␛[1mRooFit v3.60 -- Developed by Wouter Verkerke and David Kirkby␛[0m
Copyright (C) 2000-2013 NIKHEF, University of California & Stanford University
All rights reserved, please read http://roofit.sourceforge.net/license.txt
[#1] INFO:Caching -- Changing internal binning of variable 'x' in FFT 'lxg' from 100 to 930 to improve the precision of the numerical FFT. This can be done manually by setting an additional binning named 'cache'.
[#0] WARNING:InputArguments -- The parameter 's' with range [-1e+30, 1e+30] of the RooGaussian 'gs' exceeds the safe range of (0, inf). Advise to limit its range.
[#0] PROGRESS:InputArguments -- initializing physics inputs from file /home/sftnight/build/workspace/root-makedoc-v626/rootspi/rdoc/src/v6-26-00-patches.build/tutorials/roofit/input_histos_rf_lagrangianmorph.root with object name(s) 'pTV'
[#1] INFO:ObjectHandling -- RooWorkspace::import(w) importing dataset dh_SM_NPsq0_morph
[#1] INFO:ObjectHandling -- RooWorkspace::import(w) importing dataset dh_cHq3_NPsq1_morph
[#1] INFO:ObjectHandling -- RooWorkspace::import(w) importing dataset dh_cHq3_NPsq2_morph
[#1] INFO:ObjectHandling -- RooWorkspace::autoImportClass(w) importing code of class RooCFAuto000Pdf from /home/sftnight/build/workspace/root-makedoc-v626/rootspi/rdoc/src/v6-26-00-patches/documentation/doxygen/RooCFAuto000Pdf.cxx and RooCFAuto000Pdf.h
RooWorkspace(w) w contents
variables
---------
(Nbkg,Nsig,SM,a,binWidth_pTV,c,cHq3,f,m,mg,nNP0,nNP1,nNP2,nNP3,nNP4,pTV,s,te_c0,te_c1,te_c2,te_x^0,te_x^1,te_x^2,u,v,x,y,z)
p.d.f.s
-------
RooGenericPdf::G[ actualVars=(x) formula="x[0]*x[0]+1" ] = 1
RooCFAuto000Pdf::GC[ x=x a=a ] = 1
RooChebychev::ch[ x=x coefList=(0.1,0.2,-0.3) ] = 0.8
RooAddPdf::extsummodel[ Nsig * gx + Nbkg * ch ] = 0.9/1
RooGaussian::g[ x=x mean=mg sigma=1 ] = 1
RooGaussian::gs[ x=x mean=m sigma=s ] = 1
RooGaussian::gx[ x=x mean=m sigma=1 ] = 1
RooProdPdf::gxycond[ gx * gy|x ] = 1
RooProdPdf::gxz[ gx * gz ] = 1
RooGaussian::gy[ x=y mean=x sigma=1 ] = 1
RooGaussian::gz[ x=z mean=0 sigma=1 ] = 1
RooLandau::lc[ x=x mean=0 sigma=1 ] = 0.178854
RooLandau::ls[ x=x mean=0 sigma=1 ] = 0.178854
RooFFTConvPdf::lxg[ g(x) (*) lc(x) ] = 0.171832
RooSimultaneous::smodel[ indexCat=c A=gs B=ls ] = 1
RooAddPdf::summodel[ f * gx + [%] * ch ] = 0.9/1
functions
--------
RooLagrangianMorphFunc::morph[ physics=(phys_SM_NPsq0_morph,phys_cHq3_NPsq1_morph,phys_cHq3_NPsq2_morph) operators=(cHq3,SM) observables=(pTV) binWidths=(binWidth_pTV) flags=(nNP0,nNP1,nNP2,nNP3,nNP4) binWidth_pTV * SM_NPsq0_morph + binWidth_pTV * cHq3_NPsq1_morph + binWidth_pTV * cHq3_NPsq2_morph ] = 35.9835
RooHistFunc::phys_SM_NPsq0_morph[ depList=(pTV) ] = 65.1309
RooHistFunc::phys_cHq3_NPsq1_morph[ depList=(pTV) ] = 544.966
RooHistFunc::phys_cHq3_NPsq2_morph[ depList=(pTV) ] = 1528.22
RooFormulaVar::poly[ actualVars=(x) formula="x^4+5*x^3+2*x^2+x+1" ] = 1
RooPolyFunc::te[ vars=(x) te_t0=(te_x^0,te_c0) te_t1=(te_x^1,te_c1) te_t2=(te_x^2,te_c2) ] = 1
RooProduct::uv[ u * v ] = 100
RooAddition::uv2[ u + v ] = 20
embedded datasets (in pdfs and functions)
-----------------------------------------
RooDataHist::dh_SM_NPsq0_morph(pTV)
RooDataHist::dh_cHq3_NPsq1_morph(pTV)
RooDataHist::dh_cHq3_NPsq2_morph(pTV)
embedded class code
-------------------
RooCFAuto000Pdf
embedded precalculated expensive components
-------------------------------------------
uid = 0 key=lxg_g_CONV_lc_CACHEHIST_Obs[x]_BufFrac0.1_BufStrat0 value=RooDataHist::lxg_g_CONV_lc_CACHEHIST_Obs[x]_BufFrac0.1_BufStrat0 parameters=( mg=0 )