doc/master/rf712__lagrangianmorphfit_8py.html

import ROOT


ROOT.gStyle.SetOptStat(0)

ROOT.PyConfig.IgnoreCommandLineOptions = True

ROOT.gROOT.SetBatch(True)


# Create functions

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -

observablename = "pTV"

obsvar = ROOT.RooRealVar(observablename, "observable of pTV", 10, 600)


# Setup three EFT coefficient and constant SM modifier

kSM = ROOT.RooRealVar("kSM", "sm modifier", 1.0)

cHq3 = ROOT.RooRealVar("cHq3", "EFT modifier", -10.0, 10.0)

cHq3.setAttribute("NewPhysics", True)

cHl3 = ROOT.RooRealVar("cHl3", "EFT modifier", -10.0, 10.0)

cHl3.setAttribute("NewPhysics", True)

cHDD = ROOT.RooRealVar("cHDD", "EFT modifier", -10.0, 10.0)

cHDD.setAttribute("NewPhysics", True)


# Inputs to setup config

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -

infilename = ROOT.gROOT.GetTutorialDir().Data() + "/roofit/roofit/input_histos_rf_lagrangianmorph.root"

par = "cHq3"

samplelist = [

    "SM_NPsq0",

    "cHq3_NPsq1",

    "cHq3_NPsq2",

    "cHl3_NPsq1",

    "cHl3_NPsq2",

    "cHDD_NPsq1",

    "cHDD_NPsq2",

    "cHl3_cHDD_NPsq2",

    "cHq3_cHDD_NPsq2",

    "cHl3_cHq3_NPsq2",

]


# Set Config

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -


config = ROOT.RooLagrangianMorphFunc.Config()

config.fileName = infilename

config.observableName = observablename

config.folderNames = samplelist

config.couplings.add(cHq3)

config.couplings.add(cHDD)

config.couplings.add(cHl3)

config.couplings.add(kSM)


# Create morphing function

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -


morphfunc = ROOT.RooLagrangianMorphFunc("morphfunc", "morphed dist. of pTV", config)


# Create pseudo data histogram to fit at cHq3 = 0.01, cHl3 = 1.0, cHDD = 0.2

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -

morphfunc.setParameter("cHq3", 0.01)

morphfunc.setParameter("cHl3", 1.0)

morphfunc.setParameter("cHDD", 0.2)


pseudo_hist = morphfunc.createTH1("pseudo_hist")

pseudo_dh = ROOT.RooDataHist("pseudo_dh", "pseudo_dh", [obsvar], pseudo_hist)


# reset parameters to zeros before fit

morphfunc.setParameter("cHq3", 0.0)

morphfunc.setParameter("cHl3", 0.0)

morphfunc.setParameter("cHDD", 0.0)


# set error to set initial step size in fit

cHq3.setError(0.1)

cHl3.setError(0.1)

cHDD.setError(0.1)


# Wrap pdf on morphfunc and fit to data histogram

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -


# wrapper pdf to normalise morphing function to a morphing pdf

model = ROOT.RooWrapperPdf("wrap_pdf", "wrap_pdf", morphfunc)

fitres = model.fitTo(pseudo_dh, SumW2Error=True, Optimize=False, Save=True, PrintLevel=-1)

# run the fit

# Get the correlation matrix

hcorr = fitres.correlationHist()


# Extract postfit distribution and plot with initial histogram

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -


postfit_hist = morphfunc.createTH1("morphing_postfit_hist")

postfit_dh = ROOT.RooDataHist("morphing_postfit_dh", "morphing_postfit_dh", [obsvar], postfit_hist)


frame0 = obsvar.frame(Title="Input templates for p_{T}^{V}")

postfit_dh.plotOn(

    frame0,

    Name="postfit_dist",

    DrawOption="C",

    LineColor="b",

    DataError=None,

    XErrorSize=0,

)

pseudo_dh.plotOn(frame0, Name="input")


# Draw plots on canvas

# -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -- -


c1 = ROOT.TCanvas("fig3", "fig3", 800, 400)

c1.Divide(2, 1)


c1.cd(1)

ROOT.gPad.SetLeftMargin(0.15)

ROOT.gPad.SetRightMargin(0.05)


model.paramOn(frame0, ROOT.RooFit.Layout(0.50, 0.75, 0.9))

frame0.GetXaxis().SetTitle("p_{T}^{V}")

frame0.Draw()


c1.cd(2)

ROOT.gPad.SetLeftMargin(0.15)

ROOT.gPad.SetRightMargin(0.15)

ROOT.gStyle.SetPaintTextFormat("4.1f")

ROOT.gStyle.SetOptStat(0)

hcorr.SetMarkerSize(3.0)

hcorr.SetTitle("correlation matrix")

hcorr.GetYaxis().SetTitleOffset(1.4)

hcorr.GetYaxis().SetLabelSize(0.1)

hcorr.GetXaxis().SetLabelSize(0.1)

hcorr.GetYaxis().SetBinLabel(1, "c_{HDD}")

hcorr.GetYaxis().SetBinLabel(2, "c_{Hl^{(3)}}")

hcorr.GetYaxis().SetBinLabel(3, "c_{Hq^{(3)}}")

hcorr.GetXaxis().SetBinLabel(3, "c_{HDD}")

hcorr.GetXaxis().SetBinLabel(2, "c_{Hl^{(3)}}")

hcorr.GetXaxis().SetBinLabel(1, "c_{Hq^{(3)}}")

hcorr.GetYaxis().SetTitleOffset(1.4)

hcorr.Draw("colz text")


c1.SaveAs("rf712_lagrangianmorphfit.png")

TRangeDynCast
ROOT::Detail::TRangeCast< T, true > TRangeDynCast
TRangeDynCast is an adapter class that allows the typed iteration through a TCollection.
Definition TCollection.h:360