[#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] PROGRESS:InputArguments -- initializing physics inputs from file /home/sftnight/build/workspace/root-makedoc-v632/rootspi/rdoc/src/v6-32-00-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-v632/rootspi/rdoc/src/v6-32-00-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) ] = 375639
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 )