4++
    #	sectors = ["4++1+[pi,pi]1--PiG", "4++1+[pi,pi]2++PiF"]
    #	sectors = ["4++1+[pi,pi]1--PiG"]
    #	sectors = ["4++1+[pi,pi]2++PiF"]
    # # # # # 4-+
    #	sectors = ["4-+0+[pi,pi]1--PiF"]
    # # # # # 6-+
    #	sectors = ["6-+0+[pi,pi]1--PiH"]

    #	sectors = ["2-+0+[pi,pi]2++PiD"]

    sectors = ["2-+0+[pi,pi]2++PiS"]

    sectors = std11_0mp0p
    #	sectors = sector_exotic
    #	sectors = std11_1pp0p
    #	sectors = std11_1pp1p
    #	sectors = neg_1P0m
    #	sectors = std11_2mp0p
    #	sectors = std11_2mp1p # + ["2-+1+[pi,pi]2++PiS"]
    #	sectors = std11_2pp1p

    #	sectors = ["2-+1+[pi,pi]2++PiS"]

    #	referenceWave = "4-+0+rhoPiF"
    referenceWave = ""

    #	sectors = std11_0mp0p[:1]

    doSpecialOneBinFit = -34  # negative values turn it off

    sectorUseMap = {  # Defines, if for the given sector a theory curve will be used
        "0-+0+[pi,pi]0++PiS": True,
        "0-+0+[pi,pi]1--PiP": True,
        "1++0+[pi,pi]0++PiP": True,
        "1++0+[pi,pi]1--PiS": True,
        "2-+0+[pi,pi]0++PiD": False,
        "2-+0+[pi,pi]1--PiP": True,
        "2-+0+[pi,pi]1--PiF": True,
        "2-+0+[pi,pi]2++PiS": True,
        "2-+0+[pi,pi]3--PiP": True
    }

    sectorRangeMap = {
        #		"2-+0+[pi,pi]1--PiP" : (0., 1.12),
        #		"2-+0+[pi,pi]1--PiF" : (0., 1.12),
        #		"2-+0+[pi,pi]2++PiS" : (0., 1.5 ),
    }
    for sector in sectors:
        if '1--' in sector:
            pass
#			sectorRangeMap[sector] = (0.55,1.00)
        if '0++' in sector:
            pass
#			sectorRangeMap[sector] = (0.,.94)

    if "extensiveFreedIsobarStudies" in inFileName:
        ppppppppp = False
    else:
        ppppppppp = True

    tBin = 0
    if not ppppppppp:
        startBin = 25
        stopBin = 50
#		startBin         = 27
#		stopBin          = startBin+1
    else:
        startBin = 34
        stopBin = 35
#	startBin         = 25
#	stopBin          = 26
    polynomialDegree = 0
    if not ppppppppp:
        modelMode = "fixedShapes"
    else:
        modelMode = "simpleBW_Dp"
#	modelMode        = "fixedRhoExotic"
#	modelMode        = "pipiS"
#	modelMode        = "none"
#	modelMode        = "simpleBW_Dp"
#	modelMode        = "BW"
#	modelMode        = "explicitRhoFile"
    useSmooth = False
    fitShape = True
    phaseFit = False
    produceTotals = False
    if modelMode == "BW" or modelMode == "2BW":
        #		rho = pc.breitWigner()
        rho = pc.rpwaBreitWignerInt(0.13957018, 0.13957018, 0.13957018, 1, 0)
        f2 = pc.rpwaBreitWignerInt(0.13957018, 0.13957018, 0.13957018, 2, 0)
        rhoParameters = [.77549, .1491]
        f2Parameters = [1.2, 1.7]
        f2.setParameters(f2Parameters)
        #		rhoParameters = [1.2, .2]
        rho.setParameters(rhoParameters)
        #		rho.weightIntens = True
        #		rhoParameters = [1.27549, .100]
        rhoPrime = pc.breitWigner()
        rhoPrimeParameters = [1.570, 0.144]
        rhoPrime.setParameters(rhoPrimeParameters)
        rhoModel = [rho]
        f2Model = [f2]
        if modelMode == "2BW":
            rhoModel.append(rhoPrime)
        waveModel = {}
        for sector in sectors:
            if '1--' in sector:
                waveModel[sector] = rhoModel
            elif "3--" in sector:
                waveModel[sector] = rhoModel
            elif "2++" in sector:
                waveModel[sector] = f2Model

    elif modelMode == "fixedRhoExotic":
        pdgMass = 0.7690
        pdgWidth = 0.1509

        massRho = ptc.parameter(pdgMass + 0.0, "rhoMass")
        widthRho = ptc.parameter(pdgWidth + 0.0, "rhoWidth")
        massRho.lock = True
        widthRho.lock = True
        rho = ptc.breitWigner([massRho, widthRho])
        waveModel = {"1-+1+[pi,pi]1--PiP": [rho]}

    elif modelMode == "simpleBW_Dp":
        theWarning = """
		Keep in mind the two-step procedure: 
		-	fix with the shifted
		-	c&p the parameters
		-	set the parameters by hand 
		-	run with the non-shifted "truth" parameters
		"""
        print theWarning

        f0Mass = ptc.parameter(.98, "f0Mass")
        f0Width = ptc.parameter(.1, "f0Width")

        #		rhoMass  = ptc.parameter(.77  + .2 + .5, "rhoMass")
        #		rhoWidth = ptc.parameter(.16  + .1 + .1, "rhoWidth")

        rhoMass = ptc.parameter(.77, "rhoMass")
        rhoWidth = ptc.parameter(.16, "rhoWidth")

        #		rhoMass  = ptc.parameter(.77 + .2  , "rhoMass")
        #		rhoWidth = ptc.parameter(.16 + .1 , "rhoWidth")

        #		rhoMass  = ptc.parameter(.77 + .2 + .3 , "rhoMass")
        #		rhoWidth = ptc.parameter(.16 + .1 + .1, "rhoWidth")

        #		rhoPMass  = ptc.parameter(1.4, "rhoMass")
        #		rhoPWidth = ptc.parameter(0.2, "rhoWidth")

        #		f0Mass   = ptc.parameter(1.4 , "f0Mass"  )
        #		f0Width  = ptc.parameter( .1 , "f0Width" )
        #		rhoMass  = ptc.parameter( .77, "rhoMass" )
        #		rhoWidth = ptc.parameter( .16, "rhoWidth")

        #		f0Mass   = ptc.parameter(1., "f0Mass" )
        #		f0Width  = ptc.parameter(.11 ,"f0Width")
        #		rhoMass  = ptc.parameter(.75, "rhoMass")
        #		rhoWidparamsFarIntens.pdfth = ptc.parameter(.18, "rhoWidth")

        f0Mass.lock = True
        f0Width.lock = True
        rhoMass.lock = True
        rhoWidth.lock = True
        #		rhoPMass.lock = True; rhoPWidth.lock = True

        f0 = ptc.breitWigner([f0Mass, f0Width])

        rho = ptc.breitWigner([rhoMass, rhoWidth])
        #		rhoP = ptc.breitWigner([rhoPMass, rhoPWidth])
        #		f2 = pc.breitWigner()
        #		f2.setParameters([1.27, .2 ])
        #		waveModel = {"Dp[pi,pi]0++PiS" : [f0], "Dp[pi,pi]1--PiP" : [rho], "Dp[pi,pi]2++PiD" : [f2]}
        waveModel = {"Dp[pi,pi]0++PiS": [f0], "Dp[pi,pi]1--PiP": [rho]}
#		waveModel = {"Dp[pi,pi]0++PiS" : [f0]}
#		waveModel = {"Dp[pi,pi]1--PiP" : [rho]}

    elif modelMode == "fixedShapes":
        useBF = False
        merge0pp = False
        polyDegree = 0
        polyComplex = True
        waveModel = {}
        for sector in sectors:
            #			if "3--" in sector:
            #				rho = pc.rpwaBreitWignerInt(0.13957018,0.13957018,0.13957018,1,1)
            #				rho.setParameters([1.2, .2])
            #				model = [rho]
            #				waveModel[sector] = model
            #				continue
            if sector in sectorUseMap:
                if not sectorUseMap[sector]:
                    continue
            model = []
            fileNames = getFileNameForSector(sector, useBF, merge0pp)
            #		print fileNames
            for fn in fileNames:
                param = pc.fixedParameterization(fn,
                                                 polynomialDegree=polyDegree,
                                                 complexPolynomial=polyComplex)
                model.append(param)
            waveModel[sector] = model
#		for sector in sectors: # Ovveride with free rho parameterization
#			if '1--' in sector:
#				rho = pc.rpwaBreitWignerInt(0.13957018,0.13957018,0.13957018,1,0) # Override here
#				rho.setParameters([.77549, .1491])
#				waveModel[sector] = [rho]

    elif modelMode == "explicitRhoFile":
        if not os.path.isfile(rhoFileName):
            raise IOError("Rho file does not exist")
        param = pc.fixedParameterization(rhoFileName,
                                         polynomialDegree=0,
                                         complexPolynomial=False)
        waveModel = {}
        for sector in sectors:
            if '1--' in sector:
                waveModel[sector] = [param]

    elif modelMode == "pipiS":
        pipiSfileName = "/nfs/freenas/tuph/e18/project/compass/analysis/fkrinner/fkrinner/trunk/massDependentFit/scripts/anything/zeroModes/bwAmplitudes_noBF/amp_0mp0pSigmaPiS"
        pipiSw = pc.fixedParameterization(pipiSfileName,
                                          polynomialDegree=0,
                                          complexPolynomial=False)
        waveModel = {"0-+0+[pi,pi]0++PiS": [pipiSw]}

    elif modelMode == "none":
        waveModel = {}
        for sector in sectors:
            waveModel[sector] = []

    else:
        raise RuntimeError("modelMode: '" + modelMode + "' is unknown")

    uniCOMA = False
    with root_open(inFileName, "READ") as inFile:
        histNames = GetKeyNames(inFile)
        histListReal = []
        histListImag = []
        histListNorm = []
        histListIndx = []
        nAmplMax = 0
        for sector in sectors:
            realHistName = sector + "_" + str(tBin) + "_real"
            histReal = inFile.Get(realHistName)
            if not histReal:
                raise IOError("Could not get '" + realHistName + "' from '" +
                              inFileName + "'")
            histReal.SetDirectory(0)
            histListReal.append(histReal)

            imagHistName = sector + "_" + str(tBin) + "_imag"
            histImag = inFile.Get(imagHistName)
            if not histImag:
                raise IOError("Could not get '" + imagHistName + "' from '" +
                              inFileName + "'")
            histImag.SetDirectory(0)
            histListImag.append(histImag)

            normHistName = sector + "_" + str(tBin) + "_norm"
            histNorm = inFile.Get(normHistName)
            if not histNorm:
                raise IOError("Could not get '" + normHistName + "' from '" +
                              inFileName + "'")
            histNorm.SetDirectory(0)
            histListNorm.append(histNorm)

            indexHistName = sector + "_" + str(tBin) + "_index"
            histIndx = inFile.Get(indexHistName)
            if not histIndx:
                raise IOError("Could not get '" + indexHistName + "' from '" +
                              inFileName + "'")
            histIndx.SetDirectory(0)
            nAmplMax = max(nAmplMax, int(2 * histIndx.GetMaximum()))
            histListIndx.append(histIndx)
        histsToFill = []
        comaHists = []
        intHistsReal = []
        intHistsImag = []
        for mBin in range(startBin, stopBin):
            comaHistName = "COMA_" + str(tBin) + "_" + str(mBin)
            comaHist = inFile.Get(comaHistName)
            if not comaHist:
                uniCOMA = True
                print "Could not get '" + comaHistName + "' from '" + inFileName + "'", "USING IDENTITY"
                comaHist = pyRootPwa.ROOT.TH2D(comaHistName, comaHistName,
                                               nAmplMax, 0., 1., nAmplMax, 0.,
                                               1.)
                for i in range(nAmplMax):
                    comaHist.SetBinContent(i + 1, i + 1, 1.)

            comaHist.SetDirectory(0)
            if produceTotals:
                realHistName = "INTEGRAL_r_" + str(tBin) + "_" + str(mBin)
                realHist = inFile.Get(realHistName)
                if not realHist:
                    raise IOError("Could not get '" + realHistName +
                                  "' from '" + inFileName + "'")
                intHistsReal.append(realHist)
                imagHistName = "INTEGRAL_i_" + str(tBin) + "_" + str(mBin)
                imagHist = inFile.Get(imagHistName)
                imagHist.SetDirectory(0)
                if not imagHist:
                    raise IOError("Could not get '" + imagHistName +
                                  "' from '" + inFileName + "'")
                intHistsImag.append(imagHist)
            comaHists.append(comaHist)

        if not referenceWave == "":
            refHistReal = inFile.Get(referenceWave + "_" + str(tBin) + "_real")
            refHistReal.SetDirectory(0)
            if not refHistReal:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_real" + "' from '" +
                              self.inFileName + "'")
            refHistImag = inFile.Get(referenceWave + "_" + str(tBin) + "_imag")
            refHistImag.SetDirectory(0)
            if not refHistImag:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_imag" + "' from '" +
                              self.inFileName + "'")
            refHistIndex = inFile.Get(referenceWave + "_" + str(tBin) +
                                      "_index")
            refHistIndex.SetDirectory(0)
            if not refHistIndex:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_index" + "' from '" +
                              self.inFileName + "'")
            changeReferenceWave(histListReal, histListImag, histListIndx,
                                comaHists, refHistReal, refHistImag,
                                refHistIndex, startBin, stopBin)

        ab = allBins(startBin, stopBin, histListReal, histListImag,
                     histListNorm, histListIndx, comaHists, intHistsReal,
                     intHistsImag)
    with root_open(zeroFileName, "READ") as inFile:
        zeroCount = 0
        zeroHistList = []
        eigenHistList = []
        while True:
            zeroName = "zero" + str(zeroCount) + "_" + str(tBin)
            eigenName = "eigen" + str(zeroCount) + "_" + str(tBin)
            zeroHist = inFile.Get(zeroName)
            if not zeroHist:
                break
            zeroHist.SetDirectory(0)
            #		print "Adding zero-mode"
            zeroCount += 1
            if not zeroForSectors(sectors, zeroHist.GetTitle()):
                continue
            zeroHistList.append(zeroHist)

            eigenHist = inFile.Get(eigenName)
            eigenHist.SetDirectory(0)
            if eigenHist:
                eigenHistList.append(eigenHist)
        if (not len(eigenHistList) == 0) and (not len(eigenHistList)
                                              == len(zeroHistList)):
            raise ValueError(
                "Number of eigenvalue histograms does not match, but is also nonzero"
            )
        removeCertainZeroModes(zeroHistList, eigenHistList)
        for zeroHist in zeroHistList:
            borders = getZeroHistBorders(zeroHist)
            ab.addZeroMode(borders, zeroHist)

        rotateToFourPPampls = False
        if rotateToFourPPampls:
            fourPPampls = loadAmplsTM(fourPPamplFileName)
            ab.removePhases(fourPPampls[tBin][startBin:stopBin])

#		ab.rotateToPhaseOfBin(10)
        zeroModeComaVal = 100.  #float(sys.argv[1])
        #		zeroModeComaVal = 100000.
        #		zeroModeComaVal = "unchanged"
        #		ab.removeZeroModeFromComa()
        #		ab.addComaValueForZeroMode(zeroModeComaVal)
        #		ab.removeGlobalPhaseFromComa()

        if phaseFit:
            ab.setMassRanges(sectorRangeMap)
            for mb in ab.massBins:
                mb.setZeroTheory()
            from random import random
            ab.initChi2(waveModel)
            nBin = startBin
            leBin = ab.massBins[nBin - startBin]
            nTries = 10
            mnn = float("inf")
            #			for tr in range(nTries):
            #				print "at",tr,'/',nTries
            #				pars  = [random() for _ in range(leBin.nParAll())]
            ##				print leBin.phaseChi2(pars)
            #				res = scipy.optimize.minimize(leBin.phaseChi2, pars)
            #				if res.fun < mnn:
            #					print "Improved from",mnn,"to",res.fun,"in try",tr
            #					mnn = res.fun
            #					bestPar = res.x[:]
            #			print bestPar, "bestPar"
            paramsPhaseChi2 = [
                148.57310258, 143.66171657, 116.67030827, -6.8412118
            ]
            paramsAmplChi2 = [
                -52.51465293, -10.3576874, 6.69282325, 64.28970961
            ]
            print "----------------====----------------------------"
            leBin.phaseChi2(paramsPhaseChi2)
            print "----------------====----------------------------"
            leBin.phaseChi2(paramsAmplChi2)
            print "----------------====----------------------------"
            #			paramsZ = [bestPar[0], bestPar[1]] * 1 # Very, very bad hack...
            #			paramsZ = paramsPhaseChi2[:2]
            ptu = paramsAmplChi2
            leBin.phaseChi2(ptu)
            paramsZ = ptu[:2]

        if doSpecialOneBinFit >= 0:
            specialBin = ab.massBins[doSpecialOneBinFit]
            specialBin.initChi2(waveModel)
            print "Doing special fit for: ", +specialBin.bin3pi
            pars = [.77549, .1491]
            if modelMode == "explicitRhoFile":
                return specialBin.chi2([])
            res = scipy.optimize.minimize(specialBin.chi2, pars)
            hi = res.hess_inv
            print "m0 = ", res.x[0], "+-", (2 * hi[0, 0])**.5
            print "G0 = ", res.x[1], "+-", (2 * hi[1, 1])**.5
            print "Giving a Chi2 of:", res.fun
            sys.exit(0)

        if not useSmooth and not phaseFit and not modelMode == "none":
            ab.initChi2(waveModel)
            ab.setMassRanges(sectorRangeMap)
            totalPars = []
            for k in waveModel:
                for f in waveModel[k]:
                    totalPars += f.getParameters()
            shapePars = []
            if not len(totalPars) == 0 and fitShape:
                res = scipy.optimize.minimize(ab.chi2, totalPars)
                hi = res.hess_inv
                print "m0 = ", res.x[0], "+-", (2 * hi[0, 0])**.5
                print "G0 = ", res.x[1], "+-", (2 * hi[1, 1])**.5
                print "Giving a Chi2 of:", res.fun
                shapePars = res.x

    #		for k in waveModel:
    #			for f in waveModel[k]:
    #				print "function parameters",f.getParameters()
            chi2, params = ab.chi2(shapePars, returnParameters=True)
            errs = ab.getNonShapeUncertainties(shapePars)
            #			print "pars", len(params[0])
            #			print "errs",len(errs[0])
            #			print params,"params"
            #		print "fitted = [",
            #			for i in range(1, len(params[0])/2):
            #				if not i == 1:
            #					print ',',
            #				print params[0][2*i], '+'+ str(params[0][2*i+1])+'j',
            #			print ']'
            paramsZ = ab.linearizeZeroModeParameters(params)
            #			print "I am here!!!,", paramsZ
            zmPar = ab.getNonShapeParameters()
            ab.setTheoryFromOwnFunctions(params, True)
    #		print "The final chi2 =",chi2
    #		with open("theFinalChi2s.txt", 'a') as out:
    #			out.write("zero-mode-coma-val "+str(zeroModeComaVal) + " finalChi2 " + str(chi2) +'\n')
        elif not phaseFit:
            A, B, C = ab.getSmoothnessABC()
            paramsZ = -np.dot(la.inv(A + np.transpose(A)), B)

        if modelMode == 'none':
            ab.initChi2(waveModel)
            params = []
            for mb in ab.massBins:
                params.append([0.] * mb.nFunc * 2)

            ab.setTheoryFromOwnFunctions(params, True)

#		for i in range(len(paramsZ)):
#			paramsZ[i] = 0.

#		ab.writeZeroModeCoefficients(paramsZ, "zeroModeCorrections_std11", str(tBin))

#		for i in range(len(zmPar)):
#			for j in range(len(zmPar[i])-2,len(zmPar[i])):
#				zmPar[i][j] = 0.
#	c2 = ab.getChi2forNonShapeParameters(zmPar)
#	c2Res = ab.eigenbasisChi2contributions(zmPar)
#	c2Sum = 0.
#	for pair in c2Res[0]:
#		c2Sum += pair[1]**2/pair[0]
#	with open("chi2Contribitions.txt", 'w') as outFile:
#		for i,val in enumerate(c2Res[0]):
#			outFile.write(str(i) + ' ' + str(val[0]) + ' ' + str(val[1]) + ' ' + str(val[1]/val[0]**.5) + '\n')
#	print c2, c2Sum

#		print sys.argv[1], sys.argv[2], "-->>|", ab.getChi2forNonShapeParameters(zmPar),
#		ab.removeAllCorrelations(removeReImCorrel = False)
#		print ab.getChi2forNonShapeParameters(zmPar),
#		ab.removeAllCorrelations(removeReImCorrel = True)
#		print ab.getChi2forNonShapeParameters(zmPar),"|<<--"
#	return

        intenses = []
        reals = []
        imags = []
        correl = []
        phases = []
        intensD = []
        realsD = []
        imagsD = []
        phasesD = []
        intensT = []
        realsT = []
        imagsT = []
        phasesT = []

        for rh in histListReal:
            Ih = rh.Clone()
            Ih.Reset()
            intenses.append(Ih)

            realH = rh.Clone()
            realH.Reset()
            reals.append(realH)

            imagH = rh.Clone()
            imagH.Reset()
            imags.append(imagH)

            reImCorrH = rh.Clone()
            reImCorrH.Reset()
            correl.append(reImCorrH)

            phaseH = rh.Clone()
            phaseH.Reset()
            phases.append(phaseH)

            ID = rh.Clone()
            ID.Reset()
            intensD.append(ID)

            rD = rh.Clone()
            rD.Reset()
            realsD.append(rD)

            iD = rh.Clone()
            iD.Reset()
            imagsD.append(iD)

            pD = rh.Clone()
            pD.Reset()
            phasesD.append(pD)

            IT = rh.Clone()
            IT.Reset()
            intensT.append(IT)

            rT = rh.Clone()
            rT.Reset()
            realsT.append(rT)

            iT = rh.Clone()
            iT.Reset()
            imagsT.append(iT)

            pT = rh.Clone()
            pT.Reset()
            phasesT.append(pT)

        zeroP = [0.] * len(paramsZ)
        #		paramsZ = zeroP

        #		print paramsZ
        #		paramsZ = np.asarray([ 329.73899894 , 150.29589973]) # For the wrong parameterizations in the D decay
        #		paramsZ = np.asarray([ -49.77267381,    2.93486152]) # For the P-only for in 0-+0+ at bin 25

        if not uniCOMA:
            ab.removeZeroModeFromComa()
            ab.removeGlobalPhaseFromComa()

        if produceTotals:
            hists = []
            for m in range(len(sectors)):
                hists.append(get3PiHistogram(sectors[m] + "_t" + str(tBin)))
                ab.fillTotal(paramsZ, hists)

            with root_open("totals_noZeroModeWavesFromStd11.root", "UPDATE"):
                for h in hists:
                    h.Write()
            return

        ab.fillHistograms(paramsZ, intenses)
        ab.fillHistograms(paramsZ, reals, mode=REAL)
        ab.fillHistograms(paramsZ, imags, mode=IMAG)
        ab.fillHistograms(paramsZ, phases, mode=PHASE)
        ab.fillHistograms(paramsZ, correl, mode=REIMCORRELATION)

        ab.fillHistograms(zeroP, intensD)
        ab.fillHistograms(zeroP, realsD, mode=REAL)
        ab.fillHistograms(zeroP, imagsD, mode=IMAG)
        ab.fillHistograms(zeroP, phasesD, mode=PHASE)

        if not useSmooth:
            ab.fillHistograms(zeroP, intensT, mode=INTENSTHEO)
            ab.fillHistograms(zeroP, realsT, mode=REALTHEO)
            ab.fillHistograms(zeroP, imagsT, mode=IMAGTHEO)
            ab.fillHistograms(zeroP, phasesT, mode=PHASETHEO)

        for i in range(len(histListReal)):
            renormToBinWidth(intenses[i])
            renormToBinWidth(intensD[i])
            renormToBinWidth(intensT[i])
            renormToBinWidth(reals[i], .5)
            renormToBinWidth(realsD[i], .5)
            renormToBinWidth(realsT[i], .5)
            renormToBinWidth(imags[i], .5)
            renormToBinWidth(imagsD[i], .5)
            renormToBinWidth(imagsT[i], .5)
            renormToBinWidth(correl[i], )
            allIsZero = True
            for binX in range(intensT[i].GetNbinsX()):
                for binY in range(intensT[i].GetNbinsY()):
                    if not intensT[i].GetBinContent(binX + 1, binY + 1) == 0.:
                        allIsZero = False
                        break
                if not allIsZero:
                    break  # # # # # # # # # # # # # # # # #
            ric = correl[i]

            noRun = False
            if not allIsZero:
                rv = resultViewer([intenses[i], intensD[i], intensT[i]],
                                  [reals[i], realsD[i], realsT[i]],
                                  [imags[i], imagsD[i], imagsT[i]],
                                  [phases[i], phasesD[i], phasesT[i]],
                                  startBin=startBin,
                                  reImCorrel=ric,
                                  noRun=noRun)
            else:
                rv = resultViewer([intenses[i], intensD[i]],
                                  [reals[i], realsD[i]], [imags[i], imagsD[i]],
                                  [phases[i], phasesD[i]],
                                  startBin=startBin,
                                  reImCorrel=ric,
                                  noRun=noRun)
            rv.titleRight = getProperWaveName(sectors[i])
            #			rv.titleRight    = r"$0^{-+}0^+[\pi\pi]_{0^{++}}\pi$S"
            #			rv.titleRight    = r"$0^{-+}0^+[\pi\pi]_{1^{--}}\pi$P"
            #			rv.tString       = ""
            rv.tString = getProperDataSet(inFileName, tBin)
            #			rv.tString       = "Monte Carlo"
            #			rv.tString       = ""
            rv.titleFontSize = 11

            rv.printLiminary = False
            rv.topMarginIntens = 1.4
            #			rv.scaleTo       = "corr"
            #			rv.writeBinToPdf(startBin, stdCmd = ["rhoFixing_2D.pdf", "rhoFixing_intens.pdf", [], "rhoFixing_argand.pdf", []])
            #			rv.plotCorr      = False
            #			rv.plotTheo      = False
            #			rv.plotData      = False
            rv.run()
Exemplo n.º 7
0
def main(rhoFileName=""):
    checkLaTeX()
    inFileName = "/nfs/mds/user/fkrinner/extensiveFreedIsobarStudies/results_exotic.root"
    # # # # # Exotic (1-+)
    sectors = ["1-+1+[pi,pi]1--PiP"]

    referenceWave = "4-+0+rhoPiF"
    #	referenceWave = ""

    mBin = 32
    tBin = 3
    startBin = mBin
    stopBin = mBin + 1

    useBF = False
    merge0pp = False
    polyDegree = 0
    polyComplex = True
    waveModel = {}

    model = []
    fileNames = getFileNameForSector(sectors[0], useBF, merge0pp)
    for fn in fileNames:
        param = pc.fixedParameterization(fn,
                                         polynomialDegree=polyDegree,
                                         complexPolynomial=polyComplex)
        model.append(param)
    waveModel[sectors[0]] = model

    with root_open(inFileName, "READ") as inFile:
        histNames = GetKeyNames(inFile)
        histListReal = []
        histListImag = []
        histListNorm = []
        histListIndx = []
        nAmplMax = 0
        for sector in sectors:
            realHistName = sector + "_" + str(tBin) + "_real"
            histReal = inFile.Get(realHistName)
            if not histReal:
                raise IOError("Could not get '" + realHistName + "' from '" +
                              inFileName + "'")
            histReal.SetDirectory(0)
            histListReal.append(histReal)

            imagHistName = sector + "_" + str(tBin) + "_imag"
            histImag = inFile.Get(imagHistName)
            if not histImag:
                raise IOError("Could not get '" + imagHistName + "' from '" +
                              inFileName + "'")
            histImag.SetDirectory(0)
            histListImag.append(histImag)

            normHistName = sector + "_" + str(tBin) + "_norm"
            histNorm = inFile.Get(normHistName)
            if not histNorm:
                raise IOError("Could not get '" + normHistName + "' from '" +
                              inFileName + "'")
            histNorm.SetDirectory(0)
            histListNorm.append(histNorm)

            indexHistName = sector + "_" + str(tBin) + "_index"
            histIndx = inFile.Get(indexHistName)
            if not histIndx:
                raise IOError("Could not get '" + indexHistName + "' from '" +
                              inFileName + "'")
            histIndx.SetDirectory(0)
            nAmplMax = max(nAmplMax, int(2 * histIndx.GetMaximum()))
            histListIndx.append(histIndx)

        histsToFill = []
        comaHists = []
        intHistsReal = []
        intHistsImag = []
        for mBin in range(startBin, stopBin):
            comaHistName = "COMA_" + str(tBin) + "_" + str(mBin)
            comaHist = inFile.Get(comaHistName)
            if not comaHist:
                print "Could not get '" + comaHistName + "' from '" + inFileName + "'", "USING IDENTITY"
                comaHist = pyRootPwa.ROOT.TH2D(comaHistName, comaHistName,
                                               nAmplMax, 0., 1., nAmplMax, 0.,
                                               1.)
                for i in range(nAmplMax):
                    comaHist.SetBinContent(i + 1, i + 1, 1.)

            comaHist.SetDirectory(0)
            comaHists.append(comaHist)

        if not referenceWave == "":
            refHistReal = inFile.Get(referenceWave + "_" + str(tBin) + "_real")
            refHistReal.SetDirectory(0)
            if not refHistReal:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_real" + "' from '" +
                              self.inFileName + "'")
            refHistImag = inFile.Get(referenceWave + "_" + str(tBin) + "_imag")
            refHistImag.SetDirectory(0)
            if not refHistImag:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_imag" + "' from '" +
                              self.inFileName + "'")
            refHistIndex = inFile.Get(referenceWave + "_" + str(tBin) +
                                      "_index")
            refHistIndex.SetDirectory(0)
            if not refHistIndex:
                raise IOError("Could not get '" + referenceWave + "_" +
                              str(tBin) + "_index" + "' from '" +
                              self.inFileName + "'")
            changeReferenceWave(histListReal, histListImag, histListIndx,
                                comaHists, refHistReal, refHistImag,
                                refHistIndex, startBin, stopBin)

        ab = allBins(startBin, stopBin, histListReal, histListImag,
                     histListNorm, histListIndx, comaHists, intHistsReal,
                     intHistsImag)

        zeroCount = 0
        zeroHistList = []
        eigenHistList = []
        while True:
            zeroName = "zero" + str(zeroCount) + "_" + str(tBin)
            eigenName = "eigen" + str(zeroCount) + "_" + str(tBin)
            zeroHist = inFile.Get(zeroName)
            if not zeroHist:
                break
            zeroHist.SetDirectory(0)
            print "Adding zero-mode"
            zeroCount += 1
            if not zeroForSectors(sectors, zeroHist.GetTitle()):
                continue
            zeroHistList.append(zeroHist)

            eigenHist = inFile.Get(eigenName)
            eigenHist.SetDirectory(0)
            if eigenHist:
                eigenHistList.append(eigenHist)
        if (not len(eigenHistList) == 0) and (not len(eigenHistList)
                                              == len(zeroHistList)):
            raise ValueError(
                "Number of eigenvalue histograms does not match, but is also nonzero"
            )
        removeCertainZeroModes(zeroHistList, eigenHistList)
        for zeroHist in zeroHistList:
            borders = getZeroHistBorders(zeroHist)
            ab.addZeroMode(borders, zeroHist)

        writeSamples = False
        nRand = 100

        rh = histListReal[0]
        nPts = rh.GetNbinsY()
        valsC = np.zeros((2 * nPts, nRand))
        valsD = np.zeros((2 * nPts, nRand))

        for r in range(nRand + 1):

            ab.initChi2(waveModel)

            shapePars = []
            chi2, params = ab.chi2(shapePars, returnParameters=True)
            errs = ab.getNonShapeUncertainties(shapePars)
            paramsZ = ab.linearizeZeroModeParameters(params)

            zeroP = [0.] * len(paramsZ)
            argandNameBase = "./samplingArgands/argand_<mode>_" + str(
                r) + ".dat"

            IC = rh.Clone()
            IC.Reset()
            ab.fillHistograms(paramsZ, [IC], mode=INTENS)
            renormToBinWidth(IC, 1.)

            rC = rh.Clone()
            rC.Reset()
            ab.fillHistograms(paramsZ, [rC], mode=REAL)
            renormToBinWidth(rC, .5)

            iC = rh.Clone()
            iC.Reset()
            ab.fillHistograms(paramsZ, [iC], mode=IMAG)
            renormToBinWidth(iC, .5)

            if not r == 0:  # ugly, but r = 0 is unrandomized
                for i in range(nPts):
                    valsC[2 * i, r - 1] = rC.GetBinContent(mBin + 1, i + 1)
                    valsC[2 * i + 1, r - 1] = iC.GetBinContent(mBin + 1, i + 1)

            if writeSamples:
                with open(argandNameBase.replace("<mode>", "C"),
                          'w') as outFile:
                    for i in range(nPts):
                        m = rC.GetYaxis().GetBinCenter(i)
                        outFile.write(str(m))
                        for h in [IC, rC, iC]:
                            v = h.GetBinContent(mBin + 1, i + 1)
                            e = h.GetBinError(mBin + 1, i + 1)
                            if v == 0. and e == 0.:
                                continue
                            outFile.write(' ' + str(v) + ' ' + str(e))
                        outFile.write('\n')

            ID = rh.Clone()
            ID.Reset()
            ab.fillHistograms(zeroP, [ID], mode=INTENS)
            renormToBinWidth(ID, 1.)

            rD = rh.Clone()
            rD.Reset()
            ab.fillHistograms(zeroP, [rD], mode=REAL)
            renormToBinWidth(rD, .5)

            iD = rh.Clone()
            iD.Reset()
            ab.fillHistograms(zeroP, [iD], mode=IMAG)
            renormToBinWidth(iD, .5)

            if not r == 0:  # ugly, but r = 0 is unrandomized
                for i in range(nPts):
                    valsD[2 * i, r - 1] = rD.GetBinContent(mBin + 1, i + 1)
                    valsD[2 * i + 1, r - 1] = iD.GetBinContent(mBin + 1, i + 1)

            if writeSamples:
                with open(argandNameBase.replace("<mode>", "D"),
                          'w') as outFile:
                    for i in range(nPts):
                        m = rD.GetYaxis().GetBinCenter(i)
                        outFile.write(str(m))
                        for h in [ID, rD, iD]:
                            v = h.GetBinContent(mBin + 1, i + 1)
                            e = h.GetBinError(mBin + 1, i + 1)
                            if v == 0. and e == 0.:
                                continue
                            outFile.write(' ' + str(v) + ' ' + str(e))
                        outFile.write('\n')

            ab.randomize(
            )  # Put the randomization at the end, to have the fist run with unrandomized points

        correl = rh.Clone()
        correl.Reset()
        ab.fillHistograms(paramsZ, [correl], mode=REIMCORRELATION)
        renormToBinWidth(correl, 1.)
        if writeSamples:
            with open("correlations_D.dat", 'w') as outFile:
                for i in range(correl.GetNbinsY()):
                    outFile.write(
                        str(rD.GetBinError(mBin + 1, i + 1)**2) + ' ' +
                        str(correl.GetBinContent(mBin + 1, i + 1)) + ' ' +
                        str(iD.GetBinError(mBin + 1, i + 1)**2) + '\n')
        ab.removeZeroModeFromComa()
        correl.Reset()
        ab.fillHistograms(paramsZ, [correl], mode=REIMCORRELATION)
        rC.Reset()
        iC.Reset()
        ab.fillHistograms(paramsZ, [rC], mode=REAL)
        ab.fillHistograms(paramsZ, [iC], mode=IMAG)
        renormToBinWidth(correl, 1.)
        renormToBinWidth(rC, .5)
        renormToBinWidth(iC, .5)
        with open("correlations_C.dat", 'w') as outFile:
            for i in range(correl.GetNbinsY()):
                outFile.write(
                    str(rC.GetBinError(mBin + 1, i + 1)**2) + ' ' +
                    str(correl.GetBinContent(mBin + 1, i + 1)) + ' ' +
                    str(iC.GetBinError(mBin + 1, i + 1)**2) + '\n')