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rf705_linearmorph.C File Reference

## Detailed Description

Special pdf's: linear interpolation between pdf shapes using the 'Alex Read' algorithm

#include "RooRealVar.h"
#include "RooDataSet.h"
#include "RooGaussian.h"
#include "RooPolynomial.h"
#include "TCanvas.h"
#include "TAxis.h"
#include "RooPlot.h"
#include "TH1.h"
using namespace RooFit;
{
// C r e a t e e n d p o i n t p d f s h a p e s
// ------------------------------------------------------
// Observable
RooRealVar x("x", "x", -20, 20);
// Lower end point shape: a Gaussian
RooRealVar g1mean("g1mean", "g1mean", -10);
RooGaussian g1("g1", "g1", x, g1mean, 2.0);
// Upper end point shape: a Polynomial
RooPolynomial g2("g2", "g2", x, RooArgSet(-0.03, -0.001));
// C r e a t e i n t e r p o l a t i n g p d f
// -----------------------------------------------
// Create interpolation variable
RooRealVar alpha("alpha", "alpha", 0, 1.0);
// Specify sampling density on observable and interpolation variable
x.setBins(1000, "cache");
alpha.setBins(50, "cache");
// Construct interpolating pdf in (x,a) represent g1(x) at a=a_min
// and g2(x) at a=a_max
RooIntegralMorph lmorph("lmorph", "lmorph", g1, g2, x, alpha);
// P l o t i n t e r p o l a t i n g p d f a t v a r i o u s a l p h a
// -----------------------------------------------------------------------------
// Show end points as blue curves
RooPlot *frame1 = x.frame();
g1.plotOn(frame1);
g2.plotOn(frame1);
// Show interpolated shapes in red
alpha.setVal(0.125);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.25);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.375);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.50);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.625);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.75);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.875);
lmorph.plotOn(frame1, LineColor(kRed));
alpha.setVal(0.95);
lmorph.plotOn(frame1, LineColor(kRed));
// S h o w 2 D d i s t r i b u t i o n o f p d f ( x , a l p h a )
// -----------------------------------------------------------------------
// Create 2D histogram
TH1 *hh = lmorph.createHistogram("hh", x, Binning(40), YVar(alpha, Binning(40)));
// F i t p d f t o d a t a s e t w i t h a l p h a = 0 . 8
// -----------------------------------------------------------------
// Generate a toy dataset at alpha = 0.8
alpha = 0.8;
std::unique_ptr<RooDataSet> data{lmorph.generate(x, 1000)};
// Fit pdf to toy data
lmorph.setCacheAlpha(true);
lmorph.fitTo(*data, Verbose(true), PrintLevel(-1));
// Plot fitted pdf and data overlaid
RooPlot *frame2 = x.frame(Bins(100));
data->plotOn(frame2);
lmorph.plotOn(frame2);
// S c a n - l o g ( L ) v s a l p h a
// -----------------------------------------
// Show scan -log(L) of dataset w.r.t alpha
RooPlot *frame3 = alpha.frame(Bins(100), Range(0.1, 0.9));
// Make 2D pdf of histogram
std::unique_ptr<RooAbsReal> nll{lmorph.createNLL(*data)};
nll->plotOn(frame3, ShiftToZero());
lmorph.setCacheAlpha(false);
TCanvas *c = new TCanvas("rf705_linearmorph", "rf705_linearmorph", 800, 800);
c->Divide(2, 2);
c->cd(1);
frame1->GetYaxis()->SetTitleOffset(1.6);
frame1->Draw();
c->cd(2);
hh->GetZaxis()->SetTitleOffset(2.5);
hh->Draw("surf");
c->cd(3);
frame3->GetYaxis()->SetTitleOffset(1.4);
frame3->Draw();
c->cd(4);
frame2->GetYaxis()->SetTitleOffset(1.4);
frame2->Draw();
return;
}
#define c(i)
Definition RSha256.hxx:101
@ kRed
Definition Rtypes.h:66
@ kBlue
Definition Rtypes.h:66
Option_t Option_t TPoint TPoint const char GetTextMagnitude GetFillStyle GetLineColor GetLineWidth GetMarkerStyle GetTextAlign GetTextColor GetTextSize void data
RooArgSet is a container object that can hold multiple RooAbsArg objects.
Definition RooArgSet.h:55
Plain Gaussian p.d.f.
Definition RooGaussian.h:24
Class RooIntegralMorph is an implementation of the histogram interpolation technique described by Ale...
Plot frame and a container for graphics objects within that frame.
Definition RooPlot.h:43
static RooPlot * frame(const RooAbsRealLValue &var, double xmin, double xmax, Int_t nBins)
Create a new frame for a given variable in x.
Definition RooPlot.cxx:237
TAxis * GetYaxis() const
Definition RooPlot.cxx:1276
void Draw(Option_t *options=nullptr) override
Draw this plot and all of the elements it contains.
Definition RooPlot.cxx:649
RooPolynomial implements a polynomial p.d.f of the form.
Variable that can be changed from the outside.
Definition RooRealVar.h:37
virtual void SetTitleOffset(Float_t offset=1)
Set distance between the axis and the axis title.
Definition TAttAxis.cxx:298
virtual void SetLineColor(Color_t lcolor)
Set the line color.
Definition TAttLine.h:40
The Canvas class.
Definition TCanvas.h:23
TH1 is the base class of all histogram classes in ROOT.
Definition TH1.h:59
TAxis * GetZaxis()
Definition TH1.h:326
void Draw(Option_t *option="") override
Draw this histogram with options.
Definition TH1.cxx:3066
RooCmdArg ShiftToZero()
Double_t x[n]
Definition legend1.C:17
double nll(double pdf, double weight, int binnedL, int doBinOffset)
Definition MathFuncs.h:321
The namespace RooFit contains mostly switches that change the behaviour of functions of PDFs (or othe...
Definition JSONIO.h:26
Ta Range(0, 0, 1, 1)
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf68520 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x_alpha for nset (x,alpha) with code 0 from preexisting content.
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf78030 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf68520 with pdf g1_MORPH_g2_CACHE_Obs[x]_NORM_x for nset (x) with code 0 from preexisting content.
[#0] PROGRESS:Eval -- RooIntegralMorph::fillCacheObject(lmorph) filling multi-dimensional cache..................................................
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bf68520 with pdf g1_MORPH_g2_CACHE_Obs[alpha,x]_NORM_x for nset (x) with code 0
[#1] INFO:Fitting -- RooAbsPdf::fitTo(lmorph_over_lmorph_Int[x]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Fitting -- using CPU computation library compiled with -mavx2
[#1] INFO:Fitting -- RooAddition::defaultErrorLevel(nll_lmorph_over_lmorph_Int[x]_lmorphData) Summation contains a RooNLLVar, using its error level
[#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: activating const optimization
[#0] WARNING:Minimization -- RooAbsMinimizerFcn::synchronize: WARNING: no initial error estimate available for alpha: using 0.1
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63c01f9f0 with pdf g1_MORPH_g2_CACHE_Obs[alpha,x] for nset () with code 1 from preexisting content.
prevFCN = 9770.913047 alpha=0.807,
prevFCN = 9770.181345 alpha=0.7929,
prevFCN = 9772.015076 alpha=0.8008,
prevFCN = 9770.800603 alpha=0.7992,
prevFCN = 9770.785966 alpha=0.8001,
prevFCN = 9770.896896 alpha=0.7999,
prevFCN = 9770.682007
prevFCN = 9770.682007 alpha=0.7994,
prevFCN = 9770.748743 alpha=0.7997,
prevFCN = 9770.712263 alpha=0.8004,
prevFCN = 9770.849353 alpha=0.8002,
prevFCN = 9770.888877 alpha=0.8,
prevFCN = 9770.908995 alpha=0.8,
prevFCN = 9770.671799 alpha=0.8,
prevFCN = 9770.909805 alpha=0.8,
prevFCN = 9770.667124 alpha=0.8,
prevFCN = 9770.910615 alpha=0.8,
prevFCN = 9770.91254 alpha=0.8,
prevFCN = 9770.912239 alpha=0.8,
prevFCN = 9770.669355 alpha=0.8,
prevFCN = 9770.666818 alpha=0.8,
prevFCN = 9770.66743 alpha=0.8,
prevFCN = 9770.91141 alpha=0.8,
prevFCN = 9770.670187 alpha=0.8,
prevFCN = 9770.668617 alpha=0.8,
prevFCN = 9770.667852 alpha=0.8,
prevFCN = 9770.667479 alpha=0.8,
prevFCN = 9770.667297 alpha=0.8,
prevFCN = 9770.667208 alpha=0.8,
prevFCN = 9770.667165 alpha=0.8,
prevFCN = 9770.667144 alpha=0.8,
prevFCN = 9770.667134 alpha=0.8,
prevFCN = 9770.667129 alpha=0.8,
prevFCN = 9770.667126 alpha=0.8,
prevFCN = 9770.667124 alpha=0.8,
prevFCN = 9770.91141 alpha=0.8,
prevFCN = 9770.670187 alpha=0.8,
prevFCN = 9770.666827 alpha=0.8,
prevFCN = 9770.667421 alpha=0.8,
prevFCN = 9770.667064 alpha=0.8,
prevFCN = 9770.667183 alpha=0.8,
prevFCN = 9770.667124 alpha=0.8,
prevFCN = 9770.667064 alpha=0.8,
prevFCN = 9770.667183 alpha=0.8,
prevFCN = 9770.66653 alpha=0.8,
prevFCN = 9770.667718 alpha=0.8,
prevFCN = 9770.667005 alpha=0.8,
prevFCN = 9770.667243 alpha=0.8, [#1] INFO:Minimization -- RooAbsMinimizerFcn::setOptimizeConst: deactivating const optimization
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bfed760 with pdf g1_MORPH_g2_CACHE_Obs[alpha,x]_NORM_x for nset (x) with code 0 from preexisting content.
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63bfed760 with pdf g1_MORPH_g2_CACHE_Obs[alpha,x]_NORM_x for nset (x) with code 0 from preexisting content.
[#1] INFO:Fitting -- RooAbsPdf::fitTo(lmorph_over_lmorph_Int[x]) fixing normalization set for coefficient determination to observables in data
[#1] INFO:Caching -- RooAbsCachedPdf::getCache(lmorph) creating new cache 0x55c63ace2370 with pdf g1_MORPH_g2_CACHE_Obs[alpha,x] for nset () with code 1 from preexisting content.
Date
July 2008

Definition in file rf705_linearmorph.C.